diff --git "a/index-17_Va4sS.js" "b/index-17_Va4sS.js"
deleted file mode 100644--- "a/index-17_Va4sS.js"
+++ /dev/null
@@ -1,27471 +0,0 @@
-(function () {
-    const e = document.createElement('link').relList;
-    if (e && e.supports && e.supports('modulepreload')) return;
-    for (const u of document.querySelectorAll('link[rel="modulepreload"]')) i(u);
-    new MutationObserver((u) => {
-        for (const n of u)
-            if (n.type === 'childList')
-                for (const s of n.addedNodes) s.tagName === 'LINK' && s.rel === 'modulepreload' && i(s);
-    }).observe(document, { childList: !0, subtree: !0 });
-    function o(u) {
-        const n = {};
-        return (
-            u.integrity && (n.integrity = u.integrity),
-            u.referrerPolicy && (n.referrerPolicy = u.referrerPolicy),
-            u.crossOrigin === 'use-credentials'
-                ? (n.credentials = 'include')
-                : u.crossOrigin === 'anonymous'
-                ? (n.credentials = 'omit')
-                : (n.credentials = 'same-origin'),
-            n
-        );
-    }
-    function i(u) {
-        if (u.ep) return;
-        u.ep = !0;
-        const n = o(u);
-        fetch(u.href, n);
-    }
-})();
-function dispatchCallback(t, e) {
-    t && t(e);
-}
-function reverseDictionary(t) {
-    return Object.fromEntries(Object.entries(t).map(([e, o]) => [o, e]));
-}
-const Callable = class {
-    constructor() {
-        let t = function (...e) {
-            return t._call(...e);
-        };
-        return Object.setPrototypeOf(t, new.target.prototype);
-    }
-    _call(...t) {
-        throw Error('Must implement _call method in subclass');
-    }
-};
-function isTypedArray(t) {
-    return t?.prototype?.__proto__?.constructor?.name === 'TypedArray';
-}
-function isIntegralNumber(t) {
-    return Number.isInteger(t) || typeof t == 'bigint';
-}
-function exists(t) {
-    return t != null;
-}
-function calculateDimensions(t) {
-    const e = [];
-    let o = t;
-    for (; Array.isArray(o); ) e.push(o.length), (o = o[0]);
-    return e;
-}
-function mergeArrays(...t) {
-    return Array.prototype.concat.apply([], t);
-}
-function calculateReflectOffset(t, e) {
-    return Math.abs(((t + e) % (2 * e)) - e);
-}
-const sharp = {},
-    ONNX_NODE = Object.freeze(
-        Object.defineProperty({ __proto__: null, default: sharp }, Symbol.toStringTag, { value: 'Module' })
-    ),
-    VERSION = '3.0.0-alpha.0',
-    BROWSER_ENV$1 = typeof self < 'u',
-    WEB_CACHE_AVAILABLE = BROWSER_ENV$1 && 'caches' in self,
-    FS_AVAILABLE = !isEmpty(sharp),
-    PATH_AVAILABLE = !isEmpty(sharp),
-    RUNNING_LOCALLY = FS_AVAILABLE && PATH_AVAILABLE,
-    __dirname$1 = RUNNING_LOCALLY ? sharp.dirname(sharp.dirname(sharp.fileURLToPath(import.meta.url))) : './',
-    DEFAULT_CACHE_DIR = RUNNING_LOCALLY ? sharp.join(__dirname$1, '/.cache/') : null,
-    DEFAULT_LOCAL_MODEL_PATH = '/models/',
-    localModelPath = RUNNING_LOCALLY ? sharp.join(__dirname$1, DEFAULT_LOCAL_MODEL_PATH) : DEFAULT_LOCAL_MODEL_PATH,
-    env = {
-        backends: { onnx: {}, tfjs: {} },
-        experimental: { useWebGPU: !1 },
-        __dirname: __dirname$1,
-        version: VERSION,
-        allowRemoteModels: !0,
-        remoteHost: 'https://huggingface.co./',
-        remotePathTemplate: '{model}/resolve/{revision}/',
-        allowLocalModels: !BROWSER_ENV$1,
-        localModelPath,
-        useFS: FS_AVAILABLE,
-        useBrowserCache: WEB_CACHE_AVAILABLE,
-        useFSCache: FS_AVAILABLE,
-        cacheDir: DEFAULT_CACHE_DIR,
-        useCustomCache: !1,
-        customCache: null,
-    };
-function isEmpty(t) {
-    return Object.keys(t).length === 0;
-}
-var define_process_env_default = {};
-class FileResponse {
-    _CONTENT_TYPE_MAP = {
-        txt: 'text/plain',
-        html: 'text/html',
-        css: 'text/css',
-        js: 'text/javascript',
-        json: 'application/json',
-        png: 'image/png',
-        jpg: 'image/jpeg',
-        jpeg: 'image/jpeg',
-        gif: 'image/gif',
-    };
-    constructor(e) {
-        if (((this.filePath = e), (this.headers = new Headers()), (this.exists = sharp.existsSync(e)), this.exists)) {
-            (this.status = 200), (this.statusText = 'OK');
-            let o = sharp.statSync(e);
-            this.headers.set('content-length', o.size.toString()), this.updateContentType();
-            let i = this;
-            this.body = new ReadableStream({
-                start(u) {
-                    i.arrayBuffer().then((n) => {
-                        u.enqueue(new Uint8Array(n)), u.close();
-                    });
-                },
-            });
-        } else (this.status = 404), (this.statusText = 'Not Found'), (this.body = null);
-    }
-    updateContentType() {
-        const e = this.filePath.toString().split('.').pop().toLowerCase();
-        this.headers.set('content-type', this._CONTENT_TYPE_MAP[e] ?? 'application/octet-stream');
-    }
-    clone() {
-        let e = new FileResponse(this.filePath);
-        return (
-            (e.exists = this.exists),
-            (e.status = this.status),
-            (e.statusText = this.statusText),
-            (e.headers = new Headers(this.headers)),
-            e
-        );
-    }
-    async arrayBuffer() {
-        return (await sharp.promises.readFile(this.filePath)).buffer;
-    }
-    async blob() {
-        const e = await sharp.promises.readFile(this.filePath);
-        return new Blob([e], { type: this.headers.get('content-type') });
-    }
-    async text() {
-        return await sharp.promises.readFile(this.filePath, 'utf8');
-    }
-    async json() {
-        return JSON.parse(await this.text());
-    }
-}
-function isValidHttpUrl(t, e = null) {
-    let o;
-    try {
-        o = new URL(t);
-    } catch {
-        return !1;
-    }
-    return e && !e.includes(o.hostname) ? !1 : o.protocol === 'http:' || o.protocol === 'https:';
-}
-async function getFile(t) {
-    if (env.useFS && !isValidHttpUrl(t)) return new FileResponse(t);
-    if (typeof process < 'u' && process?.release?.name === 'node') {
-        const e = !!define_process_env_default?.TESTING_REMOTELY,
-            o = env.version,
-            i = new Headers();
-        if (
-            (i.set('User-Agent', `transformers.js/${o}; is_ci/${e};`), isValidHttpUrl(t, ['huggingface.co', 'hf.co']))
-        ) {
-            const n = define_process_env_default?.HF_TOKEN ?? define_process_env_default?.HF_ACCESS_TOKEN;
-            n && i.set('Authorization', `Bearer ${n}`);
-        }
-        return fetch(t, { headers: i });
-    } else return fetch(t);
-}
-const ERROR_MAPPING = {
-    400: 'Bad request error occurred while trying to load file',
-    401: 'Unauthorized access to file',
-    403: 'Forbidden access to file',
-    404: 'Could not locate file',
-    408: 'Request timeout error occurred while trying to load file',
-    500: 'Internal server error error occurred while trying to load file',
-    502: 'Bad gateway error occurred while trying to load file',
-    503: 'Service unavailable error occurred while trying to load file',
-    504: 'Gateway timeout error occurred while trying to load file',
-};
-function handleError(t, e, o) {
-    if (!o) return null;
-    const i = ERROR_MAPPING[t] ?? `Error (${t}) occurred while trying to load file`;
-    throw Error(`${i}: "${e}".`);
-}
-class FileCache {
-    constructor(e) {
-        this.path = e;
-    }
-    async match(e) {
-        let o = sharp.join(this.path, e),
-            i = new FileResponse(o);
-        if (i.exists) return i;
-    }
-    async put(e, o) {
-        const i = Buffer.from(await o.arrayBuffer());
-        let u = sharp.join(this.path, e);
-        try {
-            await sharp.promises.mkdir(sharp.dirname(u), { recursive: !0 }), await sharp.promises.writeFile(u, i);
-        } catch (n) {
-            console.warn('An error occurred while writing the file to cache:', n);
-        }
-    }
-}
-async function tryCache(t, ...e) {
-    for (let o of e)
-        try {
-            let i = await t.match(o);
-            if (i) return i;
-        } catch {
-            continue;
-        }
-}
-async function getModelFile(t, e, o = !0, i = {}) {
-    if (!env.allowLocalModels && i.local_files_only)
-        throw Error(
-            'Invalid configuration detected: local models are disabled (`env.allowLocalModels=false`) but you have requested to only use local models (`local_files_only=true`).'
-        );
-    dispatchCallback(i.progress_callback, { status: 'initiate', name: t, file: e });
-    let u;
-    if (!u && env.useBrowserCache) {
-        if (typeof caches > 'u') throw Error('Browser cache is not available in this environment.');
-        try {
-            u = await caches.open('transformers-cache');
-        } catch (S) {
-            console.warn('An error occurred while opening the browser cache:', S);
-        }
-    }
-    if ((!u && env.useFSCache && (u = new FileCache(i.cache_dir ?? env.cacheDir)), !u && env.useCustomCache))
-        throw Error('`env.useCustomCache=true`, but `env.customCache` is not defined.');
-    const n = i.revision ?? 'main';
-    let s = pathJoin(t, e),
-        d = pathJoin(env.localModelPath, s),
-        f = pathJoin(
-            env.remoteHost,
-            env.remotePathTemplate.replaceAll('{model}', t).replaceAll('{revision}', encodeURIComponent(n)),
-            e
-        ),
-        r = n === 'main' ? s : pathJoin(t, n, e),
-        a,
-        l = u instanceof FileCache ? r : f,
-        p = !1,
-        m;
-    u && (m = await tryCache(u, d, l));
-    const y = m !== void 0;
-    if (m === void 0) {
-        if (env.allowLocalModels)
-            if (isValidHttpUrl(s)) {
-                if (i.local_files_only)
-                    throw new Error(`\`local_files_only=true\`, but attempted to load a remote file from: ${s}.`);
-            } else
-                try {
-                    (m = await getFile(d)), (a = d);
-                } catch (E) {
-                    console.warn(`Unable to load from local path "${d}": "${E}"`);
-                }
-        if (m === void 0 || m.status === 404) {
-            if (i.local_files_only || !env.allowRemoteModels) {
-                if (o)
-                    throw Error(
-                        `\`local_files_only=true\` or \`env.allowRemoteModels=false\` and file was not found locally at "${d}".`
-                    );
-                return null;
-            }
-            if (((m = await getFile(f)), m.status !== 200)) return handleError(m.status, f, o);
-            a = l;
-        }
-        p = u && typeof Response < 'u' && m instanceof Response && m.status === 200;
-    }
-    dispatchCallback(i.progress_callback, { status: 'download', name: t, file: e });
-    const T = { status: 'progress', name: t, file: e };
-    let v;
-    return (
-        i.progress_callback
-            ? y && typeof navigator < 'u' && /firefox/i.test(navigator.userAgent)
-                ? ((v = new Uint8Array(await m.arrayBuffer())),
-                  dispatchCallback(i.progress_callback, { ...T, progress: 100, loaded: v.length, total: v.length }))
-                : (v = await readResponse(m, (S) => {
-                      dispatchCallback(i.progress_callback, { ...T, ...S });
-                  }))
-            : (v = new Uint8Array(await m.arrayBuffer())),
-        p &&
-            a &&
-            (await u.match(a)) === void 0 &&
-            (await u.put(a, new Response(v, { headers: m.headers })).catch((S) => {
-                console.warn(`Unable to add response to browser cache: ${S}.`);
-            })),
-        dispatchCallback(i.progress_callback, { status: 'done', name: t, file: e }),
-        v
-    );
-}
-async function getModelJSON(t, e, o = !0, i = {}) {
-    let u = await getModelFile(t, e, o, i);
-    if (u === null) return {};
-    let s = new TextDecoder('utf-8').decode(u);
-    return JSON.parse(s);
-}
-async function readResponse(t, e) {
-    const o = t.headers.get('Content-Length');
-    o === null &&
-        console.warn('Unable to determine content-length from response headers. Will expand buffer when needed.');
-    let i = parseInt(o ?? '0'),
-        u = new Uint8Array(i),
-        n = 0;
-    const s = t.body.getReader();
-    async function d() {
-        const { done: f, value: r } = await s.read();
-        if (f) return;
-        let a = n + r.length;
-        if (a > i) {
-            i = a;
-            let p = new Uint8Array(i);
-            p.set(u), (u = p);
-        }
-        u.set(r, n), (n = a);
-        const l = (n / i) * 100;
-        return e({ progress: l, loaded: n, total: i }), d();
-    }
-    return await d(), u;
-}
-function pathJoin(...t) {
-    return (
-        (t = t.map(
-            (e, o) => (
-                o && (e = e.replace(new RegExp('^/'), '')),
-                o !== t.length - 1 && (e = e.replace(new RegExp('/$'), '')),
-                e
-            )
-        )),
-        t.join('/')
-    );
-}
-function interpolate_data(t, [e, o, i], [u, n], s = 'bilinear', d = !1) {
-    const f = n / i,
-        r = u / o,
-        a = new t.constructor(u * n * e),
-        l = o * i,
-        p = u * n;
-    for (let m = 0; m < u; ++m)
-        for (let y = 0; y < n; ++y) {
-            const T = m * n + y,
-                v = (y + 0.5) / f - 0.5,
-                S = (m + 0.5) / r - 0.5;
-            let E = Math.floor(v),
-                A = Math.floor(S);
-            const F = Math.min(E + 1, i - 1),
-                B = Math.min(A + 1, o - 1);
-            (E = Math.max(E, 0)), (A = Math.max(A, 0));
-            const J = v - E,
-                Q = S - A,
-                re = (1 - J) * (1 - Q),
-                V = J * (1 - Q),
-                de = (1 - J) * Q,
-                ke = J * Q,
-                Ne = A * i,
-                Me = B * i,
-                Y = Ne + E,
-                _e = Ne + F,
-                he = Me + E,
-                ue = Me + F;
-            for (let pe = 0; pe < e; ++pe) {
-                const X = pe * l;
-                a[pe * p + T] = re * t[X + Y] + V * t[X + _e] + de * t[X + he] + ke * t[X + ue];
-            }
-        }
-    return a;
-}
-function transpose_data(t, e, o) {
-    const i = new Array(o.length),
-        u = new Array(o.length);
-    for (let d = o.length - 1, f = 1; d >= 0; --d) (u[d] = f), (i[d] = e[o[d]]), (f *= i[d]);
-    const n = o.map((d, f) => u[o.indexOf(f)]),
-        s = new t.constructor(t.length);
-    for (let d = 0; d < t.length; ++d) {
-        let f = 0;
-        for (let r = e.length - 1, a = d; r >= 0; --r) (f += (a % e[r]) * n[r]), (a = Math.floor(a / e[r]));
-        s[f] = t[d];
-    }
-    return [s, i];
-}
-function softmax(t) {
-    const e = max(t)[0],
-        o = t.map((n) => Math.exp(n - e)),
-        i = o.reduce((n, s) => n + s, 0);
-    return o.map((n) => n / i);
-}
-function log_softmax(t) {
-    return softmax(t).map((i) => Math.log(i));
-}
-function getTopItems(t, e = 0) {
-    return (
-        (t = Array.from(t)
-            .map((o, i) => [i, o])
-            .sort((o, i) => i[1] - o[1])),
-        e !== null && e > 0 && (t = t.slice(0, e)),
-        t
-    );
-}
-function min(t) {
-    if (t.length === 0) throw Error('Array must not be empty');
-    let e = t[0],
-        o = 0;
-    for (let i = 1; i < t.length; ++i) t[i] < e && ((e = t[i]), (o = i));
-    return [e, o];
-}
-function max(t) {
-    if (t.length === 0) throw Error('Array must not be empty');
-    let e = t[0],
-        o = 0;
-    for (let i = 1; i < t.length; ++i) t[i] > e && ((e = t[i]), (o = i));
-    return [Number(e), o];
-}
-function isPowerOfTwo(t) {
-    return t > 0 && (t & (t - 1)) === 0;
-}
-class P2FFT {
-    constructor(e) {
-        if (((this.size = e | 0), this.size <= 1 || !isPowerOfTwo(this.size)))
-            throw new Error('FFT size must be a power of two larger than 1');
-        (this._csize = e << 1), (this.table = new Float64Array(this.size * 2));
-        for (let i = 0; i < this.table.length; i += 2) {
-            const u = (Math.PI * i) / this.size;
-            (this.table[i] = Math.cos(u)), (this.table[i + 1] = -Math.sin(u));
-        }
-        let o = 0;
-        for (let i = 1; this.size > i; i <<= 1) ++o;
-        (this._width = o % 2 === 0 ? o - 1 : o), (this._bitrev = new Int32Array(1 << this._width));
-        for (let i = 0; i < this._bitrev.length; ++i) {
-            this._bitrev[i] = 0;
-            for (let u = 0; u < this._width; u += 2) {
-                const n = this._width - u - 2;
-                this._bitrev[i] |= ((i >>> u) & 3) << n;
-            }
-        }
-    }
-    createComplexArray() {
-        return new Float64Array(this._csize);
-    }
-    fromComplexArray(e, o) {
-        const i = o || new Array(e.length >>> 1);
-        for (let u = 0; u < e.length; u += 2) i[u >>> 1] = e[u];
-        return i;
-    }
-    toComplexArray(e, o) {
-        const i = o || this.createComplexArray();
-        for (let u = 0; u < i.length; u += 2) (i[u] = e[u >>> 1]), (i[u + 1] = 0);
-        return i;
-    }
-    completeSpectrum(e) {
-        const o = this._csize,
-            i = o >>> 1;
-        for (let u = 2; u < i; u += 2) (e[o - u] = e[u]), (e[o - u + 1] = -e[u + 1]);
-    }
-    transform(e, o) {
-        if (e === o) throw new Error('Input and output buffers must be different');
-        this._transform4(e, o, 1);
-    }
-    realTransform(e, o) {
-        if (e === o) throw new Error('Input and output buffers must be different');
-        this._realTransform4(e, o, 1);
-    }
-    inverseTransform(e, o) {
-        if (e === o) throw new Error('Input and output buffers must be different');
-        this._transform4(e, o, -1);
-        for (let i = 0; i < e.length; ++i) e[i] /= this.size;
-    }
-    _transform4(e, o, i) {
-        const u = this._csize;
-        let s = 1 << this._width,
-            d = (u / s) << 1,
-            f,
-            r;
-        const a = this._bitrev;
-        if (d === 4)
-            for (f = 0, r = 0; f < u; f += d, ++r) {
-                const l = a[r];
-                this._singleTransform2(o, e, f, l, s);
-            }
-        else
-            for (f = 0, r = 0; f < u; f += d, ++r) {
-                const l = a[r];
-                this._singleTransform4(o, e, f, l, s, i);
-            }
-        for (s >>= 2; s >= 2; s >>= 2) {
-            d = (u / s) << 1;
-            const l = d >>> 2;
-            for (f = 0; f < u; f += d) {
-                const p = f + l - 1;
-                for (let m = f, y = 0; m < p; m += 2, y += s) {
-                    const T = m,
-                        v = T + l,
-                        S = v + l,
-                        E = S + l,
-                        A = e[T],
-                        F = e[T + 1],
-                        B = e[v],
-                        J = e[v + 1],
-                        Q = e[S],
-                        re = e[S + 1],
-                        V = e[E],
-                        de = e[E + 1],
-                        ke = this.table[y],
-                        Ne = i * this.table[y + 1],
-                        Me = B * ke - J * Ne,
-                        Y = B * Ne + J * ke,
-                        _e = this.table[2 * y],
-                        he = i * this.table[2 * y + 1],
-                        ue = Q * _e - re * he,
-                        pe = Q * he + re * _e,
-                        X = this.table[3 * y],
-                        ve = i * this.table[3 * y + 1],
-                        we = V * X - de * ve,
-                        rt = V * ve + de * X,
-                        ot = A + ue,
-                        qe = F + pe,
-                        He = A - ue,
-                        Qe = F - pe,
-                        Be = Me + we,
-                        Ce = Y + rt,
-                        Se = i * (Me - we),
-                        je = i * (Y - rt);
-                    (e[T] = ot + Be),
-                        (e[T + 1] = qe + Ce),
-                        (e[v] = He + je),
-                        (e[v + 1] = Qe - Se),
-                        (e[S] = ot - Be),
-                        (e[S + 1] = qe - Ce),
-                        (e[E] = He - je),
-                        (e[E + 1] = Qe + Se);
-                }
-            }
-        }
-    }
-    _singleTransform2(e, o, i, u, n) {
-        const s = e[u],
-            d = e[u + 1],
-            f = e[u + n],
-            r = e[u + n + 1];
-        (o[i] = s + f), (o[i + 1] = d + r), (o[i + 2] = s - f), (o[i + 3] = d - r);
-    }
-    _singleTransform4(e, o, i, u, n, s) {
-        const d = n * 2,
-            f = n * 3,
-            r = e[u],
-            a = e[u + 1],
-            l = e[u + n],
-            p = e[u + n + 1],
-            m = e[u + d],
-            y = e[u + d + 1],
-            T = e[u + f],
-            v = e[u + f + 1],
-            S = r + m,
-            E = a + y,
-            A = r - m,
-            F = a - y,
-            B = l + T,
-            J = p + v,
-            Q = s * (l - T),
-            re = s * (p - v);
-        (o[i] = S + B),
-            (o[i + 1] = E + J),
-            (o[i + 2] = A + re),
-            (o[i + 3] = F - Q),
-            (o[i + 4] = S - B),
-            (o[i + 5] = E - J),
-            (o[i + 6] = A - re),
-            (o[i + 7] = F + Q);
-    }
-    _realTransform4(e, o, i) {
-        const u = this._csize;
-        let s = 1 << this._width,
-            d = (u / s) << 1,
-            f,
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-                const l = a[r];
-                this._singleRealTransform2(o, e, f, l >>> 1, s >>> 1);
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-            for (f = 0, r = 0; f < u; f += d, ++r) {
-                const l = a[r];
-                this._singleRealTransform4(o, e, f, l >>> 1, s >>> 1, i);
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-            d = (u / s) << 1;
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-                const p = f + l - 1;
-                for (let m = f, y = 0; m < p; m += 2, y += s) {
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-                        ue = Q * _e - re * he,
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-            (this._buffer2 = new Float64Array(u)),
-            (this._outBuffer1 = new Float64Array(u)),
-            (this._outBuffer2 = new Float64Array(u));
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-        for (let a = 0; a < i >> 1; ++a) {
-            const l = (a + 1 - e) ** 2 / 2,
-                p = Math.sqrt(f ** 2 + r ** 2) ** l,
-                m = l * Math.atan2(r, f),
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-            (this._f = new P2FFT(u >> 1)),
-            this._f.transform(this._chirpBuffer, s);
-    }
-    _transform(e, o, i) {
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-            r = this._slicedChirpBuffer,
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-            for (let l = 0; l < r.length; l += 2) {
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-                    y = o[m];
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-                        f = d ? '[rel="stylesheet"]' : '';
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-                            const p = n[l];
-                            if (p.href === s && (!d || p.rel === 'stylesheet')) return;
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-                        ((a.rel = d ? 'stylesheet' : scriptRel),
-                        d || ((a.as = 'script'), (a.crossOrigin = '')),
-                        (a.href = s),
-                        document.head.appendChild(a),
-                        d)
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-    Qa = L(() => {
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-            (o.width = t.dims[3]), (o.height = t.dims[2]);
-            let i = o.getContext('2d');
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-                let u, n;
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-                    ? ((u = t.dims[2]), (n = t.dims[3]))
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-                let s = e?.format !== void 0 ? e.format : 'RGB',
-                    d = e?.norm,
-                    f,
-                    r;
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-                        ? (r = [0, 0, 0, 0])
-                        : typeof d.bias == 'number'
-                        ? (r = [d.bias, d.bias, d.bias, d.bias])
-                        : ((r = [d.bias[0], d.bias[1], d.bias[2], 0]), d.bias[3] !== void 0 && (r[3] = d.bias[3]));
-                let a = n * u,
-                    l = 0,
-                    p = a,
-                    m = a * 2,
-                    y = -1;
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-                    ? ((l = 0), (p = a), (m = a * 2), (y = a * 3))
-                    : s === 'RGB'
-                    ? ((l = 0), (p = a), (m = a * 2))
-                    : s === 'RBG' && ((l = 0), (m = a), (p = a * 2));
-                for (let T = 0; T < n; T++)
-                    for (let v = 0; v < u; v++) {
-                        let S = (t.data[l++] - r[0]) * f[0],
-                            E = (t.data[p++] - r[1]) * f[1],
-                            A = (t.data[m++] - r[2]) * f[2],
-                            F = y === -1 ? 255 : (t.data[y++] - r[3]) * f[3];
-                        (i.fillStyle = 'rgba(' + S + ',' + E + ',' + A + ',' + F + ')'), i.fillRect(v, T, 1, 1);
-                    }
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-            } else throw new Error('Can not access image data');
-        }),
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-                    i;
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-                        (i.data[m] = (t.data[S++] - a[0]) * r[0]),
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-                            (i.data[T] = (t.data[A++] - a[2]) * r[2]),
-                            (i.data[v] = F === -1 ? 255 : (t.data[F++] - a[3]) * r[3]);
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-                    throw new Error('Image height and width must be defined');
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-                    n,
-                    s;
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-                        ? (s = [u.bias, u.bias, u.bias, u.bias])
-                        : (s = [u.bias[0], u.bias[1], u.bias[2], u.bias[3] ?? 0]);
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-                    f = e.tensorFormat !== void 0 && e.tensorFormat !== void 0 ? e.tensorFormat : 'RGB',
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-                        ? (A = r * 3)
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-                    (a[v++] = (t[p] + s[0]) / n[0]),
-                        (a[S++] = (t[m] + s[1]) / n[1]),
-                        (a[E++] = (t[y] + s[2]) / n[2]),
-                        A !== -1 && T !== -1 && (a[A++] = (t[T] + s[3]) / n[3]);
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-                        a instanceof HTMLCanvasElement || a instanceof OffscreenCanvas ? a.getContext('2d') : null;
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-                            (e !== void 0 &&
-                                e.resizedHeight !== void 0 &&
-                                e.resizedWidth !== void 0 &&
-                                ((p = e.resizedHeight), (m = e.resizedWidth)),
-                            e !== void 0)
-                        ) {
-                            if (((d = e), e.tensorFormat !== void 0))
-                                throw new Error('Image input config format must be RGBA for HTMLImageElement');
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-                        } else (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
-                        l.drawImage(t, 0, 0), (s = l.getImageData(0, 0, m, p).data);
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-                        (e !== void 0 && e.resizedWidth !== void 0 && e.resizedHeight !== void 0
-                            ? ((a = e.resizedHeight), (l = e.resizedWidth))
-                            : ((a = t.height), (l = t.width)),
-                        e !== void 0 && (d = e),
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-                        (d.height = a),
-                        (d.width = l),
-                        e !== void 0)
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-                    } else s = t.data;
-                } else if (u) {
-                    if (e === void 0) throw new Error('Please provide image config with format for Imagebitmap');
-                    let a = f();
-                    (a.width = t.width), (a.height = t.height);
-                    let l = r(a);
-                    if (l != null) {
-                        let p = t.height,
-                            m = t.width;
-                        return (
-                            l.drawImage(t, 0, 0, m, p),
-                            (s = l.getImageData(0, 0, m, p).data),
-                            (d.height = p),
-                            (d.width = m),
-                            qo(s, d)
-                        );
-                    } else throw new Error('Can not access image data');
-                } else {
-                    if (n)
-                        return new Promise((a, l) => {
-                            let p = f(),
-                                m = r(p);
-                            if (!t || !m) return l();
-                            let y = new Image();
-                            (y.crossOrigin = 'Anonymous'),
-                                (y.src = t),
-                                (y.onload = () => {
-                                    (p.width = y.width), (p.height = y.height), m.drawImage(y, 0, 0, p.width, p.height);
-                                    let T = m.getImageData(0, 0, p.width, p.height);
-                                    (d.height = p.height), (d.width = p.width), a(qo(T.data, d));
-                                });
-                        });
-                    throw new Error('Input data provided is not supported - aborted tensor creation');
-                }
-                if (s !== void 0) return qo(s, d);
-                throw new Error('Input data provided is not supported - aborted tensor creation');
-            }),
-            (ts = (t, e) => {
-                let { width: o, height: i, download: u, dispose: n } = e,
-                    s = [1, i, o, 4];
-                return new Ye({ location: 'texture', type: 'float32', texture: t, dims: s, download: u, dispose: n });
-            }),
-            (rs = (t, e) => {
-                let { dataType: o, dims: i, download: u, dispose: n } = e;
-                return new Ye({
-                    location: 'gpu-buffer',
-                    type: o ?? 'float32',
-                    gpuBuffer: t,
-                    dims: i,
-                    download: u,
-                    dispose: n,
-                });
-            }),
-            (ns = (t, e, o) => new Ye({ location: 'cpu-pinned', type: t, data: e, dims: o ?? [e.length] }));
-    }),
-    Qr,
-    Cn,
-    is,
-    as,
-    ss = L(() => {
-        (Qr = new Map([
-            ['float32', Float32Array],
-            ['uint8', Uint8Array],
-            ['int8', Int8Array],
-            ['uint16', Uint16Array],
-            ['float16', Uint16Array],
-            ['int16', Int16Array],
-            ['int32', Int32Array],
-            ['bool', Uint8Array],
-            ['float64', Float64Array],
-            ['uint32', Uint32Array],
-        ])),
-            (Cn = new Map([
-                [Float32Array, 'float32'],
-                [Uint8Array, 'uint8'],
-                [Int8Array, 'int8'],
-                [Uint16Array, 'uint16'],
-                [Int16Array, 'int16'],
-                [Int32Array, 'int32'],
-                [Float64Array, 'float64'],
-                [Uint32Array, 'uint32'],
-            ])),
-            (is = !1),
-            (as = () => {
-                if (!is) {
-                    is = !0;
-                    let t = typeof BigInt64Array < 'u' && typeof BigInt64Array.from == 'function',
-                        e = typeof BigUint64Array < 'u' && typeof BigUint64Array.from == 'function';
-                    t && (Qr.set('int64', BigInt64Array), Cn.set(BigInt64Array, 'int64')),
-                        e && (Qr.set('uint64', BigUint64Array), Cn.set(BigUint64Array, 'uint64'));
-                }
-            });
-    }),
-    us,
-    ls,
-    fs = L(() => {
-        $n(),
-            (us = (t) => {
-                let e = 1;
-                for (let o = 0; o < t.length; o++) {
-                    let i = t[o];
-                    if (typeof i != 'number' || !Number.isSafeInteger(i))
-                        throw new TypeError(`dims[${o}] must be an integer, got: ${i}`);
-                    if (i < 0) throw new RangeError(`dims[${o}] must be a non-negative integer, got: ${i}`);
-                    e *= i;
-                }
-                return e;
-            }),
-            (ls = (t, e) => {
-                switch (t.location) {
-                    case 'cpu':
-                        return new Ye(t.type, t.data, e);
-                    case 'cpu-pinned':
-                        return new Ye({ location: 'cpu-pinned', data: t.data, type: t.type, dims: e });
-                    case 'texture':
-                        return new Ye({ location: 'texture', texture: t.texture, type: t.type, dims: e });
-                    case 'gpu-buffer':
-                        return new Ye({ location: 'gpu-buffer', gpuBuffer: t.gpuBuffer, type: t.type, dims: e });
-                    default:
-                        throw new Error(`tensorReshape: tensor location ${t.location} is not supported`);
-                }
-            });
-    }),
-    Ye,
-    $n = L(() => {
-        Qa(),
-            os(),
-            ss(),
-            fs(),
-            (Ye = class {
-                constructor(t, e, o) {
-                    as();
-                    let i, u;
-                    if (typeof t == 'object' && 'location' in t)
-                        switch (((this.dataLocation = t.location), (i = t.type), (u = t.dims), t.location)) {
-                            case 'cpu-pinned': {
-                                let s = Qr.get(i);
-                                if (!s)
-                                    throw new TypeError(`unsupported type "${i}" to create tensor from pinned buffer`);
-                                if (!(t.data instanceof s)) throw new TypeError(`buffer should be of type ${s.name}`);
-                                this.cpuData = t.data;
-                                break;
-                            }
-                            case 'texture': {
-                                if (i !== 'float32')
-                                    throw new TypeError(`unsupported type "${i}" to create tensor from texture`);
-                                (this.gpuTextureData = t.texture),
-                                    (this.downloader = t.download),
-                                    (this.disposer = t.dispose);
-                                break;
-                            }
-                            case 'gpu-buffer': {
-                                if (
-                                    i !== 'float32' &&
-                                    i !== 'float16' &&
-                                    i !== 'int32' &&
-                                    i !== 'int64' &&
-                                    i !== 'uint32' &&
-                                    i !== 'bool'
-                                )
-                                    throw new TypeError(`unsupported type "${i}" to create tensor from gpu buffer`);
-                                (this.gpuBufferData = t.gpuBuffer),
-                                    (this.downloader = t.download),
-                                    (this.disposer = t.dispose);
-                                break;
-                            }
-                            default:
-                                throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`);
-                        }
-                    else {
-                        let s, d;
-                        if (typeof t == 'string')
-                            if (((i = t), (d = o), t === 'string')) {
-                                if (!Array.isArray(e))
-                                    throw new TypeError("A string tensor's data must be a string array.");
-                                s = e;
-                            } else {
-                                let f = Qr.get(t);
-                                if (f === void 0) throw new TypeError(`Unsupported tensor type: ${t}.`);
-                                if (Array.isArray(e)) {
-                                    if (t === 'float16')
-                                        throw new TypeError(
-                                            'Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.'
-                                        );
-                                    t === 'uint64' || t === 'int64' ? (s = f.from(e, BigInt)) : (s = f.from(e));
-                                } else if (e instanceof f) s = e;
-                                else throw new TypeError(`A ${i} tensor's data must be type of ${f}`);
-                            }
-                        else if (((d = e), Array.isArray(t))) {
-                            if (t.length === 0)
-                                throw new TypeError('Tensor type cannot be inferred from an empty array.');
-                            let f = typeof t[0];
-                            if (f === 'string') (i = 'string'), (s = t);
-                            else if (f === 'boolean') (i = 'bool'), (s = Uint8Array.from(t));
-                            else throw new TypeError(`Invalid element type of data array: ${f}.`);
-                        } else {
-                            let f = Cn.get(t.constructor);
-                            if (f === void 0)
-                                throw new TypeError(`Unsupported type for tensor data: ${t.constructor}.`);
-                            (i = f), (s = t);
-                        }
-                        if (d === void 0) d = [s.length];
-                        else if (!Array.isArray(d)) throw new TypeError("A tensor's dims must be a number array");
-                        (u = d), (this.cpuData = s), (this.dataLocation = 'cpu');
-                    }
-                    let n = us(u);
-                    if (this.cpuData && n !== this.cpuData.length)
-                        throw new Error(`Tensor's size(${n}) does not match data length(${this.cpuData.length}).`);
-                    (this.type = i), (this.dims = u), (this.size = n);
-                }
-                static async fromImage(t, e) {
-                    return es(t, e);
-                }
-                static fromTexture(t, e) {
-                    return ts(t, e);
-                }
-                static fromGpuBuffer(t, e) {
-                    return rs(t, e);
-                }
-                static fromPinnedBuffer(t, e, o) {
-                    return ns(t, e, o);
-                }
-                toDataURL(t) {
-                    return Ja(this, t);
-                }
-                toImageData(t) {
-                    return Za(this, t);
-                }
-                get data() {
-                    if ((this.ensureValid(), !this.cpuData))
-                        throw new Error(
-                            'The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.'
-                        );
-                    return this.cpuData;
-                }
-                get location() {
-                    return this.dataLocation;
-                }
-                get texture() {
-                    if ((this.ensureValid(), !this.gpuTextureData))
-                        throw new Error('The data is not stored as a WebGL texture.');
-                    return this.gpuTextureData;
-                }
-                get gpuBuffer() {
-                    if ((this.ensureValid(), !this.gpuBufferData))
-                        throw new Error('The data is not stored as a WebGPU buffer.');
-                    return this.gpuBufferData;
-                }
-                async getData(t) {
-                    switch ((this.ensureValid(), this.dataLocation)) {
-                        case 'cpu':
-                        case 'cpu-pinned':
-                            return this.data;
-                        case 'texture':
-                        case 'gpu-buffer': {
-                            if (!this.downloader)
-                                throw new Error('The current tensor is not created with a specified data downloader.');
-                            if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
-                            try {
-                                this.isDownloading = !0;
-                                let e = await this.downloader();
-                                return (
-                                    (this.downloader = void 0),
-                                    (this.dataLocation = 'cpu'),
-                                    (this.cpuData = e),
-                                    t && this.disposer && (this.disposer(), (this.disposer = void 0)),
-                                    e
-                                );
-                            } finally {
-                                this.isDownloading = !1;
-                            }
-                        }
-                        default:
-                            throw new Error(`cannot get data from location: ${this.dataLocation}`);
-                    }
-                }
-                dispose() {
-                    if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
-                    this.disposer && (this.disposer(), (this.disposer = void 0)),
-                        (this.cpuData = void 0),
-                        (this.gpuTextureData = void 0),
-                        (this.gpuBufferData = void 0),
-                        (this.downloader = void 0),
-                        (this.isDownloading = void 0),
-                        (this.dataLocation = 'none');
-                }
-                ensureValid() {
-                    if (this.dataLocation === 'none') throw new Error('The tensor is disposed.');
-                }
-                reshape(t) {
-                    if ((this.ensureValid(), this.downloader || this.disposer))
-                        throw new Error('Cannot reshape a tensor that owns GPU resource.');
-                    return ls(this, t);
-                }
-            });
-    }),
-    Re,
-    kn = L(() => {
-        $n(), (Re = Ye);
-    }),
-    cs,
-    ps,
-    ar,
-    sr,
-    jo = L(() => {
-        Ho(),
-            (cs = (t, e) => {
-                ir.wasm.trace && console.timeStamp(`${t}::ORT::${e}`);
-            }),
-            (ps = (t, e) => {
-                let o = new Error().stack?.split(/\r\n|\r|\n/g) || [],
-                    i = !1;
-                for (let u = 0; u < o.length; u++) {
-                    if (i && !o[u].includes('TRACE_FUNC')) {
-                        let n = `FUNC_${t}::${o[u].trim().split(' ')[1]}`;
-                        e && (n += `::${e}`), cs('CPU', n);
-                        return;
-                    }
-                    o[u].includes('TRACE_FUNC') && (i = !0);
-                }
-            }),
-            (ar = (t) => {
-                ir.wasm.trace && ps('BEGIN', t);
-            }),
-            (sr = (t) => {
-                ir.wasm.trace && ps('END', t);
-            });
-    }),
-    Bn,
-    ds = L(() => {
-        Fn(),
-            kn(),
-            jo(),
-            (Bn = class Rs {
-                constructor(e) {
-                    this.handler = e;
-                }
-                async run(e, o, i) {
-                    ar();
-                    let u = {},
-                        n = {};
-                    if (typeof e != 'object' || e === null || e instanceof Re || Array.isArray(e))
-                        throw new TypeError(
-                            "'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."
-                        );
-                    let s = !0;
-                    if (typeof o == 'object') {
-                        if (o === null) throw new TypeError('Unexpected argument[1]: cannot be null.');
-                        if (o instanceof Re) throw new TypeError("'fetches' cannot be a Tensor");
-                        if (Array.isArray(o)) {
-                            if (o.length === 0) throw new TypeError("'fetches' cannot be an empty array.");
-                            s = !1;
-                            for (let r of o) {
-                                if (typeof r != 'string')
-                                    throw new TypeError("'fetches' must be a string array or an object.");
-                                if (this.outputNames.indexOf(r) === -1)
-                                    throw new RangeError(`'fetches' contains invalid output name: ${r}.`);
-                                u[r] = null;
-                            }
-                            if (typeof i == 'object' && i !== null) n = i;
-                            else if (typeof i < 'u') throw new TypeError("'options' must be an object.");
-                        } else {
-                            let r = !1,
-                                a = Object.getOwnPropertyNames(o);
-                            for (let l of this.outputNames)
-                                if (a.indexOf(l) !== -1) {
-                                    let p = o[l];
-                                    (p === null || p instanceof Re) && ((r = !0), (s = !1), (u[l] = p));
-                                }
-                            if (r) {
-                                if (typeof i == 'object' && i !== null) n = i;
-                                else if (typeof i < 'u') throw new TypeError("'options' must be an object.");
-                            } else n = o;
-                        }
-                    } else if (typeof o < 'u')
-                        throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");
-                    for (let r of this.inputNames)
-                        if (typeof e[r] > 'u') throw new Error(`input '${r}' is missing in 'feeds'.`);
-                    if (s) for (let r of this.outputNames) u[r] = null;
-                    let d = await this.handler.run(e, u, n),
-                        f = {};
-                    for (let r in d)
-                        if (Object.hasOwnProperty.call(d, r)) {
-                            let a = d[r];
-                            a instanceof Re ? (f[r] = a) : (f[r] = new Re(a.type, a.data, a.dims));
-                        }
-                    return sr(), f;
-                }
-                async release() {
-                    return this.handler.dispose();
-                }
-                static async create(e, o, i, u) {
-                    ar();
-                    let n,
-                        s = {};
-                    if (typeof e == 'string') {
-                        if (((n = e), typeof o == 'object' && o !== null)) s = o;
-                        else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
-                    } else if (e instanceof Uint8Array) {
-                        if (((n = e), typeof o == 'object' && o !== null)) s = o;
-                        else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
-                    } else if (
-                        e instanceof ArrayBuffer ||
-                        (typeof SharedArrayBuffer < 'u' && e instanceof SharedArrayBuffer)
-                    ) {
-                        let r = e,
-                            a = 0,
-                            l = e.byteLength;
-                        if (typeof o == 'object' && o !== null) s = o;
-                        else if (typeof o == 'number') {
-                            if (((a = o), !Number.isSafeInteger(a)))
-                                throw new RangeError("'byteOffset' must be an integer.");
-                            if (a < 0 || a >= r.byteLength)
-                                throw new RangeError(`'byteOffset' is out of range [0, ${r.byteLength}).`);
-                            if (((l = e.byteLength - a), typeof i == 'number')) {
-                                if (((l = i), !Number.isSafeInteger(l)))
-                                    throw new RangeError("'byteLength' must be an integer.");
-                                if (l <= 0 || a + l > r.byteLength)
-                                    throw new RangeError(`'byteLength' is out of range (0, ${r.byteLength - a}].`);
-                                if (typeof u == 'object' && u !== null) s = u;
-                                else if (typeof u < 'u') throw new TypeError("'options' must be an object.");
-                            } else if (typeof i < 'u') throw new TypeError("'byteLength' must be a number.");
-                        } else if (typeof o < 'u') throw new TypeError("'options' must be an object.");
-                        n = new Uint8Array(r, a, l);
-                    } else throw new TypeError("Unexpected argument[0]: must be 'path' or 'buffer'.");
-                    let d = (s.executionProviders || []).map((r) => (typeof r == 'string' ? r : r.name)),
-                        f = await (await Ln(d)).createInferenceSessionHandler(n, s);
-                    return sr(), new Rs(f);
-                }
-                startProfiling() {
-                    this.handler.startProfiling();
-                }
-                endProfiling() {
-                    this.handler.endProfiling();
-                }
-                get inputNames() {
-                    return this.handler.inputNames;
-                }
-                get outputNames() {
-                    return this.handler.outputNames;
-                }
-            });
-    }),
-    Sd,
-    hs = L(() => {
-        ds(), (Sd = Bn);
-    }),
-    ms = L(() => {}),
-    Ad,
-    Nn,
-    bs = L(() => {
-        Fn(),
-            kn(),
-            (Ad =
-                "Training backend could not be resolved. Make sure you're using the correct configuration & WebAssembly files."),
-            (Nn = class Bs {
-                constructor(e, o, i) {
-                    (this.handler = e), (this.hasOptimizerModel = o), (this.hasEvalModel = i);
-                }
-                get trainingInputNames() {
-                    return this.handler.inputNames;
-                }
-                get trainingOutputNames() {
-                    return this.handler.outputNames;
-                }
-                get evalInputNames() {
-                    if (this.hasEvalModel) return this.handler.evalInputNames;
-                    throw new Error('This training session has no evalModel loaded.');
-                }
-                get evalOutputNames() {
-                    if (this.hasEvalModel) return this.handler.evalOutputNames;
-                    throw new Error('This training session has no evalModel loaded.');
-                }
-                static async create(e, o) {
-                    let i = e.evalModel || '',
-                        u = e.optimizerModel || '',
-                        n = o || {},
-                        s = (n.executionProviders || []).map((f) => (typeof f == 'string' ? f : f.name)),
-                        d = await Ln(s);
-                    if (d.createTrainingSessionHandler) {
-                        let f = await d.createTrainingSessionHandler(e.checkpointState, e.trainModel, i, u, n);
-                        return new Bs(f, !!e.optimizerModel, !!e.evalModel);
-                    } else throw new Error(Ad);
-                }
-                typeNarrowingForRunStep(e, o, i, u, n) {
-                    let s = {},
-                        d = {};
-                    if (typeof i != 'object' || i === null || i instanceof Re || Array.isArray(i))
-                        throw new TypeError(
-                            "'feeds' must be an object that use input names as keys and OnnxValue as corresponding values."
-                        );
-                    let f = !0;
-                    if (typeof u == 'object') {
-                        if (u === null) throw new TypeError('Unexpected argument[1]: cannot be null.');
-                        if (u instanceof Re) throw new TypeError("'fetches' cannot be a Tensor");
-                        if (Array.isArray(u)) {
-                            if (u.length === 0) throw new TypeError("'fetches' cannot be an empty array.");
-                            f = !1;
-                            for (let r of u) {
-                                if (typeof r != 'string')
-                                    throw new TypeError("'fetches' must be a string array or an object.");
-                                if (o.indexOf(r) === -1)
-                                    throw new RangeError(`'fetches' contains invalid output name: ${r}.`);
-                                s[r] = null;
-                            }
-                            if (typeof n == 'object' && n !== null) d = n;
-                            else if (typeof n < 'u') throw new TypeError("'options' must be an object.");
-                        } else {
-                            let r = !1,
-                                a = Object.getOwnPropertyNames(u);
-                            for (let l of o)
-                                if (a.indexOf(l) !== -1) {
-                                    let p = u[l];
-                                    (p === null || p instanceof Re) && ((r = !0), (f = !1), (s[l] = p));
-                                }
-                            if (r) {
-                                if (typeof n == 'object' && n !== null) d = n;
-                                else if (typeof n < 'u') throw new TypeError("'options' must be an object.");
-                            } else d = u;
-                        }
-                    } else if (typeof u < 'u')
-                        throw new TypeError("Unexpected argument[1]: must be 'fetches' or 'options'.");
-                    for (let r of e) if (typeof i[r] > 'u') throw new Error(`input '${r}' is missing in 'feeds'.`);
-                    if (f) for (let r of o) s[r] = null;
-                    return [s, d];
-                }
-                convertHandlerReturnTypeToMapOfTensors(e) {
-                    let o = {};
-                    for (let i in e)
-                        if (Object.hasOwnProperty.call(e, i)) {
-                            let u = e[i];
-                            u instanceof Re ? (o[i] = u) : (o[i] = new Re(u.type, u.data, u.dims));
-                        }
-                    return o;
-                }
-                async lazyResetGrad() {
-                    await this.handler.lazyResetGrad();
-                }
-                async runTrainStep(e, o, i) {
-                    let [u, n] = this.typeNarrowingForRunStep(
-                            this.trainingInputNames,
-                            this.trainingOutputNames,
-                            e,
-                            o,
-                            i
-                        ),
-                        s = await this.handler.runTrainStep(e, u, n);
-                    return this.convertHandlerReturnTypeToMapOfTensors(s);
-                }
-                async runOptimizerStep(e) {
-                    if (this.hasOptimizerModel) await this.handler.runOptimizerStep(e || {});
-                    else throw new Error('This TrainingSession has no OptimizerModel loaded.');
-                }
-                async runEvalStep(e, o, i) {
-                    if (this.hasEvalModel) {
-                        let [u, n] = this.typeNarrowingForRunStep(this.evalInputNames, this.evalOutputNames, e, o, i),
-                            s = await this.handler.runEvalStep(e, u, n);
-                        return this.convertHandlerReturnTypeToMapOfTensors(s);
-                    } else throw new Error('This TrainingSession has no EvalModel loaded.');
-                }
-                async getParametersSize(e = !0) {
-                    return this.handler.getParametersSize(e);
-                }
-                async loadParametersBuffer(e, o = !0) {
-                    let i = await this.getParametersSize(o);
-                    if (e.length !== 4 * i)
-                        throw new Error(
-                            'Size of the buffer passed into loadParametersBuffer must match the number of parameters in the model. Please use getParametersSize method to check.'
-                        );
-                    return this.handler.loadParametersBuffer(e, o);
-                }
-                async getContiguousParameters(e = !0) {
-                    return this.handler.getContiguousParameters(e);
-                }
-                async release() {
-                    return this.handler.dispose();
-                }
-            });
-    }),
-    Pd,
-    gs = L(() => {
-        bs(), (Pd = Nn);
-    }),
-    Yo = {};
-Pr(Yo, {
-    InferenceSession: () => Sd,
-    TRACE: () => cs,
-    TRACE_FUNC_BEGIN: () => ar,
-    TRACE_FUNC_END: () => sr,
-    Tensor: () => Re,
-    TrainingSession: () => Pd,
-    env: () => Z,
-    registerBackend: () => or,
-});
-var vt = L(() => {
-    qa(), Ka(), hs(), kn(), jo(), ms(), gs();
-});
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-                    switch (t) {
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-                            return '\x1B[34;40mv\x1B[0m';
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-                            return '\x1B[32mi\x1B[0m';
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-                            return '\x1B[30;43mw\x1B[0m';
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-                            minimalSeverity: a.minimalSeverity || l.minimalSeverity,
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-                    (this._started = !1),
-                        (this._flushPointer = 0),
-                        (this._started = !1),
-                        (this._maxNumberEvents = t === void 0 ? 1e4 : t),
-                        (this._flushBatchSize = e === void 0 ? 10 : e),
-                        (this._flushIntervalInMilliseconds = o === void 0 ? 5e3 : o);
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-                    return t === void 0
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-                        : new this(t.maxNumberEvents, t.flushBatchSize, t.flushIntervalInMilliseconds);
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-                            new Promise((d, f) => {
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-                                        u && (await u.end()), d(r);
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-                                    async (r) => {
-                                        u && (await u.end()), f(r);
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-                                        f(s);
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-                                        r(a);
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-                    return s;
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-            u = Number.parseInt(o[1], 10);
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-            }
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-                }),
-                (o.create = function () {
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-                }),
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-                    return new o('emptyguid');
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-                (o.parse = function (i) {
-                    return new o(i);
-                }),
-                (o.raw = function () {
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-                }),
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-                }),
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-                    return { value: this.value };
-                }),
-                (o.validator = new RegExp('^[a-z0-9]{8}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{4}-[a-z0-9]{12}$', 'i')),
-                (o.EMPTY = '00000000-0000-0000-0000-000000000000'),
-                o
-            );
-        })();
-        t.Guid = e;
-    });
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-    if (e) {
-        if (t < 0) return Ut;
-        if (t >= Ds) return $s;
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-        if (t <= -Ps) return tt;
-        if (t + 1 >= Ps) return Fs;
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-    return t < 0 ? ft(-t, e).neg() : le(t % Lr | 0, (t / Lr) | 0, e);
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-function le(t, e, o) {
-    return new be(t, e, o);
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-function Qo(t, e, o) {
-    if (t.length === 0) throw Error('empty string');
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-        (typeof e == 'number' ? ((o = e), (e = !1)) : (e = !!e),
-        t === 'NaN' || t === 'Infinity' || t === '+Infinity' || t === '-Infinity')
-    )
-        return e ? Ut : wt;
-    if (((o = o || 10), o < 2 || 36 < o)) throw RangeError('radix');
-    var i;
-    if ((i = t.indexOf('-')) > 0) throw Error('interior hyphen');
-    if (i === 0) return Qo(t.substring(1), e, o).neg();
-    for (var u = ft(Vn(o, 8)), n = wt, s = 0; s < t.length; s += 8) {
-        var d = Math.min(8, t.length - s),
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-        if (d < 8) {
-            var r = ft(Vn(o, d));
-            n = n.mul(r).add(ft(f));
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-    }
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-        ? ft(t, e)
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-                    for (; r.length < 6; ) r = '0' + r;
-                    s = '' + r + s;
-                }
-            }),
-            ($.getHighBits = function () {
-                return this.high;
-            }),
-            ($.getHighBitsUnsigned = function () {
-                return this.high >>> 0;
-            }),
-            ($.getLowBits = function () {
-                return this.low;
-            }),
-            ($.getLowBitsUnsigned = function () {
-                return this.low >>> 0;
-            }),
-            ($.getNumBitsAbs = function () {
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-            }),
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-                return this.unsigned || this.high >= 0;
-            }),
-            ($.isOdd = function () {
-                return (this.low & 1) === 1;
-            }),
-            ($.isEven = function () {
-                return (this.low & 1) === 0;
-            }),
-            ($.equals = function (t) {
-                return (
-                    We(t) || (t = _t(t)),
-                    this.unsigned !== t.unsigned && this.high >>> 31 === 1 && t.high >>> 31 === 1
-                        ? !1
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-                );
-            }),
-            ($.eq = $.equals),
-            ($.notEquals = function (t) {
-                return !this.eq(t);
-            }),
-            ($.neq = $.notEquals),
-            ($.ne = $.notEquals),
-            ($.lessThan = function (t) {
-                return this.comp(t) < 0;
-            }),
-            ($.lt = $.lessThan),
-            ($.lessThanOrEqual = function (t) {
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-            }),
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-            ($.greaterThan = function (t) {
-                return this.comp(t) > 0;
-            }),
-            ($.gt = $.greaterThan),
-            ($.greaterThanOrEqual = function (t) {
-                return this.comp(t) >= 0;
-            }),
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-            ($.ge = $.greaterThanOrEqual),
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-            }),
-            ($.comp = $.compare),
-            ($.negate = function () {
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-            }),
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-            ($.add = function (t) {
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-                    i = this.low >>> 16,
-                    u = this.low & 65535,
-                    n = t.high >>> 16,
-                    s = t.high & 65535,
-                    d = t.low >>> 16,
-                    f = t.low & 65535,
-                    r = 0,
-                    a = 0,
-                    l = 0,
-                    p = 0;
-                return (
-                    (p += u + f),
-                    (l += p >>> 16),
-                    (p &= 65535),
-                    (l += i + d),
-                    (a += l >>> 16),
-                    (l &= 65535),
-                    (a += o + s),
-                    (r += a >>> 16),
-                    (a &= 65535),
-                    (r += e + n),
-                    (r &= 65535),
-                    le((l << 16) | p, (r << 16) | a, this.unsigned)
-                );
-            }),
-            ($.subtract = function (t) {
-                return We(t) || (t = _t(t)), this.add(t.neg());
-            }),
-            ($.sub = $.subtract),
-            ($.multiply = function (t) {
-                if (this.isZero()) return this;
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-                    var e = lt.mul(this.low, this.high, t.low, t.high);
-                    return le(e, lt.get_high(), this.unsigned);
-                }
-                if (t.isZero()) return this.unsigned ? Ut : wt;
-                if (this.eq(tt)) return t.isOdd() ? tt : wt;
-                if (t.eq(tt)) return this.isOdd() ? tt : wt;
-                if (this.isNegative()) return t.isNegative() ? this.neg().mul(t.neg()) : this.neg().mul(t).neg();
-                if (t.isNegative()) return this.mul(t.neg()).neg();
-                if (this.lt(Es) && t.lt(Es)) return ft(this.toNumber() * t.toNumber(), this.unsigned);
-                var o = this.high >>> 16,
-                    i = this.high & 65535,
-                    u = this.low >>> 16,
-                    n = this.low & 65535,
-                    s = t.high >>> 16,
-                    d = t.high & 65535,
-                    f = t.low >>> 16,
-                    r = t.low & 65535,
-                    a = 0,
-                    l = 0,
-                    p = 0,
-                    m = 0;
-                return (
-                    (m += n * r),
-                    (p += m >>> 16),
-                    (m &= 65535),
-                    (p += u * r),
-                    (l += p >>> 16),
-                    (p &= 65535),
-                    (p += n * f),
-                    (l += p >>> 16),
-                    (p &= 65535),
-                    (l += i * r),
-                    (a += l >>> 16),
-                    (l &= 65535),
-                    (l += u * f),
-                    (a += l >>> 16),
-                    (l &= 65535),
-                    (l += n * d),
-                    (a += l >>> 16),
-                    (l &= 65535),
-                    (a += o * r + i * f + u * d + n * s),
-                    (a &= 65535),
-                    le((p << 16) | m, (a << 16) | l, this.unsigned)
-                );
-            }),
-            ($.mul = $.multiply),
-            ($.divide = function (t) {
-                if ((We(t) || (t = _t(t)), t.isZero())) throw Error('division by zero');
-                if (lt) {
-                    if (!this.unsigned && this.high === -2147483648 && t.low === -1 && t.high === -1) return this;
-                    var e = (this.unsigned ? lt.div_u : lt.div_s)(this.low, this.high, t.low, t.high);
-                    return le(e, lt.get_high(), this.unsigned);
-                }
-                if (this.isZero()) return this.unsigned ? Ut : wt;
-                var o, i, u;
-                if (this.unsigned) {
-                    if ((t.unsigned || (t = t.toUnsigned()), t.gt(this))) return Ut;
-                    if (t.gt(this.shru(1))) return Ls;
-                    u = Ut;
-                } else {
-                    if (this.eq(tt)) {
-                        if (t.eq(Dr) || t.eq(Zo)) return tt;
-                        if (t.eq(tt)) return Dr;
-                        var n = this.shr(1);
-                        return (
-                            (o = n.div(t).shl(1)),
-                            o.eq(wt) ? (t.isNegative() ? Dr : Zo) : ((i = this.sub(t.mul(o))), (u = o.add(i.div(t))), u)
-                        );
-                    } else if (t.eq(tt)) return this.unsigned ? Ut : wt;
-                    if (this.isNegative()) return t.isNegative() ? this.neg().div(t.neg()) : this.neg().div(t).neg();
-                    if (t.isNegative()) return this.div(t.neg()).neg();
-                    u = wt;
-                }
-                for (i = this; i.gte(t); ) {
-                    o = Math.max(1, Math.floor(i.toNumber() / t.toNumber()));
-                    for (
-                        var s = Math.ceil(Math.log(o) / Math.LN2),
-                            d = s <= 48 ? 1 : Vn(2, s - 48),
-                            f = ft(o),
-                            r = f.mul(t);
-                        r.isNegative() || r.gt(i);
-
-                    )
-                        (o -= d), (f = ft(o, this.unsigned)), (r = f.mul(t));
-                    f.isZero() && (f = Dr), (u = u.add(f)), (i = i.sub(r));
-                }
-                return u;
-            }),
-            ($.div = $.divide),
-            ($.modulo = function (t) {
-                if ((We(t) || (t = _t(t)), lt)) {
-                    var e = (this.unsigned ? lt.rem_u : lt.rem_s)(this.low, this.high, t.low, t.high);
-                    return le(e, lt.get_high(), this.unsigned);
-                }
-                return this.sub(this.div(t).mul(t));
-            }),
-            ($.mod = $.modulo),
-            ($.rem = $.modulo),
-            ($.not = function () {
-                return le(~this.low, ~this.high, this.unsigned);
-            }),
-            ($.countLeadingZeros = function () {
-                return this.high ? Math.clz32(this.high) : Math.clz32(this.low) + 32;
-            }),
-            ($.clz = $.countLeadingZeros),
-            ($.countTrailingZeros = function () {
-                return this.low ? Os(this.low) : Os(this.high) + 32;
-            }),
-            ($.ctz = $.countTrailingZeros),
-            ($.and = function (t) {
-                return We(t) || (t = _t(t)), le(this.low & t.low, this.high & t.high, this.unsigned);
-            }),
-            ($.or = function (t) {
-                return We(t) || (t = _t(t)), le(this.low | t.low, this.high | t.high, this.unsigned);
-            }),
-            ($.xor = function (t) {
-                return We(t) || (t = _t(t)), le(this.low ^ t.low, this.high ^ t.high, this.unsigned);
-            }),
-            ($.shiftLeft = function (t) {
-                return (
-                    We(t) && (t = t.toInt()),
-                    (t &= 63) === 0
-                        ? this
-                        : t < 32
-                        ? le(this.low << t, (this.high << t) | (this.low >>> (32 - t)), this.unsigned)
-                        : le(0, this.low << (t - 32), this.unsigned)
-                );
-            }),
-            ($.shl = $.shiftLeft),
-            ($.shiftRight = function (t) {
-                return (
-                    We(t) && (t = t.toInt()),
-                    (t &= 63) === 0
-                        ? this
-                        : t < 32
-                        ? le((this.low >>> t) | (this.high << (32 - t)), this.high >> t, this.unsigned)
-                        : le(this.high >> (t - 32), this.high >= 0 ? 0 : -1, this.unsigned)
-                );
-            }),
-            ($.shr = $.shiftRight),
-            ($.shiftRightUnsigned = function (t) {
-                return (
-                    We(t) && (t = t.toInt()),
-                    (t &= 63) === 0
-                        ? this
-                        : t < 32
-                        ? le((this.low >>> t) | (this.high << (32 - t)), this.high >>> t, this.unsigned)
-                        : t === 32
-                        ? le(this.high, 0, this.unsigned)
-                        : le(this.high >>> (t - 32), 0, this.unsigned)
-                );
-            }),
-            ($.shru = $.shiftRightUnsigned),
-            ($.shr_u = $.shiftRightUnsigned),
-            ($.rotateLeft = function (t) {
-                var e;
-                return (
-                    We(t) && (t = t.toInt()),
-                    (t &= 63) === 0
-                        ? this
-                        : t === 32
-                        ? le(this.high, this.low, this.unsigned)
-                        : t < 32
-                        ? ((e = 32 - t),
-                          le((this.low << t) | (this.high >>> e), (this.high << t) | (this.low >>> e), this.unsigned))
-                        : ((t -= 32),
-                          (e = 32 - t),
-                          le((this.high << t) | (this.low >>> e), (this.low << t) | (this.high >>> e), this.unsigned))
-                );
-            }),
-            ($.rotl = $.rotateLeft),
-            ($.rotateRight = function (t) {
-                var e;
-                return (
-                    We(t) && (t = t.toInt()),
-                    (t &= 63) === 0
-                        ? this
-                        : t === 32
-                        ? le(this.high, this.low, this.unsigned)
-                        : t < 32
-                        ? ((e = 32 - t),
-                          le((this.high << e) | (this.low >>> t), (this.low << e) | (this.high >>> t), this.unsigned))
-                        : ((t -= 32),
-                          (e = 32 - t),
-                          le((this.low << e) | (this.high >>> t), (this.high << e) | (this.low >>> t), this.unsigned))
-                );
-            }),
-            ($.rotr = $.rotateRight),
-            ($.toSigned = function () {
-                return this.unsigned ? le(this.low, this.high, !1) : this;
-            }),
-            ($.toUnsigned = function () {
-                return this.unsigned ? this : le(this.low, this.high, !0);
-            }),
-            ($.toBytes = function (t) {
-                return t ? this.toBytesLE() : this.toBytesBE();
-            }),
-            ($.toBytesLE = function () {
-                var t = this.high,
-                    e = this.low;
-                return [
-                    e & 255,
-                    (e >>> 8) & 255,
-                    (e >>> 16) & 255,
-                    e >>> 24,
-                    t & 255,
-                    (t >>> 8) & 255,
-                    (t >>> 16) & 255,
-                    t >>> 24,
-                ];
-            }),
-            ($.toBytesBE = function () {
-                var t = this.high,
-                    e = this.low;
-                return [
-                    t >>> 24,
-                    (t >>> 16) & 255,
-                    (t >>> 8) & 255,
-                    t & 255,
-                    e >>> 24,
-                    (e >>> 16) & 255,
-                    (e >>> 8) & 255,
-                    e & 255,
-                ];
-            }),
-            (be.fromBytes = function (t, e, o) {
-                return o ? be.fromBytesLE(t, e) : be.fromBytesBE(t, e);
-            }),
-            (be.fromBytesLE = function (t, e) {
-                return new be(
-                    t[0] | (t[1] << 8) | (t[2] << 16) | (t[3] << 24),
-                    t[4] | (t[5] << 8) | (t[6] << 16) | (t[7] << 24),
-                    e
-                );
-            }),
-            (be.fromBytesBE = function (t, e) {
-                return new be(
-                    (t[4] << 24) | (t[5] << 16) | (t[6] << 8) | t[7],
-                    (t[0] << 24) | (t[1] << 16) | (t[2] << 8) | t[3],
-                    e
-                );
-            }),
-            (zt = be);
-    }),
-    _,
-    Wn = L(() => {
-        (_ = {}),
-            _.Offset,
-            _.Table,
-            (_.SIZEOF_SHORT = 2),
-            (_.SIZEOF_INT = 4),
-            (_.FILE_IDENTIFIER_LENGTH = 4),
-            (_.SIZE_PREFIX_LENGTH = 4),
-            (_.Encoding = { UTF8_BYTES: 1, UTF16_STRING: 2 }),
-            (_.int32 = new Int32Array(2)),
-            (_.float32 = new Float32Array(_.int32.buffer)),
-            (_.float64 = new Float64Array(_.int32.buffer)),
-            (_.isLittleEndian = new Uint16Array(new Uint8Array([1, 0]).buffer)[0] === 1),
-            (_.Long = function (t, e) {
-                (this.low = t | 0), (this.high = e | 0);
-            }),
-            (_.Long.create = function (t, e) {
-                return t == 0 && e == 0 ? _.Long.ZERO : new _.Long(t, e);
-            }),
-            (_.Long.prototype.toFloat64 = function () {
-                return (this.low >>> 0) + this.high * 4294967296;
-            }),
-            (_.Long.prototype.equals = function (t) {
-                return this.low == t.low && this.high == t.high;
-            }),
-            (_.Long.ZERO = new _.Long(0, 0)),
-            (_.Builder = function (t) {
-                if (t) var e = t;
-                else var e = 1024;
-                (this.bb = _.ByteBuffer.allocate(e)),
-                    (this.space = e),
-                    (this.minalign = 1),
-                    (this.vtable = null),
-                    (this.vtable_in_use = 0),
-                    (this.isNested = !1),
-                    (this.object_start = 0),
-                    (this.vtables = []),
-                    (this.vector_num_elems = 0),
-                    (this.force_defaults = !1);
-            }),
-            (_.Builder.prototype.clear = function () {
-                this.bb.clear(),
-                    (this.space = this.bb.capacity()),
-                    (this.minalign = 1),
-                    (this.vtable = null),
-                    (this.vtable_in_use = 0),
-                    (this.isNested = !1),
-                    (this.object_start = 0),
-                    (this.vtables = []),
-                    (this.vector_num_elems = 0),
-                    (this.force_defaults = !1);
-            }),
-            (_.Builder.prototype.forceDefaults = function (t) {
-                this.force_defaults = t;
-            }),
-            (_.Builder.prototype.dataBuffer = function () {
-                return this.bb;
-            }),
-            (_.Builder.prototype.asUint8Array = function () {
-                return this.bb.bytes().subarray(this.bb.position(), this.bb.position() + this.offset());
-            }),
-            (_.Builder.prototype.prep = function (t, e) {
-                t > this.minalign && (this.minalign = t);
-                for (var o = (~(this.bb.capacity() - this.space + e) + 1) & (t - 1); this.space < o + t + e; ) {
-                    var i = this.bb.capacity();
-                    (this.bb = _.Builder.growByteBuffer(this.bb)), (this.space += this.bb.capacity() - i);
-                }
-                this.pad(o);
-            }),
-            (_.Builder.prototype.pad = function (t) {
-                for (var e = 0; e < t; e++) this.bb.writeInt8(--this.space, 0);
-            }),
-            (_.Builder.prototype.writeInt8 = function (t) {
-                this.bb.writeInt8((this.space -= 1), t);
-            }),
-            (_.Builder.prototype.writeInt16 = function (t) {
-                this.bb.writeInt16((this.space -= 2), t);
-            }),
-            (_.Builder.prototype.writeInt32 = function (t) {
-                this.bb.writeInt32((this.space -= 4), t);
-            }),
-            (_.Builder.prototype.writeInt64 = function (t) {
-                this.bb.writeInt64((this.space -= 8), t);
-            }),
-            (_.Builder.prototype.writeFloat32 = function (t) {
-                this.bb.writeFloat32((this.space -= 4), t);
-            }),
-            (_.Builder.prototype.writeFloat64 = function (t) {
-                this.bb.writeFloat64((this.space -= 8), t);
-            }),
-            (_.Builder.prototype.addInt8 = function (t) {
-                this.prep(1, 0), this.writeInt8(t);
-            }),
-            (_.Builder.prototype.addInt16 = function (t) {
-                this.prep(2, 0), this.writeInt16(t);
-            }),
-            (_.Builder.prototype.addInt32 = function (t) {
-                this.prep(4, 0), this.writeInt32(t);
-            }),
-            (_.Builder.prototype.addInt64 = function (t) {
-                this.prep(8, 0), this.writeInt64(t);
-            }),
-            (_.Builder.prototype.addFloat32 = function (t) {
-                this.prep(4, 0), this.writeFloat32(t);
-            }),
-            (_.Builder.prototype.addFloat64 = function (t) {
-                this.prep(8, 0), this.writeFloat64(t);
-            }),
-            (_.Builder.prototype.addFieldInt8 = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addInt8(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldInt16 = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addInt16(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldInt32 = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addInt32(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldInt64 = function (t, e, o) {
-                (this.force_defaults || !e.equals(o)) && (this.addInt64(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldFloat32 = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addFloat32(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldFloat64 = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addFloat64(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldOffset = function (t, e, o) {
-                (this.force_defaults || e != o) && (this.addOffset(e), this.slot(t));
-            }),
-            (_.Builder.prototype.addFieldStruct = function (t, e, o) {
-                e != o && (this.nested(e), this.slot(t));
-            }),
-            (_.Builder.prototype.nested = function (t) {
-                if (t != this.offset()) throw new Error('FlatBuffers: struct must be serialized inline.');
-            }),
-            (_.Builder.prototype.notNested = function () {
-                if (this.isNested) throw new Error('FlatBuffers: object serialization must not be nested.');
-            }),
-            (_.Builder.prototype.slot = function (t) {
-                this.vtable[t] = this.offset();
-            }),
-            (_.Builder.prototype.offset = function () {
-                return this.bb.capacity() - this.space;
-            }),
-            (_.Builder.growByteBuffer = function (t) {
-                var e = t.capacity();
-                if (e & 3221225472) throw new Error('FlatBuffers: cannot grow buffer beyond 2 gigabytes.');
-                var o = e << 1,
-                    i = _.ByteBuffer.allocate(o);
-                return i.setPosition(o - e), i.bytes().set(t.bytes(), o - e), i;
-            }),
-            (_.Builder.prototype.addOffset = function (t) {
-                this.prep(_.SIZEOF_INT, 0), this.writeInt32(this.offset() - t + _.SIZEOF_INT);
-            }),
-            (_.Builder.prototype.startObject = function (t) {
-                this.notNested(), this.vtable == null && (this.vtable = []), (this.vtable_in_use = t);
-                for (var e = 0; e < t; e++) this.vtable[e] = 0;
-                (this.isNested = !0), (this.object_start = this.offset());
-            }),
-            (_.Builder.prototype.endObject = function () {
-                if (this.vtable == null || !this.isNested)
-                    throw new Error('FlatBuffers: endObject called without startObject');
-                this.addInt32(0);
-                for (var t = this.offset(), e = this.vtable_in_use - 1; e >= 0 && this.vtable[e] == 0; e--);
-                for (var o = e + 1; e >= 0; e--) this.addInt16(this.vtable[e] != 0 ? t - this.vtable[e] : 0);
-                var i = 2;
-                this.addInt16(t - this.object_start);
-                var u = (o + i) * _.SIZEOF_SHORT;
-                this.addInt16(u);
-                var n = 0,
-                    s = this.space;
-                e: for (e = 0; e < this.vtables.length; e++) {
-                    var d = this.bb.capacity() - this.vtables[e];
-                    if (u == this.bb.readInt16(d)) {
-                        for (var f = _.SIZEOF_SHORT; f < u; f += _.SIZEOF_SHORT)
-                            if (this.bb.readInt16(s + f) != this.bb.readInt16(d + f)) continue e;
-                        n = this.vtables[e];
-                        break;
-                    }
-                }
-                return (
-                    n
-                        ? ((this.space = this.bb.capacity() - t), this.bb.writeInt32(this.space, n - t))
-                        : (this.vtables.push(this.offset()),
-                          this.bb.writeInt32(this.bb.capacity() - t, this.offset() - t)),
-                    (this.isNested = !1),
-                    t
-                );
-            }),
-            (_.Builder.prototype.finish = function (t, e, o) {
-                var i = o ? _.SIZE_PREFIX_LENGTH : 0;
-                if (e) {
-                    var u = e;
-                    if (
-                        (this.prep(this.minalign, _.SIZEOF_INT + _.FILE_IDENTIFIER_LENGTH + i),
-                        u.length != _.FILE_IDENTIFIER_LENGTH)
-                    )
-                        throw new Error('FlatBuffers: file identifier must be length ' + _.FILE_IDENTIFIER_LENGTH);
-                    for (var n = _.FILE_IDENTIFIER_LENGTH - 1; n >= 0; n--) this.writeInt8(u.charCodeAt(n));
-                }
-                this.prep(this.minalign, _.SIZEOF_INT + i),
-                    this.addOffset(t),
-                    i && this.addInt32(this.bb.capacity() - this.space),
-                    this.bb.setPosition(this.space);
-            }),
-            (_.Builder.prototype.finishSizePrefixed = function (t, e) {
-                this.finish(t, e, !0);
-            }),
-            (_.Builder.prototype.requiredField = function (t, e) {
-                var o = this.bb.capacity() - t,
-                    i = o - this.bb.readInt32(o),
-                    u = this.bb.readInt16(i + e) != 0;
-                if (!u) throw new Error('FlatBuffers: field ' + e + ' must be set');
-            }),
-            (_.Builder.prototype.startVector = function (t, e, o) {
-                this.notNested(), (this.vector_num_elems = e), this.prep(_.SIZEOF_INT, t * e), this.prep(o, t * e);
-            }),
-            (_.Builder.prototype.endVector = function () {
-                return this.writeInt32(this.vector_num_elems), this.offset();
-            }),
-            (_.Builder.prototype.createString = function (t) {
-                if (t instanceof Uint8Array) var e = t;
-                else
-                    for (var e = [], o = 0; o < t.length; ) {
-                        var i,
-                            u = t.charCodeAt(o++);
-                        if (u < 55296 || u >= 56320) i = u;
-                        else {
-                            var n = t.charCodeAt(o++);
-                            i = (u << 10) + n + -56613888;
-                        }
-                        i < 128
-                            ? e.push(i)
-                            : (i < 2048
-                                  ? e.push(((i >> 6) & 31) | 192)
-                                  : (i < 65536
-                                        ? e.push(((i >> 12) & 15) | 224)
-                                        : e.push(((i >> 18) & 7) | 240, ((i >> 12) & 63) | 128),
-                                    e.push(((i >> 6) & 63) | 128)),
-                              e.push((i & 63) | 128));
-                    }
-                this.addInt8(0), this.startVector(1, e.length, 1), this.bb.setPosition((this.space -= e.length));
-                for (var o = 0, s = this.space, d = this.bb.bytes(); o < e.length; o++) d[s++] = e[o];
-                return this.endVector();
-            }),
-            (_.Builder.prototype.createLong = function (t, e) {
-                return _.Long.create(t, e);
-            }),
-            (_.ByteBuffer = function (t) {
-                (this.bytes_ = t), (this.position_ = 0);
-            }),
-            (_.ByteBuffer.allocate = function (t) {
-                return new _.ByteBuffer(new Uint8Array(t));
-            }),
-            (_.ByteBuffer.prototype.clear = function () {
-                this.position_ = 0;
-            }),
-            (_.ByteBuffer.prototype.bytes = function () {
-                return this.bytes_;
-            }),
-            (_.ByteBuffer.prototype.position = function () {
-                return this.position_;
-            }),
-            (_.ByteBuffer.prototype.setPosition = function (t) {
-                this.position_ = t;
-            }),
-            (_.ByteBuffer.prototype.capacity = function () {
-                return this.bytes_.length;
-            }),
-            (_.ByteBuffer.prototype.readInt8 = function (t) {
-                return (this.readUint8(t) << 24) >> 24;
-            }),
-            (_.ByteBuffer.prototype.readUint8 = function (t) {
-                return this.bytes_[t];
-            }),
-            (_.ByteBuffer.prototype.readInt16 = function (t) {
-                return (this.readUint16(t) << 16) >> 16;
-            }),
-            (_.ByteBuffer.prototype.readUint16 = function (t) {
-                return this.bytes_[t] | (this.bytes_[t + 1] << 8);
-            }),
-            (_.ByteBuffer.prototype.readInt32 = function (t) {
-                return (
-                    this.bytes_[t] | (this.bytes_[t + 1] << 8) | (this.bytes_[t + 2] << 16) | (this.bytes_[t + 3] << 24)
-                );
-            }),
-            (_.ByteBuffer.prototype.readUint32 = function (t) {
-                return this.readInt32(t) >>> 0;
-            }),
-            (_.ByteBuffer.prototype.readInt64 = function (t) {
-                return new _.Long(this.readInt32(t), this.readInt32(t + 4));
-            }),
-            (_.ByteBuffer.prototype.readUint64 = function (t) {
-                return new _.Long(this.readUint32(t), this.readUint32(t + 4));
-            }),
-            (_.ByteBuffer.prototype.readFloat32 = function (t) {
-                return (_.int32[0] = this.readInt32(t)), _.float32[0];
-            }),
-            (_.ByteBuffer.prototype.readFloat64 = function (t) {
-                return (
-                    (_.int32[_.isLittleEndian ? 0 : 1] = this.readInt32(t)),
-                    (_.int32[_.isLittleEndian ? 1 : 0] = this.readInt32(t + 4)),
-                    _.float64[0]
-                );
-            }),
-            (_.ByteBuffer.prototype.writeInt8 = function (t, e) {
-                this.bytes_[t] = e;
-            }),
-            (_.ByteBuffer.prototype.writeUint8 = function (t, e) {
-                this.bytes_[t] = e;
-            }),
-            (_.ByteBuffer.prototype.writeInt16 = function (t, e) {
-                (this.bytes_[t] = e), (this.bytes_[t + 1] = e >> 8);
-            }),
-            (_.ByteBuffer.prototype.writeUint16 = function (t, e) {
-                (this.bytes_[t] = e), (this.bytes_[t + 1] = e >> 8);
-            }),
-            (_.ByteBuffer.prototype.writeInt32 = function (t, e) {
-                (this.bytes_[t] = e),
-                    (this.bytes_[t + 1] = e >> 8),
-                    (this.bytes_[t + 2] = e >> 16),
-                    (this.bytes_[t + 3] = e >> 24);
-            }),
-            (_.ByteBuffer.prototype.writeUint32 = function (t, e) {
-                (this.bytes_[t] = e),
-                    (this.bytes_[t + 1] = e >> 8),
-                    (this.bytes_[t + 2] = e >> 16),
-                    (this.bytes_[t + 3] = e >> 24);
-            }),
-            (_.ByteBuffer.prototype.writeInt64 = function (t, e) {
-                this.writeInt32(t, e.low), this.writeInt32(t + 4, e.high);
-            }),
-            (_.ByteBuffer.prototype.writeUint64 = function (t, e) {
-                this.writeUint32(t, e.low), this.writeUint32(t + 4, e.high);
-            }),
-            (_.ByteBuffer.prototype.writeFloat32 = function (t, e) {
-                (_.float32[0] = e), this.writeInt32(t, _.int32[0]);
-            }),
-            (_.ByteBuffer.prototype.writeFloat64 = function (t, e) {
-                (_.float64[0] = e),
-                    this.writeInt32(t, _.int32[_.isLittleEndian ? 0 : 1]),
-                    this.writeInt32(t + 4, _.int32[_.isLittleEndian ? 1 : 0]);
-            }),
-            (_.ByteBuffer.prototype.getBufferIdentifier = function () {
-                if (this.bytes_.length < this.position_ + _.SIZEOF_INT + _.FILE_IDENTIFIER_LENGTH)
-                    throw new Error('FlatBuffers: ByteBuffer is too short to contain an identifier.');
-                for (var t = '', e = 0; e < _.FILE_IDENTIFIER_LENGTH; e++)
-                    t += String.fromCharCode(this.readInt8(this.position_ + _.SIZEOF_INT + e));
-                return t;
-            }),
-            (_.ByteBuffer.prototype.__offset = function (t, e) {
-                var o = t - this.readInt32(t);
-                return e < this.readInt16(o) ? this.readInt16(o + e) : 0;
-            }),
-            (_.ByteBuffer.prototype.__union = function (t, e) {
-                return (t.bb_pos = e + this.readInt32(e)), (t.bb = this), t;
-            }),
-            (_.ByteBuffer.prototype.__string = function (t, e) {
-                t += this.readInt32(t);
-                var o = this.readInt32(t),
-                    i = '',
-                    u = 0;
-                if (((t += _.SIZEOF_INT), e === _.Encoding.UTF8_BYTES)) return this.bytes_.subarray(t, t + o);
-                for (; u < o; ) {
-                    var n,
-                        s = this.readUint8(t + u++);
-                    if (s < 192) n = s;
-                    else {
-                        var d = this.readUint8(t + u++);
-                        if (s < 224) n = ((s & 31) << 6) | (d & 63);
-                        else {
-                            var f = this.readUint8(t + u++);
-                            if (s < 240) n = ((s & 15) << 12) | ((d & 63) << 6) | (f & 63);
-                            else {
-                                var r = this.readUint8(t + u++);
-                                n = ((s & 7) << 18) | ((d & 63) << 12) | ((f & 63) << 6) | (r & 63);
-                            }
-                        }
-                    }
-                    n < 65536
-                        ? (i += String.fromCharCode(n))
-                        : ((n -= 65536), (i += String.fromCharCode((n >> 10) + 55296, (n & 1023) + 56320)));
-                }
-                return i;
-            }),
-            (_.ByteBuffer.prototype.__indirect = function (t) {
-                return t + this.readInt32(t);
-            }),
-            (_.ByteBuffer.prototype.__vector = function (t) {
-                return t + this.readInt32(t) + _.SIZEOF_INT;
-            }),
-            (_.ByteBuffer.prototype.__vector_len = function (t) {
-                return this.readInt32(t + this.readInt32(t));
-            }),
-            (_.ByteBuffer.prototype.__has_identifier = function (t) {
-                if (t.length != _.FILE_IDENTIFIER_LENGTH)
-                    throw new Error('FlatBuffers: file identifier must be length ' + _.FILE_IDENTIFIER_LENGTH);
-                for (var e = 0; e < _.FILE_IDENTIFIER_LENGTH; e++)
-                    if (t.charCodeAt(e) != this.readInt8(this.position_ + _.SIZEOF_INT + e)) return !1;
-                return !0;
-            }),
-            (_.ByteBuffer.prototype.createLong = function (t, e) {
-                return _.Long.create(t, e);
-            });
-    }),
-    W,
-    tn = L(() => {
-        Wn(),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        ((i) => (
-                            (i[(i.UNDEFINED = 0)] = 'UNDEFINED'),
-                            (i[(i.FLOAT = 1)] = 'FLOAT'),
-                            (i[(i.INT = 2)] = 'INT'),
-                            (i[(i.STRING = 3)] = 'STRING'),
-                            (i[(i.TENSOR = 4)] = 'TENSOR'),
-                            (i[(i.GRAPH = 5)] = 'GRAPH'),
-                            (i[(i.FLOATS = 6)] = 'FLOATS'),
-                            (i[(i.INTS = 7)] = 'INTS'),
-                            (i[(i.STRINGS = 8)] = 'STRINGS'),
-                            (i[(i.TENSORS = 9)] = 'TENSORS'),
-                            (i[(i.GRAPHS = 10)] = 'GRAPHS'),
-                            (i[(i.SPARSE_TENSOR = 11)] = 'SPARSE_TENSOR'),
-                            (i[(i.SPARSE_TENSORS = 12)] = 'SPARSE_TENSORS')
-                        ))((o.AttributeType ||= {}));
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        ((i) => (
-                            (i[(i.UNKNOWN = 0)] = 'UNKNOWN'), (i[(i.VALUE = 1)] = 'VALUE'), (i[(i.PARAM = 2)] = 'PARAM')
-                        ))((o.DimensionValueType ||= {}));
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        ((i) => (
-                            (i[(i.UNDEFINED = 0)] = 'UNDEFINED'),
-                            (i[(i.FLOAT = 1)] = 'FLOAT'),
-                            (i[(i.UINT8 = 2)] = 'UINT8'),
-                            (i[(i.INT8 = 3)] = 'INT8'),
-                            (i[(i.UINT16 = 4)] = 'UINT16'),
-                            (i[(i.INT16 = 5)] = 'INT16'),
-                            (i[(i.INT32 = 6)] = 'INT32'),
-                            (i[(i.INT64 = 7)] = 'INT64'),
-                            (i[(i.STRING = 8)] = 'STRING'),
-                            (i[(i.BOOL = 9)] = 'BOOL'),
-                            (i[(i.FLOAT16 = 10)] = 'FLOAT16'),
-                            (i[(i.DOUBLE = 11)] = 'DOUBLE'),
-                            (i[(i.UINT32 = 12)] = 'UINT32'),
-                            (i[(i.UINT64 = 13)] = 'UINT64'),
-                            (i[(i.COMPLEX64 = 14)] = 'COMPLEX64'),
-                            (i[(i.COMPLEX128 = 15)] = 'COMPLEX128'),
-                            (i[(i.BFLOAT16 = 16)] = 'BFLOAT16'),
-                            (i[(i.FLOAT8E4M3FN = 17)] = 'FLOAT8E4M3FN'),
-                            (i[(i.FLOAT8E4M3FNUZ = 18)] = 'FLOAT8E4M3FNUZ'),
-                            (i[(i.FLOAT8E5M2 = 19)] = 'FLOAT8E5M2'),
-                            (i[(i.FLOAT8E5M2FNUZ = 20)] = 'FLOAT8E5M2FNUZ')
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-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
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-                            (o.NodeType ||= {})
-                        );
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
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-                        ((i) => (
-                            (i[(i.NONE = 0)] = 'NONE'),
-                            (i[(i.tensor_type = 1)] = 'tensor_type'),
-                            (i[(i.sequence_type = 2)] = 'sequence_type'),
-                            (i[(i.map_type = 3)] = 'map_type')
-                        ))((o.TypeInfoValue ||= {}));
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsShape(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsShape(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            dim(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 4);
-                                return d
-                                    ? (s || new t.experimental.fbs.Dimension()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            dimLength() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startShape(n) {
-                                n.startObject(1);
-                            }
-                            static addDim(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static createDimVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startDimVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endShape(n) {
-                                return n.endObject();
-                            }
-                            static createShape(n, s) {
-                                return i.startShape(n), i.addDim(n, s), i.endShape(n);
-                            }
-                        }
-                        o.Shape = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsDimension(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsDimension(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            value(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s
-                                    ? (n || new t.experimental.fbs.DimensionValue()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            denotation(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            static startDimension(n) {
-                                n.startObject(2);
-                            }
-                            static addValue(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addDenotation(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static endDimension(n) {
-                                return n.endObject();
-                            }
-                            static createDimension(n, s, d) {
-                                return i.startDimension(n), i.addValue(n, s), i.addDenotation(n, d), i.endDimension(n);
-                            }
-                        }
-                        o.Dimension = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsDimensionValue(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsDimensionValue(n, s) {
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-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            dimType() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.readInt8(this.bb_pos + n) : 0;
-                            }
-                            dimValue() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
-                            }
-                            dimParam(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            static startDimensionValue(n) {
-                                n.startObject(3);
-                            }
-                            static addDimType(n, s) {
-                                n.addFieldInt8(0, s, 0);
-                            }
-                            static addDimValue(n, s) {
-                                n.addFieldInt64(1, s, n.createLong(0, 0));
-                            }
-                            static addDimParam(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static endDimensionValue(n) {
-                                return n.endObject();
-                            }
-                            static createDimensionValue(n, s, d, f) {
-                                return (
-                                    i.startDimensionValue(n),
-                                    i.addDimType(n, s),
-                                    i.addDimValue(n, d),
-                                    i.addDimParam(n, f),
-                                    i.endDimensionValue(n)
-                                );
-                            }
-                        }
-                        o.DimensionValue = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsTensorTypeAndShape(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsTensorTypeAndShape(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            elemType() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            shape(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? (n || new t.experimental.fbs.Shape()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startTensorTypeAndShape(n) {
-                                n.startObject(2);
-                            }
-                            static addElemType(n, s) {
-                                n.addFieldInt32(0, s, 0);
-                            }
-                            static addShape(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static endTensorTypeAndShape(n) {
-                                return n.endObject();
-                            }
-                            static createTensorTypeAndShape(n, s, d) {
-                                return (
-                                    i.startTensorTypeAndShape(n),
-                                    i.addElemType(n, s),
-                                    i.addShape(n, d),
-                                    i.endTensorTypeAndShape(n)
-                                );
-                            }
-                        }
-                        o.TensorTypeAndShape = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsMapType(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsMapType(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            keyType() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            valueType(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startMapType(n) {
-                                n.startObject(2);
-                            }
-                            static addKeyType(n, s) {
-                                n.addFieldInt32(0, s, 0);
-                            }
-                            static addValueType(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static endMapType(n) {
-                                return n.endObject();
-                            }
-                            static createMapType(n, s, d) {
-                                return i.startMapType(n), i.addKeyType(n, s), i.addValueType(n, d), i.endMapType(n);
-                            }
-                        }
-                        o.MapType = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsSequenceType(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsSequenceType(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            elemType(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s
-                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startSequenceType(n) {
-                                n.startObject(1);
-                            }
-                            static addElemType(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static endSequenceType(n) {
-                                return n.endObject();
-                            }
-                            static createSequenceType(n, s) {
-                                return i.startSequenceType(n), i.addElemType(n, s), i.endSequenceType(n);
-                            }
-                        }
-                        o.SequenceType = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            nodeIndex() {
-                                return this.bb.readUint32(this.bb_pos);
-                            }
-                            srcArgIndex() {
-                                return this.bb.readInt32(this.bb_pos + 4);
-                            }
-                            dstArgIndex() {
-                                return this.bb.readInt32(this.bb_pos + 8);
-                            }
-                            static createEdgeEnd(n, s, d, f) {
-                                return n.prep(4, 12), n.writeInt32(f), n.writeInt32(d), n.writeInt32(s), n.offset();
-                            }
-                        }
-                        o.EdgeEnd = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsNodeEdge(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsNodeEdge(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            nodeIndex() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
-                            }
-                            inputEdges(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 6);
-                                return d
-                                    ? (s || new t.experimental.fbs.EdgeEnd()).__init(
-                                          this.bb.__vector(this.bb_pos + d) + n * 12,
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            inputEdgesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            outputEdges(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 8);
-                                return d
-                                    ? (s || new t.experimental.fbs.EdgeEnd()).__init(
-                                          this.bb.__vector(this.bb_pos + d) + n * 12,
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            outputEdgesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 8);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startNodeEdge(n) {
-                                n.startObject(3);
-                            }
-                            static addNodeIndex(n, s) {
-                                n.addFieldInt32(0, s, 0);
-                            }
-                            static addInputEdges(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static startInputEdgesVector(n, s) {
-                                n.startVector(12, s, 4);
-                            }
-                            static addOutputEdges(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static startOutputEdgesVector(n, s) {
-                                n.startVector(12, s, 4);
-                            }
-                            static endNodeEdge(n) {
-                                return n.endObject();
-                            }
-                            static createNodeEdge(n, s, d, f) {
-                                return (
-                                    i.startNodeEdge(n),
-                                    i.addNodeIndex(n, s),
-                                    i.addInputEdges(n, d),
-                                    i.addOutputEdges(n, f),
-                                    i.endNodeEdge(n)
-                                );
-                            }
-                        }
-                        o.NodeEdge = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsNode(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsNode(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            name(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            docString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            domain(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            sinceVersion() {
-                                let n = this.bb.__offset(this.bb_pos, 10);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            index() {
-                                let n = this.bb.__offset(this.bb_pos, 12);
-                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
-                            }
-                            opType(n) {
-                                let s = this.bb.__offset(this.bb_pos, 14);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            type() {
-                                let n = this.bb.__offset(this.bb_pos, 16);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            executionProviderType(n) {
-                                let s = this.bb.__offset(this.bb_pos, 18);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            inputs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 20);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            inputsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 20);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            outputs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 22);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            outputsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 22);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            attributes(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 24);
-                                return d
-                                    ? (s || new t.experimental.fbs.Attribute()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            attributesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 24);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            inputArgCounts(n) {
-                                let s = this.bb.__offset(this.bb_pos, 26);
-                                return s ? this.bb.readInt32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
-                            }
-                            inputArgCountsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 26);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            inputArgCountsArray() {
-                                let n = this.bb.__offset(this.bb_pos, 26);
-                                return n
-                                    ? new Int32Array(
-                                          this.bb.bytes().buffer,
-                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
-                                          this.bb.__vector_len(this.bb_pos + n)
-                                      )
-                                    : null;
-                            }
-                            implicitInputs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 28);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            implicitInputsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 28);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startNode(n) {
-                                n.startObject(13);
-                            }
-                            static addName(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addDocString(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addDomain(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static addSinceVersion(n, s) {
-                                n.addFieldInt32(3, s, 0);
-                            }
-                            static addIndex(n, s) {
-                                n.addFieldInt32(4, s, 0);
-                            }
-                            static addOpType(n, s) {
-                                n.addFieldOffset(5, s, 0);
-                            }
-                            static addType(n, s) {
-                                n.addFieldInt32(6, s, 0);
-                            }
-                            static addExecutionProviderType(n, s) {
-                                n.addFieldOffset(7, s, 0);
-                            }
-                            static addInputs(n, s) {
-                                n.addFieldOffset(8, s, 0);
-                            }
-                            static createInputsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startInputsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addOutputs(n, s) {
-                                n.addFieldOffset(9, s, 0);
-                            }
-                            static createOutputsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startOutputsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addAttributes(n, s) {
-                                n.addFieldOffset(10, s, 0);
-                            }
-                            static createAttributesVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startAttributesVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addInputArgCounts(n, s) {
-                                n.addFieldOffset(11, s, 0);
-                            }
-                            static createInputArgCountsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt32(s[d]);
-                                return n.endVector();
-                            }
-                            static startInputArgCountsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addImplicitInputs(n, s) {
-                                n.addFieldOffset(12, s, 0);
-                            }
-                            static createImplicitInputsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startImplicitInputsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endNode(n) {
-                                return n.endObject();
-                            }
-                            static createNode(n, s, d, f, r, a, l, p, m, y, T, v, S, E) {
-                                return (
-                                    i.startNode(n),
-                                    i.addName(n, s),
-                                    i.addDocString(n, d),
-                                    i.addDomain(n, f),
-                                    i.addSinceVersion(n, r),
-                                    i.addIndex(n, a),
-                                    i.addOpType(n, l),
-                                    i.addType(n, p),
-                                    i.addExecutionProviderType(n, m),
-                                    i.addInputs(n, y),
-                                    i.addOutputs(n, T),
-                                    i.addAttributes(n, v),
-                                    i.addInputArgCounts(n, S),
-                                    i.addImplicitInputs(n, E),
-                                    i.endNode(n)
-                                );
-                            }
-                        }
-                        o.Node = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsValueInfo(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsValueInfo(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            name(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            docString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            type(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s
-                                    ? (n || new t.experimental.fbs.TypeInfo()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startValueInfo(n) {
-                                n.startObject(3);
-                            }
-                            static addName(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addDocString(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addType(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static endValueInfo(n) {
-                                return n.endObject();
-                            }
-                            static createValueInfo(n, s, d, f) {
-                                return (
-                                    i.startValueInfo(n),
-                                    i.addName(n, s),
-                                    i.addDocString(n, d),
-                                    i.addType(n, f),
-                                    i.endValueInfo(n)
-                                );
-                            }
-                        }
-                        o.ValueInfo = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsTypeInfo(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsTypeInfo(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            denotation(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            valueType() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.readUint8(this.bb_pos + n) : 0;
-                            }
-                            value(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s ? this.bb.__union(n, this.bb_pos + s) : null;
-                            }
-                            static startTypeInfo(n) {
-                                n.startObject(3);
-                            }
-                            static addDenotation(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addValueType(n, s) {
-                                n.addFieldInt8(1, s, 0);
-                            }
-                            static addValue(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static endTypeInfo(n) {
-                                return n.endObject();
-                            }
-                            static createTypeInfo(n, s, d, f) {
-                                return (
-                                    i.startTypeInfo(n),
-                                    i.addDenotation(n, s),
-                                    i.addValueType(n, d),
-                                    i.addValue(n, f),
-                                    i.endTypeInfo(n)
-                                );
-                            }
-                        }
-                        o.TypeInfo = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsOperatorSetId(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsOperatorSetId(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            domain(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            version() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
-                            }
-                            static startOperatorSetId(n) {
-                                n.startObject(2);
-                            }
-                            static addDomain(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addVersion(n, s) {
-                                n.addFieldInt64(1, s, n.createLong(0, 0));
-                            }
-                            static endOperatorSetId(n) {
-                                return n.endObject();
-                            }
-                            static createOperatorSetId(n, s, d) {
-                                return (
-                                    i.startOperatorSetId(n),
-                                    i.addDomain(n, s),
-                                    i.addVersion(n, d),
-                                    i.endOperatorSetId(n)
-                                );
-                            }
-                        }
-                        o.OperatorSetId = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsTensor(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsTensor(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            name(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            docString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            dims(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s
-                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
-                                    : this.bb.createLong(0, 0);
-                            }
-                            dimsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 8);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            dataType() {
-                                let n = this.bb.__offset(this.bb_pos, 10);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            rawData(n) {
-                                let s = this.bb.__offset(this.bb_pos, 12);
-                                return s ? this.bb.readUint8(this.bb.__vector(this.bb_pos + s) + n) : 0;
-                            }
-                            rawDataLength() {
-                                let n = this.bb.__offset(this.bb_pos, 12);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            rawDataArray() {
-                                let n = this.bb.__offset(this.bb_pos, 12);
-                                return n
-                                    ? new Uint8Array(
-                                          this.bb.bytes().buffer,
-                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
-                                          this.bb.__vector_len(this.bb_pos + n)
-                                      )
-                                    : null;
-                            }
-                            stringData(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 14);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            stringDataLength() {
-                                let n = this.bb.__offset(this.bb_pos, 14);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startTensor(n) {
-                                n.startObject(6);
-                            }
-                            static addName(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addDocString(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addDims(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static createDimsVector(n, s) {
-                                n.startVector(8, s.length, 8);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
-                                return n.endVector();
-                            }
-                            static startDimsVector(n, s) {
-                                n.startVector(8, s, 8);
-                            }
-                            static addDataType(n, s) {
-                                n.addFieldInt32(3, s, 0);
-                            }
-                            static addRawData(n, s) {
-                                n.addFieldOffset(4, s, 0);
-                            }
-                            static createRawDataVector(n, s) {
-                                n.startVector(1, s.length, 1);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt8(s[d]);
-                                return n.endVector();
-                            }
-                            static startRawDataVector(n, s) {
-                                n.startVector(1, s, 1);
-                            }
-                            static addStringData(n, s) {
-                                n.addFieldOffset(5, s, 0);
-                            }
-                            static createStringDataVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startStringDataVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endTensor(n) {
-                                return n.endObject();
-                            }
-                            static createTensor(n, s, d, f, r, a, l) {
-                                return (
-                                    i.startTensor(n),
-                                    i.addName(n, s),
-                                    i.addDocString(n, d),
-                                    i.addDims(n, f),
-                                    i.addDataType(n, r),
-                                    i.addRawData(n, a),
-                                    i.addStringData(n, l),
-                                    i.endTensor(n)
-                                );
-                            }
-                        }
-                        o.Tensor = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsSparseTensor(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsSparseTensor(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            values(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s
-                                    ? (n || new t.experimental.fbs.Tensor()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            indices(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? (n || new t.experimental.fbs.Tensor()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            dims(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s
-                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
-                                    : this.bb.createLong(0, 0);
-                            }
-                            dimsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 8);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startSparseTensor(n) {
-                                n.startObject(3);
-                            }
-                            static addValues(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addIndices(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addDims(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static createDimsVector(n, s) {
-                                n.startVector(8, s.length, 8);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
-                                return n.endVector();
-                            }
-                            static startDimsVector(n, s) {
-                                n.startVector(8, s, 8);
-                            }
-                            static endSparseTensor(n) {
-                                return n.endObject();
-                            }
-                            static createSparseTensor(n, s, d, f) {
-                                return (
-                                    i.startSparseTensor(n),
-                                    i.addValues(n, s),
-                                    i.addIndices(n, d),
-                                    i.addDims(n, f),
-                                    i.endSparseTensor(n)
-                                );
-                            }
-                        }
-                        o.SparseTensor = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsAttribute(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsAttribute(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            name(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            docString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            type() {
-                                let n = this.bb.__offset(this.bb_pos, 8);
-                                return n ? this.bb.readInt32(this.bb_pos + n) : 0;
-                            }
-                            f() {
-                                let n = this.bb.__offset(this.bb_pos, 10);
-                                return n ? this.bb.readFloat32(this.bb_pos + n) : 0;
-                            }
-                            i() {
-                                let n = this.bb.__offset(this.bb_pos, 12);
-                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
-                            }
-                            s(n) {
-                                let s = this.bb.__offset(this.bb_pos, 14);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            t(n) {
-                                let s = this.bb.__offset(this.bb_pos, 16);
-                                return s
-                                    ? (n || new t.experimental.fbs.Tensor()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            g(n) {
-                                let s = this.bb.__offset(this.bb_pos, 18);
-                                return s
-                                    ? (n || new t.experimental.fbs.Graph()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            floats(n) {
-                                let s = this.bb.__offset(this.bb_pos, 20);
-                                return s ? this.bb.readFloat32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
-                            }
-                            floatsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 20);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            floatsArray() {
-                                let n = this.bb.__offset(this.bb_pos, 20);
-                                return n
-                                    ? new Float32Array(
-                                          this.bb.bytes().buffer,
-                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
-                                          this.bb.__vector_len(this.bb_pos + n)
-                                      )
-                                    : null;
-                            }
-                            ints(n) {
-                                let s = this.bb.__offset(this.bb_pos, 22);
-                                return s
-                                    ? this.bb.readInt64(this.bb.__vector(this.bb_pos + s) + n * 8)
-                                    : this.bb.createLong(0, 0);
-                            }
-                            intsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 22);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            strings(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 24);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            stringsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 24);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            tensors(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 26);
-                                return d
-                                    ? (s || new t.experimental.fbs.Tensor()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            tensorsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 26);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            graphs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 28);
-                                return d
-                                    ? (s || new t.experimental.fbs.Graph()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            graphsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 28);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startAttribute(n) {
-                                n.startObject(13);
-                            }
-                            static addName(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addDocString(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addType(n, s) {
-                                n.addFieldInt32(2, s, 0);
-                            }
-                            static addF(n, s) {
-                                n.addFieldFloat32(3, s, 0);
-                            }
-                            static addI(n, s) {
-                                n.addFieldInt64(4, s, n.createLong(0, 0));
-                            }
-                            static addS(n, s) {
-                                n.addFieldOffset(5, s, 0);
-                            }
-                            static addT(n, s) {
-                                n.addFieldOffset(6, s, 0);
-                            }
-                            static addG(n, s) {
-                                n.addFieldOffset(7, s, 0);
-                            }
-                            static addFloats(n, s) {
-                                n.addFieldOffset(8, s, 0);
-                            }
-                            static createFloatsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addFloat32(s[d]);
-                                return n.endVector();
-                            }
-                            static startFloatsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addInts(n, s) {
-                                n.addFieldOffset(9, s, 0);
-                            }
-                            static createIntsVector(n, s) {
-                                n.startVector(8, s.length, 8);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
-                                return n.endVector();
-                            }
-                            static startIntsVector(n, s) {
-                                n.startVector(8, s, 8);
-                            }
-                            static addStrings(n, s) {
-                                n.addFieldOffset(10, s, 0);
-                            }
-                            static createStringsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startStringsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addTensors(n, s) {
-                                n.addFieldOffset(11, s, 0);
-                            }
-                            static createTensorsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startTensorsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addGraphs(n, s) {
-                                n.addFieldOffset(12, s, 0);
-                            }
-                            static createGraphsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startGraphsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endAttribute(n) {
-                                return n.endObject();
-                            }
-                            static createAttribute(n, s, d, f, r, a, l, p, m, y, T, v, S, E) {
-                                return (
-                                    i.startAttribute(n),
-                                    i.addName(n, s),
-                                    i.addDocString(n, d),
-                                    i.addType(n, f),
-                                    i.addF(n, r),
-                                    i.addI(n, a),
-                                    i.addS(n, l),
-                                    i.addT(n, p),
-                                    i.addG(n, m),
-                                    i.addFloats(n, y),
-                                    i.addInts(n, T),
-                                    i.addStrings(n, v),
-                                    i.addTensors(n, S),
-                                    i.addGraphs(n, E),
-                                    i.endAttribute(n)
-                                );
-                            }
-                        }
-                        o.Attribute = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsGraph(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsGraph(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            initializers(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 4);
-                                return d
-                                    ? (s || new t.experimental.fbs.Tensor()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            initializersLength() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            nodeArgs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 6);
-                                return d
-                                    ? (s || new t.experimental.fbs.ValueInfo()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            nodeArgsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            nodes(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 8);
-                                return d
-                                    ? (s || new t.experimental.fbs.Node()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            nodesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 8);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            maxNodeIndex() {
-                                let n = this.bb.__offset(this.bb_pos, 10);
-                                return n ? this.bb.readUint32(this.bb_pos + n) : 0;
-                            }
-                            nodeEdges(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 12);
-                                return d
-                                    ? (s || new t.experimental.fbs.NodeEdge()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            nodeEdgesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 12);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            inputs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 14);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            inputsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 14);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            outputs(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 16);
-                                return d ? this.bb.__string(this.bb.__vector(this.bb_pos + d) + n * 4, s) : null;
-                            }
-                            outputsLength() {
-                                let n = this.bb.__offset(this.bb_pos, 16);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            sparseInitializers(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 18);
-                                return d
-                                    ? (s || new t.experimental.fbs.SparseTensor()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            sparseInitializersLength() {
-                                let n = this.bb.__offset(this.bb_pos, 18);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startGraph(n) {
-                                n.startObject(8);
-                            }
-                            static addInitializers(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static createInitializersVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startInitializersVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addNodeArgs(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static createNodeArgsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startNodeArgsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addNodes(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static createNodesVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startNodesVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addMaxNodeIndex(n, s) {
-                                n.addFieldInt32(3, s, 0);
-                            }
-                            static addNodeEdges(n, s) {
-                                n.addFieldOffset(4, s, 0);
-                            }
-                            static createNodeEdgesVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startNodeEdgesVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addInputs(n, s) {
-                                n.addFieldOffset(5, s, 0);
-                            }
-                            static createInputsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startInputsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addOutputs(n, s) {
-                                n.addFieldOffset(6, s, 0);
-                            }
-                            static createOutputsVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startOutputsVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addSparseInitializers(n, s) {
-                                n.addFieldOffset(7, s, 0);
-                            }
-                            static createSparseInitializersVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startSparseInitializersVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endGraph(n) {
-                                return n.endObject();
-                            }
-                            static createGraph(n, s, d, f, r, a, l, p, m) {
-                                return (
-                                    i.startGraph(n),
-                                    i.addInitializers(n, s),
-                                    i.addNodeArgs(n, d),
-                                    i.addNodes(n, f),
-                                    i.addMaxNodeIndex(n, r),
-                                    i.addNodeEdges(n, a),
-                                    i.addInputs(n, l),
-                                    i.addOutputs(n, p),
-                                    i.addSparseInitializers(n, m),
-                                    i.endGraph(n)
-                                );
-                            }
-                        }
-                        o.Graph = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsModel(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsModel(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            irVersion() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
-                            }
-                            opsetImport(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 6);
-                                return d
-                                    ? (s || new t.experimental.fbs.OperatorSetId()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            opsetImportLength() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            producerName(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            producerVersion(n) {
-                                let s = this.bb.__offset(this.bb_pos, 10);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            domain(n) {
-                                let s = this.bb.__offset(this.bb_pos, 12);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            modelVersion() {
-                                let n = this.bb.__offset(this.bb_pos, 14);
-                                return n ? this.bb.readInt64(this.bb_pos + n) : this.bb.createLong(0, 0);
-                            }
-                            docString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 16);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            graph(n) {
-                                let s = this.bb.__offset(this.bb_pos, 18);
-                                return s
-                                    ? (n || new t.experimental.fbs.Graph()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            graphDocString(n) {
-                                let s = this.bb.__offset(this.bb_pos, 20);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            static startModel(n) {
-                                n.startObject(9);
-                            }
-                            static addIrVersion(n, s) {
-                                n.addFieldInt64(0, s, n.createLong(0, 0));
-                            }
-                            static addOpsetImport(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static createOpsetImportVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startOpsetImportVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addProducerName(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static addProducerVersion(n, s) {
-                                n.addFieldOffset(3, s, 0);
-                            }
-                            static addDomain(n, s) {
-                                n.addFieldOffset(4, s, 0);
-                            }
-                            static addModelVersion(n, s) {
-                                n.addFieldInt64(5, s, n.createLong(0, 0));
-                            }
-                            static addDocString(n, s) {
-                                n.addFieldOffset(6, s, 0);
-                            }
-                            static addGraph(n, s) {
-                                n.addFieldOffset(7, s, 0);
-                            }
-                            static addGraphDocString(n, s) {
-                                n.addFieldOffset(8, s, 0);
-                            }
-                            static endModel(n) {
-                                return n.endObject();
-                            }
-                            static createModel(n, s, d, f, r, a, l, p, m, y) {
-                                return (
-                                    i.startModel(n),
-                                    i.addIrVersion(n, s),
-                                    i.addOpsetImport(n, d),
-                                    i.addProducerName(n, f),
-                                    i.addProducerVersion(n, r),
-                                    i.addDomain(n, a),
-                                    i.addModelVersion(n, l),
-                                    i.addDocString(n, p),
-                                    i.addGraph(n, m),
-                                    i.addGraphDocString(n, y),
-                                    i.endModel(n)
-                                );
-                            }
-                        }
-                        o.Model = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsKernelCreateInfos(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsKernelCreateInfos(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            nodeIndices(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.readUint32(this.bb.__vector(this.bb_pos + s) + n * 4) : 0;
-                            }
-                            nodeIndicesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            nodeIndicesArray() {
-                                let n = this.bb.__offset(this.bb_pos, 4);
-                                return n
-                                    ? new Uint32Array(
-                                          this.bb.bytes().buffer,
-                                          this.bb.bytes().byteOffset + this.bb.__vector(this.bb_pos + n),
-                                          this.bb.__vector_len(this.bb_pos + n)
-                                      )
-                                    : null;
-                            }
-                            kernelDefHashes(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? this.bb.readUint64(this.bb.__vector(this.bb_pos + s) + n * 8)
-                                    : this.bb.createLong(0, 0);
-                            }
-                            kernelDefHashesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startKernelCreateInfos(n) {
-                                n.startObject(2);
-                            }
-                            static addNodeIndices(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static createNodeIndicesVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt32(s[d]);
-                                return n.endVector();
-                            }
-                            static startNodeIndicesVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static addKernelDefHashes(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static createKernelDefHashesVector(n, s) {
-                                n.startVector(8, s.length, 8);
-                                for (let d = s.length - 1; d >= 0; d--) n.addInt64(s[d]);
-                                return n.endVector();
-                            }
-                            static startKernelDefHashesVector(n, s) {
-                                n.startVector(8, s, 8);
-                            }
-                            static endKernelCreateInfos(n) {
-                                return n.endObject();
-                            }
-                            static createKernelCreateInfos(n, s, d) {
-                                return (
-                                    i.startKernelCreateInfos(n),
-                                    i.addNodeIndices(n, s),
-                                    i.addKernelDefHashes(n, d),
-                                    i.endKernelCreateInfos(n)
-                                );
-                            }
-                        }
-                        o.KernelCreateInfos = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsSubGraphSessionState(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsSubGraphSessionState(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            graphId(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            sessionState(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? (n || new t.experimental.fbs.SessionState()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startSubGraphSessionState(n) {
-                                n.startObject(2);
-                            }
-                            static addGraphId(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addSessionState(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static endSubGraphSessionState(n) {
-                                let s = n.endObject();
-                                return n.requiredField(s, 4), s;
-                            }
-                            static createSubGraphSessionState(n, s, d) {
-                                return (
-                                    i.startSubGraphSessionState(n),
-                                    i.addGraphId(n, s),
-                                    i.addSessionState(n, d),
-                                    i.endSubGraphSessionState(n)
-                                );
-                            }
-                        }
-                        o.SubGraphSessionState = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsSessionState(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsSessionState(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            kernels(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s
-                                    ? (n || new t.experimental.fbs.KernelCreateInfos()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            subGraphSessionStates(n, s) {
-                                let d = this.bb.__offset(this.bb_pos, 6);
-                                return d
-                                    ? (s || new t.experimental.fbs.SubGraphSessionState()).__init(
-                                          this.bb.__indirect(this.bb.__vector(this.bb_pos + d) + n * 4),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            subGraphSessionStatesLength() {
-                                let n = this.bb.__offset(this.bb_pos, 6);
-                                return n ? this.bb.__vector_len(this.bb_pos + n) : 0;
-                            }
-                            static startSessionState(n) {
-                                n.startObject(2);
-                            }
-                            static addKernels(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addSubGraphSessionStates(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static createSubGraphSessionStatesVector(n, s) {
-                                n.startVector(4, s.length, 4);
-                                for (let d = s.length - 1; d >= 0; d--) n.addOffset(s[d]);
-                                return n.endVector();
-                            }
-                            static startSubGraphSessionStatesVector(n, s) {
-                                n.startVector(4, s, 4);
-                            }
-                            static endSessionState(n) {
-                                return n.endObject();
-                            }
-                            static createSessionState(n, s, d) {
-                                return (
-                                    i.startSessionState(n),
-                                    i.addKernels(n, s),
-                                    i.addSubGraphSessionStates(n, d),
-                                    i.endSessionState(n)
-                                );
-                            }
-                        }
-                        o.SessionState = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {})),
-            ((t) => {
-                ((e) => {
-                    ((o) => {
-                        class i {
-                            constructor() {
-                                (this.bb = null), (this.bb_pos = 0);
-                            }
-                            __init(n, s) {
-                                return (this.bb_pos = n), (this.bb = s), this;
-                            }
-                            static getRootAsInferenceSession(n, s) {
-                                return (s || new i()).__init(n.readInt32(n.position()) + n.position(), n);
-                            }
-                            static getSizePrefixedRootAsInferenceSession(n, s) {
-                                return (
-                                    n.setPosition(n.position() + _.SIZE_PREFIX_LENGTH),
-                                    (s || new i()).__init(n.readInt32(n.position()) + n.position(), n)
-                                );
-                            }
-                            static bufferHasIdentifier(n) {
-                                return n.__has_identifier('ORTM');
-                            }
-                            ortVersion(n) {
-                                let s = this.bb.__offset(this.bb_pos, 4);
-                                return s ? this.bb.__string(this.bb_pos + s, n) : null;
-                            }
-                            model(n) {
-                                let s = this.bb.__offset(this.bb_pos, 6);
-                                return s
-                                    ? (n || new t.experimental.fbs.Model()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            sessionState(n) {
-                                let s = this.bb.__offset(this.bb_pos, 8);
-                                return s
-                                    ? (n || new t.experimental.fbs.SessionState()).__init(
-                                          this.bb.__indirect(this.bb_pos + s),
-                                          this.bb
-                                      )
-                                    : null;
-                            }
-                            static startInferenceSession(n) {
-                                n.startObject(3);
-                            }
-                            static addOrtVersion(n, s) {
-                                n.addFieldOffset(0, s, 0);
-                            }
-                            static addModel(n, s) {
-                                n.addFieldOffset(1, s, 0);
-                            }
-                            static addSessionState(n, s) {
-                                n.addFieldOffset(2, s, 0);
-                            }
-                            static endInferenceSession(n) {
-                                return n.endObject();
-                            }
-                            static finishInferenceSessionBuffer(n, s) {
-                                n.finish(s, 'ORTM');
-                            }
-                            static finishSizePrefixedInferenceSessionBuffer(n, s) {
-                                n.finish(s, 'ORTM', !0);
-                            }
-                            static createInferenceSession(n, s, d, f) {
-                                return (
-                                    i.startInferenceSession(n),
-                                    i.addOrtVersion(n, s),
-                                    i.addModel(n, d),
-                                    i.addSessionState(n, f),
-                                    i.endInferenceSession(n)
-                                );
-                            }
-                        }
-                        o.InferenceSession = i;
-                    })((e.fbs ||= {}));
-                })((t.experimental ||= {}));
-            })((W ||= {}));
-    }),
-    ks = me((t, e) => {
-        e.exports = o;
-        function o(i, u) {
-            for (var n = new Array(arguments.length - 1), s = 0, d = 2, f = !0; d < arguments.length; )
-                n[s++] = arguments[d++];
-            return new Promise(function (r, a) {
-                n[s] = function (l) {
-                    if (f)
-                        if (((f = !1), l)) a(l);
-                        else {
-                            for (var p = new Array(arguments.length - 1), m = 0; m < p.length; ) p[m++] = arguments[m];
-                            r.apply(null, p);
-                        }
-                };
-                try {
-                    i.apply(u || null, n);
-                } catch (l) {
-                    f && ((f = !1), a(l));
-                }
-            });
-        }
-    }),
-    Ms = me((t) => {
-        var e = t;
-        e.length = function (s) {
-            var d = s.length;
-            if (!d) return 0;
-            for (var f = 0; --d % 4 > 1 && s.charAt(d) === '='; ) ++f;
-            return Math.ceil(s.length * 3) / 4 - f;
-        };
-        var o = new Array(64),
-            i = new Array(123);
-        for (u = 0; u < 64; ) i[(o[u] = u < 26 ? u + 65 : u < 52 ? u + 71 : u < 62 ? u - 4 : (u - 59) | 43)] = u++;
-        var u;
-        e.encode = function (s, d, f) {
-            for (var r = null, a = [], l = 0, p = 0, m; d < f; ) {
-                var y = s[d++];
-                switch (p) {
-                    case 0:
-                        (a[l++] = o[y >> 2]), (m = (y & 3) << 4), (p = 1);
-                        break;
-                    case 1:
-                        (a[l++] = o[m | (y >> 4)]), (m = (y & 15) << 2), (p = 2);
-                        break;
-                    case 2:
-                        (a[l++] = o[m | (y >> 6)]), (a[l++] = o[y & 63]), (p = 0);
-                        break;
-                }
-                l > 8191 && ((r || (r = [])).push(String.fromCharCode.apply(String, a)), (l = 0));
-            }
-            return (
-                p && ((a[l++] = o[m]), (a[l++] = 61), p === 1 && (a[l++] = 61)),
-                r
-                    ? (l && r.push(String.fromCharCode.apply(String, a.slice(0, l))), r.join(''))
-                    : String.fromCharCode.apply(String, a.slice(0, l))
-            );
-        };
-        var n = 'invalid encoding';
-        (e.decode = function (s, d, f) {
-            for (var r = f, a = 0, l, p = 0; p < s.length; ) {
-                var m = s.charCodeAt(p++);
-                if (m === 61 && a > 1) break;
-                if ((m = i[m]) === void 0) throw Error(n);
-                switch (a) {
-                    case 0:
-                        (l = m), (a = 1);
-                        break;
-                    case 1:
-                        (d[f++] = (l << 2) | ((m & 48) >> 4)), (l = m), (a = 2);
-                        break;
-                    case 2:
-                        (d[f++] = ((l & 15) << 4) | ((m & 60) >> 2)), (l = m), (a = 3);
-                        break;
-                    case 3:
-                        (d[f++] = ((l & 3) << 6) | m), (a = 0);
-                        break;
-                }
-            }
-            if (a === 1) throw Error(n);
-            return f - r;
-        }),
-            (e.test = function (s) {
-                return /^(?:[A-Za-z0-9+/]{4})*(?:[A-Za-z0-9+/]{2}==|[A-Za-z0-9+/]{3}=)?$/.test(s);
-            });
-    }),
-    Us = me((t, e) => {
-        e.exports = o;
-        function o() {
-            this._listeners = {};
-        }
-        (o.prototype.on = function (i, u, n) {
-            return (this._listeners[i] || (this._listeners[i] = [])).push({ fn: u, ctx: n || this }), this;
-        }),
-            (o.prototype.off = function (i, u) {
-                if (i === void 0) this._listeners = {};
-                else if (u === void 0) this._listeners[i] = [];
-                else for (var n = this._listeners[i], s = 0; s < n.length; ) n[s].fn === u ? n.splice(s, 1) : ++s;
-                return this;
-            }),
-            (o.prototype.emit = function (i) {
-                var u = this._listeners[i];
-                if (u) {
-                    for (var n = [], s = 1; s < arguments.length; ) n.push(arguments[s++]);
-                    for (s = 0; s < u.length; ) u[s].fn.apply(u[s++].ctx, n);
-                }
-                return this;
-            });
-    }),
-    Ys = me((t, e) => {
-        e.exports = o(o);
-        function o(d) {
-            return (
-                typeof Float32Array < 'u'
-                    ? (function () {
-                          var f = new Float32Array([-0]),
-                              r = new Uint8Array(f.buffer),
-                              a = r[3] === 128;
-                          function l(T, v, S) {
-                              (f[0] = T), (v[S] = r[0]), (v[S + 1] = r[1]), (v[S + 2] = r[2]), (v[S + 3] = r[3]);
-                          }
-                          function p(T, v, S) {
-                              (f[0] = T), (v[S] = r[3]), (v[S + 1] = r[2]), (v[S + 2] = r[1]), (v[S + 3] = r[0]);
-                          }
-                          (d.writeFloatLE = a ? l : p), (d.writeFloatBE = a ? p : l);
-                          function m(T, v) {
-                              return (r[0] = T[v]), (r[1] = T[v + 1]), (r[2] = T[v + 2]), (r[3] = T[v + 3]), f[0];
-                          }
-                          function y(T, v) {
-                              return (r[3] = T[v]), (r[2] = T[v + 1]), (r[1] = T[v + 2]), (r[0] = T[v + 3]), f[0];
-                          }
-                          (d.readFloatLE = a ? m : y), (d.readFloatBE = a ? y : m);
-                      })()
-                    : (function () {
-                          function f(a, l, p, m) {
-                              var y = l < 0 ? 1 : 0;
-                              if ((y && (l = -l), l === 0)) a(1 / l > 0 ? 0 : 2147483648, p, m);
-                              else if (isNaN(l)) a(2143289344, p, m);
-                              else if (l > 34028234663852886e22) a(((y << 31) | 2139095040) >>> 0, p, m);
-                              else if (l < 11754943508222875e-54)
-                                  a(((y << 31) | Math.round(l / 1401298464324817e-60)) >>> 0, p, m);
-                              else {
-                                  var T = Math.floor(Math.log(l) / Math.LN2),
-                                      v = Math.round(l * Math.pow(2, -T) * 8388608) & 8388607;
-                                  a(((y << 31) | ((T + 127) << 23) | v) >>> 0, p, m);
-                              }
-                          }
-                          (d.writeFloatLE = f.bind(null, i)), (d.writeFloatBE = f.bind(null, u));
-                          function r(a, l, p) {
-                              var m = a(l, p),
-                                  y = (m >> 31) * 2 + 1,
-                                  T = (m >>> 23) & 255,
-                                  v = m & 8388607;
-                              return T === 255
-                                  ? v
-                                      ? NaN
-                                      : y * (1 / 0)
-                                  : T === 0
-                                  ? y * 1401298464324817e-60 * v
-                                  : y * Math.pow(2, T - 150) * (v + 8388608);
-                          }
-                          (d.readFloatLE = r.bind(null, n)), (d.readFloatBE = r.bind(null, s));
-                      })(),
-                typeof Float64Array < 'u'
-                    ? (function () {
-                          var f = new Float64Array([-0]),
-                              r = new Uint8Array(f.buffer),
-                              a = r[7] === 128;
-                          function l(T, v, S) {
-                              (f[0] = T),
-                                  (v[S] = r[0]),
-                                  (v[S + 1] = r[1]),
-                                  (v[S + 2] = r[2]),
-                                  (v[S + 3] = r[3]),
-                                  (v[S + 4] = r[4]),
-                                  (v[S + 5] = r[5]),
-                                  (v[S + 6] = r[6]),
-                                  (v[S + 7] = r[7]);
-                          }
-                          function p(T, v, S) {
-                              (f[0] = T),
-                                  (v[S] = r[7]),
-                                  (v[S + 1] = r[6]),
-                                  (v[S + 2] = r[5]),
-                                  (v[S + 3] = r[4]),
-                                  (v[S + 4] = r[3]),
-                                  (v[S + 5] = r[2]),
-                                  (v[S + 6] = r[1]),
-                                  (v[S + 7] = r[0]);
-                          }
-                          (d.writeDoubleLE = a ? l : p), (d.writeDoubleBE = a ? p : l);
-                          function m(T, v) {
-                              return (
-                                  (r[0] = T[v]),
-                                  (r[1] = T[v + 1]),
-                                  (r[2] = T[v + 2]),
-                                  (r[3] = T[v + 3]),
-                                  (r[4] = T[v + 4]),
-                                  (r[5] = T[v + 5]),
-                                  (r[6] = T[v + 6]),
-                                  (r[7] = T[v + 7]),
-                                  f[0]
-                              );
-                          }
-                          function y(T, v) {
-                              return (
-                                  (r[7] = T[v]),
-                                  (r[6] = T[v + 1]),
-                                  (r[5] = T[v + 2]),
-                                  (r[4] = T[v + 3]),
-                                  (r[3] = T[v + 4]),
-                                  (r[2] = T[v + 5]),
-                                  (r[1] = T[v + 6]),
-                                  (r[0] = T[v + 7]),
-                                  f[0]
-                              );
-                          }
-                          (d.readDoubleLE = a ? m : y), (d.readDoubleBE = a ? y : m);
-                      })()
-                    : (function () {
-                          function f(a, l, p, m, y, T) {
-                              var v = m < 0 ? 1 : 0;
-                              if ((v && (m = -m), m === 0)) a(0, y, T + l), a(1 / m > 0 ? 0 : 2147483648, y, T + p);
-                              else if (isNaN(m)) a(0, y, T + l), a(2146959360, y, T + p);
-                              else if (m > 17976931348623157e292)
-                                  a(0, y, T + l), a(((v << 31) | 2146435072) >>> 0, y, T + p);
-                              else {
-                                  var S;
-                                  if (m < 22250738585072014e-324)
-                                      (S = m / 5e-324),
-                                          a(S >>> 0, y, T + l),
-                                          a(((v << 31) | (S / 4294967296)) >>> 0, y, T + p);
-                                  else {
-                                      var E = Math.floor(Math.log(m) / Math.LN2);
-                                      E === 1024 && (E = 1023),
-                                          (S = m * Math.pow(2, -E)),
-                                          a((S * 4503599627370496) >>> 0, y, T + l),
-                                          a(
-                                              ((v << 31) | ((E + 1023) << 20) | ((S * 1048576) & 1048575)) >>> 0,
-                                              y,
-                                              T + p
-                                          );
-                                  }
-                              }
-                          }
-                          (d.writeDoubleLE = f.bind(null, i, 0, 4)), (d.writeDoubleBE = f.bind(null, u, 4, 0));
-                          function r(a, l, p, m, y) {
-                              var T = a(m, y + l),
-                                  v = a(m, y + p),
-                                  S = (v >> 31) * 2 + 1,
-                                  E = (v >>> 20) & 2047,
-                                  A = 4294967296 * (v & 1048575) + T;
-                              return E === 2047
-                                  ? A
-                                      ? NaN
-                                      : S * (1 / 0)
-                                  : E === 0
-                                  ? S * 5e-324 * A
-                                  : S * Math.pow(2, E - 1075) * (A + 4503599627370496);
-                          }
-                          (d.readDoubleLE = r.bind(null, n, 0, 4)), (d.readDoubleBE = r.bind(null, s, 4, 0));
-                      })(),
-                d
-            );
-        }
-        function i(d, f, r) {
-            (f[r] = d & 255), (f[r + 1] = (d >>> 8) & 255), (f[r + 2] = (d >>> 16) & 255), (f[r + 3] = d >>> 24);
-        }
-        function u(d, f, r) {
-            (f[r] = d >>> 24), (f[r + 1] = (d >>> 16) & 255), (f[r + 2] = (d >>> 8) & 255), (f[r + 3] = d & 255);
-        }
-        function n(d, f) {
-            return (d[f] | (d[f + 1] << 8) | (d[f + 2] << 16) | (d[f + 3] << 24)) >>> 0;
-        }
-        function s(d, f) {
-            return ((d[f] << 24) | (d[f + 1] << 16) | (d[f + 2] << 8) | d[f + 3]) >>> 0;
-        }
-    }),
-    Xs = me((exports, module) => {
-        module.exports = inquire;
-        function inquire(moduleName) {
-            try {
-                var mod = eval('quire'.replace(/^/, 're'))(moduleName);
-                if (mod && (mod.length || Object.keys(mod).length)) return mod;
-            } catch (t) {}
-            return null;
-        }
-    }),
-    Js = me((t) => {
-        var e = t;
-        (e.length = function (o) {
-            for (var i = 0, u = 0, n = 0; n < o.length; ++n)
-                (u = o.charCodeAt(n)),
-                    u < 128
-                        ? (i += 1)
-                        : u < 2048
-                        ? (i += 2)
-                        : (u & 64512) === 55296 && (o.charCodeAt(n + 1) & 64512) === 56320
-                        ? (++n, (i += 4))
-                        : (i += 3);
-            return i;
-        }),
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-                var n = u - i;
-                if (n < 1) return '';
-                for (var s = null, d = [], f = 0, r; i < u; )
-                    (r = o[i++]),
-                        r < 128
-                            ? (d[f++] = r)
-                            : r > 191 && r < 224
-                            ? (d[f++] = ((r & 31) << 6) | (o[i++] & 63))
-                            : r > 239 && r < 365
-                            ? ((r =
-                                  (((r & 7) << 18) | ((o[i++] & 63) << 12) | ((o[i++] & 63) << 6) | (o[i++] & 63)) -
-                                  65536),
-                              (d[f++] = 55296 + (r >> 10)),
-                              (d[f++] = 56320 + (r & 1023)))
-                            : (d[f++] = ((r & 15) << 12) | ((o[i++] & 63) << 6) | (o[i++] & 63)),
-                        f > 8191 && ((s || (s = [])).push(String.fromCharCode.apply(String, d)), (f = 0));
-                return s
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-                    : String.fromCharCode.apply(String, d.slice(0, f));
-            }),
-            (e.write = function (o, i, u) {
-                for (var n = u, s, d, f = 0; f < o.length; ++f)
-                    (s = o.charCodeAt(f)),
-                        s < 128
-                            ? (i[u++] = s)
-                            : s < 2048
-                            ? ((i[u++] = (s >> 6) | 192), (i[u++] = (s & 63) | 128))
-                            : (s & 64512) === 55296 && ((d = o.charCodeAt(f + 1)) & 64512) === 56320
-                            ? ((s = 65536 + ((s & 1023) << 10) + (d & 1023)),
-                              ++f,
-                              (i[u++] = (s >> 18) | 240),
-                              (i[u++] = ((s >> 12) & 63) | 128),
-                              (i[u++] = ((s >> 6) & 63) | 128),
-                              (i[u++] = (s & 63) | 128))
-                            : ((i[u++] = (s >> 12) | 224), (i[u++] = ((s >> 6) & 63) | 128), (i[u++] = (s & 63) | 128));
-                return u - n;
-            });
-    }),
-    Qs = me((t, e) => {
-        e.exports = o;
-        function o(i, u, n) {
-            var s = n || 8192,
-                d = s >>> 1,
-                f = null,
-                r = s;
-            return function (a) {
-                if (a < 1 || a > d) return i(a);
-                r + a > s && ((f = i(s)), (r = 0));
-                var l = u.call(f, r, (r += a));
-                return r & 7 && (r = (r | 7) + 1), l;
-            };
-        }
-    }),
-    tu = me((t, e) => {
-        e.exports = i;
-        var o = Xt();
-        function i(d, f) {
-            (this.lo = d >>> 0), (this.hi = f >>> 0);
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-            (u.zzEncode = u.zzDecode =
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-                    return this;
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-            (u.length = function () {
-                return 1;
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-            if (d === 0) return u;
-            var f = d < 0;
-            f && (d = -d);
-            var r = d >>> 0,
-                a = ((d - r) / 4294967296) >>> 0;
-            return (
-                f && ((a = ~a >>> 0), (r = ~r >>> 0), ++r > 4294967295 && ((r = 0), ++a > 4294967295 && (a = 0))),
-                new i(r, a)
-            );
-        }),
-            (i.from = function (d) {
-                if (typeof d == 'number') return i.fromNumber(d);
-                if (o.isString(d))
-                    if (o.Long) d = o.Long.fromString(d);
-                    else return i.fromNumber(parseInt(d, 10));
-                return d.low || d.high ? new i(d.low >>> 0, d.high >>> 0) : u;
-            }),
-            (i.prototype.toNumber = function (d) {
-                if (!d && this.hi >>> 31) {
-                    var f = (~this.lo + 1) >>> 0,
-                        r = ~this.hi >>> 0;
-                    return f || (r = (r + 1) >>> 0), -(f + r * 4294967296);
-                }
-                return this.lo + this.hi * 4294967296;
-            }),
-            (i.prototype.toLong = function (d) {
-                return o.Long
-                    ? new o.Long(this.lo | 0, this.hi | 0, !!d)
-                    : { low: this.lo | 0, high: this.hi | 0, unsigned: !!d };
-            });
-        var s = String.prototype.charCodeAt;
-        (i.fromHash = function (d) {
-            return d === n
-                ? u
-                : new i(
-                      (s.call(d, 0) | (s.call(d, 1) << 8) | (s.call(d, 2) << 16) | (s.call(d, 3) << 24)) >>> 0,
-                      (s.call(d, 4) | (s.call(d, 5) << 8) | (s.call(d, 6) << 16) | (s.call(d, 7) << 24)) >>> 0
-                  );
-        }),
-            (i.prototype.toHash = function () {
-                return String.fromCharCode(
-                    this.lo & 255,
-                    (this.lo >>> 8) & 255,
-                    (this.lo >>> 16) & 255,
-                    this.lo >>> 24,
-                    this.hi & 255,
-                    (this.hi >>> 8) & 255,
-                    (this.hi >>> 16) & 255,
-                    this.hi >>> 24
-                );
-            }),
-            (i.prototype.zzEncode = function () {
-                var d = this.hi >> 31;
-                return (
-                    (this.hi = (((this.hi << 1) | (this.lo >>> 31)) ^ d) >>> 0),
-                    (this.lo = ((this.lo << 1) ^ d) >>> 0),
-                    this
-                );
-            }),
-            (i.prototype.zzDecode = function () {
-                var d = -(this.lo & 1);
-                return (
-                    (this.lo = (((this.lo >>> 1) | (this.hi << 31)) ^ d) >>> 0),
-                    (this.hi = ((this.hi >>> 1) ^ d) >>> 0),
-                    this
-                );
-            }),
-            (i.prototype.length = function () {
-                var d = this.lo,
-                    f = ((this.lo >>> 28) | (this.hi << 4)) >>> 0,
-                    r = this.hi >>> 24;
-                return r === 0
-                    ? f === 0
-                        ? d < 16384
-                            ? d < 128
-                                ? 1
-                                : 2
-                            : d < 2097152
-                            ? 3
-                            : 4
-                        : f < 16384
-                        ? f < 128
-                            ? 5
-                            : 6
-                        : f < 2097152
-                        ? 7
-                        : 8
-                    : r < 128
-                    ? 9
-                    : 10;
-            });
-    }),
-    Xt = me((t) => {
-        var e = t;
-        (e.asPromise = ks()),
-            (e.base64 = Ms()),
-            (e.EventEmitter = Us()),
-            (e.float = Ys()),
-            (e.inquire = Xs()),
-            (e.utf8 = Js()),
-            (e.pool = Qs()),
-            (e.LongBits = tu()),
-            (e.isNode = !!(
-                typeof global < 'u' &&
-                global &&
-                global.process &&
-                global.process.versions &&
-                global.process.versions.node
-            )),
-            (e.global = (e.isNode && global) || (typeof window < 'u' && window) || (typeof self < 'u' && self) || t),
-            (e.emptyArray = Object.freeze ? Object.freeze([]) : []),
-            (e.emptyObject = Object.freeze ? Object.freeze({}) : {}),
-            (e.isInteger =
-                Number.isInteger ||
-                function (u) {
-                    return typeof u == 'number' && isFinite(u) && Math.floor(u) === u;
-                }),
-            (e.isString = function (u) {
-                return typeof u == 'string' || u instanceof String;
-            }),
-            (e.isObject = function (u) {
-                return u && typeof u == 'object';
-            }),
-            (e.isset = e.isSet =
-                function (u, n) {
-                    var s = u[n];
-                    return s != null && u.hasOwnProperty(n)
-                        ? typeof s != 'object' || (Array.isArray(s) ? s.length : Object.keys(s).length) > 0
-                        : !1;
-                }),
-            (e.Buffer = (function () {
-                try {
-                    var u = e.inquire('buffer').Buffer;
-                    return u.prototype.utf8Write ? u : null;
-                } catch {
-                    return null;
-                }
-            })()),
-            (e._Buffer_from = null),
-            (e._Buffer_allocUnsafe = null),
-            (e.newBuffer = function (u) {
-                return typeof u == 'number'
-                    ? e.Buffer
-                        ? e._Buffer_allocUnsafe(u)
-                        : new e.Array(u)
-                    : e.Buffer
-                    ? e._Buffer_from(u)
-                    : typeof Uint8Array > 'u'
-                    ? u
-                    : new Uint8Array(u);
-            }),
-            (e.Array = typeof Uint8Array < 'u' ? Uint8Array : Array),
-            (e.Long = (e.global.dcodeIO && e.global.dcodeIO.Long) || e.global.Long || e.inquire('long')),
-            (e.key2Re = /^true|false|0|1$/),
-            (e.key32Re = /^-?(?:0|[1-9][0-9]*)$/),
-            (e.key64Re = /^(?:[\\x00-\\xff]{8}|-?(?:0|[1-9][0-9]*))$/),
-            (e.longToHash = function (u) {
-                return u ? e.LongBits.from(u).toHash() : e.LongBits.zeroHash;
-            }),
-            (e.longFromHash = function (u, n) {
-                var s = e.LongBits.fromHash(u);
-                return e.Long ? e.Long.fromBits(s.lo, s.hi, n) : s.toNumber(!!n);
-            });
-        function o(u, n, s) {
-            for (var d = Object.keys(n), f = 0; f < d.length; ++f) (u[d[f]] === void 0 || !s) && (u[d[f]] = n[d[f]]);
-            return u;
-        }
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-            (e.lcFirst = function (u) {
-                return u.charAt(0).toLowerCase() + u.substring(1);
-            });
-        function i(u) {
-            function n(s, d) {
-                if (!(this instanceof n)) return new n(s, d);
-                Object.defineProperty(this, 'message', {
-                    get: function () {
-                        return s;
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-                }),
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-                    d && o(this, d);
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-                n
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-            (e.oneOfGetter = function (u) {
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-    li = me((t, e) => {
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-                      return new a();
-                  };
-        };
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-            (a.alloc = function (E) {
-                return new o.Array(E);
-            }),
-            o.Array !== Array && (a.alloc = o.pool(a.alloc, o.Array.prototype.subarray)),
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-                    (this.len += (this.tail = this.tail.next =
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-                            (E = E >>> 0) < 128 ? 1 : E < 16384 ? 2 : E < 2097152 ? 3 : E < 268435456 ? 4 : 5,
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-                        )).len),
-                    this
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-        }),
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-            (a.prototype.sint64 = function (E) {
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-                return this._push(T, A.length(), A);
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-        function v(E, A, F) {
-            (A[F] = E & 255), (A[F + 1] = (E >>> 8) & 255), (A[F + 2] = (E >>> 16) & 255), (A[F + 3] = E >>> 24);
-        }
-        (a.prototype.fixed32 = function (E) {
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-            (a.prototype.sfixed32 = a.prototype.fixed32),
-            (a.prototype.fixed64 = function (E) {
-                var A = u.from(E);
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-            }),
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-            (a.prototype.float = function (E) {
-                return this._push(o.float.writeFloatLE, 4, E);
-            }),
-            (a.prototype.double = function (E) {
-                return this._push(o.float.writeDoubleLE, 8, E);
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-                  A.set(E, F);
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-              };
-        (a.prototype.bytes = function (E) {
-            var A = E.length >>> 0;
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-            if (o.isString(E)) {
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-                n.decode(E, F, 0), (E = F);
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-        }),
-            (a.prototype.string = function (E) {
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-            }),
-            (a.prototype.reset = function () {
-                return (
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-                          (this.len = this.states.len),
-                          (this.states = this.states.next))
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-                    this
-                );
-            }),
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-                var E = this.head,
-                    A = this.tail,
-                    F = this.len;
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-            }),
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-                    E.fn(E.val, A, F), (F += E.len), (E = E.next);
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-            }),
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-    }),
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-                (u.writeBytesBuffer =
-                    i.Buffer && i.Buffer.prototype instanceof Uint8Array && i.Buffer.prototype.set.name === 'set'
-                        ? function (s, d, f) {
-                              d.set(s, f);
-                          }
-                        : function (s, d, f) {
-                              if (s.copy) s.copy(d, f, 0, s.length);
-                              else for (var r = 0; r < s.length; ) d[f++] = s[r++];
-                          });
-        }),
-            (u.prototype.bytes = function (s) {
-                i.isString(s) && (s = i._Buffer_from(s, 'base64'));
-                var d = s.length >>> 0;
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-            });
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-            s.length < 40 ? i.utf8.write(s, d, f) : d.utf8Write ? d.utf8Write(s, f) : d.write(s, f);
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-        }
-        function d(m) {
-            (this.buf = m), (this.pos = 0), (this.len = m.length);
-        }
-        var f =
-                typeof Uint8Array < 'u'
-                    ? function (m) {
-                          if (m instanceof Uint8Array || Array.isArray(m)) return new d(m);
-                          throw Error('illegal buffer');
-                      }
-                    : function (m) {
-                          if (Array.isArray(m)) return new d(m);
-                          throw Error('illegal buffer');
-                      },
-            r = function () {
-                return o.Buffer
-                    ? function (m) {
-                          return (d.create = function (y) {
-                              return o.Buffer.isBuffer(y) ? new i(y) : f(y);
-                          })(m);
-                      }
-                    : f;
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-            (d.prototype.uint32 = (function () {
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-                        ((m = (this.buf[this.pos] & 127) >>> 0),
-                        this.buf[this.pos++] < 128 ||
-                            ((m = (m | ((this.buf[this.pos] & 127) << 7)) >>> 0), this.buf[this.pos++] < 128) ||
-                            ((m = (m | ((this.buf[this.pos] & 127) << 14)) >>> 0), this.buf[this.pos++] < 128) ||
-                            ((m = (m | ((this.buf[this.pos] & 127) << 21)) >>> 0), this.buf[this.pos++] < 128) ||
-                            ((m = (m | ((this.buf[this.pos] & 15) << 28)) >>> 0), this.buf[this.pos++] < 128))
-                    )
-                        return m;
-                    if ((this.pos += 5) > this.len) throw ((this.pos = this.len), s(this, 10));
-                    return m;
-                };
-            })()),
-            (d.prototype.int32 = function () {
-                return this.uint32() | 0;
-            }),
-            (d.prototype.sint32 = function () {
-                var m = this.uint32();
-                return ((m >>> 1) ^ -(m & 1)) | 0;
-            });
-        function a() {
-            var m = new u(0, 0),
-                y = 0;
-            if (this.len - this.pos > 4) {
-                for (; y < 4; ++y)
-                    if (((m.lo = (m.lo | ((this.buf[this.pos] & 127) << (y * 7))) >>> 0), this.buf[this.pos++] < 128))
-                        return m;
-                if (
-                    ((m.lo = (m.lo | ((this.buf[this.pos] & 127) << 28)) >>> 0),
-                    (m.hi = (m.hi | ((this.buf[this.pos] & 127) >> 4)) >>> 0),
-                    this.buf[this.pos++] < 128)
-                )
-                    return m;
-                y = 0;
-            } else {
-                for (; y < 3; ++y) {
-                    if (this.pos >= this.len) throw s(this);
-                    if (((m.lo = (m.lo | ((this.buf[this.pos] & 127) << (y * 7))) >>> 0), this.buf[this.pos++] < 128))
-                        return m;
-                }
-                return (m.lo = (m.lo | ((this.buf[this.pos++] & 127) << (y * 7))) >>> 0), m;
-            }
-            if (this.len - this.pos > 4) {
-                for (; y < 5; ++y)
-                    if (
-                        ((m.hi = (m.hi | ((this.buf[this.pos] & 127) << (y * 7 + 3))) >>> 0),
-                        this.buf[this.pos++] < 128)
-                    )
-                        return m;
-            } else
-                for (; y < 5; ++y) {
-                    if (this.pos >= this.len) throw s(this);
-                    if (
-                        ((m.hi = (m.hi | ((this.buf[this.pos] & 127) << (y * 7 + 3))) >>> 0),
-                        this.buf[this.pos++] < 128)
-                    )
-                        return m;
-                }
-            throw Error('invalid varint encoding');
-        }
-        d.prototype.bool = function () {
-            return this.uint32() !== 0;
-        };
-        function l(m, y) {
-            return (m[y - 4] | (m[y - 3] << 8) | (m[y - 2] << 16) | (m[y - 1] << 24)) >>> 0;
-        }
-        (d.prototype.fixed32 = function () {
-            if (this.pos + 4 > this.len) throw s(this, 4);
-            return l(this.buf, (this.pos += 4));
-        }),
-            (d.prototype.sfixed32 = function () {
-                if (this.pos + 4 > this.len) throw s(this, 4);
-                return l(this.buf, (this.pos += 4)) | 0;
-            });
-        function p() {
-            if (this.pos + 8 > this.len) throw s(this, 8);
-            return new u(l(this.buf, (this.pos += 4)), l(this.buf, (this.pos += 4)));
-        }
-        (d.prototype.float = function () {
-            if (this.pos + 4 > this.len) throw s(this, 4);
-            var m = o.float.readFloatLE(this.buf, this.pos);
-            return (this.pos += 4), m;
-        }),
-            (d.prototype.double = function () {
-                if (this.pos + 8 > this.len) throw s(this, 4);
-                var m = o.float.readDoubleLE(this.buf, this.pos);
-                return (this.pos += 8), m;
-            }),
-            (d.prototype.bytes = function () {
-                var m = this.uint32(),
-                    y = this.pos,
-                    T = this.pos + m;
-                if (T > this.len) throw s(this, m);
-                return (
-                    (this.pos += m),
-                    Array.isArray(this.buf)
-                        ? this.buf.slice(y, T)
-                        : y === T
-                        ? new this.buf.constructor(0)
-                        : this._slice.call(this.buf, y, T)
-                );
-            }),
-            (d.prototype.string = function () {
-                var m = this.bytes();
-                return n.read(m, 0, m.length);
-            }),
-            (d.prototype.skip = function (m) {
-                if (typeof m == 'number') {
-                    if (this.pos + m > this.len) throw s(this, m);
-                    this.pos += m;
-                } else
-                    do if (this.pos >= this.len) throw s(this);
-                    while (this.buf[this.pos++] & 128);
-                return this;
-            }),
-            (d.prototype.skipType = function (m) {
-                switch (m) {
-                    case 0:
-                        this.skip();
-                        break;
-                    case 1:
-                        this.skip(8);
-                        break;
-                    case 2:
-                        this.skip(this.uint32());
-                        break;
-                    case 3:
-                        for (; (m = this.uint32() & 7) !== 4; ) this.skipType(m);
-                        break;
-                    case 5:
-                        this.skip(4);
-                        break;
-                    default:
-                        throw Error('invalid wire type ' + m + ' at offset ' + this.pos);
-                }
-                return this;
-            }),
-            (d._configure = function (m) {
-                (i = m), (d.create = r()), i._configure();
-                var y = o.Long ? 'toLong' : 'toNumber';
-                o.merge(d.prototype, {
-                    int64: function () {
-                        return a.call(this)[y](!1);
-                    },
-                    uint64: function () {
-                        return a.call(this)[y](!0);
-                    },
-                    sint64: function () {
-                        return a.call(this).zzDecode()[y](!1);
-                    },
-                    fixed64: function () {
-                        return p.call(this)[y](!0);
-                    },
-                    sfixed64: function () {
-                        return p.call(this)[y](!1);
-                    },
-                });
-            });
-    }),
-    Tu = me((t, e) => {
-        e.exports = u;
-        var o = pi();
-        (u.prototype = Object.create(o.prototype)).constructor = u;
-        var i = Xt();
-        function u(n) {
-            o.call(this, n);
-        }
-        (u._configure = function () {
-            i.Buffer && (u.prototype._slice = i.Buffer.prototype.slice);
-        }),
-            (u.prototype.string = function () {
-                var n = this.uint32();
-                return this.buf.utf8Slice
-                    ? this.buf.utf8Slice(this.pos, (this.pos = Math.min(this.pos + n, this.len)))
-                    : this.buf.toString('utf-8', this.pos, (this.pos = Math.min(this.pos + n, this.len)));
-            }),
-            u._configure();
-    }),
-    vu = me((t, e) => {
-        e.exports = i;
-        var o = Xt();
-        (i.prototype = Object.create(o.EventEmitter.prototype)).constructor = i;
-        function i(u, n, s) {
-            if (typeof u != 'function') throw TypeError('rpcImpl must be a function');
-            o.EventEmitter.call(this),
-                (this.rpcImpl = u),
-                (this.requestDelimited = !!n),
-                (this.responseDelimited = !!s);
-        }
-        (i.prototype.rpcCall = function u(n, s, d, f, r) {
-            if (!f) throw TypeError('request must be specified');
-            var a = this;
-            if (!r) return o.asPromise(u, a, n, s, d, f);
-            if (!a.rpcImpl) {
-                setTimeout(function () {
-                    r(Error('already ended'));
-                }, 0);
-                return;
-            }
-            try {
-                return a.rpcImpl(n, s[a.requestDelimited ? 'encodeDelimited' : 'encode'](f).finish(), function (l, p) {
-                    if (l) return a.emit('error', l, n), r(l);
-                    if (p === null) {
-                        a.end(!0);
-                        return;
-                    }
-                    if (!(p instanceof d))
-                        try {
-                            p = d[a.responseDelimited ? 'decodeDelimited' : 'decode'](p);
-                        } catch (m) {
-                            return a.emit('error', m, n), r(m);
-                        }
-                    return a.emit('data', p, n), r(null, p);
-                });
-            } catch (l) {
-                a.emit('error', l, n),
-                    setTimeout(function () {
-                        r(l);
-                    }, 0);
-                return;
-            }
-        }),
-            (i.prototype.end = function (u) {
-                return (
-                    this.rpcImpl &&
-                        (u || this.rpcImpl(null, null, null), (this.rpcImpl = null), this.emit('end').off()),
-                    this
-                );
-            });
-    }),
-    _u = me((t) => {
-        var e = t;
-        e.Service = vu();
-    }),
-    Iu = me((t, e) => {
-        e.exports = {};
-    }),
-    Pu = me((t) => {
-        var e = t;
-        (e.build = 'minimal'),
-            (e.Writer = li()),
-            (e.BufferWriter = fu()),
-            (e.Reader = pi()),
-            (e.BufferReader = Tu()),
-            (e.util = Xt()),
-            (e.rpc = _u()),
-            (e.roots = Iu()),
-            (e.configure = o);
-        function o() {
-            e.util._configure(), e.Writer._configure(e.BufferWriter), e.Reader._configure(e.BufferReader);
-        }
-        o();
-    }),
-    Du = me((t, e) => {
-        e.exports = Pu();
-    }),
-    $r = me((t, e) => {
-        var o = Du(),
-            i = o.Reader,
-            u = o.Writer,
-            n = o.util,
-            s = o.roots.default || (o.roots.default = {});
-        (s.onnx = (function () {
-            var d = {};
-            return (
-                (d.Version = (function () {
-                    var f = {},
-                        r = Object.create(f);
-                    return (
-                        (r[(f[0] = '_START_VERSION')] = 0),
-                        (r[(f[1] = 'IR_VERSION_2017_10_10')] = 1),
-                        (r[(f[2] = 'IR_VERSION_2017_10_30')] = 2),
-                        (r[(f[3] = 'IR_VERSION_2017_11_3')] = 3),
-                        (r[(f[4] = 'IR_VERSION_2019_1_22')] = 4),
-                        (r[(f[5] = 'IR_VERSION_2019_3_18')] = 5),
-                        (r[(f[6] = 'IR_VERSION_2019_9_19')] = 6),
-                        (r[(f[7] = 'IR_VERSION_2020_5_8')] = 7),
-                        (r[(f[8] = 'IR_VERSION_2021_7_30')] = 8),
-                        (r[(f[9] = 'IR_VERSION')] = 9),
-                        r
-                    );
-                })()),
-                (d.AttributeProto = (function () {
-                    function f(r) {
-                        if (
-                            ((this.floats = []),
-                            (this.ints = []),
-                            (this.strings = []),
-                            (this.tensors = []),
-                            (this.graphs = []),
-                            (this.sparseTensors = []),
-                            (this.typeProtos = []),
-                            r)
-                        )
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.name = ''),
-                        (f.prototype.refAttrName = ''),
-                        (f.prototype.docString = ''),
-                        (f.prototype.type = 0),
-                        (f.prototype.f = 0),
-                        (f.prototype.i = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                        (f.prototype.s = n.newBuffer([])),
-                        (f.prototype.t = null),
-                        (f.prototype.g = null),
-                        (f.prototype.sparseTensor = null),
-                        (f.prototype.tp = null),
-                        (f.prototype.floats = n.emptyArray),
-                        (f.prototype.ints = n.emptyArray),
-                        (f.prototype.strings = n.emptyArray),
-                        (f.prototype.tensors = n.emptyArray),
-                        (f.prototype.graphs = n.emptyArray),
-                        (f.prototype.sparseTensors = n.emptyArray),
-                        (f.prototype.typeProtos = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
-                                r.f != null && Object.hasOwnProperty.call(r, 'f') && a.uint32(21).float(r.f),
-                                r.i != null && Object.hasOwnProperty.call(r, 'i') && a.uint32(24).int64(r.i),
-                                r.s != null && Object.hasOwnProperty.call(r, 's') && a.uint32(34).bytes(r.s),
-                                r.t != null &&
-                                    Object.hasOwnProperty.call(r, 't') &&
-                                    s.onnx.TensorProto.encode(r.t, a.uint32(42).fork()).ldelim(),
-                                r.g != null &&
-                                    Object.hasOwnProperty.call(r, 'g') &&
-                                    s.onnx.GraphProto.encode(r.g, a.uint32(50).fork()).ldelim(),
-                                r.floats != null && r.floats.length)
-                            ) {
-                                a.uint32(58).fork();
-                                for (var l = 0; l < r.floats.length; ++l) a.float(r.floats[l]);
-                                a.ldelim();
-                            }
-                            if (r.ints != null && r.ints.length) {
-                                a.uint32(66).fork();
-                                for (var l = 0; l < r.ints.length; ++l) a.int64(r.ints[l]);
-                                a.ldelim();
-                            }
-                            if (r.strings != null && r.strings.length)
-                                for (var l = 0; l < r.strings.length; ++l) a.uint32(74).bytes(r.strings[l]);
-                            if (r.tensors != null && r.tensors.length)
-                                for (var l = 0; l < r.tensors.length; ++l)
-                                    s.onnx.TensorProto.encode(r.tensors[l], a.uint32(82).fork()).ldelim();
-                            if (r.graphs != null && r.graphs.length)
-                                for (var l = 0; l < r.graphs.length; ++l)
-                                    s.onnx.GraphProto.encode(r.graphs[l], a.uint32(90).fork()).ldelim();
-                            if (
-                                (r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(106).string(r.docString),
-                                r.tp != null &&
-                                    Object.hasOwnProperty.call(r, 'tp') &&
-                                    s.onnx.TypeProto.encode(r.tp, a.uint32(114).fork()).ldelim(),
-                                r.typeProtos != null && r.typeProtos.length)
-                            )
-                                for (var l = 0; l < r.typeProtos.length; ++l)
-                                    s.onnx.TypeProto.encode(r.typeProtos[l], a.uint32(122).fork()).ldelim();
-                            if (
-                                (r.type != null && Object.hasOwnProperty.call(r, 'type') && a.uint32(160).int32(r.type),
-                                r.refAttrName != null &&
-                                    Object.hasOwnProperty.call(r, 'refAttrName') &&
-                                    a.uint32(170).string(r.refAttrName),
-                                r.sparseTensor != null &&
-                                    Object.hasOwnProperty.call(r, 'sparseTensor') &&
-                                    s.onnx.SparseTensorProto.encode(r.sparseTensor, a.uint32(178).fork()).ldelim(),
-                                r.sparseTensors != null && r.sparseTensors.length)
-                            )
-                                for (var l = 0; l < r.sparseTensors.length; ++l)
-                                    s.onnx.SparseTensorProto.encode(r.sparseTensors[l], a.uint32(186).fork()).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.AttributeProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 21: {
-                                        p.refAttrName = r.string();
-                                        break;
-                                    }
-                                    case 13: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    case 20: {
-                                        p.type = r.int32();
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.f = r.float();
-                                        break;
-                                    }
-                                    case 3: {
-                                        p.i = r.int64();
-                                        break;
-                                    }
-                                    case 4: {
-                                        p.s = r.bytes();
-                                        break;
-                                    }
-                                    case 5: {
-                                        p.t = s.onnx.TensorProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 6: {
-                                        p.g = s.onnx.GraphProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 22: {
-                                        p.sparseTensor = s.onnx.SparseTensorProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 14: {
-                                        p.tp = s.onnx.TypeProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 7: {
-                                        if (((p.floats && p.floats.length) || (p.floats = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.floats.push(r.float());
-                                        else p.floats.push(r.float());
-                                        break;
-                                    }
-                                    case 8: {
-                                        if (((p.ints && p.ints.length) || (p.ints = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.ints.push(r.int64());
-                                        else p.ints.push(r.int64());
-                                        break;
-                                    }
-                                    case 9: {
-                                        (p.strings && p.strings.length) || (p.strings = []), p.strings.push(r.bytes());
-                                        break;
-                                    }
-                                    case 10: {
-                                        (p.tensors && p.tensors.length) || (p.tensors = []),
-                                            p.tensors.push(s.onnx.TensorProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 11: {
-                                        (p.graphs && p.graphs.length) || (p.graphs = []),
-                                            p.graphs.push(s.onnx.GraphProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 23: {
-                                        (p.sparseTensors && p.sparseTensors.length) || (p.sparseTensors = []),
-                                            p.sparseTensors.push(s.onnx.SparseTensorProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 15: {
-                                        (p.typeProtos && p.typeProtos.length) || (p.typeProtos = []),
-                                            p.typeProtos.push(s.onnx.TypeProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.refAttrName != null && r.hasOwnProperty('refAttrName') && !n.isString(r.refAttrName))
-                                return 'refAttrName: string expected';
-                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
-                                return 'docString: string expected';
-                            if (r.type != null && r.hasOwnProperty('type'))
-                                switch (r.type) {
-                                    default:
-                                        return 'type: enum value expected';
-                                    case 0:
-                                    case 1:
-                                    case 2:
-                                    case 3:
-                                    case 4:
-                                    case 5:
-                                    case 11:
-                                    case 13:
-                                    case 6:
-                                    case 7:
-                                    case 8:
-                                    case 9:
-                                    case 10:
-                                    case 12:
-                                    case 14:
-                                        break;
-                                }
-                            if (r.f != null && r.hasOwnProperty('f') && typeof r.f != 'number')
-                                return 'f: number expected';
-                            if (
-                                r.i != null &&
-                                r.hasOwnProperty('i') &&
-                                !n.isInteger(r.i) &&
-                                !(r.i && n.isInteger(r.i.low) && n.isInteger(r.i.high))
-                            )
-                                return 'i: integer|Long expected';
-                            if (
-                                r.s != null &&
-                                r.hasOwnProperty('s') &&
-                                !((r.s && typeof r.s.length == 'number') || n.isString(r.s))
-                            )
-                                return 's: buffer expected';
-                            if (r.t != null && r.hasOwnProperty('t')) {
-                                var a = s.onnx.TensorProto.verify(r.t);
-                                if (a) return 't.' + a;
-                            }
-                            if (r.g != null && r.hasOwnProperty('g')) {
-                                var a = s.onnx.GraphProto.verify(r.g);
-                                if (a) return 'g.' + a;
-                            }
-                            if (r.sparseTensor != null && r.hasOwnProperty('sparseTensor')) {
-                                var a = s.onnx.SparseTensorProto.verify(r.sparseTensor);
-                                if (a) return 'sparseTensor.' + a;
-                            }
-                            if (r.tp != null && r.hasOwnProperty('tp')) {
-                                var a = s.onnx.TypeProto.verify(r.tp);
-                                if (a) return 'tp.' + a;
-                            }
-                            if (r.floats != null && r.hasOwnProperty('floats')) {
-                                if (!Array.isArray(r.floats)) return 'floats: array expected';
-                                for (var l = 0; l < r.floats.length; ++l)
-                                    if (typeof r.floats[l] != 'number') return 'floats: number[] expected';
-                            }
-                            if (r.ints != null && r.hasOwnProperty('ints')) {
-                                if (!Array.isArray(r.ints)) return 'ints: array expected';
-                                for (var l = 0; l < r.ints.length; ++l)
-                                    if (
-                                        !n.isInteger(r.ints[l]) &&
-                                        !(r.ints[l] && n.isInteger(r.ints[l].low) && n.isInteger(r.ints[l].high))
-                                    )
-                                        return 'ints: integer|Long[] expected';
-                            }
-                            if (r.strings != null && r.hasOwnProperty('strings')) {
-                                if (!Array.isArray(r.strings)) return 'strings: array expected';
-                                for (var l = 0; l < r.strings.length; ++l)
-                                    if (
-                                        !(
-                                            (r.strings[l] && typeof r.strings[l].length == 'number') ||
-                                            n.isString(r.strings[l])
-                                        )
-                                    )
-                                        return 'strings: buffer[] expected';
-                            }
-                            if (r.tensors != null && r.hasOwnProperty('tensors')) {
-                                if (!Array.isArray(r.tensors)) return 'tensors: array expected';
-                                for (var l = 0; l < r.tensors.length; ++l) {
-                                    var a = s.onnx.TensorProto.verify(r.tensors[l]);
-                                    if (a) return 'tensors.' + a;
-                                }
-                            }
-                            if (r.graphs != null && r.hasOwnProperty('graphs')) {
-                                if (!Array.isArray(r.graphs)) return 'graphs: array expected';
-                                for (var l = 0; l < r.graphs.length; ++l) {
-                                    var a = s.onnx.GraphProto.verify(r.graphs[l]);
-                                    if (a) return 'graphs.' + a;
-                                }
-                            }
-                            if (r.sparseTensors != null && r.hasOwnProperty('sparseTensors')) {
-                                if (!Array.isArray(r.sparseTensors)) return 'sparseTensors: array expected';
-                                for (var l = 0; l < r.sparseTensors.length; ++l) {
-                                    var a = s.onnx.SparseTensorProto.verify(r.sparseTensors[l]);
-                                    if (a) return 'sparseTensors.' + a;
-                                }
-                            }
-                            if (r.typeProtos != null && r.hasOwnProperty('typeProtos')) {
-                                if (!Array.isArray(r.typeProtos)) return 'typeProtos: array expected';
-                                for (var l = 0; l < r.typeProtos.length; ++l) {
-                                    var a = s.onnx.TypeProto.verify(r.typeProtos[l]);
-                                    if (a) return 'typeProtos.' + a;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.AttributeProto) return r;
-                            var a = new s.onnx.AttributeProto();
-                            switch (
-                                (r.name != null && (a.name = String(r.name)),
-                                r.refAttrName != null && (a.refAttrName = String(r.refAttrName)),
-                                r.docString != null && (a.docString = String(r.docString)),
-                                r.type)
-                            ) {
-                                default:
-                                    if (typeof r.type == 'number') {
-                                        a.type = r.type;
-                                        break;
-                                    }
-                                    break;
-                                case 'UNDEFINED':
-                                case 0:
-                                    a.type = 0;
-                                    break;
-                                case 'FLOAT':
-                                case 1:
-                                    a.type = 1;
-                                    break;
-                                case 'INT':
-                                case 2:
-                                    a.type = 2;
-                                    break;
-                                case 'STRING':
-                                case 3:
-                                    a.type = 3;
-                                    break;
-                                case 'TENSOR':
-                                case 4:
-                                    a.type = 4;
-                                    break;
-                                case 'GRAPH':
-                                case 5:
-                                    a.type = 5;
-                                    break;
-                                case 'SPARSE_TENSOR':
-                                case 11:
-                                    a.type = 11;
-                                    break;
-                                case 'TYPE_PROTO':
-                                case 13:
-                                    a.type = 13;
-                                    break;
-                                case 'FLOATS':
-                                case 6:
-                                    a.type = 6;
-                                    break;
-                                case 'INTS':
-                                case 7:
-                                    a.type = 7;
-                                    break;
-                                case 'STRINGS':
-                                case 8:
-                                    a.type = 8;
-                                    break;
-                                case 'TENSORS':
-                                case 9:
-                                    a.type = 9;
-                                    break;
-                                case 'GRAPHS':
-                                case 10:
-                                    a.type = 10;
-                                    break;
-                                case 'SPARSE_TENSORS':
-                                case 12:
-                                    a.type = 12;
-                                    break;
-                                case 'TYPE_PROTOS':
-                                case 14:
-                                    a.type = 14;
-                                    break;
-                            }
-                            if (
-                                (r.f != null && (a.f = Number(r.f)),
-                                r.i != null &&
-                                    (n.Long
-                                        ? ((a.i = n.Long.fromValue(r.i)).unsigned = !1)
-                                        : typeof r.i == 'string'
-                                        ? (a.i = parseInt(r.i, 10))
-                                        : typeof r.i == 'number'
-                                        ? (a.i = r.i)
-                                        : typeof r.i == 'object' &&
-                                          (a.i = new n.LongBits(r.i.low >>> 0, r.i.high >>> 0).toNumber())),
-                                r.s != null &&
-                                    (typeof r.s == 'string'
-                                        ? n.base64.decode(r.s, (a.s = n.newBuffer(n.base64.length(r.s))), 0)
-                                        : r.s.length >= 0 && (a.s = r.s)),
-                                r.t != null)
-                            ) {
-                                if (typeof r.t != 'object') throw TypeError('.onnx.AttributeProto.t: object expected');
-                                a.t = s.onnx.TensorProto.fromObject(r.t);
-                            }
-                            if (r.g != null) {
-                                if (typeof r.g != 'object') throw TypeError('.onnx.AttributeProto.g: object expected');
-                                a.g = s.onnx.GraphProto.fromObject(r.g);
-                            }
-                            if (r.sparseTensor != null) {
-                                if (typeof r.sparseTensor != 'object')
-                                    throw TypeError('.onnx.AttributeProto.sparseTensor: object expected');
-                                a.sparseTensor = s.onnx.SparseTensorProto.fromObject(r.sparseTensor);
-                            }
-                            if (r.tp != null) {
-                                if (typeof r.tp != 'object')
-                                    throw TypeError('.onnx.AttributeProto.tp: object expected');
-                                a.tp = s.onnx.TypeProto.fromObject(r.tp);
-                            }
-                            if (r.floats) {
-                                if (!Array.isArray(r.floats))
-                                    throw TypeError('.onnx.AttributeProto.floats: array expected');
-                                a.floats = [];
-                                for (var l = 0; l < r.floats.length; ++l) a.floats[l] = Number(r.floats[l]);
-                            }
-                            if (r.ints) {
-                                if (!Array.isArray(r.ints))
-                                    throw TypeError('.onnx.AttributeProto.ints: array expected');
-                                a.ints = [];
-                                for (var l = 0; l < r.ints.length; ++l)
-                                    n.Long
-                                        ? ((a.ints[l] = n.Long.fromValue(r.ints[l])).unsigned = !1)
-                                        : typeof r.ints[l] == 'string'
-                                        ? (a.ints[l] = parseInt(r.ints[l], 10))
-                                        : typeof r.ints[l] == 'number'
-                                        ? (a.ints[l] = r.ints[l])
-                                        : typeof r.ints[l] == 'object' &&
-                                          (a.ints[l] = new n.LongBits(
-                                              r.ints[l].low >>> 0,
-                                              r.ints[l].high >>> 0
-                                          ).toNumber());
-                            }
-                            if (r.strings) {
-                                if (!Array.isArray(r.strings))
-                                    throw TypeError('.onnx.AttributeProto.strings: array expected');
-                                a.strings = [];
-                                for (var l = 0; l < r.strings.length; ++l)
-                                    typeof r.strings[l] == 'string'
-                                        ? n.base64.decode(
-                                              r.strings[l],
-                                              (a.strings[l] = n.newBuffer(n.base64.length(r.strings[l]))),
-                                              0
-                                          )
-                                        : r.strings[l].length >= 0 && (a.strings[l] = r.strings[l]);
-                            }
-                            if (r.tensors) {
-                                if (!Array.isArray(r.tensors))
-                                    throw TypeError('.onnx.AttributeProto.tensors: array expected');
-                                a.tensors = [];
-                                for (var l = 0; l < r.tensors.length; ++l) {
-                                    if (typeof r.tensors[l] != 'object')
-                                        throw TypeError('.onnx.AttributeProto.tensors: object expected');
-                                    a.tensors[l] = s.onnx.TensorProto.fromObject(r.tensors[l]);
-                                }
-                            }
-                            if (r.graphs) {
-                                if (!Array.isArray(r.graphs))
-                                    throw TypeError('.onnx.AttributeProto.graphs: array expected');
-                                a.graphs = [];
-                                for (var l = 0; l < r.graphs.length; ++l) {
-                                    if (typeof r.graphs[l] != 'object')
-                                        throw TypeError('.onnx.AttributeProto.graphs: object expected');
-                                    a.graphs[l] = s.onnx.GraphProto.fromObject(r.graphs[l]);
-                                }
-                            }
-                            if (r.sparseTensors) {
-                                if (!Array.isArray(r.sparseTensors))
-                                    throw TypeError('.onnx.AttributeProto.sparseTensors: array expected');
-                                a.sparseTensors = [];
-                                for (var l = 0; l < r.sparseTensors.length; ++l) {
-                                    if (typeof r.sparseTensors[l] != 'object')
-                                        throw TypeError('.onnx.AttributeProto.sparseTensors: object expected');
-                                    a.sparseTensors[l] = s.onnx.SparseTensorProto.fromObject(r.sparseTensors[l]);
-                                }
-                            }
-                            if (r.typeProtos) {
-                                if (!Array.isArray(r.typeProtos))
-                                    throw TypeError('.onnx.AttributeProto.typeProtos: array expected');
-                                a.typeProtos = [];
-                                for (var l = 0; l < r.typeProtos.length; ++l) {
-                                    if (typeof r.typeProtos[l] != 'object')
-                                        throw TypeError('.onnx.AttributeProto.typeProtos: object expected');
-                                    a.typeProtos[l] = s.onnx.TypeProto.fromObject(r.typeProtos[l]);
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) &&
-                                    ((l.floats = []),
-                                    (l.ints = []),
-                                    (l.strings = []),
-                                    (l.tensors = []),
-                                    (l.graphs = []),
-                                    (l.typeProtos = []),
-                                    (l.sparseTensors = [])),
-                                a.defaults)
-                            ) {
-                                if (((l.name = ''), (l.f = 0), n.Long)) {
-                                    var p = new n.Long(0, 0, !1);
-                                    l.i = a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
-                                } else l.i = a.longs === String ? '0' : 0;
-                                a.bytes === String
-                                    ? (l.s = '')
-                                    : ((l.s = []), a.bytes !== Array && (l.s = n.newBuffer(l.s))),
-                                    (l.t = null),
-                                    (l.g = null),
-                                    (l.docString = ''),
-                                    (l.tp = null),
-                                    (l.type = a.enums === String ? 'UNDEFINED' : 0),
-                                    (l.refAttrName = ''),
-                                    (l.sparseTensor = null);
-                            }
-                            if (
-                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.f != null &&
-                                    r.hasOwnProperty('f') &&
-                                    (l.f = a.json && !isFinite(r.f) ? String(r.f) : r.f),
-                                r.i != null &&
-                                    r.hasOwnProperty('i') &&
-                                    (typeof r.i == 'number'
-                                        ? (l.i = a.longs === String ? String(r.i) : r.i)
-                                        : (l.i =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.i)
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(r.i.low >>> 0, r.i.high >>> 0).toNumber()
-                                                  : r.i)),
-                                r.s != null &&
-                                    r.hasOwnProperty('s') &&
-                                    (l.s =
-                                        a.bytes === String
-                                            ? n.base64.encode(r.s, 0, r.s.length)
-                                            : a.bytes === Array
-                                            ? Array.prototype.slice.call(r.s)
-                                            : r.s),
-                                r.t != null && r.hasOwnProperty('t') && (l.t = s.onnx.TensorProto.toObject(r.t, a)),
-                                r.g != null && r.hasOwnProperty('g') && (l.g = s.onnx.GraphProto.toObject(r.g, a)),
-                                r.floats && r.floats.length)
-                            ) {
-                                l.floats = [];
-                                for (var m = 0; m < r.floats.length; ++m)
-                                    l.floats[m] = a.json && !isFinite(r.floats[m]) ? String(r.floats[m]) : r.floats[m];
-                            }
-                            if (r.ints && r.ints.length) {
-                                l.ints = [];
-                                for (var m = 0; m < r.ints.length; ++m)
-                                    typeof r.ints[m] == 'number'
-                                        ? (l.ints[m] = a.longs === String ? String(r.ints[m]) : r.ints[m])
-                                        : (l.ints[m] =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.ints[m])
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(r.ints[m].low >>> 0, r.ints[m].high >>> 0).toNumber()
-                                                  : r.ints[m]);
-                            }
-                            if (r.strings && r.strings.length) {
-                                l.strings = [];
-                                for (var m = 0; m < r.strings.length; ++m)
-                                    l.strings[m] =
-                                        a.bytes === String
-                                            ? n.base64.encode(r.strings[m], 0, r.strings[m].length)
-                                            : a.bytes === Array
-                                            ? Array.prototype.slice.call(r.strings[m])
-                                            : r.strings[m];
-                            }
-                            if (r.tensors && r.tensors.length) {
-                                l.tensors = [];
-                                for (var m = 0; m < r.tensors.length; ++m)
-                                    l.tensors[m] = s.onnx.TensorProto.toObject(r.tensors[m], a);
-                            }
-                            if (r.graphs && r.graphs.length) {
-                                l.graphs = [];
-                                for (var m = 0; m < r.graphs.length; ++m)
-                                    l.graphs[m] = s.onnx.GraphProto.toObject(r.graphs[m], a);
-                            }
-                            if (
-                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.tp != null && r.hasOwnProperty('tp') && (l.tp = s.onnx.TypeProto.toObject(r.tp, a)),
-                                r.typeProtos && r.typeProtos.length)
-                            ) {
-                                l.typeProtos = [];
-                                for (var m = 0; m < r.typeProtos.length; ++m)
-                                    l.typeProtos[m] = s.onnx.TypeProto.toObject(r.typeProtos[m], a);
-                            }
-                            if (
-                                (r.type != null &&
-                                    r.hasOwnProperty('type') &&
-                                    (l.type =
-                                        a.enums === String
-                                            ? s.onnx.AttributeProto.AttributeType[r.type] === void 0
-                                                ? r.type
-                                                : s.onnx.AttributeProto.AttributeType[r.type]
-                                            : r.type),
-                                r.refAttrName != null &&
-                                    r.hasOwnProperty('refAttrName') &&
-                                    (l.refAttrName = r.refAttrName),
-                                r.sparseTensor != null &&
-                                    r.hasOwnProperty('sparseTensor') &&
-                                    (l.sparseTensor = s.onnx.SparseTensorProto.toObject(r.sparseTensor, a)),
-                                r.sparseTensors && r.sparseTensors.length)
-                            ) {
-                                l.sparseTensors = [];
-                                for (var m = 0; m < r.sparseTensors.length; ++m)
-                                    l.sparseTensors[m] = s.onnx.SparseTensorProto.toObject(r.sparseTensors[m], a);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.AttributeProto';
-                        }),
-                        (f.AttributeType = (function () {
-                            var r = {},
-                                a = Object.create(r);
-                            return (
-                                (a[(r[0] = 'UNDEFINED')] = 0),
-                                (a[(r[1] = 'FLOAT')] = 1),
-                                (a[(r[2] = 'INT')] = 2),
-                                (a[(r[3] = 'STRING')] = 3),
-                                (a[(r[4] = 'TENSOR')] = 4),
-                                (a[(r[5] = 'GRAPH')] = 5),
-                                (a[(r[11] = 'SPARSE_TENSOR')] = 11),
-                                (a[(r[13] = 'TYPE_PROTO')] = 13),
-                                (a[(r[6] = 'FLOATS')] = 6),
-                                (a[(r[7] = 'INTS')] = 7),
-                                (a[(r[8] = 'STRINGS')] = 8),
-                                (a[(r[9] = 'TENSORS')] = 9),
-                                (a[(r[10] = 'GRAPHS')] = 10),
-                                (a[(r[12] = 'SPARSE_TENSORS')] = 12),
-                                (a[(r[14] = 'TYPE_PROTOS')] = 14),
-                                a
-                            );
-                        })()),
-                        f
-                    );
-                })()),
-                (d.ValueInfoProto = (function () {
-                    function f(r) {
-                        if (r)
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.name = ''),
-                        (f.prototype.type = null),
-                        (f.prototype.docString = ''),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            return (
-                                a || (a = u.create()),
-                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
-                                r.type != null &&
-                                    Object.hasOwnProperty.call(r, 'type') &&
-                                    s.onnx.TypeProto.encode(r.type, a.uint32(18).fork()).ldelim(),
-                                r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(26).string(r.docString),
-                                a
-                            );
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.ValueInfoProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.type = s.onnx.TypeProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 3: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.type != null && r.hasOwnProperty('type')) {
-                                var a = s.onnx.TypeProto.verify(r.type);
-                                if (a) return 'type.' + a;
-                            }
-                            return r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString)
-                                ? 'docString: string expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.ValueInfoProto) return r;
-                            var a = new s.onnx.ValueInfoProto();
-                            if ((r.name != null && (a.name = String(r.name)), r.type != null)) {
-                                if (typeof r.type != 'object')
-                                    throw TypeError('.onnx.ValueInfoProto.type: object expected');
-                                a.type = s.onnx.TypeProto.fromObject(r.type);
-                            }
-                            return r.docString != null && (a.docString = String(r.docString)), a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            return (
-                                a.defaults && ((l.name = ''), (l.type = null), (l.docString = '')),
-                                r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.type != null &&
-                                    r.hasOwnProperty('type') &&
-                                    (l.type = s.onnx.TypeProto.toObject(r.type, a)),
-                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                l
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.ValueInfoProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.NodeProto = (function () {
-                    function f(r) {
-                        if (((this.input = []), (this.output = []), (this.attribute = []), r))
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.input = n.emptyArray),
-                        (f.prototype.output = n.emptyArray),
-                        (f.prototype.name = ''),
-                        (f.prototype.opType = ''),
-                        (f.prototype.domain = ''),
-                        (f.prototype.attribute = n.emptyArray),
-                        (f.prototype.docString = ''),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if ((a || (a = u.create()), r.input != null && r.input.length))
-                                for (var l = 0; l < r.input.length; ++l) a.uint32(10).string(r.input[l]);
-                            if (r.output != null && r.output.length)
-                                for (var l = 0; l < r.output.length; ++l) a.uint32(18).string(r.output[l]);
-                            if (
-                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(26).string(r.name),
-                                r.opType != null &&
-                                    Object.hasOwnProperty.call(r, 'opType') &&
-                                    a.uint32(34).string(r.opType),
-                                r.attribute != null && r.attribute.length)
-                            )
-                                for (var l = 0; l < r.attribute.length; ++l)
-                                    s.onnx.AttributeProto.encode(r.attribute[l], a.uint32(42).fork()).ldelim();
-                            return (
-                                r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(50).string(r.docString),
-                                r.domain != null &&
-                                    Object.hasOwnProperty.call(r, 'domain') &&
-                                    a.uint32(58).string(r.domain),
-                                a
-                            );
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.NodeProto(); r.pos < l; ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        (p.input && p.input.length) || (p.input = []), p.input.push(r.string());
-                                        break;
-                                    }
-                                    case 2: {
-                                        (p.output && p.output.length) || (p.output = []), p.output.push(r.string());
-                                        break;
-                                    }
-                                    case 3: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 4: {
-                                        p.opType = r.string();
-                                        break;
-                                    }
-                                    case 7: {
-                                        p.domain = r.string();
-                                        break;
-                                    }
-                                    case 5: {
-                                        (p.attribute && p.attribute.length) || (p.attribute = []),
-                                            p.attribute.push(s.onnx.AttributeProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 6: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.input != null && r.hasOwnProperty('input')) {
-                                if (!Array.isArray(r.input)) return 'input: array expected';
-                                for (var a = 0; a < r.input.length; ++a)
-                                    if (!n.isString(r.input[a])) return 'input: string[] expected';
-                            }
-                            if (r.output != null && r.hasOwnProperty('output')) {
-                                if (!Array.isArray(r.output)) return 'output: array expected';
-                                for (var a = 0; a < r.output.length; ++a)
-                                    if (!n.isString(r.output[a])) return 'output: string[] expected';
-                            }
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.opType != null && r.hasOwnProperty('opType') && !n.isString(r.opType))
-                                return 'opType: string expected';
-                            if (r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain))
-                                return 'domain: string expected';
-                            if (r.attribute != null && r.hasOwnProperty('attribute')) {
-                                if (!Array.isArray(r.attribute)) return 'attribute: array expected';
-                                for (var a = 0; a < r.attribute.length; ++a) {
-                                    var l = s.onnx.AttributeProto.verify(r.attribute[a]);
-                                    if (l) return 'attribute.' + l;
-                                }
-                            }
-                            return r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString)
-                                ? 'docString: string expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.NodeProto) return r;
-                            var a = new s.onnx.NodeProto();
-                            if (r.input) {
-                                if (!Array.isArray(r.input)) throw TypeError('.onnx.NodeProto.input: array expected');
-                                a.input = [];
-                                for (var l = 0; l < r.input.length; ++l) a.input[l] = String(r.input[l]);
-                            }
-                            if (r.output) {
-                                if (!Array.isArray(r.output)) throw TypeError('.onnx.NodeProto.output: array expected');
-                                a.output = [];
-                                for (var l = 0; l < r.output.length; ++l) a.output[l] = String(r.output[l]);
-                            }
-                            if (
-                                (r.name != null && (a.name = String(r.name)),
-                                r.opType != null && (a.opType = String(r.opType)),
-                                r.domain != null && (a.domain = String(r.domain)),
-                                r.attribute)
-                            ) {
-                                if (!Array.isArray(r.attribute))
-                                    throw TypeError('.onnx.NodeProto.attribute: array expected');
-                                a.attribute = [];
-                                for (var l = 0; l < r.attribute.length; ++l) {
-                                    if (typeof r.attribute[l] != 'object')
-                                        throw TypeError('.onnx.NodeProto.attribute: object expected');
-                                    a.attribute[l] = s.onnx.AttributeProto.fromObject(r.attribute[l]);
-                                }
-                            }
-                            return r.docString != null && (a.docString = String(r.docString)), a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) && ((l.input = []), (l.output = []), (l.attribute = [])),
-                                a.defaults && ((l.name = ''), (l.opType = ''), (l.docString = ''), (l.domain = '')),
-                                r.input && r.input.length)
-                            ) {
-                                l.input = [];
-                                for (var p = 0; p < r.input.length; ++p) l.input[p] = r.input[p];
-                            }
-                            if (r.output && r.output.length) {
-                                l.output = [];
-                                for (var p = 0; p < r.output.length; ++p) l.output[p] = r.output[p];
-                            }
-                            if (
-                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.opType != null && r.hasOwnProperty('opType') && (l.opType = r.opType),
-                                r.attribute && r.attribute.length)
-                            ) {
-                                l.attribute = [];
-                                for (var p = 0; p < r.attribute.length; ++p)
-                                    l.attribute[p] = s.onnx.AttributeProto.toObject(r.attribute[p], a);
-                            }
-                            return (
-                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
-                                l
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.NodeProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.TrainingInfoProto = (function () {
-                    function f(r) {
-                        if (((this.initializationBinding = []), (this.updateBinding = []), r))
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.initialization = null),
-                        (f.prototype.algorithm = null),
-                        (f.prototype.initializationBinding = n.emptyArray),
-                        (f.prototype.updateBinding = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.initialization != null &&
-                                    Object.hasOwnProperty.call(r, 'initialization') &&
-                                    s.onnx.GraphProto.encode(r.initialization, a.uint32(10).fork()).ldelim(),
-                                r.algorithm != null &&
-                                    Object.hasOwnProperty.call(r, 'algorithm') &&
-                                    s.onnx.GraphProto.encode(r.algorithm, a.uint32(18).fork()).ldelim(),
-                                r.initializationBinding != null && r.initializationBinding.length)
-                            )
-                                for (var l = 0; l < r.initializationBinding.length; ++l)
-                                    s.onnx.StringStringEntryProto.encode(
-                                        r.initializationBinding[l],
-                                        a.uint32(26).fork()
-                                    ).ldelim();
-                            if (r.updateBinding != null && r.updateBinding.length)
-                                for (var l = 0; l < r.updateBinding.length; ++l)
-                                    s.onnx.StringStringEntryProto.encode(
-                                        r.updateBinding[l],
-                                        a.uint32(34).fork()
-                                    ).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TrainingInfoProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.initialization = s.onnx.GraphProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.algorithm = s.onnx.GraphProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 3: {
-                                        (p.initializationBinding && p.initializationBinding.length) ||
-                                            (p.initializationBinding = []),
-                                            p.initializationBinding.push(
-                                                s.onnx.StringStringEntryProto.decode(r, r.uint32())
-                                            );
-                                        break;
-                                    }
-                                    case 4: {
-                                        (p.updateBinding && p.updateBinding.length) || (p.updateBinding = []),
-                                            p.updateBinding.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.initialization != null && r.hasOwnProperty('initialization')) {
-                                var a = s.onnx.GraphProto.verify(r.initialization);
-                                if (a) return 'initialization.' + a;
-                            }
-                            if (r.algorithm != null && r.hasOwnProperty('algorithm')) {
-                                var a = s.onnx.GraphProto.verify(r.algorithm);
-                                if (a) return 'algorithm.' + a;
-                            }
-                            if (r.initializationBinding != null && r.hasOwnProperty('initializationBinding')) {
-                                if (!Array.isArray(r.initializationBinding))
-                                    return 'initializationBinding: array expected';
-                                for (var l = 0; l < r.initializationBinding.length; ++l) {
-                                    var a = s.onnx.StringStringEntryProto.verify(r.initializationBinding[l]);
-                                    if (a) return 'initializationBinding.' + a;
-                                }
-                            }
-                            if (r.updateBinding != null && r.hasOwnProperty('updateBinding')) {
-                                if (!Array.isArray(r.updateBinding)) return 'updateBinding: array expected';
-                                for (var l = 0; l < r.updateBinding.length; ++l) {
-                                    var a = s.onnx.StringStringEntryProto.verify(r.updateBinding[l]);
-                                    if (a) return 'updateBinding.' + a;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.TrainingInfoProto) return r;
-                            var a = new s.onnx.TrainingInfoProto();
-                            if (r.initialization != null) {
-                                if (typeof r.initialization != 'object')
-                                    throw TypeError('.onnx.TrainingInfoProto.initialization: object expected');
-                                a.initialization = s.onnx.GraphProto.fromObject(r.initialization);
-                            }
-                            if (r.algorithm != null) {
-                                if (typeof r.algorithm != 'object')
-                                    throw TypeError('.onnx.TrainingInfoProto.algorithm: object expected');
-                                a.algorithm = s.onnx.GraphProto.fromObject(r.algorithm);
-                            }
-                            if (r.initializationBinding) {
-                                if (!Array.isArray(r.initializationBinding))
-                                    throw TypeError('.onnx.TrainingInfoProto.initializationBinding: array expected');
-                                a.initializationBinding = [];
-                                for (var l = 0; l < r.initializationBinding.length; ++l) {
-                                    if (typeof r.initializationBinding[l] != 'object')
-                                        throw TypeError(
-                                            '.onnx.TrainingInfoProto.initializationBinding: object expected'
-                                        );
-                                    a.initializationBinding[l] = s.onnx.StringStringEntryProto.fromObject(
-                                        r.initializationBinding[l]
-                                    );
-                                }
-                            }
-                            if (r.updateBinding) {
-                                if (!Array.isArray(r.updateBinding))
-                                    throw TypeError('.onnx.TrainingInfoProto.updateBinding: array expected');
-                                a.updateBinding = [];
-                                for (var l = 0; l < r.updateBinding.length; ++l) {
-                                    if (typeof r.updateBinding[l] != 'object')
-                                        throw TypeError('.onnx.TrainingInfoProto.updateBinding: object expected');
-                                    a.updateBinding[l] = s.onnx.StringStringEntryProto.fromObject(r.updateBinding[l]);
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) && ((l.initializationBinding = []), (l.updateBinding = [])),
-                                a.defaults && ((l.initialization = null), (l.algorithm = null)),
-                                r.initialization != null &&
-                                    r.hasOwnProperty('initialization') &&
-                                    (l.initialization = s.onnx.GraphProto.toObject(r.initialization, a)),
-                                r.algorithm != null &&
-                                    r.hasOwnProperty('algorithm') &&
-                                    (l.algorithm = s.onnx.GraphProto.toObject(r.algorithm, a)),
-                                r.initializationBinding && r.initializationBinding.length)
-                            ) {
-                                l.initializationBinding = [];
-                                for (var p = 0; p < r.initializationBinding.length; ++p)
-                                    l.initializationBinding[p] = s.onnx.StringStringEntryProto.toObject(
-                                        r.initializationBinding[p],
-                                        a
-                                    );
-                            }
-                            if (r.updateBinding && r.updateBinding.length) {
-                                l.updateBinding = [];
-                                for (var p = 0; p < r.updateBinding.length; ++p)
-                                    l.updateBinding[p] = s.onnx.StringStringEntryProto.toObject(r.updateBinding[p], a);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TrainingInfoProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.ModelProto = (function () {
-                    function f(r) {
-                        if (
-                            ((this.opsetImport = []),
-                            (this.metadataProps = []),
-                            (this.trainingInfo = []),
-                            (this.functions = []),
-                            r)
-                        )
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.irVersion = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                        (f.prototype.opsetImport = n.emptyArray),
-                        (f.prototype.producerName = ''),
-                        (f.prototype.producerVersion = ''),
-                        (f.prototype.domain = ''),
-                        (f.prototype.modelVersion = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                        (f.prototype.docString = ''),
-                        (f.prototype.graph = null),
-                        (f.prototype.metadataProps = n.emptyArray),
-                        (f.prototype.trainingInfo = n.emptyArray),
-                        (f.prototype.functions = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.irVersion != null &&
-                                    Object.hasOwnProperty.call(r, 'irVersion') &&
-                                    a.uint32(8).int64(r.irVersion),
-                                r.producerName != null &&
-                                    Object.hasOwnProperty.call(r, 'producerName') &&
-                                    a.uint32(18).string(r.producerName),
-                                r.producerVersion != null &&
-                                    Object.hasOwnProperty.call(r, 'producerVersion') &&
-                                    a.uint32(26).string(r.producerVersion),
-                                r.domain != null &&
-                                    Object.hasOwnProperty.call(r, 'domain') &&
-                                    a.uint32(34).string(r.domain),
-                                r.modelVersion != null &&
-                                    Object.hasOwnProperty.call(r, 'modelVersion') &&
-                                    a.uint32(40).int64(r.modelVersion),
-                                r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(50).string(r.docString),
-                                r.graph != null &&
-                                    Object.hasOwnProperty.call(r, 'graph') &&
-                                    s.onnx.GraphProto.encode(r.graph, a.uint32(58).fork()).ldelim(),
-                                r.opsetImport != null && r.opsetImport.length)
-                            )
-                                for (var l = 0; l < r.opsetImport.length; ++l)
-                                    s.onnx.OperatorSetIdProto.encode(r.opsetImport[l], a.uint32(66).fork()).ldelim();
-                            if (r.metadataProps != null && r.metadataProps.length)
-                                for (var l = 0; l < r.metadataProps.length; ++l)
-                                    s.onnx.StringStringEntryProto.encode(
-                                        r.metadataProps[l],
-                                        a.uint32(114).fork()
-                                    ).ldelim();
-                            if (r.trainingInfo != null && r.trainingInfo.length)
-                                for (var l = 0; l < r.trainingInfo.length; ++l)
-                                    s.onnx.TrainingInfoProto.encode(r.trainingInfo[l], a.uint32(162).fork()).ldelim();
-                            if (r.functions != null && r.functions.length)
-                                for (var l = 0; l < r.functions.length; ++l)
-                                    s.onnx.FunctionProto.encode(r.functions[l], a.uint32(202).fork()).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.ModelProto(); r.pos < l; ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.irVersion = r.int64();
-                                        break;
-                                    }
-                                    case 8: {
-                                        (p.opsetImport && p.opsetImport.length) || (p.opsetImport = []),
-                                            p.opsetImport.push(s.onnx.OperatorSetIdProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.producerName = r.string();
-                                        break;
-                                    }
-                                    case 3: {
-                                        p.producerVersion = r.string();
-                                        break;
-                                    }
-                                    case 4: {
-                                        p.domain = r.string();
-                                        break;
-                                    }
-                                    case 5: {
-                                        p.modelVersion = r.int64();
-                                        break;
-                                    }
-                                    case 6: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    case 7: {
-                                        p.graph = s.onnx.GraphProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 14: {
-                                        (p.metadataProps && p.metadataProps.length) || (p.metadataProps = []),
-                                            p.metadataProps.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 20: {
-                                        (p.trainingInfo && p.trainingInfo.length) || (p.trainingInfo = []),
-                                            p.trainingInfo.push(s.onnx.TrainingInfoProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 25: {
-                                        (p.functions && p.functions.length) || (p.functions = []),
-                                            p.functions.push(s.onnx.FunctionProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (
-                                r.irVersion != null &&
-                                r.hasOwnProperty('irVersion') &&
-                                !n.isInteger(r.irVersion) &&
-                                !(r.irVersion && n.isInteger(r.irVersion.low) && n.isInteger(r.irVersion.high))
-                            )
-                                return 'irVersion: integer|Long expected';
-                            if (r.opsetImport != null && r.hasOwnProperty('opsetImport')) {
-                                if (!Array.isArray(r.opsetImport)) return 'opsetImport: array expected';
-                                for (var a = 0; a < r.opsetImport.length; ++a) {
-                                    var l = s.onnx.OperatorSetIdProto.verify(r.opsetImport[a]);
-                                    if (l) return 'opsetImport.' + l;
-                                }
-                            }
-                            if (
-                                r.producerName != null &&
-                                r.hasOwnProperty('producerName') &&
-                                !n.isString(r.producerName)
-                            )
-                                return 'producerName: string expected';
-                            if (
-                                r.producerVersion != null &&
-                                r.hasOwnProperty('producerVersion') &&
-                                !n.isString(r.producerVersion)
-                            )
-                                return 'producerVersion: string expected';
-                            if (r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain))
-                                return 'domain: string expected';
-                            if (
-                                r.modelVersion != null &&
-                                r.hasOwnProperty('modelVersion') &&
-                                !n.isInteger(r.modelVersion) &&
-                                !(r.modelVersion && n.isInteger(r.modelVersion.low) && n.isInteger(r.modelVersion.high))
-                            )
-                                return 'modelVersion: integer|Long expected';
-                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
-                                return 'docString: string expected';
-                            if (r.graph != null && r.hasOwnProperty('graph')) {
-                                var l = s.onnx.GraphProto.verify(r.graph);
-                                if (l) return 'graph.' + l;
-                            }
-                            if (r.metadataProps != null && r.hasOwnProperty('metadataProps')) {
-                                if (!Array.isArray(r.metadataProps)) return 'metadataProps: array expected';
-                                for (var a = 0; a < r.metadataProps.length; ++a) {
-                                    var l = s.onnx.StringStringEntryProto.verify(r.metadataProps[a]);
-                                    if (l) return 'metadataProps.' + l;
-                                }
-                            }
-                            if (r.trainingInfo != null && r.hasOwnProperty('trainingInfo')) {
-                                if (!Array.isArray(r.trainingInfo)) return 'trainingInfo: array expected';
-                                for (var a = 0; a < r.trainingInfo.length; ++a) {
-                                    var l = s.onnx.TrainingInfoProto.verify(r.trainingInfo[a]);
-                                    if (l) return 'trainingInfo.' + l;
-                                }
-                            }
-                            if (r.functions != null && r.hasOwnProperty('functions')) {
-                                if (!Array.isArray(r.functions)) return 'functions: array expected';
-                                for (var a = 0; a < r.functions.length; ++a) {
-                                    var l = s.onnx.FunctionProto.verify(r.functions[a]);
-                                    if (l) return 'functions.' + l;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.ModelProto) return r;
-                            var a = new s.onnx.ModelProto();
-                            if (
-                                (r.irVersion != null &&
-                                    (n.Long
-                                        ? ((a.irVersion = n.Long.fromValue(r.irVersion)).unsigned = !1)
-                                        : typeof r.irVersion == 'string'
-                                        ? (a.irVersion = parseInt(r.irVersion, 10))
-                                        : typeof r.irVersion == 'number'
-                                        ? (a.irVersion = r.irVersion)
-                                        : typeof r.irVersion == 'object' &&
-                                          (a.irVersion = new n.LongBits(
-                                              r.irVersion.low >>> 0,
-                                              r.irVersion.high >>> 0
-                                          ).toNumber())),
-                                r.opsetImport)
-                            ) {
-                                if (!Array.isArray(r.opsetImport))
-                                    throw TypeError('.onnx.ModelProto.opsetImport: array expected');
-                                a.opsetImport = [];
-                                for (var l = 0; l < r.opsetImport.length; ++l) {
-                                    if (typeof r.opsetImport[l] != 'object')
-                                        throw TypeError('.onnx.ModelProto.opsetImport: object expected');
-                                    a.opsetImport[l] = s.onnx.OperatorSetIdProto.fromObject(r.opsetImport[l]);
-                                }
-                            }
-                            if (
-                                (r.producerName != null && (a.producerName = String(r.producerName)),
-                                r.producerVersion != null && (a.producerVersion = String(r.producerVersion)),
-                                r.domain != null && (a.domain = String(r.domain)),
-                                r.modelVersion != null &&
-                                    (n.Long
-                                        ? ((a.modelVersion = n.Long.fromValue(r.modelVersion)).unsigned = !1)
-                                        : typeof r.modelVersion == 'string'
-                                        ? (a.modelVersion = parseInt(r.modelVersion, 10))
-                                        : typeof r.modelVersion == 'number'
-                                        ? (a.modelVersion = r.modelVersion)
-                                        : typeof r.modelVersion == 'object' &&
-                                          (a.modelVersion = new n.LongBits(
-                                              r.modelVersion.low >>> 0,
-                                              r.modelVersion.high >>> 0
-                                          ).toNumber())),
-                                r.docString != null && (a.docString = String(r.docString)),
-                                r.graph != null)
-                            ) {
-                                if (typeof r.graph != 'object')
-                                    throw TypeError('.onnx.ModelProto.graph: object expected');
-                                a.graph = s.onnx.GraphProto.fromObject(r.graph);
-                            }
-                            if (r.metadataProps) {
-                                if (!Array.isArray(r.metadataProps))
-                                    throw TypeError('.onnx.ModelProto.metadataProps: array expected');
-                                a.metadataProps = [];
-                                for (var l = 0; l < r.metadataProps.length; ++l) {
-                                    if (typeof r.metadataProps[l] != 'object')
-                                        throw TypeError('.onnx.ModelProto.metadataProps: object expected');
-                                    a.metadataProps[l] = s.onnx.StringStringEntryProto.fromObject(r.metadataProps[l]);
-                                }
-                            }
-                            if (r.trainingInfo) {
-                                if (!Array.isArray(r.trainingInfo))
-                                    throw TypeError('.onnx.ModelProto.trainingInfo: array expected');
-                                a.trainingInfo = [];
-                                for (var l = 0; l < r.trainingInfo.length; ++l) {
-                                    if (typeof r.trainingInfo[l] != 'object')
-                                        throw TypeError('.onnx.ModelProto.trainingInfo: object expected');
-                                    a.trainingInfo[l] = s.onnx.TrainingInfoProto.fromObject(r.trainingInfo[l]);
-                                }
-                            }
-                            if (r.functions) {
-                                if (!Array.isArray(r.functions))
-                                    throw TypeError('.onnx.ModelProto.functions: array expected');
-                                a.functions = [];
-                                for (var l = 0; l < r.functions.length; ++l) {
-                                    if (typeof r.functions[l] != 'object')
-                                        throw TypeError('.onnx.ModelProto.functions: object expected');
-                                    a.functions[l] = s.onnx.FunctionProto.fromObject(r.functions[l]);
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) &&
-                                    ((l.opsetImport = []),
-                                    (l.metadataProps = []),
-                                    (l.trainingInfo = []),
-                                    (l.functions = [])),
-                                a.defaults)
-                            ) {
-                                if (n.Long) {
-                                    var p = new n.Long(0, 0, !1);
-                                    l.irVersion =
-                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
-                                } else l.irVersion = a.longs === String ? '0' : 0;
-                                if (((l.producerName = ''), (l.producerVersion = ''), (l.domain = ''), n.Long)) {
-                                    var p = new n.Long(0, 0, !1);
-                                    l.modelVersion =
-                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
-                                } else l.modelVersion = a.longs === String ? '0' : 0;
-                                (l.docString = ''), (l.graph = null);
-                            }
-                            if (
-                                (r.irVersion != null &&
-                                    r.hasOwnProperty('irVersion') &&
-                                    (typeof r.irVersion == 'number'
-                                        ? (l.irVersion = a.longs === String ? String(r.irVersion) : r.irVersion)
-                                        : (l.irVersion =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.irVersion)
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(
-                                                        r.irVersion.low >>> 0,
-                                                        r.irVersion.high >>> 0
-                                                    ).toNumber()
-                                                  : r.irVersion)),
-                                r.producerName != null &&
-                                    r.hasOwnProperty('producerName') &&
-                                    (l.producerName = r.producerName),
-                                r.producerVersion != null &&
-                                    r.hasOwnProperty('producerVersion') &&
-                                    (l.producerVersion = r.producerVersion),
-                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
-                                r.modelVersion != null &&
-                                    r.hasOwnProperty('modelVersion') &&
-                                    (typeof r.modelVersion == 'number'
-                                        ? (l.modelVersion =
-                                              a.longs === String ? String(r.modelVersion) : r.modelVersion)
-                                        : (l.modelVersion =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.modelVersion)
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(
-                                                        r.modelVersion.low >>> 0,
-                                                        r.modelVersion.high >>> 0
-                                                    ).toNumber()
-                                                  : r.modelVersion)),
-                                r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.graph != null &&
-                                    r.hasOwnProperty('graph') &&
-                                    (l.graph = s.onnx.GraphProto.toObject(r.graph, a)),
-                                r.opsetImport && r.opsetImport.length)
-                            ) {
-                                l.opsetImport = [];
-                                for (var m = 0; m < r.opsetImport.length; ++m)
-                                    l.opsetImport[m] = s.onnx.OperatorSetIdProto.toObject(r.opsetImport[m], a);
-                            }
-                            if (r.metadataProps && r.metadataProps.length) {
-                                l.metadataProps = [];
-                                for (var m = 0; m < r.metadataProps.length; ++m)
-                                    l.metadataProps[m] = s.onnx.StringStringEntryProto.toObject(r.metadataProps[m], a);
-                            }
-                            if (r.trainingInfo && r.trainingInfo.length) {
-                                l.trainingInfo = [];
-                                for (var m = 0; m < r.trainingInfo.length; ++m)
-                                    l.trainingInfo[m] = s.onnx.TrainingInfoProto.toObject(r.trainingInfo[m], a);
-                            }
-                            if (r.functions && r.functions.length) {
-                                l.functions = [];
-                                for (var m = 0; m < r.functions.length; ++m)
-                                    l.functions[m] = s.onnx.FunctionProto.toObject(r.functions[m], a);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.ModelProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.StringStringEntryProto = (function () {
-                    function f(r) {
-                        if (r)
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.key = ''),
-                        (f.prototype.value = ''),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            return (
-                                a || (a = u.create()),
-                                r.key != null && Object.hasOwnProperty.call(r, 'key') && a.uint32(10).string(r.key),
-                                r.value != null &&
-                                    Object.hasOwnProperty.call(r, 'value') &&
-                                    a.uint32(18).string(r.value),
-                                a
-                            );
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.StringStringEntryProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.key = r.string();
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.value = r.string();
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            return typeof r != 'object' || r === null
-                                ? 'object expected'
-                                : r.key != null && r.hasOwnProperty('key') && !n.isString(r.key)
-                                ? 'key: string expected'
-                                : r.value != null && r.hasOwnProperty('value') && !n.isString(r.value)
-                                ? 'value: string expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.StringStringEntryProto) return r;
-                            var a = new s.onnx.StringStringEntryProto();
-                            return (
-                                r.key != null && (a.key = String(r.key)),
-                                r.value != null && (a.value = String(r.value)),
-                                a
-                            );
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            return (
-                                a.defaults && ((l.key = ''), (l.value = '')),
-                                r.key != null && r.hasOwnProperty('key') && (l.key = r.key),
-                                r.value != null && r.hasOwnProperty('value') && (l.value = r.value),
-                                l
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.StringStringEntryProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.TensorAnnotation = (function () {
-                    function f(r) {
-                        if (((this.quantParameterTensorNames = []), r))
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.tensorName = ''),
-                        (f.prototype.quantParameterTensorNames = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.tensorName != null &&
-                                    Object.hasOwnProperty.call(r, 'tensorName') &&
-                                    a.uint32(10).string(r.tensorName),
-                                r.quantParameterTensorNames != null && r.quantParameterTensorNames.length)
-                            )
-                                for (var l = 0; l < r.quantParameterTensorNames.length; ++l)
-                                    s.onnx.StringStringEntryProto.encode(
-                                        r.quantParameterTensorNames[l],
-                                        a.uint32(18).fork()
-                                    ).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorAnnotation();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.tensorName = r.string();
-                                        break;
-                                    }
-                                    case 2: {
-                                        (p.quantParameterTensorNames && p.quantParameterTensorNames.length) ||
-                                            (p.quantParameterTensorNames = []),
-                                            p.quantParameterTensorNames.push(
-                                                s.onnx.StringStringEntryProto.decode(r, r.uint32())
-                                            );
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.tensorName != null && r.hasOwnProperty('tensorName') && !n.isString(r.tensorName))
-                                return 'tensorName: string expected';
-                            if (r.quantParameterTensorNames != null && r.hasOwnProperty('quantParameterTensorNames')) {
-                                if (!Array.isArray(r.quantParameterTensorNames))
-                                    return 'quantParameterTensorNames: array expected';
-                                for (var a = 0; a < r.quantParameterTensorNames.length; ++a) {
-                                    var l = s.onnx.StringStringEntryProto.verify(r.quantParameterTensorNames[a]);
-                                    if (l) return 'quantParameterTensorNames.' + l;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.TensorAnnotation) return r;
-                            var a = new s.onnx.TensorAnnotation();
-                            if (
-                                (r.tensorName != null && (a.tensorName = String(r.tensorName)),
-                                r.quantParameterTensorNames)
-                            ) {
-                                if (!Array.isArray(r.quantParameterTensorNames))
-                                    throw TypeError('.onnx.TensorAnnotation.quantParameterTensorNames: array expected');
-                                a.quantParameterTensorNames = [];
-                                for (var l = 0; l < r.quantParameterTensorNames.length; ++l) {
-                                    if (typeof r.quantParameterTensorNames[l] != 'object')
-                                        throw TypeError(
-                                            '.onnx.TensorAnnotation.quantParameterTensorNames: object expected'
-                                        );
-                                    a.quantParameterTensorNames[l] = s.onnx.StringStringEntryProto.fromObject(
-                                        r.quantParameterTensorNames[l]
-                                    );
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) && (l.quantParameterTensorNames = []),
-                                a.defaults && (l.tensorName = ''),
-                                r.tensorName != null && r.hasOwnProperty('tensorName') && (l.tensorName = r.tensorName),
-                                r.quantParameterTensorNames && r.quantParameterTensorNames.length)
-                            ) {
-                                l.quantParameterTensorNames = [];
-                                for (var p = 0; p < r.quantParameterTensorNames.length; ++p)
-                                    l.quantParameterTensorNames[p] = s.onnx.StringStringEntryProto.toObject(
-                                        r.quantParameterTensorNames[p],
-                                        a
-                                    );
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorAnnotation';
-                        }),
-                        f
-                    );
-                })()),
-                (d.GraphProto = (function () {
-                    function f(r) {
-                        if (
-                            ((this.node = []),
-                            (this.initializer = []),
-                            (this.sparseInitializer = []),
-                            (this.input = []),
-                            (this.output = []),
-                            (this.valueInfo = []),
-                            (this.quantizationAnnotation = []),
-                            r)
-                        )
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.node = n.emptyArray),
-                        (f.prototype.name = ''),
-                        (f.prototype.initializer = n.emptyArray),
-                        (f.prototype.sparseInitializer = n.emptyArray),
-                        (f.prototype.docString = ''),
-                        (f.prototype.input = n.emptyArray),
-                        (f.prototype.output = n.emptyArray),
-                        (f.prototype.valueInfo = n.emptyArray),
-                        (f.prototype.quantizationAnnotation = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if ((a || (a = u.create()), r.node != null && r.node.length))
-                                for (var l = 0; l < r.node.length; ++l)
-                                    s.onnx.NodeProto.encode(r.node[l], a.uint32(10).fork()).ldelim();
-                            if (
-                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(18).string(r.name),
-                                r.initializer != null && r.initializer.length)
-                            )
-                                for (var l = 0; l < r.initializer.length; ++l)
-                                    s.onnx.TensorProto.encode(r.initializer[l], a.uint32(42).fork()).ldelim();
-                            if (
-                                (r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(82).string(r.docString),
-                                r.input != null && r.input.length)
-                            )
-                                for (var l = 0; l < r.input.length; ++l)
-                                    s.onnx.ValueInfoProto.encode(r.input[l], a.uint32(90).fork()).ldelim();
-                            if (r.output != null && r.output.length)
-                                for (var l = 0; l < r.output.length; ++l)
-                                    s.onnx.ValueInfoProto.encode(r.output[l], a.uint32(98).fork()).ldelim();
-                            if (r.valueInfo != null && r.valueInfo.length)
-                                for (var l = 0; l < r.valueInfo.length; ++l)
-                                    s.onnx.ValueInfoProto.encode(r.valueInfo[l], a.uint32(106).fork()).ldelim();
-                            if (r.quantizationAnnotation != null && r.quantizationAnnotation.length)
-                                for (var l = 0; l < r.quantizationAnnotation.length; ++l)
-                                    s.onnx.TensorAnnotation.encode(
-                                        r.quantizationAnnotation[l],
-                                        a.uint32(114).fork()
-                                    ).ldelim();
-                            if (r.sparseInitializer != null && r.sparseInitializer.length)
-                                for (var l = 0; l < r.sparseInitializer.length; ++l)
-                                    s.onnx.SparseTensorProto.encode(
-                                        r.sparseInitializer[l],
-                                        a.uint32(122).fork()
-                                    ).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.GraphProto(); r.pos < l; ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        (p.node && p.node.length) || (p.node = []),
-                                            p.node.push(s.onnx.NodeProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 5: {
-                                        (p.initializer && p.initializer.length) || (p.initializer = []),
-                                            p.initializer.push(s.onnx.TensorProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 15: {
-                                        (p.sparseInitializer && p.sparseInitializer.length) ||
-                                            (p.sparseInitializer = []),
-                                            p.sparseInitializer.push(s.onnx.SparseTensorProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 10: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    case 11: {
-                                        (p.input && p.input.length) || (p.input = []),
-                                            p.input.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 12: {
-                                        (p.output && p.output.length) || (p.output = []),
-                                            p.output.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 13: {
-                                        (p.valueInfo && p.valueInfo.length) || (p.valueInfo = []),
-                                            p.valueInfo.push(s.onnx.ValueInfoProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 14: {
-                                        (p.quantizationAnnotation && p.quantizationAnnotation.length) ||
-                                            (p.quantizationAnnotation = []),
-                                            p.quantizationAnnotation.push(
-                                                s.onnx.TensorAnnotation.decode(r, r.uint32())
-                                            );
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.node != null && r.hasOwnProperty('node')) {
-                                if (!Array.isArray(r.node)) return 'node: array expected';
-                                for (var a = 0; a < r.node.length; ++a) {
-                                    var l = s.onnx.NodeProto.verify(r.node[a]);
-                                    if (l) return 'node.' + l;
-                                }
-                            }
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.initializer != null && r.hasOwnProperty('initializer')) {
-                                if (!Array.isArray(r.initializer)) return 'initializer: array expected';
-                                for (var a = 0; a < r.initializer.length; ++a) {
-                                    var l = s.onnx.TensorProto.verify(r.initializer[a]);
-                                    if (l) return 'initializer.' + l;
-                                }
-                            }
-                            if (r.sparseInitializer != null && r.hasOwnProperty('sparseInitializer')) {
-                                if (!Array.isArray(r.sparseInitializer)) return 'sparseInitializer: array expected';
-                                for (var a = 0; a < r.sparseInitializer.length; ++a) {
-                                    var l = s.onnx.SparseTensorProto.verify(r.sparseInitializer[a]);
-                                    if (l) return 'sparseInitializer.' + l;
-                                }
-                            }
-                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
-                                return 'docString: string expected';
-                            if (r.input != null && r.hasOwnProperty('input')) {
-                                if (!Array.isArray(r.input)) return 'input: array expected';
-                                for (var a = 0; a < r.input.length; ++a) {
-                                    var l = s.onnx.ValueInfoProto.verify(r.input[a]);
-                                    if (l) return 'input.' + l;
-                                }
-                            }
-                            if (r.output != null && r.hasOwnProperty('output')) {
-                                if (!Array.isArray(r.output)) return 'output: array expected';
-                                for (var a = 0; a < r.output.length; ++a) {
-                                    var l = s.onnx.ValueInfoProto.verify(r.output[a]);
-                                    if (l) return 'output.' + l;
-                                }
-                            }
-                            if (r.valueInfo != null && r.hasOwnProperty('valueInfo')) {
-                                if (!Array.isArray(r.valueInfo)) return 'valueInfo: array expected';
-                                for (var a = 0; a < r.valueInfo.length; ++a) {
-                                    var l = s.onnx.ValueInfoProto.verify(r.valueInfo[a]);
-                                    if (l) return 'valueInfo.' + l;
-                                }
-                            }
-                            if (r.quantizationAnnotation != null && r.hasOwnProperty('quantizationAnnotation')) {
-                                if (!Array.isArray(r.quantizationAnnotation))
-                                    return 'quantizationAnnotation: array expected';
-                                for (var a = 0; a < r.quantizationAnnotation.length; ++a) {
-                                    var l = s.onnx.TensorAnnotation.verify(r.quantizationAnnotation[a]);
-                                    if (l) return 'quantizationAnnotation.' + l;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.GraphProto) return r;
-                            var a = new s.onnx.GraphProto();
-                            if (r.node) {
-                                if (!Array.isArray(r.node)) throw TypeError('.onnx.GraphProto.node: array expected');
-                                a.node = [];
-                                for (var l = 0; l < r.node.length; ++l) {
-                                    if (typeof r.node[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.node: object expected');
-                                    a.node[l] = s.onnx.NodeProto.fromObject(r.node[l]);
-                                }
-                            }
-                            if ((r.name != null && (a.name = String(r.name)), r.initializer)) {
-                                if (!Array.isArray(r.initializer))
-                                    throw TypeError('.onnx.GraphProto.initializer: array expected');
-                                a.initializer = [];
-                                for (var l = 0; l < r.initializer.length; ++l) {
-                                    if (typeof r.initializer[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.initializer: object expected');
-                                    a.initializer[l] = s.onnx.TensorProto.fromObject(r.initializer[l]);
-                                }
-                            }
-                            if (r.sparseInitializer) {
-                                if (!Array.isArray(r.sparseInitializer))
-                                    throw TypeError('.onnx.GraphProto.sparseInitializer: array expected');
-                                a.sparseInitializer = [];
-                                for (var l = 0; l < r.sparseInitializer.length; ++l) {
-                                    if (typeof r.sparseInitializer[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.sparseInitializer: object expected');
-                                    a.sparseInitializer[l] = s.onnx.SparseTensorProto.fromObject(
-                                        r.sparseInitializer[l]
-                                    );
-                                }
-                            }
-                            if ((r.docString != null && (a.docString = String(r.docString)), r.input)) {
-                                if (!Array.isArray(r.input)) throw TypeError('.onnx.GraphProto.input: array expected');
-                                a.input = [];
-                                for (var l = 0; l < r.input.length; ++l) {
-                                    if (typeof r.input[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.input: object expected');
-                                    a.input[l] = s.onnx.ValueInfoProto.fromObject(r.input[l]);
-                                }
-                            }
-                            if (r.output) {
-                                if (!Array.isArray(r.output))
-                                    throw TypeError('.onnx.GraphProto.output: array expected');
-                                a.output = [];
-                                for (var l = 0; l < r.output.length; ++l) {
-                                    if (typeof r.output[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.output: object expected');
-                                    a.output[l] = s.onnx.ValueInfoProto.fromObject(r.output[l]);
-                                }
-                            }
-                            if (r.valueInfo) {
-                                if (!Array.isArray(r.valueInfo))
-                                    throw TypeError('.onnx.GraphProto.valueInfo: array expected');
-                                a.valueInfo = [];
-                                for (var l = 0; l < r.valueInfo.length; ++l) {
-                                    if (typeof r.valueInfo[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.valueInfo: object expected');
-                                    a.valueInfo[l] = s.onnx.ValueInfoProto.fromObject(r.valueInfo[l]);
-                                }
-                            }
-                            if (r.quantizationAnnotation) {
-                                if (!Array.isArray(r.quantizationAnnotation))
-                                    throw TypeError('.onnx.GraphProto.quantizationAnnotation: array expected');
-                                a.quantizationAnnotation = [];
-                                for (var l = 0; l < r.quantizationAnnotation.length; ++l) {
-                                    if (typeof r.quantizationAnnotation[l] != 'object')
-                                        throw TypeError('.onnx.GraphProto.quantizationAnnotation: object expected');
-                                    a.quantizationAnnotation[l] = s.onnx.TensorAnnotation.fromObject(
-                                        r.quantizationAnnotation[l]
-                                    );
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) &&
-                                    ((l.node = []),
-                                    (l.initializer = []),
-                                    (l.input = []),
-                                    (l.output = []),
-                                    (l.valueInfo = []),
-                                    (l.quantizationAnnotation = []),
-                                    (l.sparseInitializer = [])),
-                                a.defaults && ((l.name = ''), (l.docString = '')),
-                                r.node && r.node.length)
-                            ) {
-                                l.node = [];
-                                for (var p = 0; p < r.node.length; ++p)
-                                    l.node[p] = s.onnx.NodeProto.toObject(r.node[p], a);
-                            }
-                            if (
-                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.initializer && r.initializer.length)
-                            ) {
-                                l.initializer = [];
-                                for (var p = 0; p < r.initializer.length; ++p)
-                                    l.initializer[p] = s.onnx.TensorProto.toObject(r.initializer[p], a);
-                            }
-                            if (
-                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.input && r.input.length)
-                            ) {
-                                l.input = [];
-                                for (var p = 0; p < r.input.length; ++p)
-                                    l.input[p] = s.onnx.ValueInfoProto.toObject(r.input[p], a);
-                            }
-                            if (r.output && r.output.length) {
-                                l.output = [];
-                                for (var p = 0; p < r.output.length; ++p)
-                                    l.output[p] = s.onnx.ValueInfoProto.toObject(r.output[p], a);
-                            }
-                            if (r.valueInfo && r.valueInfo.length) {
-                                l.valueInfo = [];
-                                for (var p = 0; p < r.valueInfo.length; ++p)
-                                    l.valueInfo[p] = s.onnx.ValueInfoProto.toObject(r.valueInfo[p], a);
-                            }
-                            if (r.quantizationAnnotation && r.quantizationAnnotation.length) {
-                                l.quantizationAnnotation = [];
-                                for (var p = 0; p < r.quantizationAnnotation.length; ++p)
-                                    l.quantizationAnnotation[p] = s.onnx.TensorAnnotation.toObject(
-                                        r.quantizationAnnotation[p],
-                                        a
-                                    );
-                            }
-                            if (r.sparseInitializer && r.sparseInitializer.length) {
-                                l.sparseInitializer = [];
-                                for (var p = 0; p < r.sparseInitializer.length; ++p)
-                                    l.sparseInitializer[p] = s.onnx.SparseTensorProto.toObject(
-                                        r.sparseInitializer[p],
-                                        a
-                                    );
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.GraphProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.TensorProto = (function () {
-                    function f(r) {
-                        if (
-                            ((this.dims = []),
-                            (this.floatData = []),
-                            (this.int32Data = []),
-                            (this.stringData = []),
-                            (this.int64Data = []),
-                            (this.externalData = []),
-                            (this.doubleData = []),
-                            (this.uint64Data = []),
-                            r)
-                        )
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.dims = n.emptyArray),
-                        (f.prototype.dataType = 0),
-                        (f.prototype.segment = null),
-                        (f.prototype.floatData = n.emptyArray),
-                        (f.prototype.int32Data = n.emptyArray),
-                        (f.prototype.stringData = n.emptyArray),
-                        (f.prototype.int64Data = n.emptyArray),
-                        (f.prototype.name = ''),
-                        (f.prototype.docString = ''),
-                        (f.prototype.rawData = n.newBuffer([])),
-                        (f.prototype.externalData = n.emptyArray),
-                        (f.prototype.dataLocation = 0),
-                        (f.prototype.doubleData = n.emptyArray),
-                        (f.prototype.uint64Data = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if ((a || (a = u.create()), r.dims != null && r.dims.length)) {
-                                a.uint32(10).fork();
-                                for (var l = 0; l < r.dims.length; ++l) a.int64(r.dims[l]);
-                                a.ldelim();
-                            }
-                            if (
-                                (r.dataType != null &&
-                                    Object.hasOwnProperty.call(r, 'dataType') &&
-                                    a.uint32(16).int32(r.dataType),
-                                r.segment != null &&
-                                    Object.hasOwnProperty.call(r, 'segment') &&
-                                    s.onnx.TensorProto.Segment.encode(r.segment, a.uint32(26).fork()).ldelim(),
-                                r.floatData != null && r.floatData.length)
-                            ) {
-                                a.uint32(34).fork();
-                                for (var l = 0; l < r.floatData.length; ++l) a.float(r.floatData[l]);
-                                a.ldelim();
-                            }
-                            if (r.int32Data != null && r.int32Data.length) {
-                                a.uint32(42).fork();
-                                for (var l = 0; l < r.int32Data.length; ++l) a.int32(r.int32Data[l]);
-                                a.ldelim();
-                            }
-                            if (r.stringData != null && r.stringData.length)
-                                for (var l = 0; l < r.stringData.length; ++l) a.uint32(50).bytes(r.stringData[l]);
-                            if (r.int64Data != null && r.int64Data.length) {
-                                a.uint32(58).fork();
-                                for (var l = 0; l < r.int64Data.length; ++l) a.int64(r.int64Data[l]);
-                                a.ldelim();
-                            }
-                            if (
-                                (r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(66).string(r.name),
-                                r.rawData != null &&
-                                    Object.hasOwnProperty.call(r, 'rawData') &&
-                                    a.uint32(74).bytes(r.rawData),
-                                r.doubleData != null && r.doubleData.length)
-                            ) {
-                                a.uint32(82).fork();
-                                for (var l = 0; l < r.doubleData.length; ++l) a.double(r.doubleData[l]);
-                                a.ldelim();
-                            }
-                            if (r.uint64Data != null && r.uint64Data.length) {
-                                a.uint32(90).fork();
-                                for (var l = 0; l < r.uint64Data.length; ++l) a.uint64(r.uint64Data[l]);
-                                a.ldelim();
-                            }
-                            if (
-                                (r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(98).string(r.docString),
-                                r.externalData != null && r.externalData.length)
-                            )
-                                for (var l = 0; l < r.externalData.length; ++l)
-                                    s.onnx.StringStringEntryProto.encode(
-                                        r.externalData[l],
-                                        a.uint32(106).fork()
-                                    ).ldelim();
-                            return (
-                                r.dataLocation != null &&
-                                    Object.hasOwnProperty.call(r, 'dataLocation') &&
-                                    a.uint32(112).int32(r.dataLocation),
-                                a
-                            );
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorProto(); r.pos < l; ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        if (((p.dims && p.dims.length) || (p.dims = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.dims.push(r.int64());
-                                        else p.dims.push(r.int64());
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.dataType = r.int32();
-                                        break;
-                                    }
-                                    case 3: {
-                                        p.segment = s.onnx.TensorProto.Segment.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 4: {
-                                        if (((p.floatData && p.floatData.length) || (p.floatData = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.floatData.push(r.float());
-                                        else p.floatData.push(r.float());
-                                        break;
-                                    }
-                                    case 5: {
-                                        if (((p.int32Data && p.int32Data.length) || (p.int32Data = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.int32Data.push(r.int32());
-                                        else p.int32Data.push(r.int32());
-                                        break;
-                                    }
-                                    case 6: {
-                                        (p.stringData && p.stringData.length) || (p.stringData = []),
-                                            p.stringData.push(r.bytes());
-                                        break;
-                                    }
-                                    case 7: {
-                                        if (((p.int64Data && p.int64Data.length) || (p.int64Data = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.int64Data.push(r.int64());
-                                        else p.int64Data.push(r.int64());
-                                        break;
-                                    }
-                                    case 8: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 12: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    case 9: {
-                                        p.rawData = r.bytes();
-                                        break;
-                                    }
-                                    case 13: {
-                                        (p.externalData && p.externalData.length) || (p.externalData = []),
-                                            p.externalData.push(s.onnx.StringStringEntryProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 14: {
-                                        p.dataLocation = r.int32();
-                                        break;
-                                    }
-                                    case 10: {
-                                        if (
-                                            ((p.doubleData && p.doubleData.length) || (p.doubleData = []),
-                                            (m & 7) === 2)
-                                        )
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.doubleData.push(r.double());
-                                        else p.doubleData.push(r.double());
-                                        break;
-                                    }
-                                    case 11: {
-                                        if (
-                                            ((p.uint64Data && p.uint64Data.length) || (p.uint64Data = []),
-                                            (m & 7) === 2)
-                                        )
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.uint64Data.push(r.uint64());
-                                        else p.uint64Data.push(r.uint64());
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.dims != null && r.hasOwnProperty('dims')) {
-                                if (!Array.isArray(r.dims)) return 'dims: array expected';
-                                for (var a = 0; a < r.dims.length; ++a)
-                                    if (
-                                        !n.isInteger(r.dims[a]) &&
-                                        !(r.dims[a] && n.isInteger(r.dims[a].low) && n.isInteger(r.dims[a].high))
-                                    )
-                                        return 'dims: integer|Long[] expected';
-                            }
-                            if (r.dataType != null && r.hasOwnProperty('dataType') && !n.isInteger(r.dataType))
-                                return 'dataType: integer expected';
-                            if (r.segment != null && r.hasOwnProperty('segment')) {
-                                var l = s.onnx.TensorProto.Segment.verify(r.segment);
-                                if (l) return 'segment.' + l;
-                            }
-                            if (r.floatData != null && r.hasOwnProperty('floatData')) {
-                                if (!Array.isArray(r.floatData)) return 'floatData: array expected';
-                                for (var a = 0; a < r.floatData.length; ++a)
-                                    if (typeof r.floatData[a] != 'number') return 'floatData: number[] expected';
-                            }
-                            if (r.int32Data != null && r.hasOwnProperty('int32Data')) {
-                                if (!Array.isArray(r.int32Data)) return 'int32Data: array expected';
-                                for (var a = 0; a < r.int32Data.length; ++a)
-                                    if (!n.isInteger(r.int32Data[a])) return 'int32Data: integer[] expected';
-                            }
-                            if (r.stringData != null && r.hasOwnProperty('stringData')) {
-                                if (!Array.isArray(r.stringData)) return 'stringData: array expected';
-                                for (var a = 0; a < r.stringData.length; ++a)
-                                    if (
-                                        !(
-                                            (r.stringData[a] && typeof r.stringData[a].length == 'number') ||
-                                            n.isString(r.stringData[a])
-                                        )
-                                    )
-                                        return 'stringData: buffer[] expected';
-                            }
-                            if (r.int64Data != null && r.hasOwnProperty('int64Data')) {
-                                if (!Array.isArray(r.int64Data)) return 'int64Data: array expected';
-                                for (var a = 0; a < r.int64Data.length; ++a)
-                                    if (
-                                        !n.isInteger(r.int64Data[a]) &&
-                                        !(
-                                            r.int64Data[a] &&
-                                            n.isInteger(r.int64Data[a].low) &&
-                                            n.isInteger(r.int64Data[a].high)
-                                        )
-                                    )
-                                        return 'int64Data: integer|Long[] expected';
-                            }
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
-                                return 'docString: string expected';
-                            if (
-                                r.rawData != null &&
-                                r.hasOwnProperty('rawData') &&
-                                !((r.rawData && typeof r.rawData.length == 'number') || n.isString(r.rawData))
-                            )
-                                return 'rawData: buffer expected';
-                            if (r.externalData != null && r.hasOwnProperty('externalData')) {
-                                if (!Array.isArray(r.externalData)) return 'externalData: array expected';
-                                for (var a = 0; a < r.externalData.length; ++a) {
-                                    var l = s.onnx.StringStringEntryProto.verify(r.externalData[a]);
-                                    if (l) return 'externalData.' + l;
-                                }
-                            }
-                            if (r.dataLocation != null && r.hasOwnProperty('dataLocation'))
-                                switch (r.dataLocation) {
-                                    default:
-                                        return 'dataLocation: enum value expected';
-                                    case 0:
-                                    case 1:
-                                        break;
-                                }
-                            if (r.doubleData != null && r.hasOwnProperty('doubleData')) {
-                                if (!Array.isArray(r.doubleData)) return 'doubleData: array expected';
-                                for (var a = 0; a < r.doubleData.length; ++a)
-                                    if (typeof r.doubleData[a] != 'number') return 'doubleData: number[] expected';
-                            }
-                            if (r.uint64Data != null && r.hasOwnProperty('uint64Data')) {
-                                if (!Array.isArray(r.uint64Data)) return 'uint64Data: array expected';
-                                for (var a = 0; a < r.uint64Data.length; ++a)
-                                    if (
-                                        !n.isInteger(r.uint64Data[a]) &&
-                                        !(
-                                            r.uint64Data[a] &&
-                                            n.isInteger(r.uint64Data[a].low) &&
-                                            n.isInteger(r.uint64Data[a].high)
-                                        )
-                                    )
-                                        return 'uint64Data: integer|Long[] expected';
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.TensorProto) return r;
-                            var a = new s.onnx.TensorProto();
-                            if (r.dims) {
-                                if (!Array.isArray(r.dims)) throw TypeError('.onnx.TensorProto.dims: array expected');
-                                a.dims = [];
-                                for (var l = 0; l < r.dims.length; ++l)
-                                    n.Long
-                                        ? ((a.dims[l] = n.Long.fromValue(r.dims[l])).unsigned = !1)
-                                        : typeof r.dims[l] == 'string'
-                                        ? (a.dims[l] = parseInt(r.dims[l], 10))
-                                        : typeof r.dims[l] == 'number'
-                                        ? (a.dims[l] = r.dims[l])
-                                        : typeof r.dims[l] == 'object' &&
-                                          (a.dims[l] = new n.LongBits(
-                                              r.dims[l].low >>> 0,
-                                              r.dims[l].high >>> 0
-                                          ).toNumber());
-                            }
-                            if ((r.dataType != null && (a.dataType = r.dataType | 0), r.segment != null)) {
-                                if (typeof r.segment != 'object')
-                                    throw TypeError('.onnx.TensorProto.segment: object expected');
-                                a.segment = s.onnx.TensorProto.Segment.fromObject(r.segment);
-                            }
-                            if (r.floatData) {
-                                if (!Array.isArray(r.floatData))
-                                    throw TypeError('.onnx.TensorProto.floatData: array expected');
-                                a.floatData = [];
-                                for (var l = 0; l < r.floatData.length; ++l) a.floatData[l] = Number(r.floatData[l]);
-                            }
-                            if (r.int32Data) {
-                                if (!Array.isArray(r.int32Data))
-                                    throw TypeError('.onnx.TensorProto.int32Data: array expected');
-                                a.int32Data = [];
-                                for (var l = 0; l < r.int32Data.length; ++l) a.int32Data[l] = r.int32Data[l] | 0;
-                            }
-                            if (r.stringData) {
-                                if (!Array.isArray(r.stringData))
-                                    throw TypeError('.onnx.TensorProto.stringData: array expected');
-                                a.stringData = [];
-                                for (var l = 0; l < r.stringData.length; ++l)
-                                    typeof r.stringData[l] == 'string'
-                                        ? n.base64.decode(
-                                              r.stringData[l],
-                                              (a.stringData[l] = n.newBuffer(n.base64.length(r.stringData[l]))),
-                                              0
-                                          )
-                                        : r.stringData[l].length >= 0 && (a.stringData[l] = r.stringData[l]);
-                            }
-                            if (r.int64Data) {
-                                if (!Array.isArray(r.int64Data))
-                                    throw TypeError('.onnx.TensorProto.int64Data: array expected');
-                                a.int64Data = [];
-                                for (var l = 0; l < r.int64Data.length; ++l)
-                                    n.Long
-                                        ? ((a.int64Data[l] = n.Long.fromValue(r.int64Data[l])).unsigned = !1)
-                                        : typeof r.int64Data[l] == 'string'
-                                        ? (a.int64Data[l] = parseInt(r.int64Data[l], 10))
-                                        : typeof r.int64Data[l] == 'number'
-                                        ? (a.int64Data[l] = r.int64Data[l])
-                                        : typeof r.int64Data[l] == 'object' &&
-                                          (a.int64Data[l] = new n.LongBits(
-                                              r.int64Data[l].low >>> 0,
-                                              r.int64Data[l].high >>> 0
-                                          ).toNumber());
-                            }
-                            if (
-                                (r.name != null && (a.name = String(r.name)),
-                                r.docString != null && (a.docString = String(r.docString)),
-                                r.rawData != null &&
-                                    (typeof r.rawData == 'string'
-                                        ? n.base64.decode(
-                                              r.rawData,
-                                              (a.rawData = n.newBuffer(n.base64.length(r.rawData))),
-                                              0
-                                          )
-                                        : r.rawData.length >= 0 && (a.rawData = r.rawData)),
-                                r.externalData)
-                            ) {
-                                if (!Array.isArray(r.externalData))
-                                    throw TypeError('.onnx.TensorProto.externalData: array expected');
-                                a.externalData = [];
-                                for (var l = 0; l < r.externalData.length; ++l) {
-                                    if (typeof r.externalData[l] != 'object')
-                                        throw TypeError('.onnx.TensorProto.externalData: object expected');
-                                    a.externalData[l] = s.onnx.StringStringEntryProto.fromObject(r.externalData[l]);
-                                }
-                            }
-                            switch (r.dataLocation) {
-                                default:
-                                    if (typeof r.dataLocation == 'number') {
-                                        a.dataLocation = r.dataLocation;
-                                        break;
-                                    }
-                                    break;
-                                case 'DEFAULT':
-                                case 0:
-                                    a.dataLocation = 0;
-                                    break;
-                                case 'EXTERNAL':
-                                case 1:
-                                    a.dataLocation = 1;
-                                    break;
-                            }
-                            if (r.doubleData) {
-                                if (!Array.isArray(r.doubleData))
-                                    throw TypeError('.onnx.TensorProto.doubleData: array expected');
-                                a.doubleData = [];
-                                for (var l = 0; l < r.doubleData.length; ++l) a.doubleData[l] = Number(r.doubleData[l]);
-                            }
-                            if (r.uint64Data) {
-                                if (!Array.isArray(r.uint64Data))
-                                    throw TypeError('.onnx.TensorProto.uint64Data: array expected');
-                                a.uint64Data = [];
-                                for (var l = 0; l < r.uint64Data.length; ++l)
-                                    n.Long
-                                        ? ((a.uint64Data[l] = n.Long.fromValue(r.uint64Data[l])).unsigned = !0)
-                                        : typeof r.uint64Data[l] == 'string'
-                                        ? (a.uint64Data[l] = parseInt(r.uint64Data[l], 10))
-                                        : typeof r.uint64Data[l] == 'number'
-                                        ? (a.uint64Data[l] = r.uint64Data[l])
-                                        : typeof r.uint64Data[l] == 'object' &&
-                                          (a.uint64Data[l] = new n.LongBits(
-                                              r.uint64Data[l].low >>> 0,
-                                              r.uint64Data[l].high >>> 0
-                                          ).toNumber(!0));
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) &&
-                                    ((l.dims = []),
-                                    (l.floatData = []),
-                                    (l.int32Data = []),
-                                    (l.stringData = []),
-                                    (l.int64Data = []),
-                                    (l.doubleData = []),
-                                    (l.uint64Data = []),
-                                    (l.externalData = [])),
-                                a.defaults &&
-                                    ((l.dataType = 0),
-                                    (l.segment = null),
-                                    (l.name = ''),
-                                    a.bytes === String
-                                        ? (l.rawData = '')
-                                        : ((l.rawData = []), a.bytes !== Array && (l.rawData = n.newBuffer(l.rawData))),
-                                    (l.docString = ''),
-                                    (l.dataLocation = a.enums === String ? 'DEFAULT' : 0)),
-                                r.dims && r.dims.length)
-                            ) {
-                                l.dims = [];
-                                for (var p = 0; p < r.dims.length; ++p)
-                                    typeof r.dims[p] == 'number'
-                                        ? (l.dims[p] = a.longs === String ? String(r.dims[p]) : r.dims[p])
-                                        : (l.dims[p] =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.dims[p])
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(r.dims[p].low >>> 0, r.dims[p].high >>> 0).toNumber()
-                                                  : r.dims[p]);
-                            }
-                            if (
-                                (r.dataType != null && r.hasOwnProperty('dataType') && (l.dataType = r.dataType),
-                                r.segment != null &&
-                                    r.hasOwnProperty('segment') &&
-                                    (l.segment = s.onnx.TensorProto.Segment.toObject(r.segment, a)),
-                                r.floatData && r.floatData.length)
-                            ) {
-                                l.floatData = [];
-                                for (var p = 0; p < r.floatData.length; ++p)
-                                    l.floatData[p] =
-                                        a.json && !isFinite(r.floatData[p]) ? String(r.floatData[p]) : r.floatData[p];
-                            }
-                            if (r.int32Data && r.int32Data.length) {
-                                l.int32Data = [];
-                                for (var p = 0; p < r.int32Data.length; ++p) l.int32Data[p] = r.int32Data[p];
-                            }
-                            if (r.stringData && r.stringData.length) {
-                                l.stringData = [];
-                                for (var p = 0; p < r.stringData.length; ++p)
-                                    l.stringData[p] =
-                                        a.bytes === String
-                                            ? n.base64.encode(r.stringData[p], 0, r.stringData[p].length)
-                                            : a.bytes === Array
-                                            ? Array.prototype.slice.call(r.stringData[p])
-                                            : r.stringData[p];
-                            }
-                            if (r.int64Data && r.int64Data.length) {
-                                l.int64Data = [];
-                                for (var p = 0; p < r.int64Data.length; ++p)
-                                    typeof r.int64Data[p] == 'number'
-                                        ? (l.int64Data[p] =
-                                              a.longs === String ? String(r.int64Data[p]) : r.int64Data[p])
-                                        : (l.int64Data[p] =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.int64Data[p])
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(
-                                                        r.int64Data[p].low >>> 0,
-                                                        r.int64Data[p].high >>> 0
-                                                    ).toNumber()
-                                                  : r.int64Data[p]);
-                            }
-                            if (
-                                (r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.rawData != null &&
-                                    r.hasOwnProperty('rawData') &&
-                                    (l.rawData =
-                                        a.bytes === String
-                                            ? n.base64.encode(r.rawData, 0, r.rawData.length)
-                                            : a.bytes === Array
-                                            ? Array.prototype.slice.call(r.rawData)
-                                            : r.rawData),
-                                r.doubleData && r.doubleData.length)
-                            ) {
-                                l.doubleData = [];
-                                for (var p = 0; p < r.doubleData.length; ++p)
-                                    l.doubleData[p] =
-                                        a.json && !isFinite(r.doubleData[p])
-                                            ? String(r.doubleData[p])
-                                            : r.doubleData[p];
-                            }
-                            if (r.uint64Data && r.uint64Data.length) {
-                                l.uint64Data = [];
-                                for (var p = 0; p < r.uint64Data.length; ++p)
-                                    typeof r.uint64Data[p] == 'number'
-                                        ? (l.uint64Data[p] =
-                                              a.longs === String ? String(r.uint64Data[p]) : r.uint64Data[p])
-                                        : (l.uint64Data[p] =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.uint64Data[p])
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(
-                                                        r.uint64Data[p].low >>> 0,
-                                                        r.uint64Data[p].high >>> 0
-                                                    ).toNumber(!0)
-                                                  : r.uint64Data[p]);
-                            }
-                            if (
-                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.externalData && r.externalData.length)
-                            ) {
-                                l.externalData = [];
-                                for (var p = 0; p < r.externalData.length; ++p)
-                                    l.externalData[p] = s.onnx.StringStringEntryProto.toObject(r.externalData[p], a);
-                            }
-                            return (
-                                r.dataLocation != null &&
-                                    r.hasOwnProperty('dataLocation') &&
-                                    (l.dataLocation =
-                                        a.enums === String
-                                            ? s.onnx.TensorProto.DataLocation[r.dataLocation] === void 0
-                                                ? r.dataLocation
-                                                : s.onnx.TensorProto.DataLocation[r.dataLocation]
-                                            : r.dataLocation),
-                                l
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorProto';
-                        }),
-                        (f.DataType = (function () {
-                            var r = {},
-                                a = Object.create(r);
-                            return (
-                                (a[(r[0] = 'UNDEFINED')] = 0),
-                                (a[(r[1] = 'FLOAT')] = 1),
-                                (a[(r[2] = 'UINT8')] = 2),
-                                (a[(r[3] = 'INT8')] = 3),
-                                (a[(r[4] = 'UINT16')] = 4),
-                                (a[(r[5] = 'INT16')] = 5),
-                                (a[(r[6] = 'INT32')] = 6),
-                                (a[(r[7] = 'INT64')] = 7),
-                                (a[(r[8] = 'STRING')] = 8),
-                                (a[(r[9] = 'BOOL')] = 9),
-                                (a[(r[10] = 'FLOAT16')] = 10),
-                                (a[(r[11] = 'DOUBLE')] = 11),
-                                (a[(r[12] = 'UINT32')] = 12),
-                                (a[(r[13] = 'UINT64')] = 13),
-                                (a[(r[14] = 'COMPLEX64')] = 14),
-                                (a[(r[15] = 'COMPLEX128')] = 15),
-                                (a[(r[16] = 'BFLOAT16')] = 16),
-                                (a[(r[17] = 'FLOAT8E4M3FN')] = 17),
-                                (a[(r[18] = 'FLOAT8E4M3FNUZ')] = 18),
-                                (a[(r[19] = 'FLOAT8E5M2')] = 19),
-                                (a[(r[20] = 'FLOAT8E5M2FNUZ')] = 20),
-                                a
-                            );
-                        })()),
-                        (f.Segment = (function () {
-                            function r(a) {
-                                if (a)
-                                    for (var l = Object.keys(a), p = 0; p < l.length; ++p)
-                                        a[l[p]] != null && (this[l[p]] = a[l[p]]);
-                            }
-                            return (
-                                (r.prototype.begin = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                                (r.prototype.end = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                                (r.create = function (a) {
-                                    return new r(a);
-                                }),
-                                (r.encode = function (a, l) {
-                                    return (
-                                        l || (l = u.create()),
-                                        a.begin != null &&
-                                            Object.hasOwnProperty.call(a, 'begin') &&
-                                            l.uint32(8).int64(a.begin),
-                                        a.end != null &&
-                                            Object.hasOwnProperty.call(a, 'end') &&
-                                            l.uint32(16).int64(a.end),
-                                        l
-                                    );
-                                }),
-                                (r.encodeDelimited = function (a, l) {
-                                    return this.encode(a, l).ldelim();
-                                }),
-                                (r.decode = function (a, l) {
-                                    a instanceof i || (a = i.create(a));
-                                    for (
-                                        var p = l === void 0 ? a.len : a.pos + l, m = new s.onnx.TensorProto.Segment();
-                                        a.pos < p;
-
-                                    ) {
-                                        var y = a.uint32();
-                                        switch (y >>> 3) {
-                                            case 1: {
-                                                m.begin = a.int64();
-                                                break;
-                                            }
-                                            case 2: {
-                                                m.end = a.int64();
-                                                break;
-                                            }
-                                            default:
-                                                a.skipType(y & 7);
-                                                break;
-                                        }
-                                    }
-                                    return m;
-                                }),
-                                (r.decodeDelimited = function (a) {
-                                    return a instanceof i || (a = new i(a)), this.decode(a, a.uint32());
-                                }),
-                                (r.verify = function (a) {
-                                    return typeof a != 'object' || a === null
-                                        ? 'object expected'
-                                        : a.begin != null &&
-                                          a.hasOwnProperty('begin') &&
-                                          !n.isInteger(a.begin) &&
-                                          !(a.begin && n.isInteger(a.begin.low) && n.isInteger(a.begin.high))
-                                        ? 'begin: integer|Long expected'
-                                        : a.end != null &&
-                                          a.hasOwnProperty('end') &&
-                                          !n.isInteger(a.end) &&
-                                          !(a.end && n.isInteger(a.end.low) && n.isInteger(a.end.high))
-                                        ? 'end: integer|Long expected'
-                                        : null;
-                                }),
-                                (r.fromObject = function (a) {
-                                    if (a instanceof s.onnx.TensorProto.Segment) return a;
-                                    var l = new s.onnx.TensorProto.Segment();
-                                    return (
-                                        a.begin != null &&
-                                            (n.Long
-                                                ? ((l.begin = n.Long.fromValue(a.begin)).unsigned = !1)
-                                                : typeof a.begin == 'string'
-                                                ? (l.begin = parseInt(a.begin, 10))
-                                                : typeof a.begin == 'number'
-                                                ? (l.begin = a.begin)
-                                                : typeof a.begin == 'object' &&
-                                                  (l.begin = new n.LongBits(
-                                                      a.begin.low >>> 0,
-                                                      a.begin.high >>> 0
-                                                  ).toNumber())),
-                                        a.end != null &&
-                                            (n.Long
-                                                ? ((l.end = n.Long.fromValue(a.end)).unsigned = !1)
-                                                : typeof a.end == 'string'
-                                                ? (l.end = parseInt(a.end, 10))
-                                                : typeof a.end == 'number'
-                                                ? (l.end = a.end)
-                                                : typeof a.end == 'object' &&
-                                                  (l.end = new n.LongBits(
-                                                      a.end.low >>> 0,
-                                                      a.end.high >>> 0
-                                                  ).toNumber())),
-                                        l
-                                    );
-                                }),
-                                (r.toObject = function (a, l) {
-                                    l || (l = {});
-                                    var p = {};
-                                    if (l.defaults) {
-                                        if (n.Long) {
-                                            var m = new n.Long(0, 0, !1);
-                                            p.begin =
-                                                l.longs === String
-                                                    ? m.toString()
-                                                    : l.longs === Number
-                                                    ? m.toNumber()
-                                                    : m;
-                                        } else p.begin = l.longs === String ? '0' : 0;
-                                        if (n.Long) {
-                                            var m = new n.Long(0, 0, !1);
-                                            p.end =
-                                                l.longs === String
-                                                    ? m.toString()
-                                                    : l.longs === Number
-                                                    ? m.toNumber()
-                                                    : m;
-                                        } else p.end = l.longs === String ? '0' : 0;
-                                    }
-                                    return (
-                                        a.begin != null &&
-                                            a.hasOwnProperty('begin') &&
-                                            (typeof a.begin == 'number'
-                                                ? (p.begin = l.longs === String ? String(a.begin) : a.begin)
-                                                : (p.begin =
-                                                      l.longs === String
-                                                          ? n.Long.prototype.toString.call(a.begin)
-                                                          : l.longs === Number
-                                                          ? new n.LongBits(
-                                                                a.begin.low >>> 0,
-                                                                a.begin.high >>> 0
-                                                            ).toNumber()
-                                                          : a.begin)),
-                                        a.end != null &&
-                                            a.hasOwnProperty('end') &&
-                                            (typeof a.end == 'number'
-                                                ? (p.end = l.longs === String ? String(a.end) : a.end)
-                                                : (p.end =
-                                                      l.longs === String
-                                                          ? n.Long.prototype.toString.call(a.end)
-                                                          : l.longs === Number
-                                                          ? new n.LongBits(a.end.low >>> 0, a.end.high >>> 0).toNumber()
-                                                          : a.end)),
-                                        p
-                                    );
-                                }),
-                                (r.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (r.getTypeUrl = function (a) {
-                                    return a === void 0 && (a = 'type.googleapis.com'), a + '/onnx.TensorProto.Segment';
-                                }),
-                                r
-                            );
-                        })()),
-                        (f.DataLocation = (function () {
-                            var r = {},
-                                a = Object.create(r);
-                            return (a[(r[0] = 'DEFAULT')] = 0), (a[(r[1] = 'EXTERNAL')] = 1), a;
-                        })()),
-                        f
-                    );
-                })()),
-                (d.SparseTensorProto = (function () {
-                    function f(r) {
-                        if (((this.dims = []), r))
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.values = null),
-                        (f.prototype.indices = null),
-                        (f.prototype.dims = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.values != null &&
-                                    Object.hasOwnProperty.call(r, 'values') &&
-                                    s.onnx.TensorProto.encode(r.values, a.uint32(10).fork()).ldelim(),
-                                r.indices != null &&
-                                    Object.hasOwnProperty.call(r, 'indices') &&
-                                    s.onnx.TensorProto.encode(r.indices, a.uint32(18).fork()).ldelim(),
-                                r.dims != null && r.dims.length)
-                            ) {
-                                a.uint32(26).fork();
-                                for (var l = 0; l < r.dims.length; ++l) a.int64(r.dims[l]);
-                                a.ldelim();
-                            }
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.SparseTensorProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.values = s.onnx.TensorProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.indices = s.onnx.TensorProto.decode(r, r.uint32());
-                                        break;
-                                    }
-                                    case 3: {
-                                        if (((p.dims && p.dims.length) || (p.dims = []), (m & 7) === 2))
-                                            for (var y = r.uint32() + r.pos; r.pos < y; ) p.dims.push(r.int64());
-                                        else p.dims.push(r.int64());
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.values != null && r.hasOwnProperty('values')) {
-                                var a = s.onnx.TensorProto.verify(r.values);
-                                if (a) return 'values.' + a;
-                            }
-                            if (r.indices != null && r.hasOwnProperty('indices')) {
-                                var a = s.onnx.TensorProto.verify(r.indices);
-                                if (a) return 'indices.' + a;
-                            }
-                            if (r.dims != null && r.hasOwnProperty('dims')) {
-                                if (!Array.isArray(r.dims)) return 'dims: array expected';
-                                for (var l = 0; l < r.dims.length; ++l)
-                                    if (
-                                        !n.isInteger(r.dims[l]) &&
-                                        !(r.dims[l] && n.isInteger(r.dims[l].low) && n.isInteger(r.dims[l].high))
-                                    )
-                                        return 'dims: integer|Long[] expected';
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.SparseTensorProto) return r;
-                            var a = new s.onnx.SparseTensorProto();
-                            if (r.values != null) {
-                                if (typeof r.values != 'object')
-                                    throw TypeError('.onnx.SparseTensorProto.values: object expected');
-                                a.values = s.onnx.TensorProto.fromObject(r.values);
-                            }
-                            if (r.indices != null) {
-                                if (typeof r.indices != 'object')
-                                    throw TypeError('.onnx.SparseTensorProto.indices: object expected');
-                                a.indices = s.onnx.TensorProto.fromObject(r.indices);
-                            }
-                            if (r.dims) {
-                                if (!Array.isArray(r.dims))
-                                    throw TypeError('.onnx.SparseTensorProto.dims: array expected');
-                                a.dims = [];
-                                for (var l = 0; l < r.dims.length; ++l)
-                                    n.Long
-                                        ? ((a.dims[l] = n.Long.fromValue(r.dims[l])).unsigned = !1)
-                                        : typeof r.dims[l] == 'string'
-                                        ? (a.dims[l] = parseInt(r.dims[l], 10))
-                                        : typeof r.dims[l] == 'number'
-                                        ? (a.dims[l] = r.dims[l])
-                                        : typeof r.dims[l] == 'object' &&
-                                          (a.dims[l] = new n.LongBits(
-                                              r.dims[l].low >>> 0,
-                                              r.dims[l].high >>> 0
-                                          ).toNumber());
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) && (l.dims = []),
-                                a.defaults && ((l.values = null), (l.indices = null)),
-                                r.values != null &&
-                                    r.hasOwnProperty('values') &&
-                                    (l.values = s.onnx.TensorProto.toObject(r.values, a)),
-                                r.indices != null &&
-                                    r.hasOwnProperty('indices') &&
-                                    (l.indices = s.onnx.TensorProto.toObject(r.indices, a)),
-                                r.dims && r.dims.length)
-                            ) {
-                                l.dims = [];
-                                for (var p = 0; p < r.dims.length; ++p)
-                                    typeof r.dims[p] == 'number'
-                                        ? (l.dims[p] = a.longs === String ? String(r.dims[p]) : r.dims[p])
-                                        : (l.dims[p] =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.dims[p])
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(r.dims[p].low >>> 0, r.dims[p].high >>> 0).toNumber()
-                                                  : r.dims[p]);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.SparseTensorProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.TensorShapeProto = (function () {
-                    function f(r) {
-                        if (((this.dim = []), r))
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.dim = n.emptyArray),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if ((a || (a = u.create()), r.dim != null && r.dim.length))
-                                for (var l = 0; l < r.dim.length; ++l)
-                                    s.onnx.TensorShapeProto.Dimension.encode(r.dim[l], a.uint32(10).fork()).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.TensorShapeProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        (p.dim && p.dim.length) || (p.dim = []),
-                                            p.dim.push(s.onnx.TensorShapeProto.Dimension.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.dim != null && r.hasOwnProperty('dim')) {
-                                if (!Array.isArray(r.dim)) return 'dim: array expected';
-                                for (var a = 0; a < r.dim.length; ++a) {
-                                    var l = s.onnx.TensorShapeProto.Dimension.verify(r.dim[a]);
-                                    if (l) return 'dim.' + l;
-                                }
-                            }
-                            return null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.TensorShapeProto) return r;
-                            var a = new s.onnx.TensorShapeProto();
-                            if (r.dim) {
-                                if (!Array.isArray(r.dim))
-                                    throw TypeError('.onnx.TensorShapeProto.dim: array expected');
-                                a.dim = [];
-                                for (var l = 0; l < r.dim.length; ++l) {
-                                    if (typeof r.dim[l] != 'object')
-                                        throw TypeError('.onnx.TensorShapeProto.dim: object expected');
-                                    a.dim[l] = s.onnx.TensorShapeProto.Dimension.fromObject(r.dim[l]);
-                                }
-                            }
-                            return a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (((a.arrays || a.defaults) && (l.dim = []), r.dim && r.dim.length)) {
-                                l.dim = [];
-                                for (var p = 0; p < r.dim.length; ++p)
-                                    l.dim[p] = s.onnx.TensorShapeProto.Dimension.toObject(r.dim[p], a);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.TensorShapeProto';
-                        }),
-                        (f.Dimension = (function () {
-                            function r(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            (r.prototype.dimValue = null), (r.prototype.dimParam = null), (r.prototype.denotation = '');
-                            var a;
-                            return (
-                                Object.defineProperty(r.prototype, 'value', {
-                                    get: n.oneOfGetter((a = ['dimValue', 'dimParam'])),
-                                    set: n.oneOfSetter(a),
-                                }),
-                                (r.create = function (l) {
-                                    return new r(l);
-                                }),
-                                (r.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.dimValue != null &&
-                                            Object.hasOwnProperty.call(l, 'dimValue') &&
-                                            p.uint32(8).int64(l.dimValue),
-                                        l.dimParam != null &&
-                                            Object.hasOwnProperty.call(l, 'dimParam') &&
-                                            p.uint32(18).string(l.dimParam),
-                                        l.denotation != null &&
-                                            Object.hasOwnProperty.call(l, 'denotation') &&
-                                            p.uint32(26).string(l.denotation),
-                                        p
-                                    );
-                                }),
-                                (r.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (r.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p,
-                                            y = new s.onnx.TensorShapeProto.Dimension();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.dimValue = l.int64();
-                                                break;
-                                            }
-                                            case 2: {
-                                                y.dimParam = l.string();
-                                                break;
-                                            }
-                                            case 3: {
-                                                y.denotation = l.string();
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (r.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (r.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    var p = {};
-                                    if (
-                                        l.dimValue != null &&
-                                        l.hasOwnProperty('dimValue') &&
-                                        ((p.value = 1),
-                                        !n.isInteger(l.dimValue) &&
-                                            !(
-                                                l.dimValue &&
-                                                n.isInteger(l.dimValue.low) &&
-                                                n.isInteger(l.dimValue.high)
-                                            ))
-                                    )
-                                        return 'dimValue: integer|Long expected';
-                                    if (l.dimParam != null && l.hasOwnProperty('dimParam')) {
-                                        if (p.value === 1) return 'value: multiple values';
-                                        if (((p.value = 1), !n.isString(l.dimParam)))
-                                            return 'dimParam: string expected';
-                                    }
-                                    return l.denotation != null &&
-                                        l.hasOwnProperty('denotation') &&
-                                        !n.isString(l.denotation)
-                                        ? 'denotation: string expected'
-                                        : null;
-                                }),
-                                (r.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TensorShapeProto.Dimension) return l;
-                                    var p = new s.onnx.TensorShapeProto.Dimension();
-                                    return (
-                                        l.dimValue != null &&
-                                            (n.Long
-                                                ? ((p.dimValue = n.Long.fromValue(l.dimValue)).unsigned = !1)
-                                                : typeof l.dimValue == 'string'
-                                                ? (p.dimValue = parseInt(l.dimValue, 10))
-                                                : typeof l.dimValue == 'number'
-                                                ? (p.dimValue = l.dimValue)
-                                                : typeof l.dimValue == 'object' &&
-                                                  (p.dimValue = new n.LongBits(
-                                                      l.dimValue.low >>> 0,
-                                                      l.dimValue.high >>> 0
-                                                  ).toNumber())),
-                                        l.dimParam != null && (p.dimParam = String(l.dimParam)),
-                                        l.denotation != null && (p.denotation = String(l.denotation)),
-                                        p
-                                    );
-                                }),
-                                (r.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && (m.denotation = ''),
-                                        l.dimValue != null &&
-                                            l.hasOwnProperty('dimValue') &&
-                                            (typeof l.dimValue == 'number'
-                                                ? (m.dimValue = p.longs === String ? String(l.dimValue) : l.dimValue)
-                                                : (m.dimValue =
-                                                      p.longs === String
-                                                          ? n.Long.prototype.toString.call(l.dimValue)
-                                                          : p.longs === Number
-                                                          ? new n.LongBits(
-                                                                l.dimValue.low >>> 0,
-                                                                l.dimValue.high >>> 0
-                                                            ).toNumber()
-                                                          : l.dimValue),
-                                            p.oneofs && (m.value = 'dimValue')),
-                                        l.dimParam != null &&
-                                            l.hasOwnProperty('dimParam') &&
-                                            ((m.dimParam = l.dimParam), p.oneofs && (m.value = 'dimParam')),
-                                        l.denotation != null &&
-                                            l.hasOwnProperty('denotation') &&
-                                            (m.denotation = l.denotation),
-                                        m
-                                    );
-                                }),
-                                (r.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (r.getTypeUrl = function (l) {
-                                    return (
-                                        l === void 0 && (l = 'type.googleapis.com'),
-                                        l + '/onnx.TensorShapeProto.Dimension'
-                                    );
-                                }),
-                                r
-                            );
-                        })()),
-                        f
-                    );
-                })()),
-                (d.TypeProto = (function () {
-                    function f(a) {
-                        if (a)
-                            for (var l = Object.keys(a), p = 0; p < l.length; ++p)
-                                a[l[p]] != null && (this[l[p]] = a[l[p]]);
-                    }
-                    (f.prototype.tensorType = null),
-                        (f.prototype.sequenceType = null),
-                        (f.prototype.mapType = null),
-                        (f.prototype.optionalType = null),
-                        (f.prototype.sparseTensorType = null),
-                        (f.prototype.denotation = '');
-                    var r;
-                    return (
-                        Object.defineProperty(f.prototype, 'value', {
-                            get: n.oneOfGetter(
-                                (r = ['tensorType', 'sequenceType', 'mapType', 'optionalType', 'sparseTensorType'])
-                            ),
-                            set: n.oneOfSetter(r),
-                        }),
-                        (f.create = function (a) {
-                            return new f(a);
-                        }),
-                        (f.encode = function (a, l) {
-                            return (
-                                l || (l = u.create()),
-                                a.tensorType != null &&
-                                    Object.hasOwnProperty.call(a, 'tensorType') &&
-                                    s.onnx.TypeProto.Tensor.encode(a.tensorType, l.uint32(10).fork()).ldelim(),
-                                a.sequenceType != null &&
-                                    Object.hasOwnProperty.call(a, 'sequenceType') &&
-                                    s.onnx.TypeProto.Sequence.encode(a.sequenceType, l.uint32(34).fork()).ldelim(),
-                                a.mapType != null &&
-                                    Object.hasOwnProperty.call(a, 'mapType') &&
-                                    s.onnx.TypeProto.Map.encode(a.mapType, l.uint32(42).fork()).ldelim(),
-                                a.denotation != null &&
-                                    Object.hasOwnProperty.call(a, 'denotation') &&
-                                    l.uint32(50).string(a.denotation),
-                                a.sparseTensorType != null &&
-                                    Object.hasOwnProperty.call(a, 'sparseTensorType') &&
-                                    s.onnx.TypeProto.SparseTensor.encode(
-                                        a.sparseTensorType,
-                                        l.uint32(66).fork()
-                                    ).ldelim(),
-                                a.optionalType != null &&
-                                    Object.hasOwnProperty.call(a, 'optionalType') &&
-                                    s.onnx.TypeProto.Optional.encode(a.optionalType, l.uint32(74).fork()).ldelim(),
-                                l
-                            );
-                        }),
-                        (f.encodeDelimited = function (a, l) {
-                            return this.encode(a, l).ldelim();
-                        }),
-                        (f.decode = function (a, l) {
-                            a instanceof i || (a = i.create(a));
-                            for (var p = l === void 0 ? a.len : a.pos + l, m = new s.onnx.TypeProto(); a.pos < p; ) {
-                                var y = a.uint32();
-                                switch (y >>> 3) {
-                                    case 1: {
-                                        m.tensorType = s.onnx.TypeProto.Tensor.decode(a, a.uint32());
-                                        break;
-                                    }
-                                    case 4: {
-                                        m.sequenceType = s.onnx.TypeProto.Sequence.decode(a, a.uint32());
-                                        break;
-                                    }
-                                    case 5: {
-                                        m.mapType = s.onnx.TypeProto.Map.decode(a, a.uint32());
-                                        break;
-                                    }
-                                    case 9: {
-                                        m.optionalType = s.onnx.TypeProto.Optional.decode(a, a.uint32());
-                                        break;
-                                    }
-                                    case 8: {
-                                        m.sparseTensorType = s.onnx.TypeProto.SparseTensor.decode(a, a.uint32());
-                                        break;
-                                    }
-                                    case 6: {
-                                        m.denotation = a.string();
-                                        break;
-                                    }
-                                    default:
-                                        a.skipType(y & 7);
-                                        break;
-                                }
-                            }
-                            return m;
-                        }),
-                        (f.decodeDelimited = function (a) {
-                            return a instanceof i || (a = new i(a)), this.decode(a, a.uint32());
-                        }),
-                        (f.verify = function (a) {
-                            if (typeof a != 'object' || a === null) return 'object expected';
-                            var l = {};
-                            if (a.tensorType != null && a.hasOwnProperty('tensorType')) {
-                                l.value = 1;
-                                {
-                                    var p = s.onnx.TypeProto.Tensor.verify(a.tensorType);
-                                    if (p) return 'tensorType.' + p;
-                                }
-                            }
-                            if (a.sequenceType != null && a.hasOwnProperty('sequenceType')) {
-                                if (l.value === 1) return 'value: multiple values';
-                                l.value = 1;
-                                {
-                                    var p = s.onnx.TypeProto.Sequence.verify(a.sequenceType);
-                                    if (p) return 'sequenceType.' + p;
-                                }
-                            }
-                            if (a.mapType != null && a.hasOwnProperty('mapType')) {
-                                if (l.value === 1) return 'value: multiple values';
-                                l.value = 1;
-                                {
-                                    var p = s.onnx.TypeProto.Map.verify(a.mapType);
-                                    if (p) return 'mapType.' + p;
-                                }
-                            }
-                            if (a.optionalType != null && a.hasOwnProperty('optionalType')) {
-                                if (l.value === 1) return 'value: multiple values';
-                                l.value = 1;
-                                {
-                                    var p = s.onnx.TypeProto.Optional.verify(a.optionalType);
-                                    if (p) return 'optionalType.' + p;
-                                }
-                            }
-                            if (a.sparseTensorType != null && a.hasOwnProperty('sparseTensorType')) {
-                                if (l.value === 1) return 'value: multiple values';
-                                l.value = 1;
-                                {
-                                    var p = s.onnx.TypeProto.SparseTensor.verify(a.sparseTensorType);
-                                    if (p) return 'sparseTensorType.' + p;
-                                }
-                            }
-                            return a.denotation != null && a.hasOwnProperty('denotation') && !n.isString(a.denotation)
-                                ? 'denotation: string expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (a) {
-                            if (a instanceof s.onnx.TypeProto) return a;
-                            var l = new s.onnx.TypeProto();
-                            if (a.tensorType != null) {
-                                if (typeof a.tensorType != 'object')
-                                    throw TypeError('.onnx.TypeProto.tensorType: object expected');
-                                l.tensorType = s.onnx.TypeProto.Tensor.fromObject(a.tensorType);
-                            }
-                            if (a.sequenceType != null) {
-                                if (typeof a.sequenceType != 'object')
-                                    throw TypeError('.onnx.TypeProto.sequenceType: object expected');
-                                l.sequenceType = s.onnx.TypeProto.Sequence.fromObject(a.sequenceType);
-                            }
-                            if (a.mapType != null) {
-                                if (typeof a.mapType != 'object')
-                                    throw TypeError('.onnx.TypeProto.mapType: object expected');
-                                l.mapType = s.onnx.TypeProto.Map.fromObject(a.mapType);
-                            }
-                            if (a.optionalType != null) {
-                                if (typeof a.optionalType != 'object')
-                                    throw TypeError('.onnx.TypeProto.optionalType: object expected');
-                                l.optionalType = s.onnx.TypeProto.Optional.fromObject(a.optionalType);
-                            }
-                            if (a.sparseTensorType != null) {
-                                if (typeof a.sparseTensorType != 'object')
-                                    throw TypeError('.onnx.TypeProto.sparseTensorType: object expected');
-                                l.sparseTensorType = s.onnx.TypeProto.SparseTensor.fromObject(a.sparseTensorType);
-                            }
-                            return a.denotation != null && (l.denotation = String(a.denotation)), l;
-                        }),
-                        (f.toObject = function (a, l) {
-                            l || (l = {});
-                            var p = {};
-                            return (
-                                l.defaults && (p.denotation = ''),
-                                a.tensorType != null &&
-                                    a.hasOwnProperty('tensorType') &&
-                                    ((p.tensorType = s.onnx.TypeProto.Tensor.toObject(a.tensorType, l)),
-                                    l.oneofs && (p.value = 'tensorType')),
-                                a.sequenceType != null &&
-                                    a.hasOwnProperty('sequenceType') &&
-                                    ((p.sequenceType = s.onnx.TypeProto.Sequence.toObject(a.sequenceType, l)),
-                                    l.oneofs && (p.value = 'sequenceType')),
-                                a.mapType != null &&
-                                    a.hasOwnProperty('mapType') &&
-                                    ((p.mapType = s.onnx.TypeProto.Map.toObject(a.mapType, l)),
-                                    l.oneofs && (p.value = 'mapType')),
-                                a.denotation != null && a.hasOwnProperty('denotation') && (p.denotation = a.denotation),
-                                a.sparseTensorType != null &&
-                                    a.hasOwnProperty('sparseTensorType') &&
-                                    ((p.sparseTensorType = s.onnx.TypeProto.SparseTensor.toObject(
-                                        a.sparseTensorType,
-                                        l
-                                    )),
-                                    l.oneofs && (p.value = 'sparseTensorType')),
-                                a.optionalType != null &&
-                                    a.hasOwnProperty('optionalType') &&
-                                    ((p.optionalType = s.onnx.TypeProto.Optional.toObject(a.optionalType, l)),
-                                    l.oneofs && (p.value = 'optionalType')),
-                                p
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (a) {
-                            return a === void 0 && (a = 'type.googleapis.com'), a + '/onnx.TypeProto';
-                        }),
-                        (f.Tensor = (function () {
-                            function a(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            return (
-                                (a.prototype.elemType = 0),
-                                (a.prototype.shape = null),
-                                (a.create = function (l) {
-                                    return new a(l);
-                                }),
-                                (a.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.elemType != null &&
-                                            Object.hasOwnProperty.call(l, 'elemType') &&
-                                            p.uint32(8).int32(l.elemType),
-                                        l.shape != null &&
-                                            Object.hasOwnProperty.call(l, 'shape') &&
-                                            s.onnx.TensorShapeProto.encode(l.shape, p.uint32(18).fork()).ldelim(),
-                                        p
-                                    );
-                                }),
-                                (a.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (a.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Tensor();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.elemType = l.int32();
-                                                break;
-                                            }
-                                            case 2: {
-                                                y.shape = s.onnx.TensorShapeProto.decode(l, l.uint32());
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (a.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (a.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    if (l.elemType != null && l.hasOwnProperty('elemType') && !n.isInteger(l.elemType))
-                                        return 'elemType: integer expected';
-                                    if (l.shape != null && l.hasOwnProperty('shape')) {
-                                        var p = s.onnx.TensorShapeProto.verify(l.shape);
-                                        if (p) return 'shape.' + p;
-                                    }
-                                    return null;
-                                }),
-                                (a.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TypeProto.Tensor) return l;
-                                    var p = new s.onnx.TypeProto.Tensor();
-                                    if ((l.elemType != null && (p.elemType = l.elemType | 0), l.shape != null)) {
-                                        if (typeof l.shape != 'object')
-                                            throw TypeError('.onnx.TypeProto.Tensor.shape: object expected');
-                                        p.shape = s.onnx.TensorShapeProto.fromObject(l.shape);
-                                    }
-                                    return p;
-                                }),
-                                (a.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && ((m.elemType = 0), (m.shape = null)),
-                                        l.elemType != null && l.hasOwnProperty('elemType') && (m.elemType = l.elemType),
-                                        l.shape != null &&
-                                            l.hasOwnProperty('shape') &&
-                                            (m.shape = s.onnx.TensorShapeProto.toObject(l.shape, p)),
-                                        m
-                                    );
-                                }),
-                                (a.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (a.getTypeUrl = function (l) {
-                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Tensor';
-                                }),
-                                a
-                            );
-                        })()),
-                        (f.Sequence = (function () {
-                            function a(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            return (
-                                (a.prototype.elemType = null),
-                                (a.create = function (l) {
-                                    return new a(l);
-                                }),
-                                (a.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.elemType != null &&
-                                            Object.hasOwnProperty.call(l, 'elemType') &&
-                                            s.onnx.TypeProto.encode(l.elemType, p.uint32(10).fork()).ldelim(),
-                                        p
-                                    );
-                                }),
-                                (a.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (a.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Sequence();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.elemType = s.onnx.TypeProto.decode(l, l.uint32());
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (a.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (a.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    if (l.elemType != null && l.hasOwnProperty('elemType')) {
-                                        var p = s.onnx.TypeProto.verify(l.elemType);
-                                        if (p) return 'elemType.' + p;
-                                    }
-                                    return null;
-                                }),
-                                (a.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TypeProto.Sequence) return l;
-                                    var p = new s.onnx.TypeProto.Sequence();
-                                    if (l.elemType != null) {
-                                        if (typeof l.elemType != 'object')
-                                            throw TypeError('.onnx.TypeProto.Sequence.elemType: object expected');
-                                        p.elemType = s.onnx.TypeProto.fromObject(l.elemType);
-                                    }
-                                    return p;
-                                }),
-                                (a.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && (m.elemType = null),
-                                        l.elemType != null &&
-                                            l.hasOwnProperty('elemType') &&
-                                            (m.elemType = s.onnx.TypeProto.toObject(l.elemType, p)),
-                                        m
-                                    );
-                                }),
-                                (a.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (a.getTypeUrl = function (l) {
-                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Sequence';
-                                }),
-                                a
-                            );
-                        })()),
-                        (f.Map = (function () {
-                            function a(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            return (
-                                (a.prototype.keyType = 0),
-                                (a.prototype.valueType = null),
-                                (a.create = function (l) {
-                                    return new a(l);
-                                }),
-                                (a.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.keyType != null &&
-                                            Object.hasOwnProperty.call(l, 'keyType') &&
-                                            p.uint32(8).int32(l.keyType),
-                                        l.valueType != null &&
-                                            Object.hasOwnProperty.call(l, 'valueType') &&
-                                            s.onnx.TypeProto.encode(l.valueType, p.uint32(18).fork()).ldelim(),
-                                        p
-                                    );
-                                }),
-                                (a.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (a.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Map();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.keyType = l.int32();
-                                                break;
-                                            }
-                                            case 2: {
-                                                y.valueType = s.onnx.TypeProto.decode(l, l.uint32());
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (a.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (a.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    if (l.keyType != null && l.hasOwnProperty('keyType') && !n.isInteger(l.keyType))
-                                        return 'keyType: integer expected';
-                                    if (l.valueType != null && l.hasOwnProperty('valueType')) {
-                                        var p = s.onnx.TypeProto.verify(l.valueType);
-                                        if (p) return 'valueType.' + p;
-                                    }
-                                    return null;
-                                }),
-                                (a.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TypeProto.Map) return l;
-                                    var p = new s.onnx.TypeProto.Map();
-                                    if ((l.keyType != null && (p.keyType = l.keyType | 0), l.valueType != null)) {
-                                        if (typeof l.valueType != 'object')
-                                            throw TypeError('.onnx.TypeProto.Map.valueType: object expected');
-                                        p.valueType = s.onnx.TypeProto.fromObject(l.valueType);
-                                    }
-                                    return p;
-                                }),
-                                (a.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && ((m.keyType = 0), (m.valueType = null)),
-                                        l.keyType != null && l.hasOwnProperty('keyType') && (m.keyType = l.keyType),
-                                        l.valueType != null &&
-                                            l.hasOwnProperty('valueType') &&
-                                            (m.valueType = s.onnx.TypeProto.toObject(l.valueType, p)),
-                                        m
-                                    );
-                                }),
-                                (a.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (a.getTypeUrl = function (l) {
-                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Map';
-                                }),
-                                a
-                            );
-                        })()),
-                        (f.Optional = (function () {
-                            function a(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            return (
-                                (a.prototype.elemType = null),
-                                (a.create = function (l) {
-                                    return new a(l);
-                                }),
-                                (a.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.elemType != null &&
-                                            Object.hasOwnProperty.call(l, 'elemType') &&
-                                            s.onnx.TypeProto.encode(l.elemType, p.uint32(10).fork()).ldelim(),
-                                        p
-                                    );
-                                }),
-                                (a.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (a.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p, y = new s.onnx.TypeProto.Optional();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.elemType = s.onnx.TypeProto.decode(l, l.uint32());
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (a.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (a.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    if (l.elemType != null && l.hasOwnProperty('elemType')) {
-                                        var p = s.onnx.TypeProto.verify(l.elemType);
-                                        if (p) return 'elemType.' + p;
-                                    }
-                                    return null;
-                                }),
-                                (a.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TypeProto.Optional) return l;
-                                    var p = new s.onnx.TypeProto.Optional();
-                                    if (l.elemType != null) {
-                                        if (typeof l.elemType != 'object')
-                                            throw TypeError('.onnx.TypeProto.Optional.elemType: object expected');
-                                        p.elemType = s.onnx.TypeProto.fromObject(l.elemType);
-                                    }
-                                    return p;
-                                }),
-                                (a.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && (m.elemType = null),
-                                        l.elemType != null &&
-                                            l.hasOwnProperty('elemType') &&
-                                            (m.elemType = s.onnx.TypeProto.toObject(l.elemType, p)),
-                                        m
-                                    );
-                                }),
-                                (a.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (a.getTypeUrl = function (l) {
-                                    return l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.Optional';
-                                }),
-                                a
-                            );
-                        })()),
-                        (f.SparseTensor = (function () {
-                            function a(l) {
-                                if (l)
-                                    for (var p = Object.keys(l), m = 0; m < p.length; ++m)
-                                        l[p[m]] != null && (this[p[m]] = l[p[m]]);
-                            }
-                            return (
-                                (a.prototype.elemType = 0),
-                                (a.prototype.shape = null),
-                                (a.create = function (l) {
-                                    return new a(l);
-                                }),
-                                (a.encode = function (l, p) {
-                                    return (
-                                        p || (p = u.create()),
-                                        l.elemType != null &&
-                                            Object.hasOwnProperty.call(l, 'elemType') &&
-                                            p.uint32(8).int32(l.elemType),
-                                        l.shape != null &&
-                                            Object.hasOwnProperty.call(l, 'shape') &&
-                                            s.onnx.TensorShapeProto.encode(l.shape, p.uint32(18).fork()).ldelim(),
-                                        p
-                                    );
-                                }),
-                                (a.encodeDelimited = function (l, p) {
-                                    return this.encode(l, p).ldelim();
-                                }),
-                                (a.decode = function (l, p) {
-                                    l instanceof i || (l = i.create(l));
-                                    for (
-                                        var m = p === void 0 ? l.len : l.pos + p,
-                                            y = new s.onnx.TypeProto.SparseTensor();
-                                        l.pos < m;
-
-                                    ) {
-                                        var T = l.uint32();
-                                        switch (T >>> 3) {
-                                            case 1: {
-                                                y.elemType = l.int32();
-                                                break;
-                                            }
-                                            case 2: {
-                                                y.shape = s.onnx.TensorShapeProto.decode(l, l.uint32());
-                                                break;
-                                            }
-                                            default:
-                                                l.skipType(T & 7);
-                                                break;
-                                        }
-                                    }
-                                    return y;
-                                }),
-                                (a.decodeDelimited = function (l) {
-                                    return l instanceof i || (l = new i(l)), this.decode(l, l.uint32());
-                                }),
-                                (a.verify = function (l) {
-                                    if (typeof l != 'object' || l === null) return 'object expected';
-                                    if (l.elemType != null && l.hasOwnProperty('elemType') && !n.isInteger(l.elemType))
-                                        return 'elemType: integer expected';
-                                    if (l.shape != null && l.hasOwnProperty('shape')) {
-                                        var p = s.onnx.TensorShapeProto.verify(l.shape);
-                                        if (p) return 'shape.' + p;
-                                    }
-                                    return null;
-                                }),
-                                (a.fromObject = function (l) {
-                                    if (l instanceof s.onnx.TypeProto.SparseTensor) return l;
-                                    var p = new s.onnx.TypeProto.SparseTensor();
-                                    if ((l.elemType != null && (p.elemType = l.elemType | 0), l.shape != null)) {
-                                        if (typeof l.shape != 'object')
-                                            throw TypeError('.onnx.TypeProto.SparseTensor.shape: object expected');
-                                        p.shape = s.onnx.TensorShapeProto.fromObject(l.shape);
-                                    }
-                                    return p;
-                                }),
-                                (a.toObject = function (l, p) {
-                                    p || (p = {});
-                                    var m = {};
-                                    return (
-                                        p.defaults && ((m.elemType = 0), (m.shape = null)),
-                                        l.elemType != null && l.hasOwnProperty('elemType') && (m.elemType = l.elemType),
-                                        l.shape != null &&
-                                            l.hasOwnProperty('shape') &&
-                                            (m.shape = s.onnx.TensorShapeProto.toObject(l.shape, p)),
-                                        m
-                                    );
-                                }),
-                                (a.prototype.toJSON = function () {
-                                    return this.constructor.toObject(this, o.util.toJSONOptions);
-                                }),
-                                (a.getTypeUrl = function (l) {
-                                    return (
-                                        l === void 0 && (l = 'type.googleapis.com'), l + '/onnx.TypeProto.SparseTensor'
-                                    );
-                                }),
-                                a
-                            );
-                        })()),
-                        f
-                    );
-                })()),
-                (d.OperatorSetIdProto = (function () {
-                    function f(r) {
-                        if (r)
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.domain = ''),
-                        (f.prototype.version = n.Long ? n.Long.fromBits(0, 0, !1) : 0),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            return (
-                                a || (a = u.create()),
-                                r.domain != null &&
-                                    Object.hasOwnProperty.call(r, 'domain') &&
-                                    a.uint32(10).string(r.domain),
-                                r.version != null &&
-                                    Object.hasOwnProperty.call(r, 'version') &&
-                                    a.uint32(16).int64(r.version),
-                                a
-                            );
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.OperatorSetIdProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.domain = r.string();
-                                        break;
-                                    }
-                                    case 2: {
-                                        p.version = r.int64();
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            return typeof r != 'object' || r === null
-                                ? 'object expected'
-                                : r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain)
-                                ? 'domain: string expected'
-                                : r.version != null &&
-                                  r.hasOwnProperty('version') &&
-                                  !n.isInteger(r.version) &&
-                                  !(r.version && n.isInteger(r.version.low) && n.isInteger(r.version.high))
-                                ? 'version: integer|Long expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.OperatorSetIdProto) return r;
-                            var a = new s.onnx.OperatorSetIdProto();
-                            return (
-                                r.domain != null && (a.domain = String(r.domain)),
-                                r.version != null &&
-                                    (n.Long
-                                        ? ((a.version = n.Long.fromValue(r.version)).unsigned = !1)
-                                        : typeof r.version == 'string'
-                                        ? (a.version = parseInt(r.version, 10))
-                                        : typeof r.version == 'number'
-                                        ? (a.version = r.version)
-                                        : typeof r.version == 'object' &&
-                                          (a.version = new n.LongBits(
-                                              r.version.low >>> 0,
-                                              r.version.high >>> 0
-                                          ).toNumber())),
-                                a
-                            );
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (a.defaults)
-                                if (((l.domain = ''), n.Long)) {
-                                    var p = new n.Long(0, 0, !1);
-                                    l.version =
-                                        a.longs === String ? p.toString() : a.longs === Number ? p.toNumber() : p;
-                                } else l.version = a.longs === String ? '0' : 0;
-                            return (
-                                r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
-                                r.version != null &&
-                                    r.hasOwnProperty('version') &&
-                                    (typeof r.version == 'number'
-                                        ? (l.version = a.longs === String ? String(r.version) : r.version)
-                                        : (l.version =
-                                              a.longs === String
-                                                  ? n.Long.prototype.toString.call(r.version)
-                                                  : a.longs === Number
-                                                  ? new n.LongBits(r.version.low >>> 0, r.version.high >>> 0).toNumber()
-                                                  : r.version)),
-                                l
-                            );
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.OperatorSetIdProto';
-                        }),
-                        f
-                    );
-                })()),
-                (d.OperatorStatus = (function () {
-                    var f = {},
-                        r = Object.create(f);
-                    return (r[(f[0] = 'EXPERIMENTAL')] = 0), (r[(f[1] = 'STABLE')] = 1), r;
-                })()),
-                (d.FunctionProto = (function () {
-                    function f(r) {
-                        if (
-                            ((this.input = []),
-                            (this.output = []),
-                            (this.attribute = []),
-                            (this.attributeProto = []),
-                            (this.node = []),
-                            (this.opsetImport = []),
-                            r)
-                        )
-                            for (var a = Object.keys(r), l = 0; l < a.length; ++l)
-                                r[a[l]] != null && (this[a[l]] = r[a[l]]);
-                    }
-                    return (
-                        (f.prototype.name = ''),
-                        (f.prototype.input = n.emptyArray),
-                        (f.prototype.output = n.emptyArray),
-                        (f.prototype.attribute = n.emptyArray),
-                        (f.prototype.attributeProto = n.emptyArray),
-                        (f.prototype.node = n.emptyArray),
-                        (f.prototype.docString = ''),
-                        (f.prototype.opsetImport = n.emptyArray),
-                        (f.prototype.domain = ''),
-                        (f.create = function (r) {
-                            return new f(r);
-                        }),
-                        (f.encode = function (r, a) {
-                            if (
-                                (a || (a = u.create()),
-                                r.name != null && Object.hasOwnProperty.call(r, 'name') && a.uint32(10).string(r.name),
-                                r.input != null && r.input.length)
-                            )
-                                for (var l = 0; l < r.input.length; ++l) a.uint32(34).string(r.input[l]);
-                            if (r.output != null && r.output.length)
-                                for (var l = 0; l < r.output.length; ++l) a.uint32(42).string(r.output[l]);
-                            if (r.attribute != null && r.attribute.length)
-                                for (var l = 0; l < r.attribute.length; ++l) a.uint32(50).string(r.attribute[l]);
-                            if (r.node != null && r.node.length)
-                                for (var l = 0; l < r.node.length; ++l)
-                                    s.onnx.NodeProto.encode(r.node[l], a.uint32(58).fork()).ldelim();
-                            if (
-                                (r.docString != null &&
-                                    Object.hasOwnProperty.call(r, 'docString') &&
-                                    a.uint32(66).string(r.docString),
-                                r.opsetImport != null && r.opsetImport.length)
-                            )
-                                for (var l = 0; l < r.opsetImport.length; ++l)
-                                    s.onnx.OperatorSetIdProto.encode(r.opsetImport[l], a.uint32(74).fork()).ldelim();
-                            if (
-                                (r.domain != null &&
-                                    Object.hasOwnProperty.call(r, 'domain') &&
-                                    a.uint32(82).string(r.domain),
-                                r.attributeProto != null && r.attributeProto.length)
-                            )
-                                for (var l = 0; l < r.attributeProto.length; ++l)
-                                    s.onnx.AttributeProto.encode(r.attributeProto[l], a.uint32(90).fork()).ldelim();
-                            return a;
-                        }),
-                        (f.encodeDelimited = function (r, a) {
-                            return this.encode(r, a).ldelim();
-                        }),
-                        (f.decode = function (r, a) {
-                            r instanceof i || (r = i.create(r));
-                            for (
-                                var l = a === void 0 ? r.len : r.pos + a, p = new s.onnx.FunctionProto();
-                                r.pos < l;
-
-                            ) {
-                                var m = r.uint32();
-                                switch (m >>> 3) {
-                                    case 1: {
-                                        p.name = r.string();
-                                        break;
-                                    }
-                                    case 4: {
-                                        (p.input && p.input.length) || (p.input = []), p.input.push(r.string());
-                                        break;
-                                    }
-                                    case 5: {
-                                        (p.output && p.output.length) || (p.output = []), p.output.push(r.string());
-                                        break;
-                                    }
-                                    case 6: {
-                                        (p.attribute && p.attribute.length) || (p.attribute = []),
-                                            p.attribute.push(r.string());
-                                        break;
-                                    }
-                                    case 11: {
-                                        (p.attributeProto && p.attributeProto.length) || (p.attributeProto = []),
-                                            p.attributeProto.push(s.onnx.AttributeProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 7: {
-                                        (p.node && p.node.length) || (p.node = []),
-                                            p.node.push(s.onnx.NodeProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 8: {
-                                        p.docString = r.string();
-                                        break;
-                                    }
-                                    case 9: {
-                                        (p.opsetImport && p.opsetImport.length) || (p.opsetImport = []),
-                                            p.opsetImport.push(s.onnx.OperatorSetIdProto.decode(r, r.uint32()));
-                                        break;
-                                    }
-                                    case 10: {
-                                        p.domain = r.string();
-                                        break;
-                                    }
-                                    default:
-                                        r.skipType(m & 7);
-                                        break;
-                                }
-                            }
-                            return p;
-                        }),
-                        (f.decodeDelimited = function (r) {
-                            return r instanceof i || (r = new i(r)), this.decode(r, r.uint32());
-                        }),
-                        (f.verify = function (r) {
-                            if (typeof r != 'object' || r === null) return 'object expected';
-                            if (r.name != null && r.hasOwnProperty('name') && !n.isString(r.name))
-                                return 'name: string expected';
-                            if (r.input != null && r.hasOwnProperty('input')) {
-                                if (!Array.isArray(r.input)) return 'input: array expected';
-                                for (var a = 0; a < r.input.length; ++a)
-                                    if (!n.isString(r.input[a])) return 'input: string[] expected';
-                            }
-                            if (r.output != null && r.hasOwnProperty('output')) {
-                                if (!Array.isArray(r.output)) return 'output: array expected';
-                                for (var a = 0; a < r.output.length; ++a)
-                                    if (!n.isString(r.output[a])) return 'output: string[] expected';
-                            }
-                            if (r.attribute != null && r.hasOwnProperty('attribute')) {
-                                if (!Array.isArray(r.attribute)) return 'attribute: array expected';
-                                for (var a = 0; a < r.attribute.length; ++a)
-                                    if (!n.isString(r.attribute[a])) return 'attribute: string[] expected';
-                            }
-                            if (r.attributeProto != null && r.hasOwnProperty('attributeProto')) {
-                                if (!Array.isArray(r.attributeProto)) return 'attributeProto: array expected';
-                                for (var a = 0; a < r.attributeProto.length; ++a) {
-                                    var l = s.onnx.AttributeProto.verify(r.attributeProto[a]);
-                                    if (l) return 'attributeProto.' + l;
-                                }
-                            }
-                            if (r.node != null && r.hasOwnProperty('node')) {
-                                if (!Array.isArray(r.node)) return 'node: array expected';
-                                for (var a = 0; a < r.node.length; ++a) {
-                                    var l = s.onnx.NodeProto.verify(r.node[a]);
-                                    if (l) return 'node.' + l;
-                                }
-                            }
-                            if (r.docString != null && r.hasOwnProperty('docString') && !n.isString(r.docString))
-                                return 'docString: string expected';
-                            if (r.opsetImport != null && r.hasOwnProperty('opsetImport')) {
-                                if (!Array.isArray(r.opsetImport)) return 'opsetImport: array expected';
-                                for (var a = 0; a < r.opsetImport.length; ++a) {
-                                    var l = s.onnx.OperatorSetIdProto.verify(r.opsetImport[a]);
-                                    if (l) return 'opsetImport.' + l;
-                                }
-                            }
-                            return r.domain != null && r.hasOwnProperty('domain') && !n.isString(r.domain)
-                                ? 'domain: string expected'
-                                : null;
-                        }),
-                        (f.fromObject = function (r) {
-                            if (r instanceof s.onnx.FunctionProto) return r;
-                            var a = new s.onnx.FunctionProto();
-                            if ((r.name != null && (a.name = String(r.name)), r.input)) {
-                                if (!Array.isArray(r.input))
-                                    throw TypeError('.onnx.FunctionProto.input: array expected');
-                                a.input = [];
-                                for (var l = 0; l < r.input.length; ++l) a.input[l] = String(r.input[l]);
-                            }
-                            if (r.output) {
-                                if (!Array.isArray(r.output))
-                                    throw TypeError('.onnx.FunctionProto.output: array expected');
-                                a.output = [];
-                                for (var l = 0; l < r.output.length; ++l) a.output[l] = String(r.output[l]);
-                            }
-                            if (r.attribute) {
-                                if (!Array.isArray(r.attribute))
-                                    throw TypeError('.onnx.FunctionProto.attribute: array expected');
-                                a.attribute = [];
-                                for (var l = 0; l < r.attribute.length; ++l) a.attribute[l] = String(r.attribute[l]);
-                            }
-                            if (r.attributeProto) {
-                                if (!Array.isArray(r.attributeProto))
-                                    throw TypeError('.onnx.FunctionProto.attributeProto: array expected');
-                                a.attributeProto = [];
-                                for (var l = 0; l < r.attributeProto.length; ++l) {
-                                    if (typeof r.attributeProto[l] != 'object')
-                                        throw TypeError('.onnx.FunctionProto.attributeProto: object expected');
-                                    a.attributeProto[l] = s.onnx.AttributeProto.fromObject(r.attributeProto[l]);
-                                }
-                            }
-                            if (r.node) {
-                                if (!Array.isArray(r.node)) throw TypeError('.onnx.FunctionProto.node: array expected');
-                                a.node = [];
-                                for (var l = 0; l < r.node.length; ++l) {
-                                    if (typeof r.node[l] != 'object')
-                                        throw TypeError('.onnx.FunctionProto.node: object expected');
-                                    a.node[l] = s.onnx.NodeProto.fromObject(r.node[l]);
-                                }
-                            }
-                            if ((r.docString != null && (a.docString = String(r.docString)), r.opsetImport)) {
-                                if (!Array.isArray(r.opsetImport))
-                                    throw TypeError('.onnx.FunctionProto.opsetImport: array expected');
-                                a.opsetImport = [];
-                                for (var l = 0; l < r.opsetImport.length; ++l) {
-                                    if (typeof r.opsetImport[l] != 'object')
-                                        throw TypeError('.onnx.FunctionProto.opsetImport: object expected');
-                                    a.opsetImport[l] = s.onnx.OperatorSetIdProto.fromObject(r.opsetImport[l]);
-                                }
-                            }
-                            return r.domain != null && (a.domain = String(r.domain)), a;
-                        }),
-                        (f.toObject = function (r, a) {
-                            a || (a = {});
-                            var l = {};
-                            if (
-                                ((a.arrays || a.defaults) &&
-                                    ((l.input = []),
-                                    (l.output = []),
-                                    (l.attribute = []),
-                                    (l.node = []),
-                                    (l.opsetImport = []),
-                                    (l.attributeProto = [])),
-                                a.defaults && ((l.name = ''), (l.docString = ''), (l.domain = '')),
-                                r.name != null && r.hasOwnProperty('name') && (l.name = r.name),
-                                r.input && r.input.length)
-                            ) {
-                                l.input = [];
-                                for (var p = 0; p < r.input.length; ++p) l.input[p] = r.input[p];
-                            }
-                            if (r.output && r.output.length) {
-                                l.output = [];
-                                for (var p = 0; p < r.output.length; ++p) l.output[p] = r.output[p];
-                            }
-                            if (r.attribute && r.attribute.length) {
-                                l.attribute = [];
-                                for (var p = 0; p < r.attribute.length; ++p) l.attribute[p] = r.attribute[p];
-                            }
-                            if (r.node && r.node.length) {
-                                l.node = [];
-                                for (var p = 0; p < r.node.length; ++p)
-                                    l.node[p] = s.onnx.NodeProto.toObject(r.node[p], a);
-                            }
-                            if (
-                                (r.docString != null && r.hasOwnProperty('docString') && (l.docString = r.docString),
-                                r.opsetImport && r.opsetImport.length)
-                            ) {
-                                l.opsetImport = [];
-                                for (var p = 0; p < r.opsetImport.length; ++p)
-                                    l.opsetImport[p] = s.onnx.OperatorSetIdProto.toObject(r.opsetImport[p], a);
-                            }
-                            if (
-                                (r.domain != null && r.hasOwnProperty('domain') && (l.domain = r.domain),
-                                r.attributeProto && r.attributeProto.length)
-                            ) {
-                                l.attributeProto = [];
-                                for (var p = 0; p < r.attributeProto.length; ++p)
-                                    l.attributeProto[p] = s.onnx.AttributeProto.toObject(r.attributeProto[p], a);
-                            }
-                            return l;
-                        }),
-                        (f.prototype.toJSON = function () {
-                            return this.constructor.toObject(this, o.util.toJSONOptions);
-                        }),
-                        (f.getTypeUrl = function (r) {
-                            return r === void 0 && (r = 'type.googleapis.com'), r + '/onnx.FunctionProto';
-                        }),
-                        f
-                    );
-                })()),
-                d
-            );
-        })()),
-            (e.exports = s);
-    });
-function Cr(t, e) {
-    if (!t) throw new Error(typeof e == 'string' ? e : e());
-}
-function sn(t) {
-    return new TextDecoder().decode(t);
-}
-var ye,
-    cr,
-    hi,
-    Xe,
-    Xn,
-    Ve,
-    nt,
-    U,
-    an,
-    pr,
-    dr,
-    hr,
-    fe = L(() => {
-        Wn(),
-            ei(),
-            (ye = Er($r())),
-            mr(),
-            (cr = class {
-                static arraysEqual(t, e) {
-                    if (t.length !== e.length) return !1;
-                    for (let o = 0; o < t.length; o++) if (t[o] !== e[o]) return !1;
-                    return !0;
-                }
-            }),
-            (hi = class {
-                static preprocessInputShapes(t, e) {
-                    let o = t.length === 1 ? [1, t[0]] : t,
-                        i = e.length === 1 ? [e[0], 1] : e;
-                    return [o, i];
-                }
-                static postprocessOutputShape(t, e, o) {
-                    e === 1 && t.splice(t.length - 2, 1), o === 1 && t.pop();
-                }
-                static calcMatMulShape(t, e) {
-                    return t[1] !== e[0] ? void 0 : [t[0], e[1]];
-                }
-            }),
-            (Xe = class fr {
-                static calcShape(e, o, i = !1) {
-                    let u = e.length,
-                        n = o.length;
-                    if (u === 0) return o;
-                    if (n === 0) return e;
-                    let s = Math.max(e.length, o.length),
-                        d = new Array(s);
-                    if (i) {
-                        if (u < 2 || n < 2) return;
-                        let f = hi.calcMatMulShape([e[u - 2], e[u - 1]], [o[n - 2], o[n - 1]]);
-                        if (f === void 0) return;
-                        [d[s - 2], d[s - 1]] = f;
-                    }
-                    for (let f = i ? 3 : 1; f <= s; f++) {
-                        let r = u - f < 0 ? 1 : e[u - f],
-                            a = n - f < 0 ? 1 : o[n - f];
-                        if (r !== a && r > 1 && a > 1) return;
-                        d[s - f] = Math.max(r, a);
-                    }
-                    return d;
-                }
-                static index(e, o) {
-                    let i = new Array(o.length);
-                    return fr.fillIndex(e, o, i), i;
-                }
-                static fillIndex(e, o, i) {
-                    let u = e.length - o.length;
-                    for (let n = 0; n < o.length; n++) i[n] = e[u + n] % o[n];
-                }
-                static calc(e, o, i, u, n) {
-                    let s = fr.calcShape(e.dims, o.dims);
-                    if (s) {
-                        if (u && !U.areEqual(s, e.dims)) return;
-                        let d = U.size(s),
-                            f = u ? e : new Fe(s, n || e.type);
-                        if (s.length === 0) f.set([], i(e.get([]), o.get([])));
-                        else {
-                            let r = new Array(s.length),
-                                a = new Array(e.dims.length),
-                                l = new Array(o.dims.length),
-                                p = 0,
-                                m = 0,
-                                y = !1,
-                                T = !1;
-                            e.dims.length === 0 && ((p = e.get([])), (y = !0)),
-                                o.dims.length === 0 && ((m = o.get([])), (T = !0));
-                            let v;
-                            for (let S = 0; S < d; S++) {
-                                v = S;
-                                for (let E = s.length - 1; E >= 0; E--) (r[E] = v % s[E]), (v = Math.floor(v / s[E]));
-                                y || (fr.fillIndex(r, e.dims, a), (p = e.get(a))),
-                                    T || (fr.fillIndex(r, o.dims, l), (m = o.get(l))),
-                                    f.set(r, i(p, m));
-                            }
-                        }
-                        return f;
-                    }
-                }
-                static isValidBroadcast(e, o) {
-                    let i = e.length,
-                        u = o.length;
-                    if (i > u) return !1;
-                    for (let n = 1; n <= i; n++) if (e[i - n] !== 1 && e[i - n] !== o[u - n]) return !1;
-                    return !0;
-                }
-                static getBroadcastDims(e, o) {
-                    let i = e.length,
-                        u = [];
-                    for (let n = 0; n < i; n++) {
-                        let s = i - 1 - n,
-                            d = e[s] || 1;
-                        (o[o.length - 1 - n] || 1) > 1 && d === 1 && u.unshift(s);
-                    }
-                    return u;
-                }
-            }),
-            (Xn = class {
-                static getShapeOfGemmResult(t, e, o, i, u) {
-                    if (t.length !== 2 || o.length !== 2) throw new Error('shape need to be of size 2');
-                    let n, s, d;
-                    e ? ((n = t[1]), (s = t[0])) : ((n = t[0]), (s = t[1]));
-                    let f = -1;
-                    if ((i ? ((d = o[0]), (f = 1)) : ((d = o[1]), (f = 0)), o[f] !== s))
-                        throw new Error('dimension mismatch');
-                    if (n <= 0 || d <= 0 || s <= 0) throw new Error('invalid shape specified');
-                    if (u && !Xe.isValidBroadcast(u, [n, d])) throw new Error('gemm: invalid bias shape for broadcast');
-                    return [n, d, s];
-                }
-            }),
-            (Ve = class Sn {
-                static tensorDataTypeFromProto(e) {
-                    switch (e) {
-                        case ye.onnx.TensorProto.DataType.INT8:
-                            return 'int8';
-                        case ye.onnx.TensorProto.DataType.UINT8:
-                            return 'uint8';
-                        case ye.onnx.TensorProto.DataType.BOOL:
-                            return 'bool';
-                        case ye.onnx.TensorProto.DataType.INT16:
-                            return 'int16';
-                        case ye.onnx.TensorProto.DataType.UINT16:
-                            return 'uint16';
-                        case ye.onnx.TensorProto.DataType.INT32:
-                            return 'int32';
-                        case ye.onnx.TensorProto.DataType.UINT32:
-                            return 'uint32';
-                        case ye.onnx.TensorProto.DataType.FLOAT:
-                            return 'float32';
-                        case ye.onnx.TensorProto.DataType.DOUBLE:
-                            return 'float64';
-                        case ye.onnx.TensorProto.DataType.STRING:
-                            return 'string';
-                        case ye.onnx.TensorProto.DataType.INT64:
-                            return 'int32';
-                        case ye.onnx.TensorProto.DataType.UINT64:
-                            return 'uint32';
-                        default:
-                            throw new Error(`unsupported data type: ${ye.onnx.TensorProto.DataType[e]}`);
-                    }
-                }
-                static tensorDataTypeStringToEnum(e) {
-                    switch (e) {
-                        case 'int8':
-                            return ye.onnx.TensorProto.DataType.INT8;
-                        case 'uint8':
-                            return ye.onnx.TensorProto.DataType.UINT8;
-                        case 'bool':
-                            return ye.onnx.TensorProto.DataType.BOOL;
-                        case 'int16':
-                            return ye.onnx.TensorProto.DataType.INT16;
-                        case 'uint16':
-                            return ye.onnx.TensorProto.DataType.UINT16;
-                        case 'int32':
-                            return ye.onnx.TensorProto.DataType.INT32;
-                        case 'uint32':
-                            return ye.onnx.TensorProto.DataType.UINT32;
-                        case 'float32':
-                            return ye.onnx.TensorProto.DataType.FLOAT;
-                        case 'float64':
-                            return ye.onnx.TensorProto.DataType.DOUBLE;
-                        case 'string':
-                            return ye.onnx.TensorProto.DataType.STRING;
-                        case 'int64':
-                            return ye.onnx.TensorProto.DataType.INT64;
-                        case 'uint64':
-                            return ye.onnx.TensorProto.DataType.UINT64;
-                        default:
-                            throw new Error(`unsupported data type: ${e}`);
-                    }
-                }
-                static tensorDimsFromProto(e) {
-                    return e.map((o) => (zt.isLong(o) ? o.toNumber() : o));
-                }
-                static tensorValueTypeFromProto(e) {
-                    return {
-                        tensorType: Sn.tensorDataTypeFromProto(e.elemType),
-                        shape: { dims: Sn.tensorDimsFromProto(e.shape.dim.map((o) => o.dimValue)) },
-                    };
-                }
-                static tensorDimsFromORTFormat(e) {
-                    let o = [];
-                    for (let i = 0; i < e.dimsLength(); i++) o.push(nt.longToNumber(e.dims(i)));
-                    return o;
-                }
-                static tensorAttributesFromORTFormat(e) {
-                    let o = [];
-                    for (let i = 0; i < e.attributesLength(); i++) o.push(e.attributes(i));
-                    return o;
-                }
-            }),
-            (nt = class {
-                static longToNumber(t, e) {
-                    return zt.isLong(t)
-                        ? t.toNumber()
-                        : t instanceof _.Long
-                        ? zt.fromValue({ low: t.low, high: t.high, unsigned: e ?? !1 }).toNumber()
-                        : t;
-                }
-                static isLong(t) {
-                    return zt.isLong(t) || t instanceof _.Long;
-                }
-            }),
-            (U = class Pt {
-                static size(e) {
-                    return Pt.getSizeFromDimensionRange(e, 0, e.length);
-                }
-                static sizeFromDimension(e, o) {
-                    if (o < 0 || o > e.length)
-                        throw new Error(
-                            `invalid dimension of ${o} for sizeFromDimension as Tensor has ${e.length} dimensions.`
-                        );
-                    return Pt.getSizeFromDimensionRange(e, o, e.length);
-                }
-                static sizeToDimension(e, o) {
-                    if (o < 0 || o > e.length)
-                        throw new Error(
-                            `invalid dimension of ${o} for sizeToDimension as Tensor has ${e.length} dimensions.`
-                        );
-                    return Pt.getSizeFromDimensionRange(e, 0, o);
-                }
-                static getSizeFromDimensionRange(e, o, i) {
-                    let u = 1;
-                    for (let n = o; n < i; n++) {
-                        if (e[n] <= 0)
-                            throw new Error(
-                                'cannot get valid size from specified dimension range. Most likely the range contains 0 or negative values in them.'
-                            );
-                        u *= e[n];
-                    }
-                    return u;
-                }
-                static computeStrides(e) {
-                    let o = e.length;
-                    if (o === 0) return [];
-                    if (o === 1) return [1];
-                    let i = new Array(o);
-                    (i[o - 1] = 1), (i[o - 2] = e[o - 1]);
-                    for (let u = o - 3; u >= 0; --u) i[u] = i[u + 1] * e[u + 1];
-                    return i;
-                }
-                static transpose(e) {
-                    return e.slice().reverse();
-                }
-                static indicesToOffset(e, o, i) {
-                    i === void 0 && (i = e.length);
-                    let u = 0;
-                    for (let n = 0; n < i; ++n) u += o[n] * e[n];
-                    return u;
-                }
-                static offsetToIndices(e, o) {
-                    let i = o.length;
-                    if (i === 0) return [];
-                    if (i === 1) return [e * o[0]];
-                    let u = new Array(o.length);
-                    for (let n = 0; n < u.length - 1; ++n) (u[n] = Math.floor(e / o[n])), (e -= u[n] * o[n]);
-                    return (u[u.length - 1] = e), u;
-                }
-                static normalizeAxis(e, o) {
-                    if (e < -o && e >= o) throw new Error('unsupported axis for this operation.');
-                    return e < 0 ? e + o : e;
-                }
-                static normalizeAxes(e, o) {
-                    return e.map((i) => this.normalizeAxis(i, o));
-                }
-                static incrementIndex(e, o, i) {
-                    if (o.length === 0 || e.length === 0)
-                        throw new Error('Index incrementing unsupported for scalar Tensor');
-                    if (i === void 0) i = o.length;
-                    else if (i <= 0 || i > o.length) throw new Error('Incorrect axis to increment on');
-                    for (let u = i - 1; u >= 0 && (e[u]++, !(e[u] < o[u])); --u) e[u] = 0;
-                }
-                static calculateReshapedDims(e, o) {
-                    if (o.length === 0) {
-                        if (e.length === 0 || Pt.size(e) === 1) return [];
-                        throw new Error('cannot reshape to a scalar Tensor');
-                    }
-                    let i = o.length,
-                        u = new Array(i),
-                        n = -1,
-                        s = 1;
-                    for (let f = 0; f < i; f++) {
-                        if (o[f] < -1) throw new Error('a dimension in shape hints cannot be less than -1');
-                        if (o[f] === -1) {
-                            if (n !== -1) throw new Error('at most one dimension in shape hints can be -1');
-                            n = f;
-                        } else {
-                            if (o[f] === 0) {
-                                if (f >= e.length)
-                                    throw new Error(
-                                        'the dimension with value zero exceeds the dimension size of the input tensor'
-                                    );
-                                u[f] = e[f];
-                            } else u[f] = o[f];
-                            s *= u[f];
-                        }
-                    }
-                    let d = Pt.size(e);
-                    if (n !== -1) {
-                        if (d % s !== 0)
-                            throw new Error(
-                                `the input tensor cannot be reshaped to the requested shape. Input shape: [${e}] Output shape: [${o}]`
-                            );
-                        u[n] = d / s;
-                    } else if (s !== d) throw new Error("reshapedDims and originalDims don't have matching sizes");
-                    return u;
-                }
-                static sortBasedOnPerm(e, o) {
-                    return o ? o.map((i) => e[i]) : e.slice().reverse();
-                }
-                static padShape(e, o) {
-                    let i = e.length;
-                    return e.map((u, n) => u + o[n] + o[n + i]);
-                }
-                static areEqual(e, o) {
-                    return e.length !== o.length ? !1 : e.every((i, u) => i === o[u]);
-                }
-                static validateDimsAndCalcSize(e) {
-                    if (e.length > 6) throw new TypeError('Only rank 0 to 6 is supported for tensor shape.');
-                    let o = 1;
-                    for (let i of e) {
-                        if (!Number.isInteger(i)) throw new TypeError(`Invalid shape: ${i} is not an integer`);
-                        if (i < 0 || i > 2147483647) throw new TypeError(`Invalid shape: length ${i} is not allowed`);
-                        o *= i;
-                    }
-                    return o;
-                }
-                static flattenShape(e, o) {
-                    o < 0 && (o += e.length);
-                    let i = e.reduce((n, s) => n * s, 1),
-                        u = e.slice(o).reduce((n, s) => n * s, 1);
-                    return [i / u, u];
-                }
-                static squeezeShape(e, o) {
-                    let i = new Array();
-                    o = Pt.normalizeAxes(o, e.length);
-                    for (let u = 0; u < e.length; u++) {
-                        let n = o.indexOf(u) >= 0;
-                        if (n && e[u] !== 1) throw new Error('squeeze an axis of size different than 1');
-                        ((o.length === 0 && e[u] > 1) || (o.length > 0 && !n)) && i.push(e[u]);
-                    }
-                    return i;
-                }
-                static unsqueezeShape(e, o) {
-                    let i = new Array(e.length + o.length);
-                    i.fill(0);
-                    for (let n = 0; n < o.length; n++) {
-                        let s = Pt.normalizeAxis(o[n], i.length);
-                        if (s >= i.length) throw new Error("'axes' has an out of range axis");
-                        if (i[s] !== 0) throw new Error("'axes' has a duplicate axis");
-                        i[s] = 1;
-                    }
-                    let u = 0;
-                    for (let n = 0; n < i.length; n++) i[n] === 0 && (i[n] = e[u++]);
-                    if (u !== e.length) throw new Error('the unsqueezed dimension could not be established');
-                    return i;
-                }
-            }),
-            (an = class js {
-                static splitShape(e, o, i, u) {
-                    if (i.length === 0) {
-                        if (!u)
-                            throw new Error(
-                                "need to know number of outputs when the 'split' attribute is not specified"
-                            );
-                        js.determineSplit(e[o], u, i);
-                    }
-                    let n = [],
-                        s = [0];
-                    for (let d = 0; d < i.length; ++d) {
-                        d !== 0 && s.push(s[d - 1] + i[d - 1]);
-                        let f = e.slice();
-                        (f[o] = i[d]), n.push(f);
-                    }
-                    return [n, s];
-                }
-                static determineSplit(e, o, i) {
-                    if (e % o !== 0) throw new Error('cannot split tensor to equal sized parts');
-                    for (let u = 0; u < o; ++u) i.push(e / o);
-                }
-            }),
-            (pr = class _r {
-                static adjustPoolAttributes(e, o, i, u, n, s) {
-                    if (!e && i.length !== o.length - 2)
-                        throw new Error(
-                            'length of specified kernel shapes should be 2 less than length of input dimensions'
-                        );
-                    if (e) for (let d = 0; d < o.length - 2; d++) d >= i.length ? i.push(o[d + 2]) : (i[d] = o[d + 2]);
-                    for (let d = 0; d < i.length; d++)
-                        if (d < u.length) {
-                            if (u[d] < 0) throw new Error('strides should be greater than or equal to 1');
-                        } else u.push(1);
-                    for (let d = 0; d < i.length; d++)
-                        if (d < n.length) {
-                            if (n[d] < 0) throw new Error('dilations should be greater than or equal to 1');
-                        } else n.push(1);
-                    for (let d = 0; d < i.length * 2; d++)
-                        if (d < s.length) {
-                            if (s[d] < 0) throw new Error('pad should be greater than or equal to 1');
-                        } else s.push(0);
-                    for (let d = 0; d < i.length; d++) {
-                        if (i[d] <= 0) throw new Error('kernel shapes need to be greater than 0');
-                        if (s[d] >= i[d] || s[d + i.length] >= i[d])
-                            throw new Error('pads should be smaller than kernel');
-                    }
-                }
-                static adjustPadsBasedOnAutoPad(e, o, i, u, n, s) {
-                    if (s) {
-                        if (n.length !== 2 * (e.length - 2))
-                            throw new Error('length of pads should be twice the length of data dimensions');
-                        if (o.length !== e.length - 2)
-                            throw new Error('length of strides should be the length of data dimensions');
-                        if (u.length !== e.length - 2)
-                            throw new Error('length of kernel shapes should be the length of data dimensions');
-                        for (let d = 0; d < e.length - 2; d++)
-                            _r.adjustPadAndReturnShape(e[d + 2], o[d], i[d], u[d], n, d, d + e.length - 2, s);
-                    }
-                }
-                static computePoolOutputShape(e, o, i, u, n, s, d) {
-                    if (o.length <= 0) throw new Error('input shape must be of size greater than 0');
-                    let f = [o[0], o[1]];
-                    return _r.computeShapeHelper(e, o, f, i, u, n, s, d), f;
-                }
-                static computeConvOutputShape(e, o, i, u, n, s, d) {
-                    if (e.length <= 0 || o.length <= 0)
-                        throw new Error('invalid input tensor dims or invalid filter tensor dims');
-                    let f = [e[0], o[0]];
-                    return _r.computeShapeHelper(!1, e, f, i, u, n, s, d), f;
-                }
-                static computeShapeHelper(e, o, i, u, n, s, d, f) {
-                    if (e) for (let r = 0; r < o.length - 2; r++) i.push(1);
-                    else
-                        for (let r = 0; r < o.length - 2; r++)
-                            i.push(_r.adjustPadAndReturnShape(o[r + 2], u[r], n[r], s[r], d, r, r + o.length - 2, f));
-                }
-                static adjustPadAndReturnShape(e, o, i, u, n, s, d, f) {
-                    let r = i * (u - 1) + 1;
-                    if (f && f !== 'NOTSET')
-                        switch (f) {
-                            case 'VALID':
-                                return (n[s] = 0), (n[d] = 0), Math.floor((e - r) / o + 1);
-                            case 'SAME_LOWER':
-                            case 'SAME_UPPER':
-                                if (i !== 1) throw new Error('Dilation not supported for SAME_UPPER or SAME_LOWER');
-                                {
-                                    let a = ((e + o - 1) / o - 1) * o + u - e;
-                                    return (
-                                        (n[s] = Math.floor(f === 'SAME_LOWER' ? (a + 1) / 2 : a / 2)),
-                                        (n[d] = a - n[s]),
-                                        Math.floor((e + a - u) / o + 1)
-                                    );
-                                }
-                            default:
-                                throw new Error('Unsupported AutoPad type');
-                        }
-                    else return Math.floor((e + n[s] + n[d] - r) / o + 1);
-                }
-            }),
-            (dr = -34028234663852886e22),
-            (hr = 34028234663852886e22);
-    });
-function Vd(t) {
-    switch (t) {
-        case 'bool':
-        case 'int8':
-        case 'uint8':
-            return 1;
-        case 'int16':
-        case 'uint16':
-            return 2;
-        case 'int32':
-        case 'uint32':
-        case 'float32':
-            return 4;
-        case 'float64':
-            return 8;
-        default:
-            throw new Error(`cannot calculate sizeof() on type ${t}`);
-    }
-}
-function Fu(t) {
-    switch (t) {
-        case te.onnx.TensorProto.DataType.UINT8:
-        case te.onnx.TensorProto.DataType.INT8:
-        case te.onnx.TensorProto.DataType.BOOL:
-            return 1;
-        case te.onnx.TensorProto.DataType.UINT16:
-        case te.onnx.TensorProto.DataType.INT16:
-            return 2;
-        case te.onnx.TensorProto.DataType.FLOAT:
-        case te.onnx.TensorProto.DataType.INT32:
-        case te.onnx.TensorProto.DataType.UINT32:
-            return 4;
-        case te.onnx.TensorProto.DataType.INT64:
-        case te.onnx.TensorProto.DataType.DOUBLE:
-        case te.onnx.TensorProto.DataType.UINT64:
-            return 8;
-        default:
-            throw new Error(`cannot calculate sizeof() on type ${te.onnx.TensorProto.DataType[t]}`);
-    }
-}
-function Wd(t, e) {
-    return new (ku(e))(t);
-}
-function ku(t) {
-    switch (t) {
-        case 'bool':
-        case 'uint8':
-            return Uint8Array;
-        case 'int8':
-            return Int8Array;
-        case 'int16':
-            return Int16Array;
-        case 'uint16':
-            return Uint16Array;
-        case 'int32':
-            return Int32Array;
-        case 'uint32':
-            return Uint32Array;
-        case 'int64':
-            return BigInt64Array;
-        case 'float32':
-            return Float32Array;
-        case 'float64':
-            return Float64Array;
-        default:
-            throw new Error('unspecified error');
-    }
-}
-function bi(t, e) {
-    if (e === te.onnx.TensorProto.DataType.INT64 || e === mi.TensorDataType.INT64) {
-        if (t.greaterThanOrEqual(2147483648) || t.lessThan(-2147483648)) throw new TypeError('int64 is not supported');
-    } else if (
-        e === te.onnx.TensorProto.DataType.UINT32 ||
-        e === mi.TensorDataType.UINT32 ||
-        e === te.onnx.TensorProto.DataType.UINT64 ||
-        e === mi.TensorDataType.UINT64
-    ) {
-        if (t.greaterThanOrEqual(4294967296) || t.lessThan(0)) throw new TypeError('uint64 is not supported');
-    } else throw new TypeError(`not a LONG type: ${te.onnx.TensorProto.DataType[e]}`);
-    return t.toNumber();
-}
-function $u(t, e, o) {
-    switch (e) {
-        case te.onnx.TensorProto.DataType.BOOL:
-        case te.onnx.TensorProto.DataType.UINT8:
-            return t.getUint8(o);
-        case te.onnx.TensorProto.DataType.INT8:
-            return t.getInt8(o);
-        case te.onnx.TensorProto.DataType.UINT16:
-            return t.getUint16(o, !0);
-        case te.onnx.TensorProto.DataType.INT16:
-            return t.getInt16(o, !0);
-        case te.onnx.TensorProto.DataType.FLOAT:
-            return t.getFloat32(o, !0);
-        case te.onnx.TensorProto.DataType.INT32:
-            return t.getInt32(o, !0);
-        case te.onnx.TensorProto.DataType.UINT32:
-            return t.getUint32(o, !0);
-        case te.onnx.TensorProto.DataType.INT64:
-            return bi(zt.fromBits(t.getUint32(o, !0), t.getUint32(o + 4, !0), !1), e);
-        case te.onnx.TensorProto.DataType.DOUBLE:
-            return t.getFloat64(o, !0);
-        case te.onnx.TensorProto.DataType.UINT64:
-            return bi(zt.fromBits(t.getUint32(o, !0), t.getUint32(o + 4, !0), !0), e);
-        default:
-            throw new Error(`cannot read from DataView for type ${te.onnx.TensorProto.DataType[e]}`);
-    }
-}
-var Cu,
-    te,
-    mi,
-    Fe,
-    mr = L(() => {
-        (Cu = Er(_s())),
-            ei(),
-            tn(),
-            (te = Er($r())),
-            fe(),
-            (mi = W.experimental.fbs),
-            (Fe = class Kr {
-                constructor(e, o, i, u, n, s = Cu.Guid.create()) {
-                    (this.dims = e),
-                        (this.type = o),
-                        (this.dataProvider = i),
-                        (this.asyncDataProvider = u),
-                        (this.cache = n),
-                        (this.dataId = s),
-                        (this.size = U.validateDimsAndCalcSize(e));
-                    let d = this.size,
-                        f = i === void 0 && u === void 0 && n === void 0;
-                    if (n !== void 0 && n.length !== d) throw new RangeError("Input dims doesn't match data length.");
-                    if (o === 'string') {
-                        if (n !== void 0 && (!Array.isArray(n) || !n.every((r) => typeof r == 'string')))
-                            throw new TypeError('cache should be a string array');
-                        f && (this.cache = new Array(d));
-                    } else {
-                        if (n !== void 0) {
-                            let r = ku(o);
-                            if (!(n instanceof r)) throw new TypeError(`cache should be type ${r.name}`);
-                        }
-                        if (f) {
-                            let r = new ArrayBuffer(d * Vd(o));
-                            this.cache = Wd(r, o);
-                        }
-                    }
-                }
-                get data() {
-                    if (this.cache === void 0) {
-                        let e = this.dataProvider(this.dataId);
-                        if (e.length !== this.size)
-                            throw new Error(
-                                'Length of data provided by the Data Provider is inconsistent with the dims of this Tensor.'
-                            );
-                        this.cache = e;
-                    }
-                    return this.cache;
-                }
-                get stringData() {
-                    if (this.type !== 'string') throw new TypeError('data type is not string');
-                    return this.data;
-                }
-                get integerData() {
-                    switch (this.type) {
-                        case 'uint8':
-                        case 'int8':
-                        case 'uint16':
-                        case 'int16':
-                        case 'int32':
-                        case 'uint32':
-                        case 'bool':
-                            return this.data;
-                        default:
-                            throw new TypeError(
-                                'data type is not integer (uint8, int8, uint16, int16, int32, uint32, bool)'
-                            );
-                    }
-                }
-                get floatData() {
-                    switch (this.type) {
-                        case 'float32':
-                        case 'float64':
-                            return this.data;
-                        default:
-                            throw new TypeError('data type is not float (float32, float64)');
-                    }
-                }
-                get numberData() {
-                    if (this.type !== 'string') return this.data;
-                    throw new TypeError('type cannot be non-number (string)');
-                }
-                get(e) {
-                    return this.data[U.indicesToOffset(e, this.strides)];
-                }
-                set(e, o) {
-                    this.data[U.indicesToOffset(e, this.strides)] = o;
-                }
-                async getData() {
-                    return (
-                        this.cache === void 0 && (this.cache = await this.asyncDataProvider(this.dataId)), this.cache
-                    );
-                }
-                get strides() {
-                    return this._strides || (this._strides = U.computeStrides(this.dims)), this._strides;
-                }
-                static fromProto(e) {
-                    if (!e) throw new Error('cannot construct Value from an empty tensor');
-                    let o = Ve.tensorDataTypeFromProto(e.dataType),
-                        i = Ve.tensorDimsFromProto(e.dims),
-                        u = new Kr(i, o);
-                    if (o === 'string')
-                        e.stringData.forEach((n, s) => {
-                            u.data[s] = sn(n);
-                        });
-                    else if (e.rawData && typeof e.rawData.byteLength == 'number' && e.rawData.byteLength > 0) {
-                        let n = u.data,
-                            s = new DataView(e.rawData.buffer, e.rawData.byteOffset, e.rawData.byteLength),
-                            d = Fu(e.dataType),
-                            f = e.rawData.byteLength / d;
-                        if (e.rawData.byteLength % d !== 0) throw new Error('invalid buffer length');
-                        if (n.length !== f) throw new Error('buffer length mismatch');
-                        for (let r = 0; r < f; r++) {
-                            let a = $u(s, e.dataType, r * d);
-                            n[r] = a;
-                        }
-                    } else {
-                        let n;
-                        switch (e.dataType) {
-                            case te.onnx.TensorProto.DataType.FLOAT:
-                                n = e.floatData;
-                                break;
-                            case te.onnx.TensorProto.DataType.INT32:
-                            case te.onnx.TensorProto.DataType.INT16:
-                            case te.onnx.TensorProto.DataType.UINT16:
-                            case te.onnx.TensorProto.DataType.INT8:
-                            case te.onnx.TensorProto.DataType.UINT8:
-                            case te.onnx.TensorProto.DataType.BOOL:
-                                n = e.int32Data;
-                                break;
-                            case te.onnx.TensorProto.DataType.INT64:
-                                n = e.int64Data;
-                                break;
-                            case te.onnx.TensorProto.DataType.DOUBLE:
-                                n = e.doubleData;
-                                break;
-                            case te.onnx.TensorProto.DataType.UINT32:
-                            case te.onnx.TensorProto.DataType.UINT64:
-                                n = e.uint64Data;
-                                break;
-                            default:
-                                throw new Error('unspecific error');
-                        }
-                        if (n == null) throw new Error('failed to populate data from a tensorproto value');
-                        let s = u.data;
-                        if (s.length !== n.length) throw new Error('array length mismatch');
-                        for (let d = 0; d < n.length; d++) {
-                            let f = n[d];
-                            zt.isLong(f) ? (s[d] = bi(f, e.dataType)) : (s[d] = f);
-                        }
-                    }
-                    return u;
-                }
-                static fromData(e, o, i) {
-                    return new Kr(o, i, void 0, void 0, e);
-                }
-                static fromOrtTensor(e) {
-                    if (!e) throw new Error('cannot construct Value from an empty tensor');
-                    let o = Ve.tensorDimsFromORTFormat(e),
-                        i = Ve.tensorDataTypeFromProto(e.dataType()),
-                        u = new Kr(o, i);
-                    if (i === 'string') for (let n = 0; n < e.stringDataLength(); n++) u.data[n] = e.stringData(n);
-                    else if (e.rawDataArray() && typeof e.rawDataLength() == 'number' && e.rawDataLength() > 0) {
-                        let n = u.data,
-                            s = new DataView(e.rawDataArray().buffer, e.rawDataArray().byteOffset, e.rawDataLength()),
-                            d = Fu(e.dataType()),
-                            f = e.rawDataLength() / d;
-                        if (e.rawDataLength() % d !== 0) throw new Error('invalid buffer length');
-                        if (n.length !== f) throw new Error('buffer length mismatch');
-                        for (let r = 0; r < f; r++) {
-                            let a = $u(s, e.dataType(), r * d);
-                            n[r] = a;
-                        }
-                    }
-                    return u;
-                }
-            });
-    });
-function q(t) {
-    return t === 1 ? Hd : qd;
-}
-function Bu(t) {
-    let e = q(t);
-    return `${e.version}
-      precision highp float;
-      ${e.attribute} vec3 position;
-      ${e.attribute} vec2 textureCoord;
-
-      ${e.varyingVertex} vec2 TexCoords;
-
-      void main()
-      {
-          gl_Position = vec4(position, 1.0);
-          TexCoords = textureCoord;
-      }`;
-}
-function Nu(t) {
-    let e = q(t);
-    return `${e.version}
-    precision highp float;
-    precision highp int;
-    precision highp sampler2D;
-    ${e.varyingFrag} vec2 TexCoords;
-    ${e.outputDeclaration}
-    const vec2 halfCR = vec2(0.5, 0.5);
-
-    // Custom vector types to handle higher dimenalities.
-    struct ivec5
-    {
-      int x;
-      int y;
-      int z;
-      int w;
-      int u;
-    };
-
-    struct ivec6
-    {
-      int x;
-      int y;
-      int z;
-      int w;
-      int u;
-      int v;
-    };
-
-    int imod(int x, int y) {
-      return x - y * (x / y);
-    }
-
-    `;
-}
-function Ru(t, e) {
-    let o = q(t);
-    return `
-  void main() {
-    int indices[${e}];
-    toVec(TexCoords, indices);
-    vec4 result = vec4(process(indices));
-    ${o.output} = result;
-  }
-  `;
-}
-var Hd,
-    qd,
-    xe = L(() => {
-        (Hd = {
-            version: '',
-            attribute: 'attribute',
-            varyingVertex: 'varying',
-            varyingFrag: 'varying',
-            texture2D: 'texture2D',
-            output: 'gl_FragColor',
-            outputDeclaration: '',
-        }),
-            (qd = {
-                version: '#version 300 es',
-                attribute: 'in',
-                varyingVertex: 'out',
-                varyingFrag: 'in',
-                texture2D: 'texture',
-                output: 'outputColor',
-                outputDeclaration: 'out vec4 outputColor;',
-            });
-    }),
-    ae = L(() => {});
-async function gi(t, e = (i) => 0, o) {
-    return new Promise((i, u) => {
-        let n = 0,
-            s = () => {
-                if (t()) {
-                    i();
-                    return;
-                }
-                n++;
-                let d = e(n);
-                if (o != null && n >= o) {
-                    u();
-                    return;
-                }
-                setTimeout(s, d);
-            };
-        s();
-    });
-}
-function Kn(t) {
-    return (
-        Cr(typeof t < 'u' && t.length !== 0, () => 'empty string found for sampler name'),
-        'get' + t.charAt(0).toUpperCase() + t.slice(1)
-    );
-}
-function Mu(t) {
-    return (
-        Cr(typeof t < 'u' && t.length !== 0, () => 'empty string found for sampler name'),
-        'get' + t.charAt(0).toUpperCase() + t.slice(1) + 'AtOutCoords'
-    );
-}
-function kr(t, e) {
-    let o = JSON.parse(JSON.stringify(t));
-    return (o = e), o;
-}
-function Br(t, e) {
-    return e.map((o) => t[o]).join(', ');
-}
-function Ke(t) {
-    if (t <= 1) return 'int';
-    if (t === 2) return 'ivec2';
-    if (t === 3) return 'ivec3';
-    if (t === 4) return 'ivec4';
-    if (t === 5) return 'ivec5';
-    if (t === 6) return 'ivec6';
-    throw Error(`GPU for rank ${t} is not yet supported`);
-}
-function St(t = 6) {
-    return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, t);
-}
-var Ft = L(() => {
-    fe();
-});
-function jd(t, e) {
-    return St(e).map((o) => `${t}.${o}`);
-}
-function Nr(t, e) {
-    return e === 1 ? [t] : jd(t, e);
-}
-function $t() {
-    return `
-    float getChannel(vec4 frag, int dim) {
-      int modCoord = imod(dim, 2);
-      return modCoord == 0 ? frag.r : frag.g;
-    }
-
-    float getChannel(vec4 frag, vec2 innerDims) {
-      vec2 modCoord = mod(innerDims, 2.);
-      return modCoord.x == 0. ?
-        (modCoord.y == 0. ? frag.r : frag.g) :
-        (modCoord.y == 0. ? frag.b : frag.a);
-    }
-  `;
-}
-var br = L(() => {
-    Ft();
-});
-function Xd(t, e, o) {
-    if (t === 0) return 'false';
-    if (t === 1) return `rc > ${e[0]}`;
-    let i = '';
-    for (let u = t - 2; u < t; u++) (i += `${o[u]} >= ${e[u - t + 2]}`), u < t - 1 && (i += '||');
-    return i;
-}
-function Kd(t, e) {
-    let o = t.length;
-    if (o === 0) return 'getA(), 0, 0, 0';
-    if (o === 1)
-        return `getA(rc),
-            rc + 1 >= ${t[0]} ? 0. : getA(rc + 1),
-            0, 0`;
-    let i = 'r, c',
-        u = 'r, cp1',
-        n = 'rp1, c',
-        s = 'rp1, cp1',
-        d = '';
-    if (o > 2) for (let f = 0; f < o - 2; ++f) d = d + `${e[f]},`;
-    return `getA(${d}${i}),
-          rEdge ? 0. : getA(${d}${n}),
-          cEdge ? 0. : getA(${d}${u}),
-          rEdge || cEdge ? 0. : getA(${d}${s})`;
-}
-function Jd(t, e, o, i) {
-    return t === 0 || t === 1
-        ? ''
-        : `
-    int r = ${e[t - 2]};
-    int c = ${e[t - 1]};
-    int rp1 = ${e[t - 2]} + 1;
-    int cp1 = ${e[t - 1]} + 1;
-    bool rEdge = rp1 >= ${i};
-    bool cEdge = cp1 >= ${o};
-    `;
-}
-var Gu,
-    Yd,
-    Uu,
-    zu = L(() => {
-        xe(),
-            ae(),
-            Ft(),
-            br(),
-            (Gu = { name: 'pack', inputNames: ['A'], inputTypes: [1] }),
-            (Yd = (t, e) => {
-                let o = q(t.session.backend.glContext.version),
-                    i = e.dims,
-                    u = i.length,
-                    n = e.dims.length,
-                    s = Ke(n),
-                    d = Nr('rc', n),
-                    f = Jd(n, d, i[i.length - 2], i[i.length - 1]),
-                    r;
-                u === 0 ? (r = [1, 1]) : u === 1 ? (r = [i[0], 1]) : (r = [i[n - 1], i[n - 2]]);
-                let a = Xd(n, r, d),
-                    l = Kd(i, d),
-                    p = `
-        void main() {
-          ${s} rc = getOutputCoords();
-
-          if(${a}) {
-            ${o.output} = vec4(0);
-          } else {
-            ${f}
-
-            ${o.output} = vec4(${l});
-          }
-        }
-      `;
-                return { ...Gu, hasMain: !0, output: { dims: e.dims, type: e.type, textureType: 2 }, shaderSource: p };
-            }),
-            (Uu = (t, e) => ({ ...Gu, get: () => Yd(t, e) }));
-    });
-function yi(t) {
-    if (t.length === 0) return [1, 1, 1];
-    let e = 1;
-    for (let o = 0; o < t.length - 2; ++o) e *= t[o];
-    return [e, t.length > 1 ? t[t.length - 2] : 1, t[t.length - 1]];
-}
-function Wu(t, e) {
-    let o = !1;
-    return (
-        t.length === 0 || e.length === 0
-            ? (o = !0)
-            : t.length < 2 || e.length < 2
-            ? (o = t[t.length - 1] === e[e.length - 1])
-            : (o = t[t.length - 1] === e[e.length - 1] && t[t.length - 2] === e[e.length - 2]),
-        o
-    );
-}
-function eh(t) {
-    let e = U.computeStrides(t),
-        o = ['b', 'r', 'c'],
-        i = 'index';
-    return `
-    ivec3 inputCoordsFromReshapedOutCoords(int index) {
-      ${e
-          .map((u, n) => {
-              let s = `int ${o[n]} = ${i} / ${u}`,
-                  d = n === e.length - 1 ? `int ${o[n + 1]} = ${i} - ${o[n]} * ${u}` : `index -= ${o[n]} * ${u}`;
-              return `${s}; ${d};`;
-          })
-          .join('')}
-      return ivec3(b, r, c);
-    }
-  `;
-}
-function th(t) {
-    let e = U.computeStrides(t);
-    return `
-  int getFlattenedIndex(ivec3 coords) {
-    // reverse y, z order
-    return coords.x * ${e[0]} + coords.z * ${e[1]} + coords.y;
-  }
-`;
-}
-var Zd,
-    Qd,
-    Vu,
-    Hu = L(() => {
-        fe(),
-            xe(),
-            ae(),
-            br(),
-            (Zd = (t) => ({ name: 'Reshape (packed)', inputTypes: [2], inputNames: ['A'], cacheHint: `${t}` })),
-            (Qd = (t, e, o, i) => {
-                let u = e.dims,
-                    n = i,
-                    s = '';
-                for (let r = 0; r < 4; r++) {
-                    let a = '';
-                    switch (r) {
-                        case 0:
-                            a = 'outputCoords = rc;';
-                            break;
-                        case 1:
-                            a = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z);';
-                            break;
-                        case 2:
-                            a = 'outputCoords = ivec3(rc.x, rc.y, rc.z+1);';
-                            break;
-                        case 3:
-                            a = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);';
-                            break;
-                        default:
-                            throw new Error();
-                    }
-                    s += `
-        ${a}
-        ${r > 0 ? 'if(outputCoords.y < rows && outputCoords.z < cols){' : ''}
-          int flattenedIndex = getFlattenedIndex(outputCoords);
-
-          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
-          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));
-
-          result[${r}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);
-
-        ${r > 0 ? '}' : ''}
-      `;
-                }
-                let d = q(t.session.backend.glContext.version),
-                    f = `
-      ${eh(u)}
-      ${th(n)}
-      ${$t()}
-
-      void main() {
-        ivec3 rc = getOutputCoords();
-
-        vec4 result = vec4(0.0);
-
-        ivec3 outputCoords;
-        int rows = ${n[2]};
-        int cols = ${n[1]};
-
-        ${s}
-        ${d.output} = result;
-      }
-    `;
-                return { ...o, output: { dims: n, type: e.type, textureType: 2 }, shaderSource: f, hasMain: !0 };
-            }),
-            (Vu = (t, e, o) => {
-                let i = Zd(o);
-                return { ...i, get: () => Qd(t, e, i, o) };
-            });
-    }),
-    Ti,
-    qu = L(() => {
-        xe(),
-            ae(),
-            (Ti = (t, e) => {
-                let o = e.shape,
-                    i = q(t.session.backend.glContext.version),
-                    u = `
-    const float FLOAT_MAX = 1.70141184e38;
-    const float FLOAT_MIN = 1.17549435e-38;
-
-    bool isNaN(float val) {
-      return (val < 1.0 || 0.0 < val || val == 0.0) ? false : true;
-    }
-
-    highp vec4 encodeAsUint8(highp float v) {
-      if (isNaN(v)) {
-        return vec4(255, 255, 255, 255);
-      }
-
-      highp float av = abs(v);
-
-      if(av < FLOAT_MIN) {
-        return vec4(0.0, 0.0, 0.0, 0.0);
-      } else if(v > FLOAT_MAX) {
-        return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
-      } else if(v < -FLOAT_MAX) {
-        return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;
-      }
-
-      highp vec4 c = vec4(0,0,0,0);
-
-      highp float e = floor(log2(av));
-      highp float m = exp2(fract(log2(av))) - 1.0;
-
-      c[2] = floor(128.0 * m);
-      m -= c[2] / 128.0;
-      c[1] = floor(32768.0 * m);
-      m -= c[1] / 32768.0;
-      c[0] = floor(8388608.0 * m);
-
-      highp float ebias = e + 127.0;
-      c[3] = floor(ebias / 2.0);
-      ebias -= c[3] * 2.0;
-      c[2] += floor(ebias) * 128.0;
-
-      c[3] += 128.0 * step(0.0, -v);
-
-      return c / 255.0;
-    }
-
-    void main() {
-      float value = ${i.texture2D}(X,TexCoords).r;
-      ${i.output} = encodeAsUint8(value);
-    }`,
-                    n = {
-                        name: 'Uint8Encode',
-                        inputTypes: [0],
-                        inputNames: ['X'],
-                        output: { dims: o, type: e.tensor.type, textureType: 3 },
-                        shaderSource: u,
-                        hasMain: !0,
-                    };
-                return t.executeProgram(n, [e.tensor]);
-            });
-    });
-function nh(t, e) {
-    if (t === 1) return 'rc';
-    let o = '';
-    for (let i = 0; i < t; i++) (o += e[i]), i < t - 1 && (o += ',');
-    return o;
-}
-var ju,
-    rh,
-    Yu,
-    Xu = L(() => {
-        xe(),
-            ae(),
-            Ft(),
-            br(),
-            (ju = { name: 'unpack', inputNames: ['A'], inputTypes: [2] }),
-            (rh = (t, e) => {
-                let o = e.dims.length,
-                    i = Nr('rc', o),
-                    u = i.slice(-2),
-                    n = Ke(o),
-                    s = $t(),
-                    d = e.dims.length === 0 ? '' : nh(o, i),
-                    f = o <= 1 ? 'rc' : `vec2(${u.join(',')})`,
-                    r = q(t.session.backend.glContext.version),
-                    a = `
-    ${s}
-    void main() {
-      ${n} rc = getOutputCoords();
-
-       // Sample the texture with the coords to get the rgba channel value.
-       vec4 packedInput = getA(${d});
-
-       ${r.output} = vec4(getChannel(packedInput, ${f}), 0, 0, 0);
-     }
-   `;
-                return { ...ju, hasMain: !0, output: { dims: e.dims, type: e.type, textureType: 0 }, shaderSource: a };
-            }),
-            (Yu = (t, e) => ({ ...ju, get: () => rh(t, e) }));
-    }),
-    Jn,
-    un,
-    Zn,
-    ln = L(() => {
-        ut(),
-            (Jn = class {
-                constructor(t, e = 1) {
-                    if (e === 1)
-                        (this.internalFormat = t.R32F),
-                            (this.format = t.RED),
-                            (this.textureType = t.FLOAT),
-                            (this.channelSize = e);
-                    else if (e === 4)
-                        (this.internalFormat = t.RGBA32F),
-                            (this.format = t.RGBA),
-                            (this.textureType = t.FLOAT),
-                            (this.channelSize = e);
-                    else throw new Error(`Invalid number of channels: ${e}`);
-                }
-                encode(t, e) {
-                    let o, i;
-                    return (
-                        t.constructor !== Float32Array &&
-                            (ce.warning('Encoder', 'data was not of type Float32; creating new Float32Array'),
-                            (i = new Float32Array(t))),
-                        e * this.channelSize > t.length
-                            ? (ce.warning('Encoder', 'Source data too small. Allocating larger array'),
-                              (i = t),
-                              (o = this.allocate(e * this.channelSize)),
-                              i.forEach((u, n) => (o[n] = u)))
-                            : ((i = t), (o = i)),
-                        o
-                    );
-                }
-                allocate(t) {
-                    return new Float32Array(t * 4);
-                }
-                decode(t, e) {
-                    return this.channelSize === 1 ? t.filter((o, i) => i % 4 === 0).subarray(0, e) : t.subarray(0, e);
-                }
-            }),
-            (un = class {
-                constructor(t, e = 1, o) {
-                    if (e !== 1 && e !== 4) throw new Error(`Invalid number of channels: ${e}`);
-                    (this.internalFormat = t.RGBA),
-                        (this.format = t.RGBA),
-                        (this.channelSize = e),
-                        (this.textureType = o || t.FLOAT);
-                }
-                encode(t, e) {
-                    let o = t;
-                    return (
-                        this.channelSize === 1 &&
-                            (ce.verbose('Encoder', 'Exploding into a larger array'),
-                            (o = this.allocate(e)),
-                            t.forEach((i, u) => (o[u * 4] = i))),
-                        o
-                    );
-                }
-                allocate(t) {
-                    return new Float32Array(t * 4);
-                }
-                decode(t, e) {
-                    return this.channelSize === 1 ? t.filter((o, i) => i % 4 === 0).subarray(0, e) : t.subarray(0, e);
-                }
-            }),
-            (Zn = class {
-                constructor(t, e = 1) {
-                    if (((this.channelSize = 4), e === 1))
-                        (this.internalFormat = t.ALPHA),
-                            (this.format = t.ALPHA),
-                            (this.textureType = t.UNSIGNED_BYTE),
-                            (this.channelSize = e);
-                    else if (e === 4)
-                        (this.internalFormat = t.RGBA),
-                            (this.format = t.RGBA),
-                            (this.textureType = t.UNSIGNED_BYTE),
-                            (this.channelSize = e);
-                    else throw new Error(`Invalid number of channels: ${e}`);
-                }
-                encode(t, e) {
-                    return new Uint8Array(t.buffer, t.byteOffset, t.byteLength);
-                }
-                allocate(t) {
-                    return new Uint8Array(t * this.channelSize);
-                }
-                decode(t, e) {
-                    if (t instanceof Uint8Array) return t.subarray(0, e);
-                    throw new Error(`Invalid array type: ${t.constructor}`);
-                }
-            });
-    }),
-    fn,
-    Ku,
-    xi,
-    Ju = L(() => {
-        fe(),
-            ae(),
-            (fn = (t, e, o) => {
-                let i = o === 0 || o === 1 ? 1 : 4,
-                    u = o === 2,
-                    n = o === 1 || o === 2,
-                    s = o === 4 ? e.length - 1 : void 0,
-                    d = o === 4 ? e.map((f, r) => (r === e.length - 1 ? f * 4 : f)) : void 0;
-                return xi(t, e, i, d, { isPacked: u, reverseWH: n, breakAxis: s });
-            }),
-            (Ku = (t, e, o) => {
-                let i = fn(t, e, o);
-                return [i.width, i.height];
-            }),
-            (xi = (t, e, o = 1, i, u) => {
-                let n = !!(u && u.isPacked),
-                    [s, d] = t.computeTextureWH((n && i) || e, u),
-                    f = e.length,
-                    r = e.slice(0);
-                if ((f === 0 && (r = [1]), o === 1)) i = e;
-                else if (n) {
-                    if (o !== 4) throw new Error('a packed texture must be 4-channel');
-                    (i = e),
-                        f > 0 && (r[f - 1] = Math.ceil(r[f - 1] / 2)),
-                        f > 1 && (r[f - 2] = Math.ceil(r[f - 2] / 2));
-                } else if (!i) throw new Error('Unpacked shape is needed when using channels > 1');
-                return {
-                    width: s,
-                    height: d,
-                    channels: o,
-                    isPacked: n,
-                    shape: r,
-                    strides: U.computeStrides(r),
-                    unpackedShape: i,
-                    reversedWH: u && u.reverseWH,
-                };
-            });
-    }),
-    ih,
-    Qn,
-    Qu = L(() => {
-        ut(),
-            mr(),
-            fe(),
-            zu(),
-            Hu(),
-            qu(),
-            Xu(),
-            ln(),
-            Ju(),
-            ae(),
-            (ih = (t, e) => {
-                let o = e.map((u) => `${u.unpackedShape.join(',')};${u.width}x${u.height}`).join('_'),
-                    i = t.name;
-                return t.cacheHint && (i += '[' + t.cacheHint + ']'), (i += ':' + o), i;
-            }),
-            (Qn = class {
-                constructor(t) {
-                    (this.session = t),
-                        (this.packedTextureDataCache = new Map()),
-                        (this.unpackedTextureDataCache = new Map());
-                }
-                calculateTextureWidthAndHeight(t, e) {
-                    return Ku(this.session.layoutStrategy, t, e);
-                }
-                executeProgram(t, e) {
-                    if (e.length < t.inputNames.length)
-                        throw new Error(`Input size mustn't be less than ${t.inputNames.length}.`);
-                    if (t.inputNames.length !== t.inputTypes.length)
-                        throw new Error('input names size does not match input types');
-                    let o = [];
-                    for (let f = 0; f < t.inputNames.length; ++f)
-                        o[f] = this.getOrCreateTextureData(e[f], t.inputTypes[f]);
-                    let i = ih(t, o),
-                        u = this.session.programManager.getArtifact(i),
-                        n = u ? u.programInfo : typeof t.get == 'function' ? t.get() : t,
-                        s = fn(this.session.layoutStrategy, n.output.dims, n.output.textureType),
-                        d = this.createTextureData(s, n.output.type);
-                    return (
-                        u ||
-                            ((u = this.session.programManager.build(n, o, d)),
-                            this.session.programManager.setArtifact(i, u)),
-                        this.runProgram(u, o, d),
-                        d
-                    );
-                }
-                run(t, e) {
-                    return this.executeProgram(t, e).tensor;
-                }
-                runProgram(t, e, o) {
-                    for (let i = 0; i < e.length; ++i)
-                        if (!!e[i].isPacked != (t.programInfo.inputTypes[i] === 2))
-                            throw new Error(`input[${i}] property packed inconsistent`);
-                    if (!!o.isPacked != (t.programInfo.output.textureType === 2))
-                        throw new Error('output property packed inconsistent');
-                    this.session.programManager.run(t, e, o);
-                }
-                getOrCreateTextureData(t, e) {
-                    let o = this.getTextureData(t.dataId, e === 2);
-                    if (!o && ((o = this.getTextureData(t.dataId, e !== 2)), o))
-                        return e === 2 ? this.pack(o) : this.unpack(o);
-                    if (!o) {
-                        let i = fn(this.session.layoutStrategy, t.dims, e);
-                        if (e === 4) {
-                            let u = t.dims;
-                            if (u.length === 4) {
-                                let n = [u[0], Math.ceil((u[1] * u[2] * u[3]) / 4)],
-                                    s = fn(this.session.layoutStrategy, n, e),
-                                    d = t.numberData;
-                                if ((u[1] * u[2] * u[3]) % 4 !== 0) {
-                                    let f = u[0],
-                                        r = u[1] * u[2] * u[3],
-                                        a = Math.ceil((r * 1) / 4) * 4,
-                                        l = f * a;
-                                    d = new Float32Array(l);
-                                    for (let p = 0; p < f; ++p) {
-                                        let m = p * r,
-                                            y = p * a + (p % 1) * r;
-                                        d.set(t.numberData.subarray(m, m + r), y);
-                                    }
-                                }
-                                return this.createTextureData(s, t.type, d, t, 1);
-                            }
-                        }
-                        if (e === 2) {
-                            let u = xi(this.session.layoutStrategy, t.dims, 1, [], { reverseWH: !0 }),
-                                n = this.createTextureData(u, t.type, t.numberData, t, 1);
-                            o = this.pack(n);
-                        } else o = this.createTextureData(i, t.type, t.numberData, t, 1);
-                    }
-                    return o;
-                }
-                createTextureDataFromLayoutBindTensor(t, e, o, i) {
-                    return this.createTextureData(t, e, o, i, 1);
-                }
-                createTextureData(t, e, o, i, u) {
-                    ce.verbose('InferenceHandler', `Creating TextureData: layout:[${JSON.stringify(t)}]`);
-                    let n = this.session.textureManager.createTextureFromLayout(e, t, o, u);
-                    return this.createTextureDataFromTexture(t, e, n, i);
-                }
-                reshapeUnpacked(t, e) {
-                    let o = this.getOrCreateTextureData(t, 0),
-                        i = {
-                            channels: o.channels,
-                            height: o.height,
-                            width: o.width,
-                            shape: e.length !== 0 ? e : [1],
-                            strides: U.computeStrides(e),
-                            unpackedShape: e,
-                        };
-                    return this.createTextureDataFromTexture(i, t.type, o.texture).tensor;
-                }
-                reshapePacked(t, e) {
-                    let o = this.getOrCreateTextureData(t, 2);
-                    if (Wu(t.dims, e)) {
-                        let d = {
-                            channels: o.channels,
-                            height: o.height,
-                            width: o.width,
-                            shape: e.length !== 0 ? e : [1],
-                            strides: U.computeStrides(e),
-                            unpackedShape: e,
-                            isPacked: !0,
-                        };
-                        return this.createTextureDataFromTexture(d, t.type, o.texture).tensor;
-                    }
-                    let i = yi(t.dims),
-                        u = yi(e),
-                        n = this.reshapePacked(t, i),
-                        s = this.run(Vu(this, n, u), [n]);
-                    return this.reshapePacked(s, e);
-                }
-                cast(t, e) {
-                    let o = this.getOrCreateTextureData(t, 0);
-                    return this.createTextureDataFromTexture(o, e, o.texture).tensor;
-                }
-                createTextureDataFromTexture(t, e, o, i, u) {
-                    let n = {
-                        ...t,
-                        tensor:
-                            i ||
-                            new Fe(
-                                t.unpackedShape,
-                                e,
-                                (s) => this.readTexture(n),
-                                async (s) => this.readTextureAsync(n),
-                                void 0,
-                                u
-                            ),
-                        texture: o,
-                    };
-                    return this.setTextureData(n.tensor.dataId, n, t.isPacked), n;
-                }
-                getTextureData(t, e = !1) {
-                    return this.session.isInitializer(t)
-                        ? this.session.getTextureData(t, e)
-                        : e
-                        ? this.packedTextureDataCache.get(t)
-                        : this.unpackedTextureDataCache.get(t);
-                }
-                setTextureData(t, e, o = !1) {
-                    this.session.isInitializer(t)
-                        ? this.session.setTextureData(t, e, o)
-                        : (o ? this.packedTextureDataCache : this.unpackedTextureDataCache).set(t, e);
-                }
-                isTextureLayoutCached(t, e = !1) {
-                    return !!this.getTextureData(t.dataId, e);
-                }
-                dispose() {
-                    this.session.textureManager.clearActiveTextures(),
-                        this.packedTextureDataCache.forEach((t) => this.session.textureManager.releaseTexture(t)),
-                        (this.packedTextureDataCache = new Map()),
-                        this.unpackedTextureDataCache.forEach((t) => this.session.textureManager.releaseTexture(t)),
-                        (this.unpackedTextureDataCache = new Map());
-                }
-                readTexture(t) {
-                    return t.isPacked
-                        ? this.readTexture(this.unpack(t))
-                        : this.session.backend.glContext.isFloat32DownloadSupported
-                        ? this.session.textureManager.readTexture(t, t.tensor.type, t.channels)
-                        : this.session.textureManager.readUint8TextureAsFloat(Ti(this, t));
-                }
-                async readTextureAsync(t) {
-                    return t.isPacked
-                        ? this.readTextureAsync(this.unpack(t))
-                        : this.session.backend.glContext.isFloat32DownloadSupported
-                        ? this.session.textureManager.readTextureAsync(t, t.tensor.type, t.channels)
-                        : this.session.textureManager.readUint8TextureAsFloat(Ti(this, t));
-                }
-                pack(t) {
-                    return this.executeProgram(Uu(this, t.tensor), [t.tensor]);
-                }
-                unpack(t) {
-                    return this.executeProgram(Yu(this, t.tensor), [t.tensor]);
-                }
-            });
-    }),
-    vi,
-    ee,
-    Ge = L(() => {
-        (vi = class {
-            constructor(t) {
-                Object.assign(this, t);
-            }
-            get cacheKey() {
-                return (
-                    this.key ||
-                        (this.key = Object.getOwnPropertyNames(this)
-                            .sort()
-                            .map((t) => `${this[t]}`)
-                            .join(';')),
-                    this.key
-                );
-            }
-        }),
-            (ee = (t) => new vi(t));
-    }),
-    el,
-    tl,
-    rl,
-    ah,
-    sh,
-    nl = L(() => {
-        Ge(),
-            xe(),
-            ae(),
-            (el = {
-                name: 'BatchNormalization',
-                inputNames: ['A', 'Scale', 'B', 'Mean', 'Variance'],
-                inputTypes: [0, 0, 0, 0, 0],
-            }),
-            (tl = (t, e, o) => (sh(e), [t.run({ ...el, cacheHint: o.cacheKey, get: () => ah(t, e, o) }, e)])),
-            (rl = (t) => {
-                let e = t.attributes.getFloat('epsilon', 1e-5),
-                    o = t.attributes.getFloat('momentum', 0.9),
-                    i = t.attributes.getInt('spatial', 1);
-                return ee({ epsilon: e, momentum: o, spatial: i });
-            }),
-            (ah = (t, e, o) => {
-                let i = q(t.session.backend.glContext.version),
-                    u = e[0].dims.length,
-                    [n, s] = t.calculateTextureWidthAndHeight(e[1].dims, 0),
-                    d = `
-  float process(int[${u}] indices) {
-    vec2 position = offsetToCoords(indices[1], ${n}, ${s});
-    float scale = getColorAsFloat(${i.texture2D}(Scale, position));
-    float mean = getColorAsFloat(${i.texture2D}(Mean, position));
-    float variance = getColorAsFloat(${i.texture2D}(Variance, position));
-    float b = getColorAsFloat(${i.texture2D}(B, position));
-
-    return scale * ( (_A(indices) - mean) / sqrt(variance + float(${o.epsilon})) ) + b;
-  }`;
-                return { ...el, output: { dims: e[0].dims, type: e[0].type, textureType: 0 }, shaderSource: d };
-            }),
-            (sh = (t) => {
-                if (!t || t.length !== 5) throw new Error('BatchNormalization requires 5 inputs.');
-                let e = t[0],
-                    o = t[1],
-                    i = t[2],
-                    u = t[3],
-                    n = t[4];
-                if (
-                    e.dims.length < 3 ||
-                    o.dims.length !== 1 ||
-                    i.dims.length !== 1 ||
-                    u.dims.length !== 1 ||
-                    n.dims.length !== 1
-                )
-                    throw new Error('invalid input shape.');
-                if (
-                    o.dims[0] !== e.dims[1] ||
-                    i.dims[0] !== e.dims[1] ||
-                    u.dims[0] !== e.dims[1] ||
-                    n.dims[0] !== e.dims[1]
-                )
-                    throw new Error('invalid input shape.');
-                if (
-                    (e.type !== 'float32' && e.type !== 'float64') ||
-                    (o.type !== 'float32' && o.type !== 'float64') ||
-                    (i.type !== 'float32' && i.type !== 'float64') ||
-                    (u.type !== 'float32' && u.type !== 'float64') ||
-                    (n.type !== 'float32' && n.type !== 'float64')
-                )
-                    throw new Error('invalid input tensor types.');
-            });
-    }),
-    eo,
-    pt,
-    R,
-    cn,
-    to,
-    Vt = L(() => {
-        (eo = class {
-            constructor(t, e, o, i) {
-                (this.glContext = t),
-                    (this.programInfo = e),
-                    (this.inputTextureLayouts = o),
-                    (this.outputTextureLayout = i);
-            }
-        }),
-            (pt = class {
-                constructor(t) {
-                    this.context = t;
-                }
-            }),
-            (R = class {
-                constructor(t, e) {
-                    (this.routineBody = t), (this.dependencies = e);
-                }
-            }),
-            (cn = class {
-                constructor(t, e, o) {
-                    (this.name = t),
-                        o ? (this.dependencies = o) : (this.dependencies = []),
-                        e && (this.routineBody = e);
-                }
-                addDependency(t) {
-                    t && this.dependencies.push(t);
-                }
-            }),
-            (to = class {
-                static returnOrderedNodes(t) {
-                    if (!t || t.length === 0) return [];
-                    if (t.length === 1) return t;
-                    let e = new Set(),
-                        o = new Set(),
-                        i = new Array();
-                    return this.createOrderedNodes(t, e, o, i), i;
-                }
-                static createOrderedNodes(t, e, o, i) {
-                    for (let u = 0; u < t.length; ++u) this.dfsTraverse(t[u], e, o, i);
-                }
-                static dfsTraverse(t, e, o, i) {
-                    if (!t || o.has(t.name)) return;
-                    if (e.has(t.name))
-                        throw new Error(
-                            "Cyclic dependency detected. Can't topologically sort routines needed for shader."
-                        );
-                    e.add(t.name);
-                    let u = t.dependencies;
-                    if (u && u.length > 0) for (let n = 0; n < u.length; ++n) this.dfsTraverse(u[n], e, o, i);
-                    i.push(t), o.add(t.name), e.delete(t.name);
-                }
-            });
-    });
-function lh() {
-    let t = 'add_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return a + b;
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return v1 + v2;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function fh() {
-    let t = 'div_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return a / b;
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return v1 / v2;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function ch() {
-    let t = 'mul_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return a * b;
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return v1 * v2;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function ph() {
-    let t = 'sub_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return a - b;
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return v1 - v2;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function dh() {
-    let t = 'equal_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float(a == b);
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return vec4(equal(v1, v2));
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function hh() {
-    let t = 'greater_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float(a > b);
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return vec4( v1.r > v2.r ,
-      v1.g > v2.g,
-      v1.b > v2.b,
-      v1.a > v2.a );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function mh() {
-    let t = 'less_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float(a < b);
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return vec4( v1.r < v2.r ,
-                v1.g < v2.g,
-                v1.b < v2.b,
-                v1.a < v2.a );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function bh() {
-    let t = 'and_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float( bool(a) && bool(b) );
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    bvec4 b1 = bvec4(v1);
-    bvec4 b2 = bvec4(v2);
-    return vec4( b1.r && b2.r ,
-                b1.g && b2.g,
-                b1.b && b2.b,
-                b1.a && b2.a );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function gh() {
-    let t = 'or_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float( bool(a) || bool(b) );
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    bvec4 b1 = bvec4(v1);
-    bvec4 b2 = bvec4(v2);
-    return vec4( b1.r || b2.r ,
-                b1.g || b2.g,
-                b1.b || b2.b,
-                b1.a || b2.a );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function yh() {
-    let t = 'xor_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return float( bool(a) ^^ bool(b) );
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    bvec4 b1 = bvec4(v1);
-    bvec4 b2 = bvec4(v2);
-    return vec4( b1.r ^^ b2.r ,
-                b1.g ^^ b2.g,
-                b1.b ^^ b2.b,
-                b1.a ^^ b2.a );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function Th() {
-    return vh('pow');
-}
-function xh() {
-    let t = 'prelu_';
-    return {
-        body: `
-  float ${t}(float a, float b) {
-    return a < 0.0 ? a * b: a;
-  }
-  vec4 ${t}(vec4 v1, vec4 v2) {
-    return vec4(
-      v1.r < 0.0 ? v1.r * v2.r: v1.r,
-      v1.g < 0.0 ? v1.g * v2.g: v1.g,
-      v1.b < 0.0 ? v1.b * v2.b: v1.b,
-      v1.a < 0.0 ? v1.a * v2.a: v1.a
-      );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function vh(t) {
-    let e = `${t}_`;
-    return {
-        body: `
-  float ${e}(float a, float b) {
-    return ${t}(a, b);
-  }
-  vec4 ${e}(vec4 v1, vec4 v2) {
-    return ${t}(v1, v2);
-  }
-  `,
-        name: e,
-        type: 0,
-    };
-}
-var dt,
-    wh,
-    ol,
-    il,
-    al,
-    sl,
-    ul,
-    ll,
-    fl,
-    cl,
-    pl,
-    dl,
-    hl,
-    ml,
-    bl = L(() => {
-        fe(),
-            Vt(),
-            xe(),
-            ae(),
-            (dt = (t, e, o, i = e[0].type, u) => {
-                let n = t.session.pack ? 2 : 0;
-                return {
-                    name: o.name,
-                    inputNames: ['A', 'B'],
-                    inputTypes: [n, n],
-                    cacheHint: u,
-                    get: () => wh(t, e, o, i),
-                };
-            }),
-            (wh = (t, e, o, i = e[0].type) => {
-                let u = t.session.pack ? 2 : 0,
-                    n = !U.areEqual(e[0].dims, e[1].dims),
-                    s = e[0].dims,
-                    d = t.session.pack;
-                if (n) {
-                    let a = Xe.calcShape(e[0].dims, e[1].dims, !1);
-                    if (!a) throw new Error("Can't perform binary op on the given tensors");
-                    s = a;
-                    let l = s.length,
-                        p = e[0].dims.length !== 0 ? e[0].dims.length : 1,
-                        m = e[1].dims.length !== 0 ? e[1].dims.length : 1,
-                        y = e[0].dims.length !== 0 ? 'bcastIndices_A(indices, aindices);' : 'aindices[0] = 0;',
-                        T = e[1].dims.length !== 0 ? 'bcastIndices_B(indices, bindices);' : 'bindices[0] = 0;',
-                        v = q(t.session.backend.glContext.version),
-                        S = d
-                            ? `
-      ${o.body}
-      void main() {
-        vec4 a = getAAtOutCoords();
-        vec4 b = getBAtOutCoords();
-        vec4 result = ${o.name}(a, b);
-        ${v.output} = result;
-      }`
-                            : `
-      ${o.body}
-      float process(int indices[${l}]) {
-        int aindices[${p}];
-        int bindices[${m}];
-        ${y}
-        ${T}
-        return ${o.name}(_A(aindices), _B(bindices));
-      }`;
-                    return {
-                        name: o.name,
-                        inputNames: ['A', 'B'],
-                        inputTypes: [u, u],
-                        output: { dims: s, type: i, textureType: u },
-                        shaderSource: S,
-                        hasMain: d,
-                    };
-                }
-                let f = q(t.session.backend.glContext.version),
-                    r = `
-    ${o.body}
-    void main() {
-      vec4 v1 = ${f.texture2D}(A, TexCoords);
-      vec4 v2 = ${f.texture2D}(B, TexCoords);
-      vec4 result = ${o.name}(v1, v2);
-      ${f.output} = result;
-    }
-    `;
-                return {
-                    name: o.name,
-                    inputNames: ['A', 'B'],
-                    inputTypes: [u, u],
-                    output: { dims: e[0].dims, type: i, textureType: u },
-                    shaderSource: r,
-                    hasMain: !0,
-                };
-            }),
-            (ol = (t, e) => [t.run(dt(t, e, lh()), e)]),
-            (il = (t, e) => [t.run(dt(t, e, bh(), 'bool'), e)]),
-            (al = (t, e) => [t.run(dt(t, e, fh()), e)]),
-            (sl = (t, e) => [t.run(dt(t, e, dh(), 'bool'), e)]),
-            (ul = (t, e) => [t.run(dt(t, e, hh(), 'bool'), e)]),
-            (ll = (t, e) => [t.run(dt(t, e, mh(), 'bool'), e)]),
-            (fl = (t, e) => [t.run(dt(t, e, ch()), e)]),
-            (cl = (t, e) => [t.run(dt(t, e, gh(), 'bool'), e)]),
-            (pl = (t, e) => [t.run(dt(t, e, Th()), e)]),
-            (dl = (t, e) => [t.run(dt(t, e, xh()), e)]),
-            (hl = (t, e) => [t.run(dt(t, e, ph()), e)]),
-            (ml = (t, e) => [t.run(dt(t, e, yh(), 'bool'), e)]);
-    }),
-    gl,
-    yl,
-    Oh,
-    Tl = L(() => {
-        fe(),
-            (gl = (t, e, o) => (Oh(e), [t.cast(e[0], o)])),
-            (yl = (t) => Ve.tensorDataTypeFromProto(t.attributes.getInt('to'))),
-            (Oh = (t) => {
-                if (!t || t.length !== 1) throw new Error('Cast requires 1 input.');
-                if (t[0].type === 'string') throw new Error('Invalid input type.');
-            });
-    }),
-    Ih,
-    Sh,
-    xl,
-    ro,
-    vl = L(() => {
-        xe(),
-            ae(),
-            Ft(),
-            br(),
-            (Ih = (t, e) => ({
-                name: 'Concat (packed)',
-                inputNames: Array.from({ length: t }, (o, i) => `X${i}`),
-                inputTypes: Array(t).fill(2),
-                cacheHint: e,
-            })),
-            (Sh = (t, e, o, i) => {
-                let u = o[0].dims.slice();
-                if (i >= u.length || i < -1 * u.length)
-                    throw new Error("axis specified for concat doesn't match input dimensionality");
-                i < 0 && (i = u.length + i);
-                let n = u.slice(0);
-                for (let B = 1; B < o.length; B++) {
-                    let J = o[B].dims.slice();
-                    for (let Q = 0; Q < u.length; Q++)
-                        if (Q === i) n[i] += J[Q];
-                        else if (u[Q] !== J[Q]) throw new Error('non concat dimensions must match');
-                }
-                let s = n.length,
-                    d = Nr('coords', s),
-                    f = Ke(s),
-                    r = $t(),
-                    a = o.map((B) => B.dims),
-                    l = St(s),
-                    p = new Array(a.length - 1);
-                p[0] = a[0][i];
-                for (let B = 1; B < p.length; B++) p[B] = p[B - 1] + a[B][i];
-                let m = l[i],
-                    y = l.slice(-2),
-                    T = l.join(),
-                    v = `if (${m} < ${p[0]}) {
-        return getChannel(
-            getX0(${T}), vec2(${y.join()}));
-        }`;
-                for (let B = 1; B < p.length; B++) {
-                    let J = p[B - 1];
-                    v += `
-            if (${m} < ${p[B]}  && ${m} >= ${p[B - 1]}) {
-              return getChannel(
-                getX${B}(${ro(l, m, J)}),
-                vec2(${ro(y, m, J)}));
-            }`;
-                }
-                let S = p.length,
-                    E = p[p.length - 1];
-                v += `
-            return getChannel(
-              getX${S}(${ro(l, m, E)}),
-              vec2(${ro(y, m, E)}));`;
-                let A = q(t.session.backend.glContext.version),
-                    F = `
-          ${r}
-          float getValue(${l.map((B) => 'int ' + B)}) {
-            ${v}
-          }
-
-          void main() {
-            ${f} coords = getOutputCoords();
-            int lastDim = coords.${l[s - 1]};
-            coords.${l[s - 1]} = coords.${l[s - 2]};
-            coords.${l[s - 2]} = lastDim;
-
-            vec4 result = vec4(getValue(${d}), 0., 0., 0.);
-
-            ${d[s - 1]} = ${d[s - 1]} + 1;
-            if (${d[s - 1]} < ${n[s - 1]}) {
-              result.g = getValue(${d});
-            }
-
-            ${d[s - 2]} = ${d[s - 2]} + 1;
-            if (${d[s - 2]} < ${n[s - 2]}) {
-              result.a = getValue(${d});
-            }
-
-            ${d[s - 1]} = ${d[s - 1]} - 1;
-            if (${d[s - 2]} < ${n[s - 2]} &&
-                ${d[s - 1]} < ${n[s - 1]}) {
-              result.b = getValue(${d});
-            }
-            ${A.output} = result;
-          }
-        `;
-                return { ...e, output: { dims: n, type: o[0].type, textureType: 2 }, shaderSource: F, hasMain: !0 };
-            }),
-            (xl = (t, e, o) => {
-                let i = Ih(e.length, o.cacheKey);
-                return { ...i, get: () => Sh(t, i, e, o.axis) };
-            }),
-            (ro = (t, e, o) => {
-                let i = t.indexOf(e);
-                return t.map((u, n) => (n === i ? `${u} - ${o}` : u)).join();
-            });
-    }),
-    wl,
-    Ah,
-    Ph,
-    Eh,
-    _l,
-    Dh,
-    Lh,
-    Fh,
-    Ol,
-    $h,
-    Il = L(() => {
-        Ge(),
-            ae(),
-            vl(),
-            (wl = (t, e, o) => (
-                $h(e), t.session.pack && e[0].dims.length > 1 ? [t.run(xl(t, e, o), e)] : [t.run(Eh(t, e, o), e)]
-            )),
-            (Ah = (t, e) => ({
-                name: 'Concat',
-                inputNames: Array.from({ length: t }, (o, i) => `X${i}`),
-                inputTypes: Array(t).fill(0),
-                cacheHint: e,
-            })),
-            (Ph = (t, e, o, i) => {
-                let u = o[0].dims.slice();
-                if (i >= u.length || i < -1 * u.length)
-                    throw new Error("axis specified for concat doesn't match input dimensionality");
-                i < 0 && (i = u.length + i);
-                let n = u.slice(0);
-                for (let m = 1; m < o.length; m++) {
-                    let y = o[m].dims.slice();
-                    for (let T = 0; T < u.length; T++)
-                        if (T === i) n[i] += y[T];
-                        else if (u[T] !== y[T]) throw new Error('non concat dimensions must match');
-                }
-                let s = n.length,
-                    d = new Array(o.length),
-                    f = 0;
-                for (let m = 0; m < d.length; ++m) (f += o[m].dims[i]), (d[m] = f);
-                let r = '';
-                o.length < 5 ? (r = _l(d)) : (r = Dh(d));
-                let a = Lh(o.length, s),
-                    l = Fh(d),
-                    p = `
-        ${a}
-        ${l}
-        ${r}
-        float process(int indices[${s}]) {
-          int textureIndex = getTextureWhereDataResides (indices[${i}]);
-
-          if(textureIndex != 0) {
-            indices[${i}] = indices[${i}] - int(getSizeInConcatAxisValueFromIndex(textureIndex-int(1)));
-          }
-
-          return fetchDataFromCorrectTexture(textureIndex, indices);
-        }`;
-                return { ...e, output: { dims: n, type: o[0].type, textureType: 0 }, shaderSource: p };
-            }),
-            (Eh = (t, e, o) => {
-                let i = Ah(e.length, o.cacheKey);
-                return { ...i, get: () => Ph(t, i, e, o.axis) };
-            }),
-            (_l = (t) => `int getTextureWhereDataResides(int index) {
-      ${t
-          .map(
-              (e, o) => `if(index<${e}) {return ${o};}
-`
-          )
-          .join('')}
-    }`),
-            (Dh = (t) => _l(t)),
-            (Lh = (t, e) => {
-                let o = [`float fetchDataFromCorrectTexture(int textureIndex, int indices[${e}]) {`];
-                for (let i = 0; i < t; ++i)
-                    i === 0
-                        ? o.push(`	if (textureIndex == ${i}) { return _X${i}(indices); }`)
-                        : i === t - 1
-                        ? o.push(`	else { return _X${i}(indices); }`)
-                        : o.push(`	else if (textureIndex == ${i}) { return _X${i}(indices); }`);
-                return (
-                    o.push('	}'),
-                    o.join(`
-`)
-                );
-            }),
-            (Fh = (t) => {
-                let e = ['int getSizeInConcatAxisValueFromIndex(int index) {'];
-                for (let o = 0; o < t.length; ++o)
-                    o === 0
-                        ? e.push(`	if (index == ${o}) { return ${t[o]}; }`)
-                        : o === t.length - 1
-                        ? e.push(`	else { return ${t[o]}; }`)
-                        : e.push(`	else if (index == ${o}) { return ${t[o]}; }`);
-                return (
-                    e.push('	}'),
-                    e.join(`
-`)
-                );
-            }),
-            (Ol = (t) => ee({ axis: t.attributes.getInt('axis') })),
-            ($h = (t) => {
-                if (!t || t.length < 1) throw new Error('too few inputs');
-                let e = t[0].type,
-                    o = t[0].dims.length;
-                if (e === 'string') throw new Error('string tensor is not supported yet');
-                for (let i of t) {
-                    if (i.type !== e) throw new Error('input tensors should be one type');
-                    if (i.dims.length !== o) throw new Error('input tensors should have the same shape');
-                }
-            });
-    });
-function Ch() {
-    return ht('abs');
-}
-function kh() {
-    return ht('acos');
-}
-function Bh() {
-    return ht('asin');
-}
-function Nh() {
-    return ht('atan');
-}
-function Rh() {
-    return ht('ceil');
-}
-function Mh() {
-    return ht('cos');
-}
-function Gh(t) {
-    let e = 'elu';
-    return {
-        body: `
-  const float alpha = float(${t});
-
-  float ${e}_(float a) {
-    return a >= 0.0 ? a: (exp(a) - 1.0) * alpha;
-  }
-  vec4 ${e}_(vec4 v) {
-    return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
-  }
-  `,
-        name: e,
-        type: 0,
-    };
-}
-function Uh() {
-    return ht('exp');
-}
-function zh() {
-    return ht('floor');
-}
-function wi(t, e) {
-    let o = 'clip';
-    return {
-        body: `
-  const float min = float(${t});
-  const float max = float(${e});
-
-  float ${o}_(float a) {
-    return clamp(a, min, max);
-  }
-  vec4 ${o}_(vec4 v) {
-    return clamp(v, min, max);
-  }
-  `,
-        name: o,
-        type: 0,
-    };
-}
-function Vh() {
-    let t = 'indentity';
-    return {
-        body: `
-  float ${t}_(float a) {
-    return a;
-  }
-  vec4 ${t}_(vec4 v) {
-    return v;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function Wh(t) {
-    let e = 'leakyRelu';
-    return {
-        body: `
-  const float alpha = float(${t});
-
-  float ${e}_(float a) {
-    return a < 0.0 ? a * alpha : a;
-  }
-  vec4 ${e}_(vec4 v) {
-    return vec4(${e}_(v.x), ${e}_(v.y), ${e}_(v.z), ${e}_(v.w));
-  }
-  `,
-        name: e,
-        type: 0,
-    };
-}
-function Hh() {
-    return ht('log');
-}
-function qh() {
-    let t = 'neg';
-    return {
-        body: `
-  float ${t}_(float a) {
-    return -a;
-  }
-  vec4 ${t}_(vec4 v) {
-    return -v;
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function jh() {
-    let t = 'not';
-    return {
-        body: `
-  float ${t}_(float a) {
-    return float( ! bool(a) );
-  }
-  bool ${t}_(bool a) {
-    return !a;
-  }
-  vec4 ${t}_(vec4 v) {
-    return vec4(!bool(v.x), !bool(v.y), !bool(v.z), !bool(v.w));
-  }
-  bvec4 ${t}_(bvec4 v) {
-    return bvec4(!v.x, !v.y, !v.z, !v.w);
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function Yh() {
-    return ht('sin');
-}
-function _i() {
-    let t = 'relu';
-    return {
-        body: `
-  float ${t}_(float a) {
-    return max( a, 0.0 );
-  }
-  vec4 ${t}_(vec4 v) {
-    return max( v, 0.0 );
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function Oi() {
-    let t = 'sigmoid';
-    return {
-        body: `
-  float ${t}_(float a) {
-    return 1.0 / (1.0 + exp(-a));
-  }
-  vec4 ${t}_(vec4 v) {
-    return 1.0 / (1.0 + exp(-v));
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function Xh() {
-    return ht('sqrt');
-}
-function Kh() {
-    return ht('tan');
-}
-function Jh() {
-    let t = 'tanh';
-    return {
-        body: `
-  float ${t}_(float a) {
-    a = clamp(a, -10., 10.);
-    a = exp(2.*a);
-    return (a - 1.) / (a + 1.);
-  }
-  vec4 ${t}_(vec4 v) {
-    v = clamp(v, -10., 10.);
-    v = exp(2.*v);
-    return (v - 1.) / (v + 1.);
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-function ht(t) {
-    return {
-        body: `
-  float ${t}_(float a) {
-    return ${t}(a);
-  }
-  vec4 ${t}_(vec4 v) {
-    return ${t}(v);
-  }
-  `,
-        name: t,
-        type: 0,
-    };
-}
-var Zh,
-    Pe,
-    Sl,
-    Al,
-    Pl,
-    El,
-    Ii,
-    Dl,
-    Ll,
-    Qh,
-    Fl,
-    $l,
-    Cl,
-    kl,
-    Bl,
-    Nl,
-    Si,
-    Rl,
-    Ml,
-    Gl,
-    Ul,
-    zl,
-    Vl,
-    Wl,
-    Hl,
-    ql,
-    jl,
-    Yl,
-    Ai = L(() => {
-        Ge(),
-            fe(),
-            Vt(),
-            xe(),
-            ae(),
-            (Zh = (t, e, o, i) => {
-                let u = t.session.pack ? 2 : 0,
-                    n = q(t.session.backend.glContext.version);
-                return {
-                    ...e,
-                    output: { dims: o.dims, type: o.type, textureType: u },
-                    shaderSource: `
-     ${i.body}
-     void main() {
-       vec4 v = ${n.texture2D}(A, TexCoords);
-       v = ${i.name}_(v);
-       ${n.output} = v;
-     }
-     `,
-                    hasMain: !0,
-                };
-            }),
-            (Pe = (t, e, o, i) => {
-                let u = t.session.pack ? 2 : 0,
-                    n = { name: o.name, inputTypes: [u], inputNames: ['A'], cacheHint: i };
-                return { ...n, get: () => Zh(t, n, e, o) };
-            }),
-            (Sl = (t, e) => [t.run(Pe(t, e[0], Ch()), e)]),
-            (Al = (t, e) => [t.run(Pe(t, e[0], kh()), e)]),
-            (Pl = (t, e) => [t.run(Pe(t, e[0], Bh()), e)]),
-            (El = (t, e) => [t.run(Pe(t, e[0], Nh()), e)]),
-            (Ii = (t, e, o) => [t.run(Pe(t, e[0], wi(o.min, o.max), o.cacheKey), e)]),
-            (Dl = (t) => ee({ min: t.attributes.getFloat('min', dr), max: t.attributes.getFloat('max', hr) })),
-            (Ll = (t, e) => {
-                let o = Qh(t, e);
-                return Ii(t, [e[0]], o);
-            }),
-            (Qh = (t, e) => {
-                if (e.length >= 3 && (!t.session.isInitializer(e[1].dataId) || !t.session.isInitializer(e[2].dataId)))
-                    throw new Error('dynamic clip attributes are not allowed');
-                let o = e.length >= 3 ? e[1].numberData[0] : dr,
-                    i = e.length >= 3 ? e[2].numberData[0] : hr;
-                return ee({ min: o, max: i });
-            }),
-            (Fl = (t, e) => [t.run(Pe(t, e[0], Rh()), e)]),
-            ($l = (t, e) => [t.run(Pe(t, e[0], Mh()), e)]),
-            (Cl = (t, e, o) => [t.run(Pe(t, e[0], Gh(o.alpha), o.cacheKey), e)]),
-            (kl = (t) => ee({ alpha: t.attributes.getFloat('alpha', 1) })),
-            (Bl = (t, e) => [t.run(Pe(t, e[0], Uh()), e)]),
-            (Nl = (t, e) => [t.run(Pe(t, e[0], zh()), e)]),
-            (Si = (t, e) => [t.run(Pe(t, e[0], Vh()), e)]),
-            (Rl = (t, e, o) => [t.run(Pe(t, e[0], Wh(o.alpha), o.cacheKey), e)]),
-            (Ml = (t) => ee({ alpha: t.attributes.getFloat('alpha', 0.01) })),
-            (Gl = (t, e) => [t.run(Pe(t, e[0], Hh()), e)]),
-            (Ul = (t, e) => [t.run(Pe(t, e[0], qh()), e)]),
-            (zl = (t, e) => [t.run(Pe(t, e[0], jh()), e)]),
-            (Vl = (t, e) => [t.run(Pe(t, e[0], _i()), e)]),
-            (Wl = (t, e) => [t.run(Pe(t, e[0], Oi()), e)]),
-            (Hl = (t, e) => [t.run(Pe(t, e[0], Yh()), e)]),
-            (ql = (t, e) => [t.run(Pe(t, e[0], Xh()), e)]),
-            (jl = (t, e) => [t.run(Pe(t, e[0], Kh()), e)]),
-            (Yl = (t, e) => [t.run(Pe(t, e[0], Jh()), e)]);
-    });
-function Ct(t) {
-    let e;
-    switch (t.activation) {
-        case 'Relu':
-            e = _i();
-            break;
-        case 'Sigmoid':
-            e = Oi();
-            break;
-        case 'Clip':
-            e = wi(t.clipMin, t.clipMax);
-            break;
-        default:
-            return { activationFunction: '', applyActivation: '' };
-    }
-    let o = e.name,
-        i = e.body,
-        u = `value = ${o}_(value);`;
-    return { activationFunction: i, applyActivation: u };
-}
-var Rr,
-    gr = L(() => {
-        fe(),
-            Ai(),
-            (Rr = (t) => {
-                let e = t.getString('activation', '');
-                if (e === 'Clip') {
-                    let [o, i] = t.getFloats('activation_params', [dr, hr]);
-                    return { activation: e, clipMax: i, clipMin: o, activationCacheKey: `${e}:${o},${i}` };
-                }
-                return { activation: e, activationCacheKey: e };
-            });
-    }),
-    tm,
-    rm,
-    Xl,
-    Kl = L(() => {
-        ut(),
-            xe(),
-            ae(),
-            no(),
-            gr(),
-            (tm = (t, e) => ({
-                name: 'GroupedConv',
-                inputNames: t ? ['X', 'W', 'Bias'] : ['X', 'W'],
-                inputTypes: t ? [0, 0, 0] : [0, 0],
-                cacheHint: e,
-            })),
-            (rm = (t, e, o, i) => {
-                let u = e.length > 2 ? 'value += getBias(output_channel);' : '',
-                    n = e[0].dims.slice(),
-                    s = e[1].dims.slice(),
-                    d = s[0] / i.group;
-                ce.verbose(
-                    'GroupedConv',
-                    `autpPad:${i.autoPad}, dilations:${i.dilations}, group:${i.group}, kernelShape:${i.kernelShape}, pads:${i.pads}, strides:${i.strides}`
-                );
-                let f = Mr(n, s, i.dilations, i.pads, i.strides),
-                    r = q(t.session.backend.glContext.version),
-                    { activationFunction: a, applyActivation: l } = Ct(i),
-                    p = `
-  const ivec2 strides = ivec2(${i.strides[0]}, ${i.strides[1]});
-  const ivec2 pads = ivec2(${i.pads[0]}, ${i.pads[1]});
-  ${a}
-  void main() {
-    ivec4 coords = getOutputCoords();
-    int batch = coords.x;
-    int output_channel = coords.y;
-    ivec2 xRCCorner = coords.zw * strides - pads;
-    int group_id = output_channel / ${d};
-
-    float value = 0.0;
-    for (int wInChannel = 0; wInChannel < ${s[1]}; wInChannel++) {
-      int input_channel = group_id * ${s[1]} + wInChannel;
-      for (int wHeight = 0; wHeight < ${s[2]}; wHeight++) {
-        int xHeight = xRCCorner.x + wHeight * ${i.dilations[0]};
-
-        if (xHeight < 0 || xHeight >= ${n[2]}) {
-          continue;
-        }
-
-        for (int wWidth = 0; wWidth < ${s[3]}; wWidth++) {
-          int xWidth = xRCCorner.y + wWidth * ${i.dilations[1]};
-          if (xWidth < 0 || xWidth >= ${n[3]}) {
-            continue;
-          }
-
-          float xVal = getX(batch, input_channel, xWidth, xHeight);
-          float wVal = getW(output_channel, wInChannel, wWidth, wHeight);
-          value += xVal*wVal;
-        }
-      }
-    }
-    ${u}
-    ${l}
-    ${r.output} = vec4(value, .0, .0, .0);
-  }
-`;
-                return { ...o, output: { dims: f, type: e[0].type, textureType: 0 }, shaderSource: p, hasMain: !0 };
-            }),
-            (Xl = (t, e, o) => {
-                let i = tm(e.length > 2, o.cacheKey);
-                return { ...i, get: () => rm(t, e, i, o) };
-            });
-    }),
-    nm,
-    om,
-    Jl,
-    Zl = L(() => {
-        xe(),
-            ae(),
-            br(),
-            (nm = (t) => ({ name: 'Im2Col (packed)', inputNames: ['A'], inputTypes: [2], cacheHint: t })),
-            (om = (t, e, o, i, u, n) => {
-                let s = o.dims,
-                    d = i.dims,
-                    f = 2,
-                    r = 3,
-                    a = u.length,
-                    l = [d[1] * d[2] * d[3], u[2] * u[3]],
-                    p = d[2] * d[3],
-                    m = $t(),
-                    y = q(t.session.backend.glContext.version),
-                    T = '';
-                for (let S = 0; S <= 1; S++)
-                    for (let E = 0; E <= 1; E++)
-                        T += `
-            blockIndex = rc.x + ${E};
-            pos = rc.y + ${S};
-
-            if(blockIndex < ${l[1]} && pos < ${l[0]}) {
-              offsetY = int(blockIndex / (${u[a - 1]})) * ${n.strides[0]} -
-                ${n.pads[0]};
-              d0 = offsetY + ${n.dilations[0]} * (imod(pos, ${p}) / ${d[2]});
-
-              if(d0 < ${s[f]} && d0 >= 0) {
-                offsetX = imod(blockIndex, ${u[a - 1]}) * ${n.strides[1]} -
-                  ${n.pads[1]};
-                d1 = offsetX + ${n.dilations[1]} * imod(imod(pos, ${p}), ${d[2]});
-
-                if(d1 < ${s[r]} && d1 >= 0) {
-
-                  ch = int(float(pos)/ ${p}.);
-                    innerDims = vec2(d0, d1);
-                    result[${S * 2 + E}] = getChannel(
-                      getA(0, ch, int(innerDims.x),
-                      int(innerDims.y)), innerDims);
-                }
-              }
-            }
-
-          `;
-                let v = `
-      ${m}
-
-      void main() {
-        ivec2 rc = getOutputCoords();
-          vec4 result = vec4(0.0);
-          int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
-          vec2 innerDims;
-          ${T}
-          ${y.output} = result;
-      }
-            `;
-                return { ...e, output: { dims: l, type: o.type, textureType: 2 }, shaderSource: v, hasMain: !0 };
-            }),
-            (Jl = (t, e, o, i, u) => {
-                let n = nm(u.cacheKey);
-                return { ...n, get: () => om(t, n, e, o, i, u) };
-            });
-    });
-function am(t, e, o) {
-    let i = e[0].dims,
-        u = e[1].dims,
-        n = Xe.calcShape(i, u, !0);
-    if (!n) throw new Error("Can't use matmul on the given tensors");
-    let s = Ke(n.length),
-        d = St(),
-        { activationFunction: f, applyActivation: r } = Ct(o),
-        a = e.length > 2,
-        l = a ? 'value += getBiasForMatmul();' : '',
-        p = a ? `${Ei(s, d, e[2].dims, n, !1)}` : '',
-        m = n.length,
-        y = i.length,
-        T = u.length,
-        v = i[i.length - 1],
-        S = `
-    ${f}
-    ${p}
-    float process(int indices[${m}]) {
-        int a[${y}];
-        int b[${T}];
-        bcastMatmulIndices_A(indices, a);
-        bcastMatmulIndices_B(indices, b);
-
-        float value;
-        for (int k=0; k<${v}; ++k) {
-            a[${y - 1}] = k;
-            b[${T - 2}] = k;
-            value += _A(a) * _B(b);
-        }
-        ${l}
-        ${r}
-        return value;
-    }`;
-    return { ...t, output: { dims: n, type: e[0].type, textureType: 0 }, shaderSource: S };
-}
-function Pi(t, e) {
-    let o = im(t.length > 2, e.activationCacheKey);
-    return { ...o, get: () => am(o, t, e) };
-}
-function Ei(t, e, o, i, u) {
-    let n = '',
-        s = o.length,
-        d = i.length,
-        f = d - s;
-    d < 2 && s > 0 ? (n = 'coords') : (n = o.map((p, m) => `coords.${e[m + f]}`).join(', '));
-    let r = Xe.getBroadcastDims(o, i).map((p) => `coords.${e[p + f]} = 0;`).join(`
-`),
-        a = U.size(o) === 1,
-        l = 'vec4(outputValue.xx, outputValue.yy)';
-    return (
-        a && (l = 'vec4(outputValue.x)'),
-        u
-            ? `
-vec4 getBiasForMatmul() {
-  ${t} coords = getOutputCoords();
-  ${r}
-  vec4 outputValue = getBias(${n});
-  return ${l};
-}`
-            : `
-float getBiasForMatmul() {
-  ${t} coords = getOutputCoords();
-  ${r}
-  return getBias(coords.x);
-}`
-    );
-}
-var Ql,
-    ef,
-    im,
-    sm,
-    oo = L(() => {
-        fe(),
-            ae(),
-            Ft(),
-            gr(),
-            Di(),
-            (Ql = (t, e, o) => (sm(e), t.session.pack ? [t.run(io(t, e, o), e)] : [t.run(Pi(e, o), e)])),
-            (ef = (t) => Rr(t.attributes)),
-            (im = (t, e) => ({
-                name: 'MatMul',
-                inputNames: t ? ['A', 'B', 'Bias'] : ['A', 'B'],
-                inputTypes: t ? [0, 0, 0] : [0, 0],
-                cacheHint: e,
-            })),
-            (sm = (t) => {
-                if (!t || t.length !== 2) throw new Error('MatMul requires 2 inputs.');
-                if (t[0].dims[t[0].dims.length - 1] !== t[1].dims[t[1].dims.length - 2])
-                    throw new Error('shared dimension does not match.');
-                if (
-                    (t[0].type !== 'float32' && t[0].type !== 'float64') ||
-                    (t[1].type !== 'float32' && t[1].type !== 'float64')
-                )
-                    throw new Error('inputs should be float type');
-                if (t[0].type !== t[1].type) throw new Error('inputs types should match');
-            });
-    });
-function fm(t, e, o, i) {
-    let u = [],
-        n = [],
-        s = o[0].dims,
-        d = o[1].dims,
-        f = s.length,
-        r = d.length,
-        a = i.length,
-        l = a - f,
-        p = a - r;
-    (u = s.map((E, A) => `coords.${e[A + l]}`)),
-        (u[f - 1] = 'i*2'),
-        u.join(', '),
-        (n = d.map((E, A) => `coords.${e[A + p]}`)),
-        (n[r - 2] = 'i*2'),
-        n.join(', ');
-    let m = Xe.getBroadcastDims(s, i),
-        y = Xe.getBroadcastDims(d, i),
-        T = m.map((E) => `coords.${e[E + l]} = 0;`).join(`
-`),
-        v = y.map((E) => `coords.${e[E + p]} = 0;`).join(`
-`),
-        S = `int lastDim = coords.${e[a - 1]};
-  coords.${e[a - 1]} = coords.${e[a - 2]};
-  coords.${e[a - 2]} = lastDim;`;
-    return `
-vec4 getAAtOutCoordsMatmul(int i) {
-  ${t} coords = getOutputCoords();
-  ${S}
-  ${T}
-  vec4 outputValue = getA(${u});
-  return outputValue;
-}
-
-vec4 getBAtOutCoordsMatmul(int i) {
-  ${t} coords = getOutputCoords();
-  ${S}
-  ${v}
-  vec4 outputValue = getB(${n});
-  return outputValue;
-}`;
-}
-function cm(t, e) {
-    let o = '';
-    for (let i = 0; i < e - 2; i++) o += `rc.${t[i]}, `;
-    return (o += `rc.${t[e - 2]}, i*2`), o;
-}
-function pm(t, e) {
-    let o = '';
-    for (let i = 0; i < e - 2; i++) o += `rc.${t[i]}, `;
-    return (o += `i*2, rc.${t[e - 1]}`), o;
-}
-var um,
-    lm,
-    io,
-    Di = L(() => {
-        fe(),
-            xe(),
-            ae(),
-            Ft(),
-            gr(),
-            oo(),
-            (um = (t, e) => ({
-                name: 'MatMul (packed)',
-                inputNames: t ? ['A', 'B', 'Bias'] : ['A', 'B'],
-                inputTypes: t ? [2, 2, 2] : [2, 2],
-                cacheHint: e,
-            })),
-            (lm = (t, e, o, i) => {
-                let u = o.length > 2,
-                    n = u ? 'value += getBiasForMatmul();' : '',
-                    s = o[0].dims,
-                    d = o[1].dims,
-                    f = Xe.calcShape(s, d, !0),
-                    r = !U.areEqual(o[0].dims, o[1].dims);
-                if (!f) throw new Error("Can't use matmul on the given tensors");
-                let a = s[s.length - 1],
-                    l = Math.ceil(a / 2),
-                    p = s.length,
-                    m = d.length,
-                    y = q(t.session.backend.glContext.version),
-                    T = Ke(f.length),
-                    v = f.length,
-                    S = St(),
-                    { activationFunction: E, applyActivation: A } = Ct(i),
-                    F = u ? `${Ei(T, S, o[2].dims, f, !0)}` : '',
-                    B = r ? `${fm(T, S, o, f)}` : '',
-                    J = r ? 'getAAtOutCoordsMatmul(i)' : `getA(${cm(S, p)})`,
-                    Q = r ? 'getBAtOutCoordsMatmul(i)' : `getB(${pm(S, m)})`,
-                    re = r
-                        ? ''
-                        : `${T} rc =
-          getOutputCoords(); int lastDim = rc.${S[v - 1]}; rc.${S[v - 1]} =
-          rc.${S[v - 2]}; rc.${S[v - 2]} = lastDim;
-      `,
-                    V = `
-            ${B}
-            ${F}
-            ${E}
-            void main() {
-              ${re}
-
-              vec4 value = vec4(0);
-              for (int i = 0; i < ${l}; i++) {
-                vec4 a = ${J};
-                vec4 b = ${Q};
-
-                value += (a.rrbb * b.rgrg);
-                value += (a.ggaa * b.baba);
-              }
-              ${n}
-              ${A}
-              ${y.output} = value;
-            }`;
-                return { ...e, output: { dims: f, type: o[0].type, textureType: 2 }, shaderSource: V, hasMain: !0 };
-            }),
-            (io = (t, e, o) => {
-                let i = um(e.length > 2, o.activationCacheKey);
-                return { ...i, get: () => lm(t, i, e, o) };
-            });
-    }),
-    tf,
-    rf = L(() => {
-        no(),
-            Zl(),
-            Di(),
-            (tf = (t, e, o) => {
-                let i = e[0].dims,
-                    u = e[1].dims,
-                    n = Mr(i, u, o.dilations, o.pads, o.strides),
-                    s = t.run(Jl(t, e[0], e[1], n, o), [e[0]]),
-                    d = t.reshapePacked(e[1], [u[0], u[1] * u[2] * u[3]]),
-                    f = e.length === 3 ? [d, s, e[2]] : [d, s],
-                    r = t.run(io(t, f, o), f);
-                return t.reshapePacked(r, n);
-            });
-    }),
-    dm,
-    hm,
-    nf,
-    Li,
-    Fi = L(() => {
-        ae(),
-            (dm = (t) => ({ name: 'Im2Col', inputNames: ['X'], inputTypes: [0], cacheHint: t })),
-            (hm = (t, e, o, i, u, n) => {
-                let s = o.dims,
-                    d = i.dims,
-                    f = u.length,
-                    r = Li(s, d, u, 4),
-                    a = `
-        const int XC = ${s[1]};
-        const int XH = ${s[2]};
-        const int XW = ${s[3]};
-        const int KH = ${n.kernelShape[0]};
-        const int KW = ${n.kernelShape[1]};
-        const int dilationH = ${n.dilations[0]};
-        const int dilationW = ${n.dilations[1]};
-        const int strideH = ${n.strides[0]};
-        const int strideW = ${n.strides[1]};
-        const int padH = ${n.pads[0]};
-        const int padW = ${n.pads[1]};
-        const int KHKW = KH*KW;
-        const int XCKHKW = XC * KHKW;
-        const int outputChannels = 4;
-        vec4 process(int indices[${f}]) {
-          int b  = indices[0]; // batch size
-          int oh = indices[1] * strideH - padH; //output height
-          int ow = indices[2] * strideW - padW; //output width
-          int p = indices[3] * outputChannels; //patch
-          vec4 value = vec4(0.0);
-          for(int i=0; i < outputChannels; ++i) {
-            if(p < XCKHKW) {
-              int patchC = p / KHKW;
-              int patchH = (p - patchC*KHKW) / KW;
-              int patchW = (p - patchC*KHKW) - patchH * KW;
-              int xh2 = oh + patchH * dilationH;
-              int xw2 = ow + patchW * dilationW;
-              int x[${s.length}];
-              x[0] = b;
-              x[1] = patchC;
-              x[2] = xh2;
-              x[3] = xw2;
-              if(xh2 >= 0 &&
-                  xh2 < XH &&
-                  xw2 >= 0 &&
-                  xw2 < XW) {
-                value[i] = _X(x);
-              }
-            }
-            ++p;
-          }
-          return value;
-        }
-        `;
-                return { ...e, output: { dims: r, type: o.type, textureType: 4 }, shaderSource: a };
-            }),
-            (nf = (t, e, o, i, u) => {
-                let n = dm(u.cacheKey);
-                return { ...n, get: () => hm(t, n, e, o, i, u) };
-            }),
-            (Li = (t, e, o, i = 4) => [o[0], o[2], o[3], Math.ceil((t[1] * e[2] * e[3]) / i)]);
-    }),
-    mm,
-    bm,
-    of,
-    af = L(() => {
-        fe(),
-            xe(),
-            ae(),
-            gr(),
-            Fi(),
-            (mm = (t, e) => ({
-                name: 'ConvDotProduct',
-                inputNames: t ? ['Im2Col', 'K', 'B'] : ['Im2Col', 'K'],
-                inputTypes: t ? [0, 4, 0] : [0, 4],
-                cacheKey: e.activationCacheKey,
-            })),
-            (bm = (t, e, o, i, u) => {
-                let n = o[0].dims,
-                    s = o[1].dims,
-                    d = [s[0], Math.ceil((n[1] * s[2] * s[3]) / 4)],
-                    f = Li(n, s, i),
-                    [r, a] = t.calculateTextureWidthAndHeight(d, 4),
-                    l = U.computeStrides(f),
-                    [p, m] = t.calculateTextureWidthAndHeight(f, 4),
-                    y = i.length,
-                    T = o.length < 3 ? '0.0' : '_B(b)',
-                    v = Math.ceil((n[1] * s[2] * s[3]) / 4),
-                    { activationFunction: S, applyActivation: E } = Ct(u),
-                    A = q(t.session.backend.glContext.version),
-                    F = `
-${S}
-float process(int indices[${y}]) {
-  int b[1];
-  b[0] = indices[1];
-  int im2col[4];
-  im2col[0] = indices[0];
-  im2col[1] = indices[2];
-  im2col[2] = indices[3];
-  int im2colOffset = im2col[0] * ${l[0]} + im2col[1] * ${l[1]} + im2col[2] * ${l[2]};
-  int kernelOffset = indices[1] * ${d[1]};
-  float value = ${T};
-  for (int i = 0; i < ${v}; ++i) {
-    vec2 im2colCoords = offsetToCoords(im2colOffset, ${p}, ${m});
-    vec2 kernelCoords = offsetToCoords(kernelOffset, ${r}, ${a});
-    value += dot(${A.texture2D}(Im2Col, im2colCoords), ${A.texture2D}(K, kernelCoords));
-    ++im2colOffset;
-    ++kernelOffset;
-  }
-  ${E}
-  return value;
-}`;
-                return { ...e, output: { dims: i, type: o[0].type, textureType: 0 }, shaderSource: F };
-            }),
-            (of = (t, e, o, i) => {
-                let u = mm(e.length > 2, i);
-                return { ...u, get: () => bm(t, u, e, o, i) };
-            });
-    }),
-    Mr,
-    $i,
-    gm,
-    ym,
-    Tm,
-    xm,
-    Ci,
-    vm,
-    no = L(() => {
-        Ge(),
-            fe(),
-            Kl(),
-            rf(),
-            af(),
-            gr(),
-            Fi(),
-            oo(),
-            (Mr = (t, e, o, i, u) => {
-                let n = t[0],
-                    s = t.slice(2),
-                    d = s.length,
-                    f = e[0],
-                    r = e.slice(2).map((l, p) => l + (l - 1) * (o[p] - 1)),
-                    a = s.map((l, p) => l + i[p] + i[p + d]).map((l, p) => Math.floor((l - r[p] + u[p]) / u[p]));
-                return [n, f].concat(...a);
-            }),
-            ($i = (t, e, o) => (vm(e, o), gm(t, e, o))),
-            (gm = (t, e, o) => {
-                let i = xm(o, e),
-                    u = t.session.pack,
-                    n = i.kernelShape[0] === 1 && i.kernelShape[1] === 1;
-                return i.group > 1
-                    ? [t.run(Xl(t, e, i), e)]
-                    : n && u
-                    ? [ym(t, e, i)]
-                    : u && e[0].dims.length === 4 && e[0].dims[0] === 1 && !n
-                    ? [tf(t, e, i)]
-                    : [Tm(t, e, i)];
-            }),
-            (ym = (t, e, o) => {
-                let i = e[0].dims,
-                    u = e[1].dims,
-                    n = Mr(i, u, o.dilations, o.pads, o.strides),
-                    s = t.reshapeUnpacked(e[0], [i[1], i[2] * i[3]]),
-                    d = t.reshapeUnpacked(e[1], [u[0], u[1]]),
-                    f = e.length > 2 ? [d, s, e[2]] : [d, s],
-                    r = t.run(Pi(f, o), f);
-                return t.reshapeUnpacked(r, n);
-            }),
-            (Tm = (t, e, o) => {
-                let i = e[0].dims,
-                    u = e[1].dims,
-                    n = Mr(i, u, o.dilations, o.pads, o.strides),
-                    s = t.run(nf(t, e[0], e[1], n, o), [e[0]]),
-                    d = e.length === 3 ? [s, e[1], e[2]] : [s, e[1]];
-                return t.run(of(t, e, n, o), d);
-            }),
-            (xm = (t, e) => {
-                let o = t.kernelShape.slice();
-                if (t.kernelShape.length === 0) for (let n = 2; n < e[1].dims.length; ++n) o.push(e[1].dims[n]);
-                let i = t.pads.slice();
-                pr.adjustPadsBasedOnAutoPad(e[0].dims, t.strides, t.dilations, o, i, t.autoPad);
-                let u = Object.assign({}, t);
-                return Object.assign(u, { kernelShape: o, pads: i, cacheKey: t.cacheKey }), u;
-            }),
-            (Ci = (t) => {
-                let e = t.attributes,
-                    o = Rr(e),
-                    i = e.getString('auto_pad', 'NOTSET'),
-                    u = e.getInts('dilations', [1, 1]),
-                    n = e.getInt('group', 1),
-                    s = e.getInts('kernel_shape', []),
-                    d = e.getInts('pads', [0, 0, 0, 0]),
-                    f = e.getInts('strides', [1, 1]);
-                return ee({ autoPad: i, dilations: u, group: n, kernelShape: s, pads: d, strides: f, ...o });
-            }),
-            (vm = (t, e) => {
-                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Conv requires 2 or 3 inputs');
-                if (t[0].dims.length !== 4 || t[1].dims.length !== 4)
-                    throw new Error('currently only support 2-dimensional conv');
-                let o = t[0].dims[1],
-                    i = t[1].dims[1] * e.group;
-                if (o !== i) throw new Error('FILTER_IN_CHANNEL should be equal to DATA_CHANNEL');
-                if (t.length === 3 && (t[2].dims.length !== 1 || t[1].dims[0] !== t[2].dims[0]))
-                    throw new Error('invalid bias');
-                let u = t[0].dims.length - 2;
-                if (e.dilations.length !== u) throw new Error(`dilations should be ${u}D`);
-                if (e.strides.length !== u) throw new Error(`strides should be ${u}D`);
-                if (e.pads.length !== u * 2) throw new Error(`pads should be ${u * 2}D`);
-                if (e.kernelShape.length !== 0 && e.kernelShape.length !== t[1].dims.length - 2)
-                    throw new Error('invalid kernel shape');
-                if (t[0].type !== 'float32' || t[1].type !== 'float32')
-                    throw new Error('Conv input(X,W) should be float tensor');
-                if (t.length === 3 && t[2].type !== 'float32')
-                    throw new Error('Conv input(bias) should be float tensor');
-            });
-    }),
-    wm,
-    _m,
-    Om,
-    sf,
-    Im,
-    Sm,
-    Am,
-    Pm,
-    Em,
-    Dm,
-    uf,
-    Lm,
-    lf = L(() => {
-        Ge(),
-            xe(),
-            ae(),
-            gr(),
-            (wm = (t, e, o, i, u, n) => (t - 1) * e + o + (i - 1) * u + 1 - n),
-            (_m = (t, e, o, i, u) => {
-                let n = Math.floor(t / 2);
-                e === 'SAME_UPPER' ? ((o[i] = n), (o[u] = t - n)) : e === 'SAME_LOWER' && ((o[i] = t - n), (o[u] = n));
-            }),
-            (Om = (t, e, o, i, u, n, s, d) => {
-                let f = t.length - 2,
-                    r = d.length === 0;
-                for (let a = 0; a < f; ++a) {
-                    let l = r ? t[a + 2] * n[a] : d[a],
-                        p = wm(t[a + 2], n[a], u[a], e[a], o[a], l);
-                    _m(p, i, u, a, a + f),
-                        r && d.push(n[a] * (t[a + 2] - 1) + s[a] + (e[a] - 1) * o[a] + 1 - u[a] - u[a + f]);
-                }
-            }),
-            (sf = (t, e, o) => (Lm(e, o), Im(t, e, o))),
-            (Im = (t, e, o) => {
-                let i = Dm(o, e);
-                return [Em(t, e, i)];
-            }),
-            (Sm = (t, e) => ({
-                name: 'ConvTranspose',
-                inputNames: t ? ['X', 'W', 'B'] : ['X', 'W'],
-                inputTypes: t ? [0, 0, 0] : [0, 0],
-                cacheHint: e,
-            })),
-            (Am = (t, e, o, i) => {
-                let u = e.length > 2 ? 'getB(output_channel)' : '0.0',
-                    n = e[0].dims,
-                    s = e[1].dims,
-                    d = s[1],
-                    f = s[0] / i.group,
-                    r = [e[0].dims[0], e[1].dims[1] * i.group, ...i.outputShape],
-                    a = q(t.session.backend.glContext.version),
-                    { activationFunction: l, applyActivation: p } = Ct(i),
-                    m = `
-  const ivec2 strides = ivec2(${i.strides[0]}, ${i.strides[1]});
-  const ivec2 pads = ivec2(${i.pads[0]}, ${i.pads[1]});
-  ${l}
-  void main() {
-    ivec4 coords = getOutputCoords();
-    int batch = coords.x;
-    int output_channel = coords.y;
-
-    ivec2 loc = coords.zw + pads;
-
-    int group_id = output_channel / ${d};
-    int wOutChannel = output_channel - group_id * ${d};
-
-    float value = ${u};
-    for (int inChannelOffset = 0; inChannelOffset < ${f}; inChannelOffset++) {
-      int input_channel = group_id * ${f} + inChannelOffset;
-      for (int wWOff = 0; wWOff < ${s[2]}; wWOff++) {
-        for (int wHOff = 0; wHOff < ${s[3]}; wHOff++) {
-          ivec2 wOff = ivec2(wWOff * ${i.dilations[0]}, wHOff * ${i.dilations[1]});
-          ivec2 wLoc = loc - wOff;
-          ivec2 wLocIn = wLoc / strides;
-          if (
-            wLocIn * strides == wLoc &&
-            wLocIn.x >= 0 && wLocIn.x < ${n[2]} &&
-            wLocIn.y >= 0 && wLocIn.y < ${n[3]}
-          ) {
-            float xVal = getX(batch, input_channel, wLocIn.y, wLocIn.x);
-            float wVal = getW(input_channel, wOutChannel, wHOff, wWOff);
-            value += xVal * wVal;
-          }
-        }
-      }
-    }
-    ${p}
-    ${a.output} = vec4(value, .0, .0, .0);
-  }
-`;
-                return { ...o, output: { dims: r, type: e[0].type, textureType: 0 }, shaderSource: m, hasMain: !0 };
-            }),
-            (Pm = (t, e, o) => {
-                let i = Sm(e.length > 2, o.cacheKey);
-                return { ...i, get: () => Am(t, e, i, o) };
-            }),
-            (Em = (t, e, o) => t.run(Pm(t, e, o), e)),
-            (Dm = (t, e) => {
-                let o = t.kernelShape.slice();
-                if (t.kernelShape.length === 0) for (let d = 2; d < e[1].dims.length; ++d) o.push(e[1].dims[d]);
-                let i = t.pads.slice(),
-                    u = t.outputShape.slice(),
-                    n = e[0].dims;
-                Om(n, o, t.dilations, t.autoPad, i, t.strides, t.outputPadding, u);
-                let s = Object.assign({}, t);
-                return Object.assign(s, { kernelShape: o, pads: i, outputShape: u, cacheKey: t.cacheKey }), s;
-            }),
-            (uf = (t) => {
-                let e = t.attributes,
-                    o = Rr(e),
-                    i = e.getString('auto_pad', 'NOTSET'),
-                    u = e.getInts('dilations', [1, 1]),
-                    n = e.getInt('group', 1),
-                    s = e.getInts('kernel_shape', []),
-                    d = e.getInts('output_padding', [0, 0]),
-                    f = e.getInts('output_shape', []),
-                    r = e.getInts('pads', [0, 0, 0, 0]),
-                    a = e.getInts('strides', [1, 1]);
-                return ee({
-                    autoPad: i,
-                    dilations: u,
-                    group: n,
-                    kernelShape: s,
-                    outputPadding: d,
-                    outputShape: f,
-                    pads: r,
-                    strides: a,
-                    ...o,
-                });
-            }),
-            (Lm = (t, e) => {
-                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Conv requires 2 or 3 inputs');
-                if (t[0].dims.length !== 4 || t[1].dims.length !== 4)
-                    throw new Error('currently only support 2-dimensional conv');
-                let o = t[0].dims[1],
-                    i = t[1].dims[0];
-                if (o !== i) throw new Error('FILTER_IN_CHANNEL should be equal to DATA_CHANNEL');
-                let u = t[1].dims[1] * e.group;
-                if (t.length === 3 && (t[2].dims.length !== 1 || t[2].dims[0] !== u)) throw new Error('invalid bias');
-                let n = t[0].dims.length - 2;
-                if (e.dilations.length !== n) throw new Error(`dilations should be ${n}D`);
-                if (e.strides.length !== n) throw new Error(`strides should be ${n}D`);
-                if (e.pads.length !== n * 2) throw new Error(`pads should be ${n * 2}D`);
-                if (e.outputPadding.length !== n) throw new Error(`output_padding should be ${n}D`);
-                if (e.kernelShape.length !== 0 && e.kernelShape.length !== t[1].dims.length - 2)
-                    throw new Error('invalid kernel shape');
-                if (e.outputShape.length !== 0 && e.outputShape.length !== t[0].dims.length - 2)
-                    throw new Error('invalid output shape');
-                if (t[0].type !== 'float32' || t[1].type !== 'float32')
-                    throw new Error('ConvTranspose input(X,W) should be float tensor');
-                if (t.length === 3 && t[2].type !== 'float32')
-                    throw new Error('ConvTranspose input(bias) should be float tensor');
-            });
-    }),
-    ff,
-    yr,
-    cf,
-    Fm,
-    pf,
-    $m,
-    Cm,
-    km,
-    ao = L(() => {
-        Ge(),
-            fe(),
-            ae(),
-            (ff = { name: 'Transpose', inputNames: ['A'], inputTypes: [0] }),
-            (yr = (t, e, o) => (km(e), [t.run({ ...ff, cacheHint: o.cacheKey, get: () => Fm(t, e[0], o.perm) }, e)])),
-            (cf = (t) => ee({ perm: t.attributes.getInts('perm', []) })),
-            (Fm = (t, e, o) => {
-                let i = e.dims;
-                o = pf(i, o);
-                let u = $m(i, o),
-                    n = i.length,
-                    s = `
-      ${Cm('perm', o, n)}
-      float process(int indices[${n}]) {
-        int a[${n}];
-        perm(a, indices);
-        return _A(a);
-      }`;
-                return { ...ff, output: { dims: u, type: e.type, textureType: 0 }, shaderSource: s };
-            }),
-            (pf = (t, e) => (e && e.length !== t.length && (e = [...t.keys()].reverse()), e)),
-            ($m = (t, e) => ((e = pf(t, e)), U.sortBasedOnPerm(t, e))),
-            (Cm = (t, e, o) => {
-                let i = [];
-                i.push(`void ${t}(out int a[${o}], int src[${o}]) {`);
-                for (let u = 0; u < o; ++u) i.push(`	a[${e[u]}]=src[${u}];`);
-                return (
-                    i.push('	}'),
-                    i.join(`
-`)
-                );
-            }),
-            (km = (t) => {
-                if (!t || t.length !== 1) throw new Error('Transpose requires 1 input.');
-                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('input should be float tensor');
-            });
-    }),
-    df,
-    hf,
-    Bm,
-    mf = L(() => {
-        ao(),
-            (df = (t, e, o) => {
-                Bm(e);
-                let i = o.blocksize,
-                    u = i * i,
-                    n = o.mode === 'DCR' ? [0, 3, 4, 1, 5, 2] : [0, 1, 4, 2, 5, 3],
-                    s =
-                        o.mode === 'DCR'
-                            ? [e[0].dims[0], i, i, e[0].dims[1] / u, e[0].dims[2], e[0].dims[3]]
-                            : [e[0].dims[0], e[0].dims[1] / u, i, i, e[0].dims[2], e[0].dims[3]],
-                    d = t.reshapeUnpacked(e[0], s),
-                    f = { perm: n, cacheKey: `${n}` },
-                    [r] = yr(t, [d], f),
-                    a = [e[0].dims[0], e[0].dims[1] / u, e[0].dims[2] * i, e[0].dims[3] * i];
-                return [t.reshapeUnpacked(r, a)];
-            }),
-            (hf = (t) => {
-                let e = t.attributes.getInt('blocksize');
-                if (e < 1) throw new Error(`blocksize must be >= 1, but got : ${e} for DepthToSpace`);
-                let o = t.attributes.getString('mode', 'DCR');
-                if (o !== 'DCR' && o !== 'CRD') throw new Error(`unrecognized mode: ${o} for DepthToSpace`);
-                return { mode: o, blocksize: e };
-            }),
-            (Bm = (t) => {
-                if (t.length !== 1) throw new Error(`DepthToSpace expect 1 inputs, but got ${t.length}`);
-                if (t[0].type === 'string' || t[0].dims.length !== 4)
-                    throw new TypeError('DepthToSpace input should be a 4-D numeric tensor');
-            });
-    }),
-    bf,
-    gf,
-    Nm,
-    yf = L(() => {
-        fe(),
-            (bf = (t, e, o) => {
-                Nm(e, o);
-                let i = U.flattenShape(e[0].dims, o);
-                return [t.reshapeUnpacked(e[0], i)];
-            }),
-            (gf = (t) => t.attributes.getInt('axis', 1)),
-            (Nm = (t, e) => {
-                if (!t || t.length !== 1) throw new Error('Flatten requires 1 input.');
-                let o = t[0].dims.length;
-                if (o === 0) throw new Error('scalar tensor is not supported.');
-                if (e < -o || e > o) throw new Error('Invalid axis');
-                if (t[0].type === 'string') throw new Error('string tensor is not supported.');
-            });
-    }),
-    Jt,
-    pn = L(() => {
-        Jt = ['float32', 'float64', 'int32', 'int16', 'int8', 'uint16', 'uint32', 'uint8'];
-    }),
-    Tf,
-    xf,
-    Rm,
-    Mm,
-    Gm,
-    Um,
-    vf = L(() => {
-        Ge(),
-            pn(),
-            fe(),
-            ae(),
-            (Tf = (t, e, o) => (Um(e, o.axis), [t.run(Gm(t, e, o), e)])),
-            (xf = (t) => ee({ axis: t.attributes.getInt('axis', 0) })),
-            (Rm = { name: 'Gather', inputNames: ['A', 'B'], inputTypes: [0, 0] }),
-            (Mm = (t, e, o, i) => {
-                let u = o[0].dims.slice(),
-                    n = o[1].dims.slice(),
-                    s = new Array(u.length + n.length - 1);
-                i = U.normalizeAxis(i, u.length);
-                let d = [];
-                for (let p = 0; p < s.length; p++)
-                    p < i
-                        ? ((s[p] = u[p]), d.push(`inputIdx[${p}] = outputIdx[${p}];`))
-                        : p < i + n.length
-                        ? ((s[p] = n[p - i]), d.push(`indexDataIdx[${p - i}] = outputIdx[${p}];`))
-                        : ((s[p] = u[p - n.length + 1]), d.push(`inputIdx[${p - n.length + 1}] = outputIdx[${p}];`));
-                let f = s.length || 1,
-                    r = u.length,
-                    a = n.length || 1,
-                    l = `
-      float process(int outputIdx[${f}]) {
-        int inputIdx[${r}];
-        int indexDataIdx[${a}];
-        indexDataIdx[0] = 0;
-        ${d.join(`
-        `)}
-        int idx = int(_B(indexDataIdx));
-        inputIdx[${i}] = idx < 0 ? idx + ${u[i]} : idx;
-        return _A(inputIdx);
-      }`;
-                return { ...e, output: { dims: s, type: o[0].type, textureType: 0 }, shaderSource: l };
-            }),
-            (Gm = (t, e, o) => {
-                let i = { ...Rm, cacheHint: o.cacheKey };
-                return { ...i, get: () => Mm(t, i, e, o.axis) };
-            }),
-            (Um = (t, e) => {
-                if (!t || t.length !== 2) throw new Error('Gather requires 2 inputs.');
-                let o = t[0].dims.length;
-                if (o < 1) throw new Error('Invalid input shape.');
-                if (e < -o || e > o - 1) throw new Error('Invalid axis.');
-                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invaid input type.');
-                if (t[1].type !== 'int32' && t[1].type !== 'int16') throw new Error('Invaid input type.');
-            });
-    }),
-    ki,
-    wf,
-    _f,
-    Of,
-    zm,
-    Vm,
-    Wm,
-    If = L(() => {
-        Ge(),
-            fe(),
-            ae(),
-            (ki = (t, e, o) => (Wm(e, o), [t.run(zm(e, o), e)])),
-            (wf = (t, e) => {
-                let o = t.attributes.getInt('transA', 0) !== 0,
-                    i = t.attributes.getInt('transB', 0) !== 0,
-                    u = t.attributes.getFloat('alpha', 1),
-                    n = t.attributes.getFloat('beta', 1);
-                return ee({ transA: o, transB: i, alpha: u, beta: n, isOptionalC: e });
-            }),
-            (_f = (t) => wf(t, !1)),
-            (Of = (t) => wf(t, !0)),
-            (zm = (t, e) => {
-                let o = {
-                    name: 'Gemm',
-                    inputNames: t.length === 3 ? ['A', 'B', 'C'] : ['A', 'B'],
-                    inputTypes: t.length === 3 ? [0, 0, 0] : [0, 0],
-                    key: e.cacheKey,
-                };
-                return { ...o, get: () => Vm(o, t, e) };
-            }),
-            (Vm = (t, e, o) => {
-                let i = e[0].dims.slice(),
-                    u = e[1].dims.slice(),
-                    [n, s] = Xn.getShapeOfGemmResult(i, o.transA, u, o.transB, e.length === 3 ? e[2].dims : void 0),
-                    d = [n, s];
-                if (!d) throw new Error("Can't use gemm on the given tensors");
-                let f = i[i.length - 1],
-                    r = '';
-                o.transA && (f = i[0]),
-                    o.transA && o.transB
-                        ? (r = 'value += _A_T(a) * _B_T(b);')
-                        : o.transA && !o.transB
-                        ? (r = 'value += _A_T(a) * _B(b);')
-                        : !o.transA && o.transB
-                        ? (r = 'value += _A(a) * _B_T(b);')
-                        : !o.transA && !o.transB && (r = 'value += _A(a) * _B(b);');
-                let a = d.length,
-                    l = e.length === 3 ? `int c[${e[2].dims.length}];` : '',
-                    p = e.length === 3 ? 'bcastIndices_C(indices, c);' : '',
-                    m = e.length === 3 ? 'value += beta * _C(c);' : '',
-                    y = `
-      float process(int indices[${a}]) {
-          int a[${a}];
-          int b[${a}];
-          ${l}
-
-          copyVec(indices, a);
-          copyVec(indices, b);
-          ${p}
-
-          float value = 0.0;
-          for (int k=0; k<${f}; ++k) {
-              a[${a - 1}] = k;
-              b[${a - 2}] = k;
-              ${r}
-          }
-
-          value = value * alpha;
-          ${m}
-          return value;
-      }`;
-                return {
-                    ...t,
-                    output: { dims: d, type: e[0].type, textureType: 0 },
-                    variables: [
-                        { name: 'alpha', type: 'float', data: o.alpha },
-                        { name: 'beta', type: 'float', data: o.beta },
-                    ],
-                    shaderSource: y,
-                };
-            }),
-            (Wm = (t, e) => {
-                if (!t) throw new Error('Input is missing');
-                if (e.isOptionalC && (t.length < 2 || t.length > 3)) throw new Error('Invaid input shape.');
-                if (!e.isOptionalC && t.length !== 3) throw new Error('Gemm requires 3 inputs');
-                if (t.length === 3 && t[2].dims.length !== 1 && t[2].dims.length !== 2)
-                    throw new Error('Invalid input shape of C');
-                if (
-                    (t[0].type !== 'float32' && t[0].type !== 'float64') ||
-                    (t[1].type !== 'float32' && t[1].type !== 'float64') ||
-                    (t.length === 3 && t[2].type !== 'float32' && t[2].type !== 'float64')
-                )
-                    throw new Error('Invalid input type.');
-                if (t[0].type !== t[1].type || (t.length === 3 && t[0].type !== t[2].type))
-                    throw new Error('Input types are mismatched');
-            });
-    }),
-    Sf,
-    Af,
-    Hm,
-    qm,
-    jm,
-    Ym,
-    Xm,
-    Pf = L(() => {
-        Ge(),
-            ae(),
-            (Sf = (t, e, o) => (Xm(e), [t.run(jm(t, e, o), e)])),
-            (Af = (t) => {
-                let e = t.attributes.getFloat('scale'),
-                    o = t.attributes.getFloats('bias');
-                return ee({ scale: e, bias: o });
-            }),
-            (Hm = { name: 'ImageScaler', inputNames: ['X'], inputTypes: [0] }),
-            (qm = (t, e, o, i) => {
-                let u = o[0].dims.slice(),
-                    n = u.length,
-                    s = `
-      ${Ym(i.bias.length)}
-      float process(int indices[${n}]) {
-        return _X(indices) * scale + getBias(bias, indices[1]);
-      }`;
-                return {
-                    ...e,
-                    output: { dims: u, type: o[0].type, textureType: 0 },
-                    variables: [
-                        { name: 'bias', type: 'float', arrayLength: i.bias.length, data: i.bias },
-                        { name: 'scale', type: 'float', data: i.scale },
-                    ],
-                    shaderSource: s,
-                };
-            }),
-            (jm = (t, e, o) => {
-                let i = { ...Hm, cacheHint: o.cacheKey };
-                return { ...i, get: () => qm(t, i, e, o) };
-            }),
-            (Ym = (t) => {
-                let e = [`float getBias(float bias[${t}], int channel) {`];
-                for (let o = 0; o < t; ++o)
-                    o === 0
-                        ? e.push(`	if (channel == ${o}) { return bias[${o}]; }`)
-                        : o === t - 1
-                        ? e.push(`	else { return bias[${o}]; }`)
-                        : e.push(`	else if (channel == ${o}) { return bias[${o}]; }`);
-                return (
-                    e.push('	}'),
-                    e.join(`
-`)
-                );
-            }),
-            (Xm = (t) => {
-                if (!t || t.length !== 1) throw new Error('ImageScaler requires 1 input.');
-                if (t[0].dims.length !== 4) throw new Error('Invalid input shape.');
-                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
-            });
-    }),
-    Df,
-    Lf,
-    Ef,
-    Km,
-    Jm,
-    Zm,
-    Qm,
-    eb,
-    tb,
-    Ff = L(() => {
-        xe(),
-            ae(),
-            (Df = (t, e, o) => {
-                tb(e);
-                let i = t.run(Jm(e[0]), e);
-                return [t.run(eb(t, e[0], o, i.dims), [e[0], i, e[1], e[2]])];
-            }),
-            (Lf = (t) => t.attributes.getFloat('epsilon', 1e-5)),
-            (Ef = { name: 'InstanceNormalization_MeanAndVariance', inputNames: ['X'], inputTypes: [0] }),
-            (Km = (t, e) => {
-                let o = e.dims.slice(),
-                    i = o[1],
-                    u = o[2] * o[3],
-                    n = [o[0], i],
-                    s = `
-      vec4 process(int[2] indices) {
-        vec4 v = vec4(0.0);
-        int a[4];
-        a[0] = indices[0];
-        a[1] = indices[1];
-        float temp = 0.0;
-        for(int a2=0; a2<${o[2]}; a2++) {
-          a[2] = a2;
-          for(int a3=0; a3<${o[3]}; a3++) {
-            a[3] = a3;
-            float x = _X(a);
-            temp += x;
-          }
-        }
-        float mean = temp / float(${u});
-        temp = 0.0;
-        for(int a2=0; a2<${o[2]}; a2++) {
-          a[2] = a2;
-          for(int a3=0; a3<${o[3]}; a3++) {
-            a[3] = a3;
-            float x = _X(a);
-            temp += (x - mean) * (x - mean);
-          }
-        }
-        v.r = mean;
-        v.g = temp / float(${u});
-
-        return v;
-      }`;
-                return { ...t, output: { dims: n, type: e.type, textureType: 4 }, shaderSource: s };
-            }),
-            (Jm = (t) => ({ ...Ef, get: () => Km(Ef, t) })),
-            (Zm = {
-                name: 'InstanceNormalization_ComputeOutput',
-                inputNames: ['X', 'MeanAndVariance', 'Scale', 'B'],
-                inputTypes: [0, 4, 0, 0],
-            }),
-            (Qm = (t, e, o, i, u) => {
-                let n = q(t.session.backend.glContext.version),
-                    [s, d] = t.calculateTextureWidthAndHeight(u, 4),
-                    [f, r] = [s / 4, d],
-                    a = `
-      vec4 get_MeanAndVariance(int[2] mv) {
-        int offset = indicesToOffset_MeanAndVariance(mv);
-        vec2 coords = offsetToCoords(offset, ${f}, ${r});
-        return ${n.texture2D}(MeanAndVariance, coords);
-      }
-
-      float process(int[4] indices) {
-        int mv[2];
-        mv[0] = indices[0];
-        mv[1] = indices[1];
-        vec4 mean_and_variance = get_MeanAndVariance(mv);
-        float mean = mean_and_variance.r;
-        float variance = mean_and_variance.g;
-
-        int sb[1];
-        sb[0] = indices[1];
-        float scale = _Scale(sb);
-        float b = _B(sb);
-
-        return scale * (_X(indices) - mean) / sqrt(variance + epsilon) + b;
-      }`;
-                return {
-                    ...e,
-                    output: { dims: o.dims, type: o.type, textureType: 0 },
-                    variables: [{ name: 'epsilon', type: 'float', data: i }],
-                    shaderSource: a,
-                };
-            }),
-            (eb = (t, e, o, i) => {
-                let u = { ...Zm, cacheHint: `${o}` };
-                return { ...u, get: () => Qm(t, u, e, o, i) };
-            }),
-            (tb = (t) => {
-                if (!t || t.length !== 3) throw new Error('InstanceNormalization requires 3 inputs.');
-                let e = t[0],
-                    o = t[1],
-                    i = t[2];
-                if (e.dims.length < 3 || o.dims.length !== 1 || i.dims.length !== 1)
-                    throw new Error('Invalid input shape.');
-                if (o.dims[0] !== e.dims[1] || i.dims[0] !== e.dims[1]) throw new Error('Input shapes are mismatched.');
-                if (
-                    (e.type !== 'float32' && e.type !== 'float64') ||
-                    (o.type !== 'float32' && o.type !== 'float64') ||
-                    (i.type !== 'float32' && i.type !== 'float64')
-                )
-                    throw new Error('Invalid input type.');
-                if (t[0].dims.length !== 4) throw new Error('Only support 4-D input shape.');
-            });
-    });
-function rb(t, e) {
-    let o = t[0].dims[1],
-        i = t[0].dims.length,
-        u = -Math.floor((e.size - 1) / 2),
-        n = Math.ceil((e.size - 1) / 2),
-        s = `float(${e.alpha}) / float(${e.size})`,
-        d = `float(${e.bias})`,
-        f = `float(${e.beta})`,
-        r = `
-    float process(int indices[${i}]) {
-        int c = indices[1];
-        float x = _X(indices);
-        float square_sum = 0.0;
-
-        for (int i = ${u}; i <= ${n}; i++) {
-          int idx = c + i;
-          if (c >= 0 && c < ${o}) {
-            indices[1] = idx;
-            float j = _X(indices);
-            square_sum += j * j;
-          }
-        }
-        return x / pow(${d} + ${s} * square_sum, ${f});
-    }`;
-    return {
-        ...kf,
-        cacheHint: e.cacheKey,
-        output: { dims: t[0].dims, type: t[0].type, textureType: 0 },
-        shaderSource: r,
-    };
-}
-function nb(t, e) {
-    return { ...kf, cacheHint: e.cacheKey, get: () => rb(t, e) };
-}
-var $f,
-    Cf,
-    kf,
-    ob,
-    Bf = L(() => {
-        Ge(),
-            ae(),
-            ($f = (t, e, o) => (ob(e), [t.run(nb(e, o), e)])),
-            (Cf = (t) => {
-                let e = t.attributes.getFloat('alpha', 1e-4),
-                    o = t.attributes.getFloat('beta', 0.75),
-                    i = t.attributes.getFloat('bias', 1),
-                    u = t.attributes.getInt('size');
-                return ee({ alpha: e, beta: o, bias: i, size: u });
-            }),
-            (kf = { name: 'LRN', inputNames: ['X'], inputTypes: [0] }),
-            (ob = (t) => {
-                if (!t || t.length !== 1) throw new Error('LRN requires 1 input.');
-                if (t[0].dims.length !== 4) throw new Error('currently only support LRN for input with "NCHW" format');
-                if (t[0].type !== 'float32') throw new Error('input should be float type');
-            });
-    }),
-    ib,
-    Bi,
-    Nf,
-    Rf,
-    Mf,
-    ab,
-    sb,
-    ub,
-    lb,
-    fb,
-    cb,
-    pb,
-    db,
-    Gf = L(() => {
-        Ge(),
-            fe(),
-            xe(),
-            ae(),
-            (ib = { name: 'Pad', inputNames: ['A'], inputTypes: [0] }),
-            (Bi = (t, e, o) => (ub(e), [t.run({ ...ib, cacheHint: o.cacheKey, get: () => sb(t, e[0], o) }, e)])),
-            (Nf = (t) => {
-                let e = t.attributes.getString('mode', 'constant'),
-                    o = t.attributes.getFloat('value', 0),
-                    i = t.attributes.getInts('pads');
-                return ee({ mode: e, value: o, pads: i });
-            }),
-            (Rf = (t, e, o) => {
-                lb(e);
-                let i = ab(t, e, o);
-                return Bi(t, [e[0]], i);
-            }),
-            (Mf = (t) => t.attributes.getString('mode', 'constant')),
-            (ab = (t, e, o) => {
-                if (!t.session.isInitializer(e[1].dataId) || (e.length >= 3 && !t.session.isInitializer(e[2].dataId)))
-                    throw new Error('dynamic pad attributes are not allowed');
-                let i = Array.from(e[1].integerData),
-                    u = e.length >= 3 ? e[2].floatData[0] : 0;
-                return ee({ mode: o, pads: i, value: u });
-            }),
-            (sb = (t, e, o) => {
-                let i = U.padShape(e.dims.slice(), o.pads),
-                    u = i.length,
-                    n = `
-      ${fb(t, e, o)}
-      float process(int[${u}] indices) {
-          return padA(indices);
-      }`;
-                return {
-                    name: 'Pad',
-                    inputNames: ['A'],
-                    inputTypes: [0],
-                    output: { dims: i, type: e.type, textureType: 0 },
-                    shaderSource: n,
-                };
-            }),
-            (ub = (t) => {
-                if (!t || t.length !== 1) throw new Error('Pad requires 1 input');
-                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
-            }),
-            (lb = (t) => {
-                if (!t || (t.length !== 2 && t.length !== 3)) throw new Error('Pad requires 2 or 3 inputs');
-                if (t[1].type !== 'int32') throw new Error('Invalid input type.');
-                if (t.length >= 3 && t[2].type === 'string') throw new Error('Invalid input type.');
-            }),
-            (fb = (t, e, o) => {
-                let i = q(t.session.backend.glContext.version),
-                    [u, n] = t.calculateTextureWidthAndHeight(e.dims, 0),
-                    s = U.computeStrides(e.dims);
-                switch (o.mode) {
-                    case 'constant':
-                        return cb(i, e.dims, s, u, n, o.pads, o.value);
-                    case 'reflect':
-                        return pb(i, e.dims, s, u, n, o.pads);
-                    case 'edge':
-                        return db(i, e.dims, s, u, n, o.pads);
-                    default:
-                        throw new Error('Invalid mode');
-                }
-            }),
-            (cb = (t, e, o, i, u, n, s) => {
-                let d = e.length,
-                    f = '';
-                for (let r = d - 1; r >= 0; --r)
-                    f += `
-        k = m[${r}] - ${n[r]};
-        if (k < 0)  return constant;
-        if (k >= ${e[r]}) return constant;
-        offset += k * ${o[r]};
-        `;
-                return `
-      float padA(int m[${d}]) {
-        const float constant = float(${s});
-        int offset = 0;
-        int k = 0;
-        ${f}
-        vec2 coords = offsetToCoords(offset, ${i}, ${u});
-        float value = getColorAsFloat(${t.texture2D}(A, coords));
-        return value;
-      }
-      `;
-            }),
-            (pb = (t, e, o, i, u, n) => {
-                let s = e.length,
-                    d = '';
-                for (let f = s - 1; f >= 0; --f)
-                    d += `
-        k = m[${f}] - ${n[f]};
-        if (k < 0) { k = -k; }
-        {
-          const int _2n_1 = ${2 * (e[f] - 1)};
-          k = int( mod( float(k), float(_2n_1) ) ) ;
-          if(k >= ${e[f]}) { k = _2n_1 - k; }
-        }
-        offset += k * ${o[f]};
-        `;
-                return `
-      float padA(int m[${s}]) {
-        int offset = 0;
-        int k = 0;
-        ${d}
-        vec2 coords = offsetToCoords(offset, ${i}, ${u});
-        float value = getColorAsFloat(${t.texture2D}(A, coords));
-        return value;
-      }
-      `;
-            }),
-            (db = (t, e, o, i, u, n) => {
-                let s = e.length,
-                    d = '';
-                for (let f = s - 1; f >= 0; --f)
-                    d += `
-        k = m[${f}] - ${n[f]};
-        if (k < 0)  k = 0;
-        if (k >= ${e[f]}) k = ${e[f] - 1};
-        offset += k * ${o[f]};
-      `;
-                return `
-      float padA(int m[${s}]) {
-        int offset = 0;
-        int k = 0;
-        ${d}
-        vec2 coords = offsetToCoords(offset, ${i}, ${u});
-        float value = getColorAsFloat(${t.texture2D}(A, coords));
-        return value;
-      }
-      `;
-            });
-    }),
-    zf,
-    Vf,
-    Wf,
-    Hf,
-    qf,
-    jf,
-    Yf,
-    Xf,
-    Kf,
-    hb,
-    Uf,
-    Jf,
-    uo,
-    Zf,
-    so,
-    mb,
-    Qf = L(() => {
-        Ge(),
-            fe(),
-            ae(),
-            (zf = (t, e, o) => {
-                uo(e);
-                let i = { name: 'AveragePool', inputNames: ['X'], inputTypes: [0], cacheHint: o.cacheKey };
-                return [t.run({ ...i, get: () => Wf(e, i, !1, o) }, e)];
-            }),
-            (Vf = (t) => {
-                let e = t.attributes.getString('auto_pad', 'NOTSET'),
-                    o = t.attributes.getInt('ceil_mode', 0),
-                    i = t.attributes.getInt('count_include_pad', 0) !== 0,
-                    u = t.attributes.getInts('kernel_shape'),
-                    n = t.attributes.getInts('strides', []),
-                    s = t.attributes.getInts('pads', []);
-                if (o !== 0) throw new Error('using ceil() in shape computation is not yet supported for AveragePool');
-                return ee({ autoPad: e, ceilMode: o, countIncludePad: i, kernelShape: u, strides: n, pads: s });
-            }),
-            (Wf = (t, e, o, i) => {
-                let [u, n] = Kf(t, i, o),
-                    s = U.size(u.kernelShape),
-                    d = 'value += _X(x);',
-                    f = '';
-                u.countIncludePad ? (f += `value /= float(${s});`) : (f += `value /= float(${s} - pad);`);
-                let r = `
-        ${Zf(t[0].dims, u, d, f, '0.0')}
-      `;
-                return { ...e, output: { dims: n, type: t[0].type, textureType: 0 }, shaderSource: r };
-            }),
-            (Hf = (t, e, o) => {
-                uo(e);
-                let i = {
-                    name: 'GlobalAveragePool',
-                    inputNames: ['X'],
-                    inputTypes: [0],
-                    cacheHint: `${o.countIncludePad}`,
-                };
-                return [t.run({ ...i, get: () => Wf(e, i, !0, o) }, e)];
-            }),
-            (qf = (t) => {
-                let e = t.attributes.getInt('count_include_pad', 0) !== 0;
-                return ee({ autoPad: '', ceilMode: 0, countIncludePad: e, kernelShape: [], strides: [], pads: [] });
-            }),
-            (jf = (t, e, o) => {
-                uo(e);
-                let i = { name: 'MaxPool', inputNames: ['X'], inputTypes: [0], cacheHint: o.cacheKey };
-                return [t.run({ ...i, get: () => Xf(e, i, !1, o) }, e)];
-            }),
-            (Yf = (t) => {
-                let e = t.attributes.getString('auto_pad', 'NOTSET'),
-                    o = t.attributes.getInt('ceil_mode', 0),
-                    i = t.attributes.getInts('kernel_shape'),
-                    u = t.attributes.getInts('strides', []),
-                    n = t.attributes.getInts('pads', []),
-                    s = t.attributes.getInt('storage_order', 0),
-                    d = t.attributes.getInts('dilations', []);
-                if (s !== 0) throw new Error('column major storage order is not yet supported for MaxPool');
-                if (o !== 0) throw new Error('using ceil() in shape computation is not yet supported for MaxPool');
-                return ee({
-                    autoPad: e,
-                    ceilMode: o,
-                    countIncludePad: !1,
-                    kernelShape: i,
-                    strides: u,
-                    pads: n,
-                    storageOrder: s,
-                    dilations: d,
-                });
-            }),
-            (Xf = (t, e, o, i) => {
-                let [u, n] = Kf(t, i, o),
-                    s = `
-      value = max(_X(x), value);
-    `,
-                    d = '',
-                    f = `
-      ${Zf(t[0].dims, u, s, d, '-1e5')}
-    `;
-                return { ...e, output: { dims: n, type: t[0].type, textureType: 0 }, shaderSource: f };
-            }),
-            (Kf = (t, e, o) => {
-                let i = t[0].dims.slice(),
-                    u = Object.hasOwnProperty.call(e, 'dilations'),
-                    n = e.kernelShape.slice(),
-                    s = e.strides.slice(),
-                    d = u ? e.dilations.slice() : [],
-                    f = e.pads.slice();
-                pr.adjustPoolAttributes(o, i, n, s, d, f);
-                let r = pr.computePoolOutputShape(o, i, s, d, n, f, e.autoPad),
-                    a = Object.assign({}, e);
-                return (
-                    u
-                        ? Object.assign(a, { kernelShape: n, strides: s, pads: f, dilations: d, cacheKey: e.cacheKey })
-                        : Object.assign(a, { kernelShape: n, strides: s, pads: f, cacheKey: e.cacheKey }),
-                    [a, r]
-                );
-            }),
-            (hb = {
-                autoPad: '',
-                ceilMode: 0,
-                countIncludePad: !1,
-                kernelShape: [],
-                strides: [],
-                pads: [],
-                storageOrder: 0,
-                dilations: [],
-                cacheKey: '',
-            }),
-            (Uf = { name: 'GlobalMaxPool', inputNames: ['X'], inputTypes: [0] }),
-            (Jf = (t, e) => (uo(e), [t.run({ ...Uf, get: () => Xf(e, Uf, !0, hb) }, e)])),
-            (uo = (t) => {
-                if (!t || t.length !== 1) throw new Error('Pool ops requires 1 input.');
-                if (t[0].type !== 'float32' && t[0].type !== 'float64') throw new Error('Invalid input type.');
-            }),
-            (Zf = (t, e, o, i, u) => {
-                let n = t.length;
-                if (e.kernelShape.length <= 2) {
-                    let s = e.kernelShape[e.kernelShape.length - 1],
-                        d = e.strides[e.strides.length - 1],
-                        f = e.pads[e.pads.length / 2 - 1],
-                        r = e.pads[e.pads.length - 1],
-                        a = t[n - 1],
-                        l = '',
-                        p = '',
-                        m = '';
-                    if (
-                        (f + r !== 0
-                            ? (l = `
-          for (int i = 0; i < ${s}; i++) {
-            x[${n} - 1] = indices[${n} - 1] * ${d} - ${f} + i;
-            if (x[${n} - 1] < 0 || x[${n} - 1] >= ${a}) {
-              pad++;
-              continue;
-            }
-            ${o}
-          }`)
-                            : (l = `
-          for (int i = 0; i < ${s}; i++) {
-            x[${n} - 1] = indices[${n} - 1] * ${d} - ${f} + i;
-            ${o}
-          }`),
-                        e.kernelShape.length === 2)
-                    ) {
-                        let y = e.kernelShape[e.kernelShape.length - 2],
-                            T = e.strides[e.strides.length - 2],
-                            v = e.pads[e.pads.length / 2 - 2],
-                            S = e.pads[e.pads.length - 2],
-                            E = t[n - 2];
-                        v + S !== 0
-                            ? (p = `
-            for (int j = 0; j < ${y}; j++) {
-              x[${n} - 2] = indices[${n} - 2] * ${T} - ${v} + j;
-              if (x[${n} - 2] < 0 || x[${n} - 2] >= ${E}) {
-                pad+= ${s};
-                continue;
-              }
-          `)
-                            : (p = `
-            for (int j = 0; j < ${y}; j++) {
-              x[${n} - 2] = indices[${n} - 2] * ${T} - ${v} + j;
-            `),
-                            (m = `
-          }
-        `);
-                    }
-                    return `
-        float process(int indices[${n}]) {
-          int x[${n}];
-          copyVec(indices, x);
-
-          float value = ${u};
-          int pad = 0;
-          ${p}
-          ${l}
-          ${m}
-          ${i}
-          return value;
-        }
-      `;
-                } else {
-                    let s = U.size(e.kernelShape),
-                        d = U.computeStrides(e.kernelShape),
-                        f = d.length,
-                        r = e.pads.length,
-                        a = mb(f),
-                        l = so(t, 'inputDims'),
-                        p = so(e.pads, 'pads'),
-                        m = so(d, 'kernelStrides'),
-                        y = so(e.strides, 'strides'),
-                        T = e.pads.reduce((S, E) => S + E),
-                        v = '';
-                    return (
-                        T
-                            ? (v = `
-            if (x[j] >= inputDims[j] || x[j] < 0) {
-              pad++;
-              isPad = true;
-              break;
-            }
-          }
-          if (!isPad) {
-            ${o}
-          }`)
-                            : (v = `
-          }
-          ${o}
-        `),
-                        `
-        ${a}
-        float process(int indices[${n}]) {
-          int x[${n}];
-          copyVec(indices, x);
-          int offset[${f}];
-          int pads[${r}];
-          int inputDims[${n}];
-          int kernelStrides[${f}];
-          int strides[${f}];
-          ${p}
-          ${l}
-          ${y}
-          ${m}
-
-          float value = ${u};
-          int pad = 0;
-          bool isPad = false;
-          for (int i = 0; i < ${s}; i++) {
-            offsetToIndices(i, kernelStrides, offset);
-            isPad = false;
-            for (int j = ${n} - ${f}; j < ${n}; j++) {
-              x[j] = indices[j] * strides[j - ${n} + ${f}]
-                + offset[j - ${n} + ${f}] - pads[j - 2];
-              ${v}
-          }
-          ${i}
-
-          return value;
-        }
-      `
-                    );
-                }
-            }),
-            (so = (t, e) => {
-                let o = '';
-                for (let i = 0; i < t.length; i++)
-                    o += `
-      ${e}[${i}] = ${t[i]};
-    `;
-                return o;
-            }),
-            (mb = (t) => `
-  void offsetToIndices(int offset, int[${t}] strides, out int[${t}] indices) {
-    if (${t} == 0) {
-      return;
-    }
-    for (int i = 0; i < ${t} - 1; ++i) {
-      indices[i] = offset / strides[i];
-      offset -= indices[i] * strides[i];
-    }
-    indices[${t} - 1] = offset;
-  }`);
-    }),
-    Tr,
-    Zt,
-    bb,
-    gb,
-    ec,
-    tc,
-    rc,
-    nc,
-    oc,
-    ic,
-    ac,
-    sc = L(() => {
-        Ge(),
-            pn(),
-            fe(),
-            ae(),
-            (Tr = (t, e, o, i, u) => {
-                gb(e);
-                let n = { name: i, inputNames: ['A'], inputTypes: [0] };
-                return [t.run({ ...n, cacheHint: o.cacheKey, get: () => bb(t, e, o, i, u, n) }, e)];
-            }),
-            (Zt = (t) => {
-                let e = t.attributes.getInts('axes', []),
-                    o = t.attributes.getInt('keepdims', 1) === 1;
-                return ee({ axes: e, keepDims: o });
-            }),
-            (bb = (t, e, o, i, u, n) => {
-                let s = [],
-                    d = e[0].dims.length || 1,
-                    f = [],
-                    r = U.normalizeAxes(o.axes, e[0].dims.length),
-                    a = u(e, r),
-                    l = a[1];
-                for (let m = 0; m < e[0].dims.length; m++)
-                    r.indexOf(m) >= 0 || r.length === 0
-                        ? (o.keepDims && s.push(1),
-                          (l = `
-          for(int j${m} = 0; j${m} < ${e[0].dims[m]}; j${m}++) {
-            inputIdx[${m}] = j${m};
-            ${l}
-          }`))
-                        : (f.push(`inputIdx[${m}] = outputIdx[${s.length}];`), s.push(e[0].dims[m]));
-                let p = `
-      float process(int outputIdx[${s.length || 1}]) {
-        float value;                 // final result
-        int inputIdx[${d}];      // addressing input data
-        ${f.join(`
-`)}
-        ${a[0]}       // init ops for reduce max/min
-        ${l}
-        ${a[2]}       // final computation for reduce mean
-        return value;
-      }`;
-                return { ...n, output: { dims: s, type: e[0].type, textureType: 0 }, shaderSource: p };
-            }),
-            (gb = (t) => {
-                if (!t || t.length !== 1) throw new Error('Reduce op requires 1 input.');
-                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invalid input type.');
-            }),
-            (ec = (t, e, o) => Tr(t, e, o, 'ReduceSum', () => ['value = 0.0;', 'value += _A(inputIdx);', ''])),
-            (tc = (t, e, o) =>
-                Tr(t, e, o, 'ReduceMean', (i, u) => {
-                    let n = 1;
-                    for (let s = 0; s < i[0].dims.length; s++)
-                        (u.indexOf(s) >= 0 || u.length === 0) && (n *= i[0].dims[s]);
-                    return ['value = 0.0;', 'value += _A(inputIdx);', `value /= ${n}.;`];
-                })),
-            (rc = (t, e, o) =>
-                Tr(t, e, o, 'ReduceMax', (i, u) => {
-                    let n = [];
-                    for (let s = 0; s < i[0].dims.length; s++)
-                        (u.indexOf(s) >= 0 || u.length === 0) && n.push(`inputIdx[${s}] = 0;`);
-                    return [
-                        `${n.join(`
-`)}
-value = _A(inputIdx);`,
-                        'value = max(value, _A(inputIdx));',
-                        '',
-                    ];
-                })),
-            (nc = (t, e, o) =>
-                Tr(t, e, o, 'ReduceMin', (i, u) => {
-                    let n = [];
-                    for (let s = 0; s < i[0].dims.length; s++)
-                        (u.indexOf(s) >= 0 || u.length === 0) && n.push(`inputIdx[${s}] = 0;`);
-                    return [
-                        `${n.join(`
-`)}
-value = _A(inputIdx);`,
-                        'value = min(value, _A(inputIdx));',
-                        '',
-                    ];
-                })),
-            (oc = (t, e, o) => Tr(t, e, o, 'ReduceProd', () => ['value = 1.0;', 'value *= _A(inputIdx);', ''])),
-            (ic = (t, e, o) =>
-                Tr(t, e, o, 'ReduceLogSum', () => ['value = 0.0;', 'value += _A(inputIdx);', 'value = log(value);'])),
-            (ac = (t, e, o) =>
-                Tr(t, e, o, 'ReduceLogSumSquare', () => [
-                    'float t; value = 0.0;',
-                    't = _A(inputIdx); value += t * t;',
-                    '',
-                ]));
-    }),
-    uc,
-    lc = L(() => {
-        fe(),
-            (uc = (t, e) => {
-                let o = U.calculateReshapedDims(e[0].dims, e[1].integerData);
-                return t.session.pack ? [t.reshapePacked(e[0], o)] : [t.reshapeUnpacked(e[0], o)];
-            });
-    }),
-    fc,
-    Ni,
-    cc,
-    pc,
-    dn,
-    yb,
-    Ri,
-    lo,
-    Mi = L(() => {
-        Ge(),
-            xe(),
-            ae(),
-            (fc = { name: 'Upsample', inputNames: ['X'], inputTypes: [0] }),
-            (Ni = (t, e, o) => (Ri(e, o), [t.run({ ...fc, cacheHint: o.cacheKey, get: () => yb(t, e, o) }, e)])),
-            (cc = (t) => dn(t, 7)),
-            (pc = (t) => dn(t, 9)),
-            (dn = (t, e) => {
-                let o = e >= 10,
-                    i = t.attributes.getString('mode', 'nearest');
-                if (i !== 'nearest' && i !== 'linear' && (e < 11 || i !== 'cubic'))
-                    throw new Error(`unrecognized mode: ${i}`);
-                let u = [];
-                e < 9 && ((u = t.attributes.getFloats('scales')), lo(u, i, o));
-                let n = t.attributes.getFloat('extrapolation_value', 0),
-                    s = e > 10 ? t.attributes.getString('coordinate_transformation_mode', 'half_pixel') : 'asymmetric';
-                if (
-                    [
-                        'asymmetric',
-                        'pytorch_half_pixel',
-                        'tf_half_pixel_for_nn',
-                        'align_corners',
-                        'tf_crop_and_resize',
-                        'half_pixel',
-                    ].indexOf(s) === -1
-                )
-                    throw new Error(`coordinate_transform_mode '${s}' is not supported`);
-                let d = s === 'tf_crop_and_resize',
-                    f = d,
-                    r = i === 'nearest' && e >= 11 ? t.attributes.getString('nearest_mode', 'round_prefer_floor') : '';
-                if (['round_prefer_floor', 'round_prefer_ceil', 'floor', 'ceil', ''].indexOf(r) === -1)
-                    throw new Error(`nearest_mode '${r}' is not supported`);
-                let a = t.attributes.getFloat('cubic_coeff_a', -0.75),
-                    l = t.attributes.getInt('exclude_outside', 0) !== 0;
-                if (l && i !== 'cubic') throw new Error('exclude_outside can be set to 1 only when mode is CUBIC.');
-                let p = e < 11 ? !0 : i === 'nearest' && s === 'asymmetric' && r === 'floor',
-                    m = 0,
-                    y = 0,
-                    T = 0;
-                return (
-                    e > 10
-                        ? t.inputs.length > 2
-                            ? ((m = 1), (y = 2), (T = 3))
-                            : ((y = 1), (T = 2))
-                        : e === 9 && (y = 1),
-                    ee({
-                        opset: e,
-                        isResize: o,
-                        mode: i,
-                        scales: u,
-                        extrapolationValue: n,
-                        coordinateTransformMode: s,
-                        useExtrapolation: f,
-                        needRoiInput: d,
-                        nearestMode: r,
-                        cubicCoefficientA: a,
-                        excludeOutside: l,
-                        useNearest2xOptimization: p,
-                        roiInputIdx: m,
-                        scalesInputIdx: y,
-                        sizesInputIdx: T,
-                    })
-                );
-            }),
-            (yb = (t, e, o) => {
-                let i = q(t.session.backend.glContext.version),
-                    [u, n] = t.calculateTextureWidthAndHeight(e[0].dims, 0),
-                    s = e[0].dims.map((T, v) => Math.floor(T * o.scales[v])),
-                    [d, f] = t.calculateTextureWidthAndHeight(s, 0),
-                    r = s.length,
-                    a = new Array(r),
-                    l = new Array(r),
-                    p = `
-      int output_pitches[${r}];
-      int input_pitches[${r}];
-      `;
-                for (let T = r - 1; T >= 0; T--)
-                    (a[T] = T === r - 1 ? 1 : a[T + 1] * s[T + 1]),
-                        (l[T] = T === r - 1 ? 1 : l[T + 1] * e[0].dims[T + 1]),
-                        (p += `
-        output_pitches[${T}] = ${a[T]};
-        input_pitches[${T}] = ${l[T]};
-        `);
-                let m = `
-      float getInputFloat(int index) {
-        vec2 coords = offsetToCoords(index, ${u}, ${n});
-        float value = getColorAsFloat(${i.texture2D}(X, coords));
-        return value;
-      }
-      `,
-                    y =
-                        o.mode === 'nearest'
-                            ? `
-    ${m}
-    float process(int indices[${r}]) {
-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${d}, ${f});
-
-      ${p}
-
-      int d, m;
-      for (int dim = 0; dim < ${r}; ++dim) {
-        d = output_index / output_pitches[dim];
-        m = output_index - d * output_pitches[dim];
-        output_index = m;
-
-        if (scales[dim] != 1 && d > 0) {
-          int d2 = d / scales[dim];
-          m = d - d2 * scales[dim];
-          d = d2;
-        }
-        input_index += input_pitches[dim] * d;
-      }
-
-      return getInputFloat(input_index);
-    }`
-                            : r === 4
-                            ? `
-    ${m}
-    float process(int indices[4]) {
-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${d}, ${f});
-
-      ${p}
-
-      int m;
-      int index_of_dim0, index_of_dim1, index_of_dim2, index_of_dim3;
-      index_of_dim0 = output_index / output_pitches[0];
-      m = output_index - index_of_dim0 * output_pitches[0];
-      index_of_dim1 = m / output_pitches[1];
-      m = m - index_of_dim1 * output_pitches[1];
-      index_of_dim2 = m / output_pitches[2];
-      m = m - index_of_dim2 * output_pitches[2];
-      index_of_dim3 = m;
-
-      int index_of_input_dim2, index_of_input_dim3, x_offset, y_offset;
-      index_of_input_dim2 = index_of_dim2 / scales[2];
-      y_offset = index_of_dim2 - index_of_input_dim2 * scales[2];
-      index_of_input_dim3 = index_of_dim3 / scales[3];
-      x_offset = index_of_dim3 - index_of_input_dim3 * scales[3];
-
-      input_index = index_of_dim0 * input_pitches[0] +
-            index_of_dim1 * input_pitches[1] +
-            index_of_input_dim2 * input_pitches[2] +
-            index_of_input_dim3;
-
-      float x00 = getInputFloat(input_index);
-      float x10, x01, x11;
-
-      bool end_of_dim2 = false;
-      if (index_of_input_dim2 == (${e[0].dims[2]} - 1)) {
-        // It's the end in dimension 2
-        x01 = x00;
-        end_of_dim2 = true;
-      } else {
-        x01 = getInputFloat(input_index + input_pitches[2]);
-      }
-
-      if (index_of_input_dim3 == (input_pitches[2] - 1)) {
-        // It's the end in dimension 3
-        x10 = x00;
-        x11 = x01;
-      }
-      else {
-        x10 = getInputFloat(input_index + 1);
-        x11 = end_of_dim2 ? x10 : getInputFloat(input_index + input_pitches[2] + 1);
-      }
-
-      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[2]);
-      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[2]);
-      return y0 + float(x_offset) * (y1 - y0) / float(scales[3]);
-    }`
-                            : `
-    ${m}
-    float process(int indices[2]) {
-      int input_index = 0;
-      int output_index = coordsToOffset(TexCoords, ${d}, ${f});
-
-      ${p}
-
-      int m;
-      int index_of_dim0, index_of_dim1;
-      index_of_dim0 = output_index / output_pitches[0];
-      m = output_index - index_of_dim0 * output_pitches[0];
-      index_of_dim1 = m;
-
-      int index_of_input_dim0, index_of_input_dim1, x_offset, y_offset;
-      index_of_input_dim0 = index_of_dim0 / scales[0];
-      y_offset = index_of_dim0 - index_of_input_dim0 * scales[0];
-      index_of_input_dim1 = index_of_dim1 / scales[1];
-      x_offset = index_of_dim1 - index_of_input_dim1 * scales[1];
-
-      input_index = index_of_input_dim0 * input_pitches[0] + index_of_input_dim1;
-
-      float x00 = getInputFloat(input_index);
-      float x10, x01, x11;
-
-      bool end_of_dim0 = false;
-      if (index_of_input_dim0 == (${e[0].dims[0]} - 1)) {
-        // It's the end in dimension 0
-        x01 = x00;
-        end_of_dim0 = true;
-      } else {
-        x01 = getInputFloat(input_index + input_pitches[0]);
-      }
-
-      if (index_of_input_dim1 == (input_pitches[0] - 1)) {
-        // It's the end in dimension 1
-        x10 = x00;
-        x11 = x01;
-      }
-      else {
-        x10 = getInputFloat(input_index + 1);
-        x11 = end_of_dim0 ? x10 : getInputFloat(input_index + input_pitches[0] + 1);
-      }
-
-      float y0 = x00 + float(y_offset) * (x01 - x00) / float(scales[0]);
-      float y1 = x10 + float(y_offset) * (x11 - x10) / float(scales[0]);
-      return y0 + float(x_offset) * (y1 - y0) / float(scales[1]);
-    }`;
-                return {
-                    ...fc,
-                    output: { dims: s, type: e[0].type, textureType: 0 },
-                    shaderSource: y,
-                    variables: [
-                        {
-                            name: 'scales',
-                            type: 'int',
-                            arrayLength: o.scales.length,
-                            data: o.scales.map((T) => Math.ceil(T)),
-                        },
-                    ],
-                };
-            }),
-            (Ri = (t, e) => {
-                if (
-                    !t ||
-                    (e.opset < 9 && t.length !== 1) ||
-                    (e.opset >= 9 && e.opset < 11 && t.length !== 2) ||
-                    (e.opset >= 11 && t.length < 2)
-                )
-                    throw new Error('invalid inputs.');
-                if (e.scales.length > 0 && t[0].dims.length !== e.scales.length)
-                    throw new Error('Invalid input shape.');
-                if (t[0].type === 'string') throw new Error('Invalid input tensor types.');
-            }),
-            (lo = (t, e, o) => {
-                if (o) {
-                    for (let i of t) if (i <= 0) throw new Error('Scale value should be greater than 0.');
-                } else for (let i of t) if (i < 1) throw new Error('Scale value should be greater than or equal to 1.');
-                if ((e === 'linear' || e === 'cubic') && t.length !== 2 && (t.length !== 4 || t[0] !== 1 || t[1] !== 1))
-                    throw new Error(
-                        `'Linear' mode and 'Cubic' mode only support 2-D inputs ('Bilinear', 'Bicubic')         or 4-D inputs with the corresponding outermost 2 scale values being 1         in the ${
-                            o ? 'Resize' : 'Upsample'
-                        } opeartor.`
-                    );
-            });
-    }),
-    Gi,
-    Ui,
-    dc,
-    hc,
-    Tb,
-    xb,
-    vb,
-    wb,
-    mc = L(() => {
-        xe(),
-            ae(),
-            Ft(),
-            br(),
-            Mi(),
-            (Gi = { name: 'Resize', inputNames: ['A'], inputTypes: [2] }),
-            (Ui = (t, e, o) => (Ri(e, o), [t.run({ ...Gi, cacheHint: o.cacheKey, get: () => Tb(t, e, o) }, e)])),
-            (dc = (t) => dn(t, 10)),
-            (hc = (t) => dn(t, 11)),
-            (Tb = (t, e, o) => {
-                let i = q(t.session.backend.glContext.version),
-                    [u, n] = xb(e, o);
-                if (u.every((E) => E === 1) && o.coordinateTransformMode !== 'tf_crop_and_resize')
-                    return {
-                        ...Gi,
-                        output: { dims: n, type: e[0].type, textureType: 2 },
-                        hasMain: !0,
-                        shaderSource: `void main() {
-                    vec4 v = ${i.texture2D}(X, TexCoords);
-                    ${i.output} = v;
-                }`,
-                    };
-                let s = n.length;
-                if (s < 2) throw new Error(`output dimension should be at least 2, but got ${s}`);
-                let d = n[s - 2],
-                    f = n[s - 1],
-                    r = e[0].dims;
-                if (s !== r.length) throw new Error(`output dimension should match input ${r.length}, but got ${s}`);
-                let a = r[s - 2],
-                    l = r[s - 1],
-                    p = u[s - 2],
-                    m = u[s - 1],
-                    y = '';
-                if (o.mode !== 'linear') throw new Error(`resize (packed) does not support mode: '${o.mode}'`);
-                switch (o.coordinateTransformMode) {
-                    case 'asymmetric':
-                        y = `
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        return vec4(coords) / scaleWHWH;
-                    }
-                `;
-                        break;
-                    case 'half_pixel':
-                        y = `
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        return (vec4(coords) + 0.5) / scaleWHWH - 0.5;
-                    }
-                `;
-                        break;
-                    case 'pytorch_half_pixel':
-                        y = `
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        vec4 fcoords = vec4(coords);
-                        return vec4(
-                            ${f}.0 > 1.0 ? (fcoords.x + 0.5) / scaleWHWH.x - 0.5 : 0.0,
-                            ${d}.0 > 1.0 ? (fcoords.y + 0.5) / scaleWHWH.y - 0.5 : 0.0,
-                            ${f}.0 > 1.0 ? (fcoords.z + 0.5) / scaleWHWH.z - 0.5 : 0.0,
-                            ${d}.0 > 1.0 ? (fcoords.w + 0.5) / scaleWHWH.w - 0.5 : 0.0
-                          );
-                    }
-                `;
-                        break;
-                    case 'align_corners':
-                        y = `
-                    vec4 getSourceFracIndex(ivec4 coords) {
-                        vec4 resized = vec4(${f}.0 - 1.0, ${d}.0 - 1.0, ${f}.0 - 1.0,
-                            ${d}.0 - 1.0);
-                        vec4 original = vec4(${l}.0 - 1.0, ${a}.0 - 1.0, ${l}.0 - 1.0,
-                            ${a}.0 - 1.0);
-                        vec4 new_scale = original / resized;
-                        return vec4(coords) * new_scale;
-                    }
-                `;
-                        break;
-                    default:
-                        throw new Error(
-                            `resize (packed) does not support coordinateTransformMode:                                 '${o.coordinateTransformMode}'`
-                        );
-                }
-                let T = Ke(s),
-                    v = $t(),
-                    S = `
-            const vec2 inputWH = vec2(${a}.0, ${l}.0);
-            const vec4 scaleWHWH = vec4(float(${p}), float(${m}), float(${p}), float(${m}));
-            ${v}
-            ${y}
-            float getAValue(int x10, int r, int c, int d) {
-                return getChannel(getA(x10, r, c, d), vec2(c, d));
-            }
-            void main() {
-                ${T} rc = getOutputCoords();
-
-                int batch = rc[0];
-                int depth = rc[1];
-
-                // retrieve the 4 coordinates that is used in the 4 packed output values.
-                ivec4 coords = ivec4(rc.wz, rc.w + 1, rc.z + 1);
-
-                // calculate the source index in fraction
-                vec4 sourceFrac = getSourceFracIndex(coords);
-
-                // get the lower and upper bound of the 4 values that will be packed into one texel.
-                ivec4 x00 = ivec4(max(sourceFrac.xy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xy)));
-                ivec4 x01 = ivec4(max(sourceFrac.xw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.xw)));
-                ivec4 x10 = ivec4(max(sourceFrac.zy, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zy)));
-                ivec4 x11 = ivec4(max(sourceFrac.zw, vec2(0.0)), min(inputWH - 1.0, ceil(sourceFrac.zw)));
-
-                bool hasNextRow = rc.w < ${d - 1};
-                bool hasNextCol = rc.z < ${f - 1};
-
-                // pack x00, x01, x10, x11's top-left corner into one vec4 structure
-                vec4 topLeft = vec4(
-                    getAValue(batch, depth, x00.x, x00.y),
-                    hasNextCol ? getAValue(batch, depth, x01.x, x01.y) : 0.0,
-                    hasNextRow ? getAValue(batch, depth, x10.x, x10.y) : 0.0,
-                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.y) : 0.0);
-
-                // pack x00, x01, x10, x11's top-right corner into one vec4 structure
-                vec4 topRight = vec4(
-                    getAValue(batch, depth, x00.x, x00.w),
-                    hasNextCol ? getAValue(batch, depth, x01.x, x01.w) : 0.0,
-                    hasNextRow ? getAValue(batch, depth, x10.x, x10.w) : 0.0,
-                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.x, x11.w) : 0.0);
-
-                // pack x00, x01, x10, x11's bottom-left corner into one vec4 structure
-                vec4 bottomLeft = vec4(
-                    getAValue(batch, depth, x00.z, x00.y),
-                    hasNextCol ? getAValue(batch, depth, x01.z, x01.y) : 0.0,
-                    hasNextRow ? getAValue(batch, depth, x10.z, x10.y) : 0.0,
-                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.y) : 0.0);
-
-                // pack x00, x01, x10, x11's bottom-right corner into one vec4 structure
-                vec4 bottomRight = vec4(
-                    getAValue(batch, depth, x00.z, x00.w),
-                    hasNextCol ? getAValue(batch, depth, x01.z, x01.w) : 0.0,
-                    hasNextRow ? getAValue(batch, depth, x10.z, x10.w) : 0.0,
-                    (hasNextRow && hasNextCol) ? getAValue(batch, depth, x11.z, x11.w) : 0.0);
-
-                // calculate the interpolation fraction on u and v direction
-                vec4 frac = vec4(sourceFrac) - floor(sourceFrac);
-                vec4 clampFrac = clamp(frac, vec4(0.0), vec4(1.0));
-
-                vec4 top = mix(topLeft, topRight, clampFrac.ywyw);
-                vec4 bottom = mix(bottomLeft, bottomRight, clampFrac.ywyw);
-                vec4 newValue = mix(top, bottom, clampFrac.xxzz);
-
-                ${i.output} = vec4(newValue);
-            }
-        `;
-                return { ...Gi, output: { dims: n, type: e[0].type, textureType: 2 }, hasMain: !0, shaderSource: S };
-            }),
-            (xb = (t, e) => {
-                let o = t[0].dims,
-                    i = e.scales,
-                    u;
-                if (i.length === 0) {
-                    let s = t[e.scalesInputIdx];
-                    if (s && s.size !== 0) {
-                        if (t[e.sizesInputIdx])
-                            throw new Error('Only one of scales or sizes must be provided as input.');
-                        i = vb(s, e.mode, e.isResize);
-                    } else {
-                        let d = t[e.sizesInputIdx];
-                        if (!d || d.size === 0) throw new Error('Either scales or sizes MUST be provided as input.');
-                        (u = Array.from(d.integerData)), (i = wb(u, o, e.mode, e.isResize));
-                    }
-                } else if (t[e.sizesInputIdx])
-                    throw new Error('Only one of scales or sizes must be provided as input.');
-                let n = u || o.map((s, d) => Math.floor(s * i[d]));
-                return [i, n];
-            }),
-            (vb = (t, e, o) => {
-                let i = Array.from(t.floatData);
-                return lo(i, e, o), i;
-            }),
-            (wb = (t, e, o, i) => {
-                let u = e.length,
-                    n = new Array(u);
-                for (let s = 0, d = u; s < d; s++)
-                    if (e[s] === 0) {
-                        if (t[s] !== 0) throw new Error('Input dim is zero but required output dim is non-zero.');
-                        n[s] = 1;
-                    } else n[s] = t[s] / e[s];
-                return lo(n, o, i), n;
-            });
-    }),
-    bc,
-    _b,
-    gc = L(() => {
-        mr(),
-            (bc = (t, e) => (_b(e), [new Fe([e[0].dims.length], 'int32', void 0, void 0, new Int32Array(e[0].dims))])),
-            (_b = (t) => {
-                if (!t || t.length !== 1) throw new Error('Shape requires 1 input.');
-            });
-    }),
-    zi,
-    yc,
-    Tc,
-    xc,
-    Ob,
-    vc,
-    Ib,
-    Sb,
-    wc = L(() => {
-        Ge(),
-            pn(),
-            fe(),
-            ae(),
-            (zi = { name: 'Slice', inputNames: ['A'], inputTypes: [0] }),
-            (yc = (t, e, o) => (Ob(e), [t.run({ ...zi, cacheHint: o.cacheKey, get: () => xc(t, e[0], o) }, e)])),
-            (Tc = (t) => {
-                let e = t.attributes.getInts('starts'),
-                    o = t.attributes.getInts('ends'),
-                    i = t.attributes.getInts('axes', []);
-                return ee({ starts: e, ends: o, axes: i });
-            }),
-            (xc = (t, e, o) => {
-                let i = o.axes.length === 0 ? e.dims.slice(0).map((a, l) => l) : o.axes,
-                    u = U.normalizeAxes(i, e.dims.length),
-                    n = o.starts.map((a, l) =>
-                        a > e.dims[u[l]] - 1 ? e.dims[u[l]] : U.normalizeAxis(a, e.dims[u[l]])
-                    ),
-                    s = o.ends.map((a, l) => (a > e.dims[u[l]] - 1 ? e.dims[u[l]] : U.normalizeAxis(a, e.dims[u[l]]))),
-                    d = e.dims.slice(),
-                    f = [];
-                for (let a = 0; a < u.length; a++)
-                    (d[u[a]] = s[a] - n[a]), n[a] > 0 && f.push(`outputIdx[${u[a]}] += ${n[a]};`);
-                let r = `
-      float process(int outputIdx[${d.length}]) {
-        ${f.join(`
-      `)}
-        return _A(outputIdx);
-      }`;
-                return { ...zi, output: { dims: d, type: e.type, textureType: 0 }, shaderSource: r };
-            }),
-            (Ob = (t) => {
-                if (!t || t.length !== 1) throw new Error('Slice requires 1 input.');
-                if (Jt.indexOf(t[0].type) === -1) throw new Error('Invalid input type.');
-            }),
-            (vc = (t, e) => {
-                Sb(e);
-                let o = Ib(t, e);
-                return [t.run({ ...zi, cacheHint: o.cacheKey, get: () => xc(t, e[0], o) }, [e[0]])];
-            }),
-            (Ib = (t, e) => {
-                if (
-                    !t.session.isInitializer(e[1].dataId) ||
-                    !t.session.isInitializer(e[2].dataId) ||
-                    (e.length >= 4 && !t.session.isInitializer(e[3].dataId)) ||
-                    (e.length >= 5 && !t.session.isInitializer(e[4].dataId))
-                )
-                    throw new Error('dynamic slice attributes are not allowed');
-                if (e.length >= 5 && e[4].integerData.some((s) => s !== 1))
-                    throw new Error('currently non-1 steps is not supported for Slice');
-                let o = Array.from(e[1].integerData),
-                    i = Array.from(e[2].integerData),
-                    u = e.length >= 4 ? Array.from(e[3].integerData) : [],
-                    n = `${u};${o};${i}`;
-                return { starts: o, ends: i, axes: u, cacheKey: n };
-            }),
-            (Sb = (t) => {
-                if (!t || t.length < 3 || t.length > 5) throw new Error('Invalid input number.');
-                if (t[1].type !== 'int32' || t[1].dims.length !== 1) throw new Error('Invalid input type.');
-                if (t[2].type !== 'int32' || t[2].dims.length !== 1) throw new Error('Invalid input type.');
-                if (t.length >= 4 && (t[3].type !== 'int32' || t[3].dims.length !== 1))
-                    throw new Error('Invalid input type.');
-                if (t.length >= 5 && (t[4].type !== 'int32' || t[4].dims.length !== 1))
-                    throw new Error('Invalid input type.');
-            });
-    }),
-    _c,
-    Oc,
-    Ic,
-    Sc,
-    Ac,
-    Pc,
-    Ec,
-    Dc,
-    Ab,
-    Pb,
-    Eb,
-    Lc,
-    Fc = L(() => {
-        Ge(),
-            fe(),
-            xe(),
-            ae(),
-            ao(),
-            (_c = { name: 'SoftmaxComputeMax', inputNames: ['A'], inputTypes: [0] }),
-            (Oc = { name: 'SoftmaxComputeScale', inputNames: ['A', 'Max'], inputTypes: [0, 0] }),
-            (Ic = { name: 'SoftMax', inputNames: ['A', 'Max', 'Norm'], inputTypes: [0, 0, 0] }),
-            (Sc = (t, e, o) => {
-                Lc(e);
-                let i = e[0].dims.slice(),
-                    u = U.normalizeAxis(o.axis, i.length),
-                    n = U.sizeToDimension(i, u),
-                    s = U.sizeFromDimension(i, u);
-                return Dc(t, e, o, n, s);
-            }),
-            (Ac = (t) => ee({ axis: t.attributes.getInt('axis', 1) })),
-            (Pc = (t) => ee({ axis: t.attributes.getInt('axis', -1) })),
-            (Ec = (t, e, o) => {
-                Lc(e);
-                let i = e[0].dims.slice(),
-                    u = U.normalizeAxis(o.axis, i.length),
-                    n = i.length,
-                    s = u !== n - 1,
-                    d = [],
-                    f = [],
-                    r = [],
-                    a;
-                s &&
-                    ((f = Array.from({ length: n }).map((y, T) => T)),
-                    (f[u] = n - 1),
-                    (f[n - 1] = u),
-                    f.map((y) => d.push(i[y])),
-                    (a = ee({ perm: f })),
-                    (r = yr(t, e, a)));
-                let l = s ? U.sizeToDimension(d, n - 1) : U.sizeToDimension(i, n - 1),
-                    p = s ? U.sizeFromDimension(d, n - 1) : U.sizeFromDimension(i, n - 1),
-                    m = Dc(t, s ? r : e, o, l, p);
-                return s ? yr(t, m, a) : m;
-            }),
-            (Dc = (t, e, o, i, u) => {
-                let n = Ab(t, e[0], i, u, [i]),
-                    s = t.run({ ..._c, cacheHint: o.cacheKey, get: () => n }, e),
-                    d = Pb(t, e[0], i, u, n.output.dims, [i]),
-                    f = t.run({ ...Oc, cacheHint: o.cacheKey, get: () => d }, [e[0], s]),
-                    r = Eb(t, e[0], i, u, n.output.dims, d.output.dims);
-                return [t.run({ ...Ic, cacheHint: o.cacheKey, get: () => r }, [e[0], s, f])];
-            }),
-            (Ab = (t, e, o, i, u) => {
-                let [n, s] = t.calculateTextureWidthAndHeight(e.dims, 0),
-                    d = u.length;
-                if (o < 1 || i < 1)
-                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
-                if (u.length !== 1) throw new Error('Dimensionality of the output should be 1');
-                if (u[0] !== o) throw new Error('Shape of the output should be equal to logical row count');
-                let f = q(t.session.backend.glContext.version),
-                    r = `
-      float process(int[${d}] indices) {
-        int logical_row_start_offset = indices[0] * ${i};
-
-        float max = getColorAsFloat(${f.texture2D}(A, offsetToCoords(logical_row_start_offset, ${n},
-        ${s} )));
-        for(int i=1; i<${i}; ++i)
-        {
-          float current = getColorAsFloat(${f.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
-            ${n}, ${s})));
-          if(current > max)
-          max = current;
-        }
-
-        return max;
-      }`;
-                return { ..._c, output: { dims: u, type: e.type, textureType: 0 }, shaderSource: r };
-            }),
-            (Pb = (t, e, o, i, u, n) => {
-                let [s, d] = t.calculateTextureWidthAndHeight(e.dims, 0),
-                    f = n.length;
-                if (o < 1 || i < 1)
-                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
-                if (n.length !== 1) throw new Error('Dimensionality of the output should be 1');
-                if (n[0] !== o) throw new Error('Shape of the output should be equal to logical row count');
-                if (u.length !== 1) throw new Error('Dimensionality of the intermediate results should be 1');
-                if (u[0] !== o)
-                    throw new Error('Shape of the intermediate results should be equal to logical row count');
-                let r = q(t.session.backend.glContext.version),
-                    a = `
-      float process(int[${f}] indices) {
-        int logical_row_start_offset = indices[0] * ${i};
-
-        float norm_factor = 0.0;
-        float max = _Max(indices);
-        for(int i=0; i<${i}; ++i)
-        {
-          norm_factor += exp(getColorAsFloat(${r.texture2D}(A, offsetToCoords(logical_row_start_offset + i,
-            ${s}, ${d}))) - max);
-        }
-
-        return norm_factor;
-      }`;
-                return { ...Oc, output: { dims: n, type: e.type, textureType: 0 }, shaderSource: a };
-            }),
-            (Eb = (t, e, o, i, u, n) => {
-                let [s, d] = t.calculateTextureWidthAndHeight(e.dims, 0),
-                    f = e.dims.length;
-                if (o < 1 || i < 1)
-                    throw new Error('Logical row count N and feature count D must be greater than or equal to 1');
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-                    return new R(`
-      int getOutputCoords() {
-        return 0;
-      }
-    `);
-                }
-                getOutputPacked1DCoords(t, e) {
-                    let o = e,
-                        i = '';
-                    return o[0] === 1
-                        ? ((i = `
-          int getOutputCoords() {
-            return 2 * int(TexCoords.y * ${o[1]}.0);
-          }
-        `),
-                          new R(i))
-                        : o[1] === 1
-                        ? ((i = `
-          int getOutputCoords() {
-            return 2 * int(TexCoords.x * ${o[0]}.0);
-          }
-        `),
-                          new R(i))
-                        : ((i = `
-        int getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                 vec2(${o[0]}, ${o[1]}));
-          return 2 * (resTexRC.y * ${o[0]} + resTexRC.x);
-        }
-      `),
-                          new R(i));
-                }
-                getOutputPacked2DCoords(t, e) {
-                    let o = '';
-                    if (cr.arraysEqual(t, e))
-                        return (
-                            (o = `
-        ivec2 getOutputCoords() {
-          return 2 * ivec2(TexCoords.xy * vec2(${e[0]}, ${e[1]}));
-        }
-      `),
-                            new R(o)
-                        );
-                    let i = e,
-                        u = Math.ceil(t[1] / 2);
-                    return (
-                        (o = `
-        ivec2 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${i[0]}, ${i[1]}));
-
-          int index = resTexRC.y * ${i[0]} + resTexRC.x;
-
-          // reverse r and c order for packed texture
-          int r = imod(index, ${u}) * 2;
-          int c = 2 * (index / ${u});
-
-          return ivec2(r, c);
-        }
-      `),
-                        new R(o)
-                    );
-                }
-                getOutputPacked3DCoords(t, e) {
-                    let o = [e[0], e[1]],
-                        i = Math.ceil(t[2] / 2),
-                        u = i * Math.ceil(t[1] / 2),
-                        n = `
-        ivec3 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${o[0]}, ${o[1]}));
-          int index = resTexRC.y * ${o[0]} + resTexRC.x;
-
-          int b = index / ${u};
-          index -= b * ${u};
-
-          // reverse r and c order for packed texture
-          int r = imod(index, ${i}) * 2;
-          int c = 2 * (index / ${i});
-
-          return ivec3(b, r, c);
-        }
-      `;
-                    return new R(n);
-                }
-                getOutputPackedNDCoords(t, e) {
-                    let o = [e[0], e[1]],
-                        i = Math.ceil(t[t.length - 1] / 2),
-                        u = i * Math.ceil(t[t.length - 2] / 2),
-                        n = u,
-                        s = '',
-                        d = 'b, r, c';
-                    for (let r = 2; r < t.length - 1; r++)
-                        (n *= t[t.length - r - 1]),
-                            (s =
-                                `
-      int b${r} = index / ${n};
-      index -= b${r} * ${n};
-    ` + s),
-                            (d = `b${r}, ` + d);
-                    let f = `
-      ivec${t.length} getOutputCoords() {
-        ivec2 resTexRC = ivec2(TexCoords.xy *
-                              vec2(${o[0]}, ${o[1]}));
-        int index = resTexRC.y * ${o[0]} + resTexRC.x;
-
-        ${s}
-
-        int b = index / ${u};
-        index -= b * ${u};
-
-        // reverse r and c order for packed texture
-        int r = imod(index, ${i}) * 2;
-        int c = 2 * (index / ${i});
-
-        return ivec${t.length}(${d});
-      }
-    `;
-                    return new R(f);
-                }
-                getOutputUnpacked1DCoords(t, e) {
-                    let o = `
-        int getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          return resTexRC.y * ${e[0]} + resTexRC.x;
-        }
-      `;
-                    return new R(o);
-                }
-                getOutputUnpacked2DCoords(t, e) {
-                    let o = `
-        ivec2 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          int index = resTexRC.y * ${e[0]} + resTexRC.x;
-          int r = index / ${t[1]};
-          int c = index - r * ${t[1]};
-          return ivec2(r, c);
-        }
-      `;
-                    return new R(o);
-                }
-                getOutputUnpacked3DCoords(t, e) {
-                    let o = '',
-                        i = t.length,
-                        u = null;
-                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
-                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
-                    let n = ['r', 'c', 'd'],
-                        s = u
-                            .map((d, f) => {
-                                let r = `int ${n[f]} = index / ${d}`,
-                                    a =
-                                        f === u.length - 1
-                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
-                                            : `index -= ${n[f]} * ${d}`;
-                                return `${r}; ${a};`;
-                            })
-                            .join('');
-                    return (
-                        (o = `
-        ivec3 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          int index = resTexRC.y * ${e[0]} + resTexRC.x;
-          ${s}
-          return ivec3(r, c, d);
-        }
-      `),
-                        new R(o)
-                    );
-                }
-                getOutputUnpacked4DCoords(t, e) {
-                    let o = '',
-                        i = t.length,
-                        u = null;
-                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
-                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
-                    let n = ['r', 'c', 'd', 'd2'],
-                        s = u
-                            .map((d, f) => {
-                                let r = `int ${n[f]} = index / ${d}`,
-                                    a =
-                                        f === u.length - 1
-                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
-                                            : `index -= ${n[f]} * ${d}`;
-                                return `${r}; ${a};`;
-                            })
-                            .join('');
-                    return (
-                        (o = `
-      ivec4 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          int index = resTexRC.y * ${e[0]} + resTexRC.x;
-          ${s}
-          return ivec4(r, c, d, d2);
-        }
-      `),
-                        new R(o)
-                    );
-                }
-                getOutputUnpacked5DCoords(t, e) {
-                    let o = '',
-                        i = t.length,
-                        u = null;
-                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
-                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
-                    let n = ['r', 'c', 'd', 'd2', 'd3'],
-                        s = u
-                            .map((d, f) => {
-                                let r = `int ${n[f]} = index / ${d}`,
-                                    a =
-                                        f === u.length - 1
-                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
-                                            : `index -= ${n[f]} * ${d}`;
-                                return `${r}; ${a};`;
-                            })
-                            .join('');
-                    return (
-                        (o = `
-      ivec5 getOutputCoords() {
-          ivec2 resTexRC = ivec2(TexCoords.xy *
-                                vec2(${e[0]}, ${e[1]}));
-          int index = resTexRC.y * ${e[0]} + resTexRC.x;
-          ${s}
-          return ivec5(r, c, d, d2, d3);
-        }
-      `),
-                        new R(o)
-                    );
-                }
-                getOutputUnpacked6DCoords(t, e) {
-                    let o = '',
-                        i = t.length,
-                        u = null;
-                    i < 2 && (u = []), (u = new Array(i - 1)), (u[i - 2] = t[i - 1]);
-                    for (let d = i - 3; d >= 0; --d) u[d] = u[d + 1] * t[d + 1];
-                    let n = ['r', 'c', 'd', 'd2', 'd3', 'd4'],
-                        s = u
-                            .map((d, f) => {
-                                let r = `int ${n[f]} = index / ${d}`,
-                                    a =
-                                        f === u.length - 1
-                                            ? `int ${n[f + 1]} = index - ${n[f]} * ${d}`
-                                            : `index -= ${n[f]} * ${d}`;
-                                return `${r}; ${a};`;
-                            })
-                            .join('');
-                    return (
-                        (o = `
-     ivec6 getOutputCoords() {
-         ivec2 resTexRC = ivec2(TexCoords.xy *
-                               vec2(${e[0]}, ${e[1]}));
-         int index = resTexRC.y * ${e[0]} + resTexRC.x;
-         ${s}
-         return ivec6(r, c, d, d2, d3, d4);
-       }
-     `),
-                        new R(o)
-                    );
-                }
-                getCommonUtilFuncs() {
-                    let t = {},
-                        e = 'uvFromFlat';
-                    (t[e] = new R(`
-    vec2 uvFromFlat(int texNumR, int texNumC, int index) {
-      int texC = index / texNumR;
-      int texR = index - texC * texNumR;
-      // TODO: swap texR, texC order in following function so row is corresponding to u and column is corresponding to
-      //       v.
-      return (vec2(texR, texC) + halfCR) / vec2(texNumR, texNumC);
-    }
-    `)),
-                        (e = 'packedUVfrom1D'),
-                        (t[e] = new R(`
-      vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
-        int texelIndex = index / 2;
-        int texR = texelIndex / texNumC;
-        int texC = texelIndex - texR * texNumC;
-        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
-      }
-      `)),
-                        (e = 'packedUVfrom2D'),
-                        (t[e] = new R(`
-      vec2 packedUVfrom2D(int texNumR, int texNumC, int texelsInLogicalRow, int row, int col) {
-        int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
-        int texR = texelIndex / texNumC;
-        int texC = texelIndex - texR * texNumC;
-        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
-      }
-      `)),
-                        (e = 'packedUVfrom3D'),
-                        (t[e] = new R(`
-      vec2 packedUVfrom3D(int texNumR, int texNumC,
-          int texelsInBatch, int texelsInLogicalRow, int b,
-          int row, int col) {
-        int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
-        int texR = index / texNumC;
-        int texC = index - texR * texNumC;
-        return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
-      }
-      `)),
-                        (e = 'sampleTexture');
-                    let o = q(this.context.glContext.version);
-                    return (
-                        (t[e] = new R(`
-        float sampleTexture(sampler2D textureSampler, vec2 uv) {
-            return ${o.texture2D}(textureSampler, uv).r;
-        }`)),
-                        t
-                    );
-                }
-                getInputsSamplingSnippets() {
-                    let t = {},
-                        e = this.context.outputTextureLayout;
-                    return (
-                        this.context.programInfo.inputNames.forEach((o, i) => {
-                            let u = this.context.inputTextureLayouts[i],
-                                n = Kn(o);
-                            u.isPacked
-                                ? (t[n] = this.getPackedSamplerFromInput(n, o, u))
-                                : (t[n] = this.getUnpackedSamplerFromInput(n, o, u));
-                            let s = Mu(o);
-                            u.unpackedShape.length <= e.unpackedShape.length &&
-                                (u.isPacked
-                                    ? (t[s] = this.getPackedSamplerAtOutputCoords(s, u, e, o))
-                                    : (t[s] = this.getUnpackedSamplerAtOutputCoords(s, u, e, o)));
-                        }),
-                        t
-                    );
-                }
-                getPackedSamplerAtOutputCoords(t, e, o, i) {
-                    let u = e.unpackedShape,
-                        n = o.unpackedShape,
-                        s = Kn(i),
-                        d = u.length,
-                        f = n.length,
-                        r = Xe.getBroadcastDims(u, n),
-                        a = Ke(f),
-                        l = f - d,
-                        p,
-                        m = St();
-                    d === 0
-                        ? (p = '')
-                        : f < 2 && r.length >= 1
-                        ? (p = 'coords = 0;')
-                        : (p = r.map((F) => `coords.${m[F + l]} = 0;`).join(`
-`));
-                    let y = '';
-                    f < 2 && d > 0 ? (y = 'coords') : (y = u.map((F, B) => `coords.${m[B + l]}`).join(', '));
-                    let T = 'return outputValue;',
-                        v = U.size(u) === 1,
-                        S = U.size(n) === 1;
-                    if (d === 1 && !v && !S)
-                        T = `
-        return vec4(outputValue.xy, outputValue.xy);
-      `;
-                    else if (v && !S)
-                        f === 1
-                            ? (T = `
-          return vec4(outputValue.x, outputValue.x, 0., 0.);
-        `)
-                            : (T = `
-          return vec4(outputValue.x);
-        `);
-                    else if (r.length) {
-                        let F = d - 2,
-                            B = d - 1;
-                        r.indexOf(F) > -1 && r.indexOf(B) > -1
-                            ? (T = 'return vec4(outputValue.x);')
-                            : r.indexOf(F) > -1
-                            ? (T = 'return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);')
-                            : r.indexOf(B) > -1 && (T = 'return vec4(outputValue.xx, outputValue.zz);');
-                    }
-                    let E = `
-        int lastDim = coords.${m[f - 1]};
-        coords.${m[f - 1]} = coords.${m[f - 2]};
-        coords.${m[f - 2]} = lastDim;
-      `,
-                        A = `
-      vec4 ${t}() {
-        ${a} coords = getOutputCoords();
-        ${E}
-        ${p}
-        vec4 outputValue = ${s}(${y});
-        ${T}
-      }
-    `;
-                    return new R(A, ['coordinates.getOutputCoords']);
-                }
-                getUnpackedSamplerAtOutputCoords(t, e, o, i) {
-                    let u = [o.width, o.height],
-                        n = [e.width, e.height],
-                        s = e.unpackedShape.length,
-                        d = o.unpackedShape.length,
-                        f = e.unpackedShape,
-                        r = o.unpackedShape,
-                        a = Kn(i);
-                    if (s === d && cr.arraysEqual(n, u)) {
-                        let E = `
-          float ${t}() {
-            return sampleTexture(${i}, TexCoords);
-          }
-        `;
-                        return new R(E, ['coordinates.sampleTexture']);
-                    }
-                    let l = Ke(d),
-                        p = Xe.getBroadcastDims(f, r),
-                        m = d - s,
-                        y,
-                        T = St();
-                    s === 0
-                        ? (y = '')
-                        : d < 2 && p.length >= 1
-                        ? (y = 'coords = 0;')
-                        : (y = p.map((E) => `coords.${T[E + m]} = 0;`).join(`
-`));
-                    let v = '';
-                    d < 2 && s > 0
-                        ? (v = 'coords')
-                        : (v = e.unpackedShape.map((E, A) => `coords.${T[A + m]}`).join(', '));
-                    let S = `
-        float ${t}() {
-          ${l} coords = getOutputCoords();
-          ${y}
-          return ${a}(${v});
-        }
-      `;
-                    return new R(S, ['coordinates.getOutputCoords']);
-                }
-                getPackedSamplerFromInput(t, e, o) {
-                    switch (o.unpackedShape.length) {
-                        case 0:
-                            return this.getPackedSamplerScalar(t, e);
-                        case 1:
-                            return this.getPackedSampler1D(t, e, o);
-                        case 2:
-                            return this.getPackedSampler2D(t, e, o);
-                        case 3:
-                            return this.getPackedSampler3D(t, e, o);
-                        default:
-                            return this.getPackedSamplerND(t, e, o);
-                    }
-                }
-                getUnpackedSamplerFromInput(t, e, o) {
-                    let i = o.unpackedShape;
-                    switch (i.length) {
-                        case 0:
-                            return this.getUnpackedSamplerScalar(t, e, o);
-                        case 1:
-                            return this.getUnpackedSampler1D(t, e, o);
-                        case 2:
-                            return this.getUnpackedSampler2D(t, e, o);
-                        case 3:
-                            return this.getUnpackedSampler3D(t, e, o);
-                        case 4:
-                            return this.getUnpackedSampler4D(t, e, o);
-                        case 5:
-                            return this.getUnpackedSampler5D(t, e, o);
-                        case 6:
-                            return this.getUnpackedSampler6D(t, e, o);
-                        default:
-                            throw new Error(`Unsupported dimension ${i.length}-D`);
-                    }
-                }
-                getPackedSamplerScalar(t, e) {
-                    let o = q(this.context.glContext.version),
-                        i = `
-          vec4 ${t}() {
-            return ${o.texture2D}(${e}, halfCR);
-          }
-        `;
-                    return new R(i);
-                }
-                getPackedSampler1D(t, e, o) {
-                    let i = [o.width, o.height],
-                        u = [i[1], i[0]],
-                        n = q(this.context.glContext.version),
-                        s = `vec4 ${t}(int index) {
-      vec2 uv = packedUVfrom1D(
-      ${u[0]}, ${u[1]}, index);
-      return ${n.texture2D}(${e}, uv);
-    }`;
-                    return new R(s, ['coordinates.packedUVfrom1D']);
-                }
-                getPackedSampler2D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = [o.width, o.height],
-                        n = q(this.context.glContext.version),
-                        s = u[0],
-                        d = u[1];
-                    if (u != null && cr.arraysEqual(i, u)) {
-                        let l = `vec4 ${t}(int row, int col) {
-        vec2 uv = (vec2(col, row) + halfCR) / vec2(${d}.0, ${s}.0);
-        return ${n.texture2D}(${e}, uv);
-      }`;
-                        return new R(l);
-                    }
-                    let f = u,
-                        r = Math.ceil(i[1] / 2),
-                        a = `vec4 ${t}(int row, int col) {
-      vec2 uv = packedUVfrom2D(${f[1]}, ${f[0]}, ${r}, row, col);
-      return ${n.texture2D}(${e}, uv);
-    }`;
-                    return new R(a, ['coordinates.packedUVfrom2D']);
-                }
-                getPackedSampler3D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = [o.width, o.height],
-                        n = [u[0], u[1]],
-                        s = q(this.context.glContext.version);
-                    if (i[0] === 1) {
-                        let p = i.slice(1),
-                            m = [1, 2],
-                            y = kr(i, p),
-                            T = ['b', 'row', 'col'],
-                            v = JSON.parse(JSON.stringify(o));
-                        v.unpackedShape = y;
-                        let S = this.getPackedSamplerFromInput(t, e, v),
-                            E = `${S.routineBody}
-      vec4 ${t}(int b, int row, int col) {
-        return ${t}(${Br(T, m)});
-      } `;
-                        return new R(E, S.dependencies);
-                    }
-                    let d = n[0],
-                        f = n[1],
-                        r = Math.ceil(i[2] / 2),
-                        a = r * Math.ceil(i[1] / 2),
-                        l = `vec4 ${t}(int b, int row, int col) {
-      vec2 uv = packedUVfrom3D(
-        ${f}, ${d}, ${a}, ${r}, b, row, col);
-      return ${s.texture2D}(${e}, uv);}`;
-                    return new R(l, ['coordinates.packedUVfrom3D']);
-                }
-                getPackedSamplerND(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = i.length,
-                        n = [o.width, o.height],
-                        s = q(this.context.glContext.version),
-                        d = [n[0], n[1]],
-                        f = d[1],
-                        r = d[0],
-                        a = Math.ceil(i[u - 1] / 2),
-                        l = a * Math.ceil(i[u - 2] / 2),
-                        p = 'int b, int row, int col',
-                        m = `b * ${l} + (row / 2) * ${a} + (col / 2)`;
-                    for (let T = 2; T < u - 1; T++)
-                        (p = `int b${T}, ` + p), (l *= i[u - T - 1]), (m = `b${T} * ${l} + ` + m);
-                    let y = `vec4 ${t}(${p}) {
-      int index = ${m};
-      int texR = index / ${r};
-      int texC = index - texR * ${r};
-      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}, ${f});
-      return ${s.texture2D}(${e}, uv);
-    }`;
-                    return new R(y);
-                }
-                getUnpackedSamplerScalar(t, e, o) {
-                    let [i, u] = [o.width, o.height];
-                    if (i === 1 && u === 1) {
-                        let s = `
-          float ${t}() {
-            return sampleTexture(${e}, halfCR);
-          }
-        `;
-                        return new R(s, ['coordinates.sampleTexture']);
-                    }
-                    let n = `
-        float ${t}() {
-          int offset_${e} = coordsToOffset(TexCoords, ${i}, ${u});
-          vec2 uv = uvFromFlat(${i}, ${u}, offset_${e});
-          return sampleTexture(${e}, uv);
-        }
-      `;
-                    return new R(n, [
-                        'coordinates.uvFromFlat',
-                        'coordinates.sampleTexture',
-                        'coordinates.coordsToOffset',
-                    ]);
-                }
-                getUnpackedSampler1D(t, e, o) {
-                    let i = o.width,
-                        u = o.height;
-                    if (u === 1 && i === 1) {
-                        let s = `
-        float ${t}(int index) {
-          return sampleTexture(${e}, halfCR);
-        }
-      `;
-                        return new R(s, ['coordinates.sampleTexture']);
-                    }
-                    if (u === 1) {
-                        let s = `
-          float ${t}(int index) {
-            vec2 uv = vec2((float(index) + 0.5) / ${i}.0, 0.5);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                        return new R(s, ['coordinates.sampleTexture']);
-                    }
-                    if (i === 1) {
-                        let s = `
-          float ${t}(int index) {
-            vec2 uv = vec2(0.5, (float(index) + 0.5) / ${u}.0);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                        return new R(s, ['coordinates.sampleTexture']);
-                    }
-                    let n = `
-        float ${t}(int index) {
-          vec2 uv = uvFromFlat(${i}, ${u}, index);
-          return sampleTexture(${e}, uv);
-        }
-      `;
-                    return new R(n, ['coordinates.uvFromFlat', 'coordinates.sampleTexture']);
-                }
-                getUnpackedSampler2D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = [o.height, o.width];
-                    if (u != null && cr.arraysEqual(i, u)) {
-                        let l = u[1],
-                            p = u[0],
-                            m = `
-          float ${t}(int row, int col) {
-            vec2 uv = (vec2(row, col) + halfCR) / vec2(${l}.0, ${p}.0);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                        return new R(m, ['coordinates.sampleTexture']);
-                    }
-                    let { newShape: n, keptDims: s } = Gr(i),
-                        d = n;
-                    if (d.length < i.length) {
-                        let l = kr(i, d),
-                            p = JSON.parse(JSON.stringify(o));
-                        p.unpackedShape = l;
-                        let m = ['col', 'row'],
-                            y = `
-          ${this.getUnpackedSamplerFromInput(t, e, p).routineBody}
-          float ${t}(int row, int col) {
-            return ${t}(${Br(m, s)});
-          }
-        `;
-                        return new R(y, ['coordinates.sampleTexture']);
-                    }
-                    let f = u[1],
-                        r = u[0];
-                    if (r === 1) {
-                        let l = `
-          float ${t}(int row, int col) {
-            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${r});
-            float index = dot(vec3(row, col, offset_${e}), vec3(${i[1]}, 1, 1));
-            vec2 uv = vec2(0.5, (index + 0.5) / ${f}.0);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                        return new R(l, ['coordinates.sampleTexture', 'coordinates.coordsToOffset']);
-                    }
-                    if (f === 1) {
-                        let l = `
-          float ${t}(int row, int col) {
-            int offset_${e} = coordsToOffset(TexCoords, ${f}, ${r});
-            float index = dot(vec3(row, col, offset_${e}), vec3(${i[1]}, 1, 1));
-            vec2 uv = vec2((index + 0.5) / ${r}.0, 0.5);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                        return new R(l, ['coordinates.sampleTexture', 'coordinates.coordsToOffset']);
-                    }
-                    let a = `
-        float ${t}(int row, int col) {
-          int index = col * ${i[1]} + row;
-          vec2 uv = uvFromFlat(${f}, ${r}, index);
-          return sampleTexture(${e}, uv);
-        }
-      `;
-                    return new R(a, [
-                        'coordinates.uvFromFlat',
-                        'coordinates.sampleTexture',
-                        'coordinates.coordsToOffset',
-                    ]);
-                }
-                getUnpackedSampler3D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = i[1] * i[2],
-                        n = i[2],
-                        { newShape: s, keptDims: d } = Gr(i),
-                        f = s;
-                    if (f.length < i.length) {
-                        let p = kr(i, f),
-                            m = ['batch', 'col', 'row'],
-                            y = JSON.parse(JSON.stringify(o));
-                        y.unpackedShape = p;
-                        let T = this.getUnpackedSamplerFromInput(t, e, y),
-                            v = d.reverse(),
-                            S = `
-          ${T.routineBody}
-          float ${t}(int batch, int row, int col) {
-            return ${t}(${Br(m, v)});
-          }
-        `;
-                        return new R(S, T.dependencies);
-                    }
-                    let r = o.width,
-                        a = o.height,
-                        l = `
-          float ${t}(int depth, int row, int col) {
-            // Explicitly use integer operations as dot() only works on floats.
-            int index = depth * ${u} + col * ${n} + row;
-            vec2 uv = uvFromFlat(${r}, ${a}, index);
-            return sampleTexture(${e}, uv);
-          }
-      `;
-                    return new R(l, [
-                        'coordinates.uvFromFlat',
-                        'coordinates.sampleTexture',
-                        'coordinates.coordsToOffset',
-                    ]);
-                }
-                getUnpackedSampler4D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = i[3],
-                        n = i[2] * u,
-                        s = i[1] * n,
-                        d = o.width,
-                        f = o.height,
-                        r = `
-        float ${t}(int row, int col, int depth, int depth2) {
-          int index = row * ${s} + col * ${n} +
-              depth2 * ${u} + depth;
-          vec2 uv = uvFromFlat(${d}, ${f}, index);
-          return sampleTexture(${e}, uv);
-        }
-      `;
-                    return new R(r, ['coordinates.uvFromFlat', 'coordinates.sampleTexture']);
-                }
-                getUnpackedSampler5D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = i[4],
-                        n = i[3] * u,
-                        s = i[2] * n,
-                        d = i[1] * s,
-                        { newShape: f, keptDims: r } = Gr(i);
-                    if (f.length < i.length) {
-                        let m = kr(i, f),
-                            y = ['row', 'col', 'depth', 'depth2', 'depth3'],
-                            T = JSON.parse(JSON.stringify(o));
-                        T.unpackedShape = m;
-                        let v = `
-          ${this.getUnpackedSamplerFromInput(t, e, T).routineBody}
-          float ${t}(int row, int col, int depth, int depth2, int depth3) {
-            return ${t}(${Br(y, r)});
-          }
-        `;
-                        return new R(v, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
-                    }
-                    let a = o.width,
-                        l = o.height,
-                        p = `
-        float ${t}(int row, int col, int depth, int depth2, int depth3) {
-          int index = row * ${d} + col * ${s} + depth * ${n} +
-          depth3 * ${u} + depth2;
-          vec2 uv = uvFromFlat(${a}, ${l}, index);
-          return sampleTexture(${e}, uv);
-        }
-      `;
-                    return new R(p, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
-                }
-                getUnpackedSampler6D(t, e, o) {
-                    let i = o.unpackedShape,
-                        u = i[5],
-                        n = i[4] * u,
-                        s = i[3] * n,
-                        d = i[2] * s,
-                        f = i[1] * d,
-                        { newShape: r, keptDims: a } = Gr(i);
-                    if (r.length < i.length) {
-                        let y = kr(i, r),
-                            T = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'],
-                            v = JSON.parse(JSON.stringify(o));
-                        v.unpackedShape = y;
-                        let S = `
-            ${this.getUnpackedSamplerFromInput(t, e, v).routineBody}
-            float ${t}(int row, int col, int depth,
-              int depth2, int depth3, int depth4) {
-              return ${t}(${Br(T, a)});
-            }
-          `;
-                        return new R(S, ['coordinates.sampleTexture', 'coordinates.uvFromFlat']);
-                    }
-                    let l = o.width,
-                        p = o.height,
-                        m = `
-          float ${t}(int row, int col, int depth,
-            int depth2, int depth3, int depth4) {
-            int index = row * ${f} + col * ${d} + depth * ${s} +
-            depth2 * ${n} + depth3 * ${u} + depth4;
-            vec2 uv = uvFromFlat(${l}, ${p}, index);
-            return sampleTexture(${e}, uv);
-          }
-        `;
-                    return new R(m, [
-                        'coordinates.uvFromFlat',
-                        'coordinates.sampleTexture',
-                        'coordinates.coordsToOffset',
-                    ]);
-                }
-                toVec() {
-                    let t = this.context.outputTextureLayout,
-                        e = t.shape.length,
-                        o = t.strides,
-                        i = t.width,
-                        u = t.height,
-                        n = [];
-                    for (let d = 0; d < e - 1; ++d)
-                        n.push(`
-        c[${d}] = offset / ${o[d]};`),
-                            n.push(`
-        offset -= c[${d}] * ${o[d]};`);
-                    n.push(`
-        c[${e - 1}] = offset;`);
-                    let s = `
-      void toVec(vec2 texCoords, out int c[${e}]) {
-        int offset = coordsToOffset(texCoords, ${i}, ${u});
-        ${n.join('')}
-      }
-      void toVec(int offset, out int c[${e}]) {
-        ${n.join('')}
-      }
-    `;
-                    return { toVec: new R(s, ['coordinates.coordsToOffset']) };
-                }
-                valueFrom() {
-                    let t = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((e, o) => {
-                            let i = this.context.inputTextureLayouts[o],
-                                u = (i.unpackedShape.length > 0 ? i.unpackedShape : i.shape).length,
-                                n = `_${e}`;
-                            (t[n] = new R(this.getValueFromSingle(e, u, i.width, i.height, !1), [
-                                `shapeUtils.indicesToOffset${n}`,
-                                'coordinates.offsetToCoords',
-                                'fragcolor.getColorAsFloat',
-                            ])),
-                                (n = n + '_T'),
-                                (t[n] = new R(this.getValueFromSingle(e, u, i.width, i.height, !0), [
-                                    `shapeUtils.indicesToOffset${n}`,
-                                    'coordinates.offsetToCoords',
-                                    'fragcolor.getColorAsFloat',
-                                ]));
-                        }),
-                        t
-                    );
-                }
-                getValueFromSingle(t, e, o, i, u) {
-                    let n = `_${t}`;
-                    u && (n = n + '_T');
-                    let s = q(this.context.glContext.version);
-                    return `
-        float ${n}(int m[${e}]) {
-          int offset = indicesToOffset${n}(m);
-          vec2 coords = offsetToCoords(offset, ${o}, ${i});
-          float value = getColorAsFloat(${s.texture2D}(${t}, coords));
-          return value;
-        }
-        `;
-                }
-                getPackedValueFrom(t, e, o, i, u) {
-                    let n = `_${t}_Pack`;
-                    u && (n = n + '_T');
-                    let s = q(this.context.glContext.version);
-                    return `
-        vec4 ${n}(int m[${e}]) {
-          int offset = indicesToOffset_${t}(m);
-          vec2 coords = offsetToCoords(offset, ${o}, ${i});
-          return ${s.texture2D}(${t}, coords);
-        }
-        `;
-                }
-            });
-    }),
-    po,
-    ep = L(() => {
-        Vt(),
-            (po = class Pn extends pt {
-                constructor(e) {
-                    super(e);
-                }
-                getFunctions() {
-                    return { ...this.encodeFloat32(), ...this.decodeFloat32() };
-                }
-                getCustomTypes() {
-                    return {};
-                }
-                encodeFloat32() {
-                    return {
-                        encode: new R(`highp vec4 encode(highp float f) {
-        return vec4(f, 0.0, 0.0, 0.0);
-      }
-        `),
-                    };
-                }
-                decodeFloat32() {
-                    return {
-                        decode: new R(`highp float decode(highp vec4 rgba) {
-        return rgba.r;
-      }
-        `),
-                    };
-                }
-                encodeUint8() {
-                    let e = Pn.isLittleEndian() ? 'rgba.rgba=rgba.abgr;' : '';
-                    return {
-                        encode: new R(`
-      highp vec4 encode(highp float f) {
-        highp float F = abs(f);
-        highp float Sign = step(0.0,-f);
-        highp float Exponent = floor(log2(F));
-        highp float Mantissa = (exp2(- Exponent) * F);
-        Exponent = floor(log2(F) + 127.0) + floor(log2(Mantissa));
-        highp vec4 rgba;
-        rgba[0] = 128.0 * Sign  + floor(Exponent*exp2(-1.0));
-        rgba[1] = 128.0 * mod(Exponent,2.0) + mod(floor(Mantissa*128.0),128.0);
-        rgba[2] = floor(mod(floor(Mantissa*exp2(23.0 -8.0)),exp2(8.0)));
-        rgba[3] = floor(exp2(23.0)*mod(Mantissa,exp2(-15.0)));
-        ${e}
-        rgba = rgba / 255.0; // values need to be normalized to [0,1]
-        return rgba;
-    }
-        `),
-                    };
-                }
-                decodeUint8() {
-                    let e = Pn.isLittleEndian() ? 'rgba.rgba=rgba.abgr;' : '';
-                    return {
-                        decode: new R(`
-        highp float decode(highp vec4 rgba) {
-          rgba = rgba * 255.0; // values need to be de-normalized from [0,1] to [0,255]
-          ${e}
-          highp float Sign = 1.0 - step(128.0,rgba[0])*2.0;
-          highp float Exponent = 2.0 * mod(rgba[0],128.0) + step(128.0,rgba[1]) - 127.0;
-          highp float Mantissa = mod(rgba[1],128.0)*65536.0 + rgba[2]*256.0 +rgba[3] + float(0x800000);
-          highp float Result =  Sign * exp2(Exponent) * (Mantissa * exp2(-23.0 ));
-          return Result;
-      }
-        `),
-                    };
-                }
-                static isLittleEndian() {
-                    let e = new ArrayBuffer(4),
-                        o = new Uint32Array(e),
-                        i = new Uint8Array(e);
-                    if (((o[0] = 3735928559), i[0] === 239)) return !0;
-                    if (i[0] === 222) return !1;
-                    throw new Error('unknown endianness');
-                }
-            });
-    }),
-    ho,
-    tp = L(() => {
-        Vt(),
-            xe(),
-            (ho = class extends pt {
-                constructor(t) {
-                    super(t);
-                }
-                getFunctions() {
-                    return { ...this.setFragColor(), ...this.getColorAsFloat() };
-                }
-                getCustomTypes() {
-                    return {};
-                }
-                setFragColor() {
-                    let t = q(this.context.glContext.version);
-                    return {
-                        setFragColor: new R(
-                            `
-        void setFragColor(float value) {
-            ${t.output} = encode(value);
-        }
-        `,
-                            ['encoding.encode']
-                        ),
-                    };
-                }
-                getColorAsFloat() {
-                    return {
-                        getColorAsFloat: new R(
-                            `
-        float getColorAsFloat(vec4 color) {
-            return decode(color);
-        }
-        `,
-                            ['encoding.decode']
-                        ),
-                    };
-                }
-            });
-    }),
-    mo,
-    rp = L(() => {
-        Vt(),
-            (mo = class wr extends pt {
-                constructor(e) {
-                    super(e);
-                }
-                getFunctions() {
-                    return {
-                        ...this.bcastIndex(),
-                        ...this.bcastMatmulIndex(),
-                        ...this.offsetToIndices(),
-                        ...this.indicesToOffset(),
-                        ...this.incrementIndices(),
-                    };
-                }
-                getCustomTypes() {
-                    return {};
-                }
-                bcastIndex() {
-                    let e = this.context.outputTextureLayout.shape.length,
-                        o = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((i, u) => {
-                            let n = this.context.inputTextureLayouts[u].unpackedShape;
-                            if (n.length <= e) {
-                                let s = n.length,
-                                    d = e - s,
-                                    f = `bcastIndices_${i}`,
-                                    r = '';
-                                for (let l = 0; l < s; ++l)
-                                    r += `
-          realIndices[${l}] = int( mod(float(bcastedIndices[${d + l}]), ${n[l]}.0) );
-          `;
-                                let a = `
-        void ${f} (int bcastedIndices[${e}], out int realIndices[${s}]) {
-          ${r}
-        }
-        `;
-                                o[f] = new R(a);
-                            }
-                        }),
-                        o
-                    );
-                }
-                bcastMatmulIndex() {
-                    let e = this.context.outputTextureLayout.shape.length,
-                        o = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((i, u) => {
-                            let n = this.context.inputTextureLayouts[u].shape;
-                            if (!(n.length < 2 || n.length > e)) {
-                                let s = n.length,
-                                    d = e - s,
-                                    f = `bcastMatmulIndices_${i}`,
-                                    r = '';
-                                for (let l = 0; l < s - 2; ++l)
-                                    r += `
-          realIndices[${l}] = int( mod(float(bcastedIndices[${d + l}]), ${n[l]}.0) );
-          `;
-                                let a = `
-        void ${f}(int bcastedIndices[${e}], out int realIndices[${s}]) {
-          ${r}
-          realIndices[${s - 1}] = bcastedIndices[${e - 1}];
-          realIndices[${s - 2}] = bcastedIndices[${e - 2}];
-        }
-        `;
-                                o[f] = new R(a);
-                            }
-                        }),
-                        o
-                    );
-                }
-                indicesToOffset() {
-                    let e = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((o, i) => {
-                            let u = this.context.inputTextureLayouts[i].shape,
-                                n = this.context.inputTextureLayouts[i].strides,
-                                s = u.length,
-                                d = `indicesToOffset_${o}`;
-                            (e[d] = new R(wr.indexToOffsetSingle(d, s, n))),
-                                (d = `indicesToOffset_${o}_T`),
-                                (e[d] = new R(wr.indexToOffsetSingle(d, s, n.slice().reverse())));
-                        }),
-                        e
-                    );
-                }
-                static indexToOffsetSingle(e, o, i) {
-                    let u = '';
-                    for (let n = o - 1; n >= 0; --n)
-                        u += `
-        offset += indices[${n}] * ${i[n]};
-        `;
-                    return `
-      int ${e}(int indices[${o}]) {
-        int offset = 0;
-        ${u}
-        return offset;
-      }
-      `;
-                }
-                offsetToIndices() {
-                    let e = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((o, i) => {
-                            let u = this.context.inputTextureLayouts[i].shape,
-                                n = this.context.inputTextureLayouts[i].strides,
-                                s = u.length,
-                                d = `offsetToIndices_${o}`;
-                            (e[d] = new R(wr.offsetToIndicesSingle(d, s, n))),
-                                (d = `offsetToIndices_${o}_T`),
-                                (e[d] = new R(wr.offsetToIndicesSingle(d, s, n.slice().reverse())));
-                        }),
-                        e
-                    );
-                }
-                static offsetToIndicesSingle(e, o, i) {
-                    let u = [];
-                    for (let n = 0; n < o - 1; ++n)
-                        u.push(`
-      indices[${n}] = offset / ${i[n]};`),
-                            u.push(`
-        offset -= indices[${n}] * ${i[n]};`);
-                    return (
-                        u.push(`
-      indices[${o - 1}] = offset;`),
-                        `
-      void ${e}(int offset, out int indices[${o}]) {
-        ${u.join('')}
-      }
-      `
-                    );
-                }
-                incrementIndices() {
-                    let e = {};
-                    return (
-                        this.context.programInfo.inputNames.forEach((o, i) => {
-                            let u = this.context.inputTextureLayouts[i].shape,
-                                n = u.length,
-                                s = `incrementIndices_${o}`,
-                                d = '';
-                            for (let r = 0; r < n; ++r)
-                                d += `
-        shape[${r}] = ${u[r]};`;
-                            let f = `
-        void ${s}(int axis, out int indices[${n}]) {
-          int shape[${n}];
-          ${d};
-          for(int i = ${n} -1 ; i >= 0; --i) {
-            if(i > axis) continue;
-            indices[i] += 1;
-            if(indices[i] < shape[i]) {
-              break;
-            }
-            indices[i] = 0;
-          }
-        }
-        `;
-                            e[s] = new R(f);
-                        }),
-                        e
-                    );
-                }
-            });
-    }),
-    bo,
-    np = L(() => {
-        Vt(),
-            (bo = class extends pt {
-                constructor(t) {
-                    super(t);
-                }
-                getCustomTypes() {
-                    return {};
-                }
-                getFunctions() {
-                    return {
-                        ...this.binaryVecFunctions(),
-                        ...this.copyVec(),
-                        ...this.setVecItem(),
-                        ...this.getVecItem(),
-                    };
-                }
-                binaryVecFunctions() {
-                    let t = this.context.outputTextureLayout.shape.length,
-                        e = { add: '+=', sub: '-=', mul: '*=', div: '/=' },
-                        o = {};
-                    for (let i in e) {
-                        let u = `${i}Vec`,
-                            n = '';
-                        for (let d = 0; d < t; ++d)
-                            n += `
-          dest[${d}] ${e[i]} src[${d}];
-          `;
-                        let s = `
-        void ${u}(int src[${t}], out int dest[${t}]) {
-          ${n}
-        }
-        `;
-                        o[u] = new R(s);
-                    }
-                    return o;
-                }
-                copyVec() {
-                    let t = this.context.outputTextureLayout.shape.length,
-                        e = '';
-                    for (let i = 0; i < t; ++i)
-                        e += `
-        dest[${i}] = src[${i}];
-        `;
-                    let o = `
-      void copyVec(int src[${t}], out int dest[${t}]) {
-        ${e}
-      }
-      `;
-                    return { copyVec: new R(o) };
-                }
-                setVecItem() {
-                    let t = this.context.outputTextureLayout.shape.length,
-                        e = `
-        if(index < 0)
-            index =${t} + index;
-        if (index == 0)
-            m[0] = value;
-        `;
-                    for (let i = 1; i < t - 1; ++i)
-                        e += `
-        else if (index == ${i})
-            m[${i}] = value;
-            `;
-                    e += `
-        else
-            m[${t - 1}] = value;
-        `;
-                    let o = `
-      void setVecItem(out int m[${t}], int index, int value) {
-        ${e}
-      }
-        `;
-                    return { setVecItem: new R(o) };
-                }
-                getVecItem() {
-                    let t = this.context.outputTextureLayout.shape.length,
-                        e = `
-        if(index < 0)
-            index = ${t} + index;
-        if (index == 0)
-            return m[0];
-      `;
-                    for (let i = 1; i < t - 1; ++i)
-                        e += `
-        else if (index == ${i})
-            return m[${i}];
-      `;
-                    e += `
-        else
-            return m[${t - 1}];
-        `;
-                    let o = `
-      int getVecItem(int m[${t}], int index) {
-        ${e}
-      }
-    `;
-                    return { getVecItem: new R(o) };
-                }
-            });
-    }),
-    qi,
-    op = L(() => {
-        Qc(), ep(), tp(), rp(), np(), (qi = { encoding: po, fragcolor: ho, vec: bo, shapeUtils: mo, coordinates: co });
-    }),
-    go,
-    ip = L(() => {
-        Vt(),
-            Jc(),
-            op(),
-            xe(),
-            (go = class {
-                constructor(t, e, o, i) {
-                    (this.libs = {}),
-                        (this.glslLibRoutineDependencyGraph = {}),
-                        (this.context = new eo(t, e, o, i)),
-                        Object.keys(qi).forEach((n) => {
-                            let s = new qi[n](this.context);
-                            this.libs[n] = s;
-                        });
-                    let u = this.glslLibRoutineDependencyGraph;
-                    for (let n in this.libs) {
-                        let s = this.libs[n].getFunctions();
-                        for (let d in s) {
-                            let f = n + '.' + d,
-                                r;
-                            u[f]
-                                ? ((r = u[f]), (r.routineBody = s[d].routineBody))
-                                : ((r = new cn(f, s[d].routineBody)), (u[f] = r));
-                            let a = s[d].dependencies;
-                            if (a)
-                                for (let l = 0; l < a.length; ++l)
-                                    if (u[a[l]]) r.addDependency(u[a[l]]);
-                                    else {
-                                        let p = new cn(a[l]);
-                                        (u[a[l]] = p), r.addDependency(p);
-                                    }
-                        }
-                    }
-                }
-                preprocess() {
-                    let t = this.context.programInfo,
-                        e = t.shaderSource;
-                    return (
-                        this.context.programInfo.hasMain ||
-                            (e = `${e}
-      ${Ru(this.context.glContext.version, this.context.outputTextureLayout.shape.length)}`),
-                        (e = Kc(e)),
-                        `${Nu(this.context.glContext.version)}
-    ${this.getUniforms(t.inputNames, t.variables)}
-    ${this.getImports(e)}
-    ${e}`
-                    );
-                }
-                getImports(t) {
-                    let e = this.selectGlslLibRoutinesToBeIncluded(t);
-                    if (e.length === 0) return '';
-                    let o = '';
-                    for (let i = 0; i < e.length; ++i)
-                        if (e[i].routineBody)
-                            o +=
-                                e[i].routineBody +
-                                `
-`;
-                        else throw new Error(`Missing body for the Glsl Library routine: ${e[i].name}`);
-                    return o;
-                }
-                selectGlslLibRoutinesToBeIncluded(t) {
-                    let e = [];
-                    return (
-                        Object.keys(this.glslLibRoutineDependencyGraph).forEach((o) => {
-                            let i = o.split('.')[1];
-                            t.indexOf(i) !== -1 && e.push(this.glslLibRoutineDependencyGraph[o]);
-                        }),
-                        to.returnOrderedNodes(e)
-                    );
-                }
-                getUniforms(t, e) {
-                    let o = [];
-                    if (t) for (let i of t) o.push(`uniform sampler2D ${i};`);
-                    if (e)
-                        for (let i of e)
-                            o.push(`uniform ${i.type} ${i.name}${i.arrayLength ? `[${i.arrayLength}]` : ''};`);
-                    return o.join(`
-`);
-                }
-            });
-    }),
-    yo,
-    ap = L(() => {
-        vt(),
-            ut(),
-            ip(),
-            xe(),
-            (yo = class {
-                constructor(t, e, o) {
-                    (this.profiler = t),
-                        (this.glContext = e),
-                        (this.textureLayoutStrategy = o),
-                        (this.repo = new Map()),
-                        (this.attributesBound = !1);
-                }
-                getArtifact(t) {
-                    return this.repo.get(t);
-                }
-                setArtifact(t, e) {
-                    this.repo.set(t, e);
-                }
-                run(t, e, o) {
-                    this.profiler.event(
-                        'op',
-                        `ProgramManager.run ${t.programInfo.name ?? 'unknown kernel'}`,
-                        () => {
-                            let i = this.glContext.gl,
-                                u = t.program;
-                            i.useProgram(u);
-                            try {
-                                this.bindOutput(o),
-                                    this.attributesBound || this.bindAttributes(t.attribLocations),
-                                    this.bindUniforms(t.uniformLocations, t.programInfo.variables ?? [], e);
-                            } catch (n) {
-                                throw (ce.error('ProgramManager', t.programInfo.shaderSource), n);
-                            }
-                            this.profiler.event('backend', 'GlContext.draw()', () => {
-                                this.glContext.draw();
-                            });
-                        },
-                        this.glContext
-                    );
-                }
-                dispose() {
-                    this.vertexShader && this.glContext.deleteShader(this.vertexShader),
-                        this.repo.forEach((t) => this.glContext.deleteProgram(t.program));
-                }
-                build(t, e, o) {
-                    return this.profiler.event('backend', 'ProgramManager.build', () => {
-                        let i = new go(this.glContext, t, e, o),
-                            u = i.preprocess(),
-                            n = this.compile(u);
-                        return {
-                            programInfo: t,
-                            program: n,
-                            uniformLocations: this.getUniformLocations(
-                                n,
-                                i.context.programInfo.inputNames,
-                                i.context.programInfo.variables
-                            ),
-                            attribLocations: this.getAttribLocations(n),
-                        };
-                    });
-                }
-                compile(t) {
-                    if (!this.vertexShader) {
-                        ce.verbose('ProrgramManager', 'Compiling and caching Vertex shader for the first time');
-                        let i = Bu(this.glContext.version);
-                        this.vertexShader = this.glContext.compileShader(i, this.glContext.gl.VERTEX_SHADER);
-                    }
-                    Z.debug &&
-                        ce.verbose(
-                            'ProrgramManager',
-                            `FragShader:
-${t}
-`
-                        );
-                    let e = this.glContext.compileShader(t, this.glContext.gl.FRAGMENT_SHADER),
-                        o = this.glContext.createProgram(this.vertexShader, e);
-                    return this.glContext.deleteShader(e), o;
-                }
-                bindOutput(t) {
-                    let e = t.width,
-                        o = t.height;
-                    ce.verbose(
-                        'ProrgramManager',
-                        `Binding output texture to Framebuffer: w/h=${e}/${o}, shape=${t.shape}, type=${t.tensor.type}`
-                    ),
-                        this.glContext.attachFramebuffer(t.texture, e, o);
-                }
-                bindAttributes(t) {
-                    let e = t.position,
-                        o = t.textureCoord;
-                    this.glContext.setVertexAttributes(e, o), (this.attributesBound = !0);
-                }
-                bindUniforms(t, e, o) {
-                    let i = this.glContext.gl,
-                        u = 0;
-                    for (let { name: n, type: s, location: d, arrayLength: f } of t) {
-                        let r = e.find((a) => a.name === n)?.data;
-                        if (s !== 'sampler2D' && !r)
-                            throw new Error(`variable '${n}' does not have data defined in program info`);
-                        switch (s) {
-                            case 'sampler2D':
-                                this.bindTexture(o[u], d, u), u++;
-                                break;
-                            case 'float':
-                                f ? i.uniform1fv(d, r) : i.uniform1f(d, r);
-                                break;
-                            case 'int':
-                                f ? i.uniform1iv(d, r) : i.uniform1i(d, r);
-                                break;
-                            default:
-                                throw new Error(`Uniform not implemented: ${s}`);
-                        }
-                    }
-                }
-                bindTexture(t, e, o) {
-                    this.glContext.bindTextureToUniform(t.texture, o, e);
-                }
-                getAttribLocations(t) {
-                    return {
-                        position: this.getAttribLocation(t, 'position'),
-                        textureCoord: this.getAttribLocation(t, 'textureCoord'),
-                    };
-                }
-                getUniformLocations(t, e, o) {
-                    let i = [];
-                    if (e)
-                        for (let u of e)
-                            i.push({ name: u, type: 'sampler2D', location: this.getUniformLocation(t, u) });
-                    if (o) for (let u of o) i.push({ ...u, location: this.getUniformLocation(t, u.name) });
-                    return i;
-                }
-                getUniformLocation(t, e) {
-                    let o = this.glContext.gl.getUniformLocation(t, e);
-                    if (o === null) throw new Error(`Uniform ${e} not found.`);
-                    return o;
-                }
-                getAttribLocation(t, e) {
-                    return this.glContext.gl.getAttribLocation(t, e);
-                }
-            });
-    }),
-    To,
-    sp = L(() => {
-        ut(),
-            ln(),
-            (To = class {
-                constructor(t, e, o, i) {
-                    (this.glContext = t),
-                        (this.layoutStrategy = e),
-                        (this.profiler = o),
-                        (this.config = i),
-                        (this.pendingRead = new Map()),
-                        i.reuseTextures &&
-                            ((this.inUseTextures = new Map()),
-                            (this.idleTextures = new Map()),
-                            (this.textureLookup = new Map()));
-                }
-                createTextureFromLayout(t, e, o, i) {
-                    let u = this.toEncoderType(t),
-                        n = this.glContext.getEncoder(u, e.channels || 1, i);
-                    if (e.isPacked && i === 1) throw new Error('not implemented');
-                    let s = e.width,
-                        d = e.height,
-                        f,
-                        r;
-                    if (this.config.reuseTextures) {
-                        (f = `${s}x${d}_${n.format}_${n.internalFormat}_${n.textureType}`),
-                            (r = this.inUseTextures.get(f)),
-                            r || ((r = []), this.inUseTextures.set(f, r));
-                        let l = this.idleTextures.get(f);
-                        if (l && l.length > 0) {
-                            let p = l.pop();
-                            return (
-                                r.push(p),
-                                i === 1 && this.glContext.updateTexture(p, s, d, n, this.toTextureData(t, o)),
-                                p
-                            );
-                        }
-                    }
-                    ce.verbose('TextureManager', `Creating new texture of size ${e.width}x${e.height}`);
-                    let a = this.glContext.allocateTexture(s, d, n, this.toTextureData(t, o));
-                    return this.config.reuseTextures && (r.push(a), this.textureLookup.set(a, f)), a;
-                }
-                readTexture(t, e, o) {
-                    return (
-                        o || (o = 1),
-                        this.profiler.event('backend', 'TextureManager.readTexture', () => {
-                            let i = t.shape.reduce((n, s) => n * s) * o,
-                                u = this.glContext.readTexture(
-                                    t.texture,
-                                    t.width,
-                                    t.height,
-                                    i,
-                                    this.toEncoderType(e),
-                                    o
-                                );
-                            return this.toTensorData(e, u);
-                        })
-                    );
-                }
-                async readTextureAsync(t, e, o) {
-                    let i = t.tensor.dataId;
-                    if ((o || (o = 1), this.pendingRead.has(i))) {
-                        let u = this.pendingRead.get(i);
-                        return new Promise((n) => u?.push(n));
-                    }
-                    return this.profiler.event('backend', 'TextureManager.readTextureAsync', async () => {
-                        this.pendingRead.set(i, []);
-                        let u = t.shape.reduce((f, r) => f * r) * o;
-                        await this.glContext.createAndWaitForFence();
-                        let n = this.glContext.readTexture(t.texture, t.width, t.height, u, this.toEncoderType(e), o),
-                            s = this.toTensorData(e, n),
-                            d = this.pendingRead.get(i);
-                        return this.pendingRead.delete(i), d?.forEach((f) => f(s)), s;
-                    });
-                }
-                readUint8TextureAsFloat(t) {
-                    return this.profiler.event('backend', 'TextureManager.readUint8TextureAsFloat', () => {
-                        let e = t.shape.reduce((i, u) => i * u),
-                            o = this.glContext.readTexture(t.texture, t.width, t.height, e * 4, 'byte', 4);
-                        return new Float32Array(o.buffer, o.byteOffset, e);
-                    });
-                }
-                releaseTexture(t, e) {
-                    let o;
-                    if (this.config.reuseTextures && ((o = this.textureLookup.get(t.texture)), o)) {
-                        e && this.textureLookup.delete(o);
-                        let i = this.inUseTextures.get(o);
-                        if (i) {
-                            let u = i.indexOf(t.texture);
-                            if (u !== -1) {
-                                i.splice(u, 1);
-                                let n = this.idleTextures.get(o);
-                                n || ((n = []), this.idleTextures.set(o, n)), n.push(t.texture);
-                            }
-                        }
-                    }
-                    (!o || e) &&
-                        (ce.verbose('TextureManager', `Deleting texture of size ${t.width}x${t.height}`),
-                        this.glContext.deleteTexture(t.texture));
-                }
-                toTensorData(t, e) {
-                    switch (t) {
-                        case 'int16':
-                            return e instanceof Int16Array ? e : Int16Array.from(e);
-                        case 'int32':
-                            return e instanceof Int32Array ? e : Int32Array.from(e);
-                        case 'int8':
-                            return e instanceof Int8Array ? e : Int8Array.from(e);
-                        case 'uint16':
-                            return e instanceof Uint16Array ? e : Uint16Array.from(e);
-                        case 'uint32':
-                            return e instanceof Uint32Array ? e : Uint32Array.from(e);
-                        case 'uint8':
-                        case 'bool':
-                            return e instanceof Uint8Array ? e : Uint8Array.from(e);
-                        case 'float32':
-                            return e instanceof Float32Array ? e : Float32Array.from(e);
-                        case 'float64':
-                            return e instanceof Float64Array ? e : Float64Array.from(e);
-                        default:
-                            throw new Error(`TensorData type ${t} is not supported`);
-                    }
-                }
-                toTextureData(t, e) {
-                    if (e) return e instanceof Float32Array ? e : new Float32Array(e);
-                }
-                toEncoderType(t) {
-                    return 'float';
-                }
-                clearActiveTextures() {
-                    this.glContext.clearActiveTextures();
-                }
-            });
-    }),
-    xo,
-    up = L(() => {
-        ut(),
-            ws(),
-            Qu(),
-            Yc(),
-            ap(),
-            Hi(),
-            sp(),
-            (xo = class {
-                constructor(t, e) {
-                    (this.backend = t),
-                        (this.context = e),
-                        (this.layoutStrategy = new fo(t.glContext.maxTextureSize)),
-                        (this.programManager = new yo(this.context.profiler, t.glContext, this.layoutStrategy)),
-                        (this.textureManager = new To(t.glContext, this.layoutStrategy, this.context.profiler, {
-                            reuseTextures: t.textureCacheMode === 'full',
-                        })),
-                        (this.packedTextureDataCache = new Map()),
-                        (this.unpackedTextureDataCache = new Map()),
-                        (this.pack = t.pack),
-                        (this.pack2unpackMap = new Map()),
-                        (this.unpack2packMap = new Map());
-                }
-                createInferenceHandler() {
-                    return new Qn(this);
-                }
-                onGraphInitialized(t) {
-                    let e = t
-                        .getValues()
-                        .filter((o) => o.from === -1 && o.tensor)
-                        .map((o) => o.tensor.dataId);
-                    this.initializers = new Set(e);
-                }
-                isInitializer(t) {
-                    return this.initializers ? this.initializers.has(t) : !1;
-                }
-                addInitializer(t) {
-                    this.initializers.add(t);
-                }
-                getTextureData(t, e) {
-                    return e ? this.packedTextureDataCache.get(t) : this.unpackedTextureDataCache.get(t);
-                }
-                setTextureData(t, e, o = !1) {
-                    ce.verbose('WebGLSessionHandler', 'Storing Texture data in cache'),
-                        o ? this.packedTextureDataCache.set(t, e) : this.unpackedTextureDataCache.set(t, e);
-                }
-                dispose() {
-                    this.programManager.dispose(),
-                        this.textureManager.clearActiveTextures(),
-                        this.packedTextureDataCache.forEach((t) => this.textureManager.releaseTexture(t, !0)),
-                        (this.packedTextureDataCache = new Map()),
-                        this.unpackedTextureDataCache.forEach((t) => this.textureManager.releaseTexture(t, !0)),
-                        (this.unpackedTextureDataCache = new Map());
-                }
-                resolve(t, e, o) {
-                    let i = vs(t, e, jc);
-                    return { impl: i.opImpl, context: i.opInit ? i.opInit(t, o) : t };
-                }
-            });
-    });
-function Hb(t) {
-    let e = 0;
-    for (; e < t.length && t[e](); ++e);
-    return e - 1;
-}
-var hn,
-    lp = L(() => {
-        vt(),
-            ln(),
-            ln(),
-            Ft(),
-            (hn = class {
-                constructor(t, e) {
-                    (this.frameBufferBound = !1),
-                        (this.itemsToPoll = []),
-                        (this.gl = t),
-                        (this.version = e),
-                        this.getExtensions(),
-                        (this.vertexbuffer = this.createVertexbuffer()),
-                        (this.framebuffer = this.createFramebuffer()),
-                        this.queryVitalParameters();
-                }
-                allocateTexture(t, e, o, i) {
-                    let u = this.gl,
-                        n = u.createTexture();
-                    u.bindTexture(u.TEXTURE_2D, n),
-                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_MIN_FILTER, u.NEAREST),
-                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_MAG_FILTER, u.NEAREST),
-                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_WRAP_S, u.CLAMP_TO_EDGE),
-                        u.texParameteri(u.TEXTURE_2D, u.TEXTURE_WRAP_T, u.CLAMP_TO_EDGE);
-                    let s = i ? o.encode(i, t * e) : null;
-                    return (
-                        u.texImage2D(u.TEXTURE_2D, 0, o.internalFormat, t, e, 0, o.format, o.textureType, s),
-                        this.checkError(),
-                        n
-                    );
-                }
-                updateTexture(t, e, o, i, u) {
-                    let n = this.gl;
-                    n.bindTexture(n.TEXTURE_2D, t);
-                    let s = i.encode(u, e * o);
-                    n.texSubImage2D(n.TEXTURE_2D, 0, 0, 0, e, o, i.format, i.textureType, s), this.checkError();
-                }
-                attachFramebuffer(t, e, o) {
-                    let i = this.gl;
-                    i.bindTexture(i.TEXTURE_2D, t),
-                        i.bindFramebuffer(i.FRAMEBUFFER, this.framebuffer),
-                        i.framebufferTexture2D(i.FRAMEBUFFER, i.COLOR_ATTACHMENT0, i.TEXTURE_2D, t, 0),
-                        this.checkError(),
-                        i.viewport(0, 0, e, o),
-                        i.scissor(0, 0, e, o);
-                }
-                readTexture(t, e, o, i, u, n) {
-                    let s = this.gl;
-                    n || (n = 1), this.frameBufferBound || this.attachFramebuffer(t, e, o);
-                    let d = this.getEncoder(u, n),
-                        f = d.allocate(e * o);
-                    return (
-                        s.bindTexture(s.TEXTURE_2D, t),
-                        s.framebufferTexture2D(s.FRAMEBUFFER, s.COLOR_ATTACHMENT0, s.TEXTURE_2D, t, 0),
-                        s.readPixels(0, 0, e, o, s.RGBA, d.textureType, f),
-                        this.checkError(),
-                        d.decode(f, i)
-                    );
-                }
-                isFramebufferReady() {
-                    return !0;
-                }
-                getActiveTexture() {
-                    let t = this.gl;
-                    return `TEXTURE${t.getParameter(this.gl.ACTIVE_TEXTURE) - t.TEXTURE0}`;
-                }
-                getTextureBinding() {
-                    return this.gl.getParameter(this.gl.TEXTURE_BINDING_2D);
-                }
-                getFramebufferBinding() {
-                    return this.gl.getParameter(this.gl.FRAMEBUFFER_BINDING);
-                }
-                setVertexAttributes(t, e) {
-                    let o = this.gl;
-                    o.vertexAttribPointer(t, 3, o.FLOAT, !1, 20, 0),
-                        o.enableVertexAttribArray(t),
-                        e !== -1 && (o.vertexAttribPointer(e, 2, o.FLOAT, !1, 20, 12), o.enableVertexAttribArray(e)),
-                        this.checkError();
-                }
-                createProgram(t, e) {
-                    let o = this.gl,
-                        i = o.createProgram();
-                    return o.attachShader(i, t), o.attachShader(i, e), o.linkProgram(i), i;
-                }
-                compileShader(t, e) {
-                    let o = this.gl,
-                        i = o.createShader(e);
-                    if (!i) throw new Error(`createShader() returned null with type ${e}`);
-                    if ((o.shaderSource(i, t), o.compileShader(i), o.getShaderParameter(i, o.COMPILE_STATUS) === !1))
-                        throw new Error(`Failed to compile shader: ${o.getShaderInfoLog(i)}
-Shader source:
-${t}`);
-                    return i;
-                }
-                deleteShader(t) {
-                    this.gl.deleteShader(t);
-                }
-                bindTextureToUniform(t, e, o) {
-                    let i = this.gl;
-                    i.activeTexture(i.TEXTURE0 + e),
-                        this.checkError(),
-                        i.bindTexture(i.TEXTURE_2D, t),
-                        this.checkError(),
-                        i.uniform1i(o, e),
-                        this.checkError();
-                }
-                draw() {
-                    this.gl.drawArrays(this.gl.TRIANGLE_STRIP, 0, 4), this.checkError();
-                }
-                checkError() {
-                    if (Z.debug) {
-                        let t = this.gl,
-                            e = t.getError(),
-                            o = '';
-                        switch (e) {
-                            case t.NO_ERROR:
-                                return;
-                            case t.INVALID_ENUM:
-                                o = 'INVALID_ENUM';
-                                break;
-                            case t.INVALID_VALUE:
-                                o = 'INVALID_VALUE';
-                                break;
-                            case t.INVALID_OPERATION:
-                                o = 'INVALID_OPERATION';
-                                break;
-                            case t.INVALID_FRAMEBUFFER_OPERATION:
-                                o = 'INVALID_FRAMEBUFFER_OPERATION';
-                                break;
-                            case t.OUT_OF_MEMORY:
-                                o = 'OUT_OF_MEMORY';
-                                break;
-                            case t.CONTEXT_LOST_WEBGL:
-                                o = 'CONTEXT_LOST_WEBGL';
-                                break;
-                            default:
-                                o = `Unknown WebGL Error: ${e.toString(16)}`;
-                        }
-                        throw new Error(o);
-                    }
-                }
-                deleteTexture(t) {
-                    this.gl.deleteTexture(t);
-                }
-                deleteProgram(t) {
-                    this.gl.deleteProgram(t);
-                }
-                getEncoder(t, e, o = 0) {
-                    if (this.version === 2) return new Jn(this.gl, e);
-                    switch (t) {
-                        case 'float':
-                            return o === 1 || this.isRenderFloat32Supported
-                                ? new un(this.gl, e)
-                                : new un(this.gl, e, this.textureHalfFloatExtension.HALF_FLOAT_OES);
-                        case 'int':
-                            throw new Error('not implemented');
-                        case 'byte':
-                            return new Zn(this.gl, e);
-                        default:
-                            throw new Error(`Invalid dataType: ${t}`);
-                    }
-                }
-                clearActiveTextures() {
-                    let t = this.gl;
-                    for (let e = 0; e < this.maxTextureImageUnits; ++e)
-                        t.activeTexture(t.TEXTURE0 + e), t.bindTexture(t.TEXTURE_2D, null);
-                }
-                dispose() {
-                    if (this.disposed) return;
-                    let t = this.gl;
-                    t.bindFramebuffer(t.FRAMEBUFFER, null),
-                        t.deleteFramebuffer(this.framebuffer),
-                        t.bindBuffer(t.ARRAY_BUFFER, null),
-                        t.deleteBuffer(this.vertexbuffer),
-                        t.bindBuffer(t.ELEMENT_ARRAY_BUFFER, null),
-                        t.finish(),
-                        (this.disposed = !0);
-                }
-                createDefaultGeometry() {
-                    return new Float32Array([-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);
-                }
-                createVertexbuffer() {
-                    let t = this.gl,
-                        e = t.createBuffer();
-                    if (!e) throw new Error('createBuffer() returned null');
-                    let o = this.createDefaultGeometry();
-                    return (
-                        t.bindBuffer(t.ARRAY_BUFFER, e),
-                        t.bufferData(t.ARRAY_BUFFER, o, t.STATIC_DRAW),
-                        this.checkError(),
-                        e
-                    );
-                }
-                createFramebuffer() {
-                    let t = this.gl.createFramebuffer();
-                    if (!t) throw new Error('createFramebuffer returned null');
-                    return t;
-                }
-                queryVitalParameters() {
-                    let t = this.gl;
-                    if (
-                        ((this.isFloatTextureAttachableToFrameBuffer = this.checkFloatTextureAttachableToFrameBuffer()),
-                        (this.isRenderFloat32Supported = this.checkRenderFloat32()),
-                        (this.isFloat32DownloadSupported = this.checkFloat32Download()),
-                        this.version === 1 && !this.textureHalfFloatExtension && !this.isRenderFloat32Supported)
-                    )
-                        throw new Error('both float32 and float16 TextureType are not supported');
-                    (this.isBlendSupported = !this.isRenderFloat32Supported || this.checkFloat32Blend()),
-                        (this.maxTextureSize = t.getParameter(t.MAX_TEXTURE_SIZE)),
-                        (this.maxTextureImageUnits = t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)),
-                        this.version;
-                }
-                getExtensions() {
-                    this.version === 2
-                        ? ((this.colorBufferFloatExtension = this.gl.getExtension('EXT_color_buffer_float')),
-                          (this.disjointTimerQueryWebgl2Extension = this.gl.getExtension(
-                              'EXT_disjoint_timer_query_webgl2'
-                          )))
-                        : ((this.textureFloatExtension = this.gl.getExtension('OES_texture_float')),
-                          (this.textureHalfFloatExtension = this.gl.getExtension('OES_texture_half_float')));
-                }
-                checkFloatTextureAttachableToFrameBuffer() {
-                    let t = this.gl,
-                        e = t.createTexture();
-                    t.bindTexture(t.TEXTURE_2D, e);
-                    let o = this.version === 2 ? t.RGBA32F : t.RGBA;
-                    t.texImage2D(t.TEXTURE_2D, 0, o, 1, 1, 0, t.RGBA, t.FLOAT, null);
-                    let i = t.createFramebuffer();
-                    t.bindFramebuffer(t.FRAMEBUFFER, i),
-                        t.framebufferTexture2D(t.FRAMEBUFFER, t.COLOR_ATTACHMENT0, t.TEXTURE_2D, e, 0);
-                    let u = t.checkFramebufferStatus(t.FRAMEBUFFER) === t.FRAMEBUFFER_COMPLETE;
-                    return (
-                        t.bindTexture(t.TEXTURE_2D, null),
-                        t.bindFramebuffer(t.FRAMEBUFFER, null),
-                        t.deleteTexture(e),
-                        t.deleteFramebuffer(i),
-                        u
-                    );
-                }
-                checkRenderFloat32() {
-                    if (this.version === 2) {
-                        if (!this.colorBufferFloatExtension) return !1;
-                    } else if (!this.textureFloatExtension) return !1;
-                    return this.isFloatTextureAttachableToFrameBuffer;
-                }
-                checkFloat32Download() {
-                    if (this.version === 2) {
-                        if (!this.colorBufferFloatExtension) return !1;
-                    } else if (!this.textureFloatExtension || !this.gl.getExtension('WEBGL_color_buffer_float'))
-                        return !1;
-                    return this.isFloatTextureAttachableToFrameBuffer;
-                }
-                checkFloat32Blend() {
-                    let t = this.gl,
-                        e,
-                        o,
-                        i,
-                        u,
-                        n;
-                    try {
-                        (e = t.createTexture()), (o = t.createFramebuffer()), t.bindTexture(t.TEXTURE_2D, e);
-                        let s = this.version === 2 ? t.RGBA32F : t.RGBA;
-                        return (
-                            t.texImage2D(t.TEXTURE_2D, 0, s, 1, 1, 0, t.RGBA, t.FLOAT, null),
-                            t.bindFramebuffer(t.FRAMEBUFFER, o),
-                            t.framebufferTexture2D(t.FRAMEBUFFER, t.COLOR_ATTACHMENT0, t.TEXTURE_2D, e, 0),
-                            t.enable(t.BLEND),
-                            (i = t.createShader(t.VERTEX_SHADER)),
-                            !i ||
-                            (t.shaderSource(i, 'void main(){}'),
-                            t.compileShader(i),
-                            (u = t.createShader(t.FRAGMENT_SHADER)),
-                            !u) ||
-                            (t.shaderSource(u, 'precision highp float;void main(){gl_FragColor=vec4(0.5);}'),
-                            t.compileShader(u),
-                            (n = t.createProgram()),
-                            !n)
-                                ? !1
-                                : (t.attachShader(n, i),
-                                  t.attachShader(n, u),
-                                  t.linkProgram(n),
-                                  t.useProgram(n),
-                                  t.drawArrays(t.POINTS, 0, 1),
-                                  t.getError() === t.NO_ERROR)
-                        );
-                    } finally {
-                        t.disable(t.BLEND),
-                            n && t.deleteProgram(n),
-                            i && t.deleteShader(i),
-                            u && t.deleteShader(u),
-                            o && (t.bindFramebuffer(t.FRAMEBUFFER, null), t.deleteFramebuffer(o)),
-                            e && (t.bindTexture(t.TEXTURE_2D, null), t.deleteTexture(e));
-                    }
-                }
-                beginTimer() {
-                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
-                        let t = this.gl,
-                            e = this.disjointTimerQueryWebgl2Extension,
-                            o = t.createQuery();
-                        return t.beginQuery(e.TIME_ELAPSED_EXT, o), o;
-                    } else throw new Error('WebGL1 profiling currently not supported.');
-                }
-                endTimer() {
-                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
-                        let t = this.gl,
-                            e = this.disjointTimerQueryWebgl2Extension;
-                        t.endQuery(e.TIME_ELAPSED_EXT);
-                        return;
-                    } else throw new Error('WebGL1 profiling currently not supported');
-                }
-                isTimerResultAvailable(t) {
-                    let e = !1,
-                        o = !1;
-                    if (this.version === 2 && this.disjointTimerQueryWebgl2Extension) {
-                        let i = this.gl,
-                            u = this.disjointTimerQueryWebgl2Extension;
-                        (e = i.getQueryParameter(t, i.QUERY_RESULT_AVAILABLE)),
-                            (o = i.getParameter(u.GPU_DISJOINT_EXT));
-                    } else throw new Error('WebGL1 profiling currently not supported');
-                    return e && !o;
-                }
-                getTimerResult(t) {
-                    let e = 0;
-                    if (this.version === 2) {
-                        let o = this.gl;
-                        (e = o.getQueryParameter(t, o.QUERY_RESULT)), o.deleteQuery(t);
-                    } else throw new Error('WebGL1 profiling currently not supported');
-                    return e / 1e6;
-                }
-                async waitForQueryAndGetTime(t) {
-                    return await gi(() => this.isTimerResultAvailable(t)), this.getTimerResult(t);
-                }
-                async createAndWaitForFence() {
-                    let t = this.createFence(this.gl);
-                    return this.pollFence(t);
-                }
-                createFence(t) {
-                    let e,
-                        o = t,
-                        i = o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE, 0);
-                    return (
-                        t.flush(),
-                        i === null
-                            ? (e = () => !0)
-                            : (e = () => {
-                                  let u = o.clientWaitSync(i, 0, 0);
-                                  return u === o.ALREADY_SIGNALED || u === o.CONDITION_SATISFIED;
-                              }),
-                        { query: i, isFencePassed: e }
-                    );
-                }
-                async pollFence(t) {
-                    return new Promise((e) => {
-                        this.addItemToPoll(
-                            () => t.isFencePassed(),
-                            () => e()
-                        );
-                    });
-                }
-                pollItems() {
-                    let t = Hb(this.itemsToPoll.map((e) => e.isDoneFn));
-                    for (let e = 0; e <= t; ++e) {
-                        let { resolveFn: o } = this.itemsToPoll[e];
-                        o();
-                    }
-                    this.itemsToPoll = this.itemsToPoll.slice(t + 1);
-                }
-                async addItemToPoll(t, e) {
-                    this.itemsToPoll.push({ isDoneFn: t, resolveFn: e }),
-                        !(this.itemsToPoll.length > 1) &&
-                            (await gi(() => (this.pollItems(), this.itemsToPoll.length === 0)));
-                }
-            });
-    });
-function ji(t) {
-    let e;
-    if (
-        ((!t || t === 'webgl2') && 'webgl2' in Ur
-            ? (e = Ur.webgl2)
-            : (!t || t === 'webgl') && 'webgl' in Ur && (e = Ur.webgl),
-        !e)
-    )
-        try {
-            let i = jb();
-            e = fp(i, t);
-        } catch {
-            let i = qb();
-            e = fp(i, t);
-        }
-    t = t || e.version === 1 ? 'webgl' : 'webgl2';
-    let o = e.gl;
-    return (
-        (Ur[t] = e),
-        o.isContextLost()
-            ? (delete Ur[t], ji(t))
-            : (o.disable(o.DEPTH_TEST),
-              o.disable(o.STENCIL_TEST),
-              o.disable(o.BLEND),
-              o.disable(o.DITHER),
-              o.disable(o.POLYGON_OFFSET_FILL),
-              o.disable(o.SAMPLE_COVERAGE),
-              o.enable(o.SCISSOR_TEST),
-              o.enable(o.CULL_FACE),
-              o.cullFace(o.BACK),
-              e)
-    );
-}
-function fp(t, e) {
-    let o = {
-            alpha: !1,
-            depth: !1,
-            antialias: !1,
-            stencil: !1,
-            preserveDrawingBuffer: !1,
-            premultipliedAlpha: !1,
-            failIfMajorPerformanceCaveat: !1,
-        },
-        i,
-        u = o;
-    if ((!e || e === 'webgl2') && ((i = t.getContext('webgl2', u)), i))
-        try {
-            return new hn(i, 2);
-        } catch (n) {
-            ce.warning('GlContextFactory', `failed to create WebGLContext using contextId 'webgl2'. Error: ${n}`);
-        }
-    if ((!e || e === 'webgl') && ((i = t.getContext('webgl', u) || t.getContext('experimental-webgl', u)), i))
-        try {
-            return new hn(i, 1);
-        } catch (n) {
-            ce.warning(
-                'GlContextFactory',
-                `failed to create WebGLContext using contextId 'webgl' or 'experimental-webgl'. Error: ${n}`
-            );
-        }
-    throw new Error('WebGL is not supported');
-}
-function qb() {
-    if (typeof document > 'u') throw new TypeError('failed to create canvas: document is not supported');
-    let t = document.createElement('canvas');
-    return (t.width = 1), (t.height = 1), t;
-}
-function jb() {
-    if (typeof OffscreenCanvas > 'u')
-        throw new TypeError('failed to create offscreen canvas: OffscreenCanvas is not supported');
-    return new OffscreenCanvas(1, 1);
-}
-var Ur,
-    cp = L(() => {
-        ut(), lp(), (Ur = {});
-    }),
-    vo,
-    pp = L(() => {
-        vt(),
-            ut(),
-            up(),
-            cp(),
-            (vo = class {
-                get contextId() {
-                    return Z.webgl.contextId;
-                }
-                set contextId(t) {
-                    Z.webgl.contextId = t;
-                }
-                get matmulMaxBatchSize() {
-                    return Z.webgl.matmulMaxBatchSize;
-                }
-                set matmulMaxBatchSize(t) {
-                    Z.webgl.matmulMaxBatchSize = t;
-                }
-                get textureCacheMode() {
-                    return Z.webgl.textureCacheMode;
-                }
-                set textureCacheMode(t) {
-                    Z.webgl.textureCacheMode = t;
-                }
-                get pack() {
-                    return Z.webgl.pack;
-                }
-                set pack(t) {
-                    Z.webgl.pack = t;
-                }
-                get async() {
-                    return Z.webgl.async;
-                }
-                set async(t) {
-                    Z.webgl.async = t;
-                }
-                initialize() {
-                    try {
-                        return (
-                            (this.glContext = ji(this.contextId)),
-                            typeof this.matmulMaxBatchSize != 'number' && (this.matmulMaxBatchSize = 16),
-                            typeof this.textureCacheMode != 'string' && (this.textureCacheMode = 'full'),
-                            typeof this.pack != 'boolean' && (this.pack = !1),
-                            typeof this.async != 'boolean' && (this.async = !1),
-                            ce.setWithEnv(Z),
-                            Z.webgl.context || Object.defineProperty(Z.webgl, 'context', { value: this.glContext.gl }),
-                            ce.verbose(
-                                'WebGLBackend',
-                                `Created WebGLContext: ${typeof this.glContext} with matmulMaxBatchSize: ${
-                                    this.matmulMaxBatchSize
-                                }; textureCacheMode: ${this.textureCacheMode}; pack: ${this.pack}; async: ${
-                                    this.async
-                                }.`
-                            ),
-                            !0
-                        );
-                    } catch (t) {
-                        return ce.warning('WebGLBackend', `Unable to initialize WebGLBackend. ${t}`), !1;
-                    }
-                }
-                createSessionHandler(t) {
-                    return new xo(this, t);
-                }
-                dispose() {
-                    this.glContext.dispose();
-                }
-            });
-    });
-async function Yi(t) {
-    if (t) {
-        let e = typeof t == 'string' ? [t] : t;
-        for (let o of e) {
-            let i = dp.get(o);
-            if (i) return i;
-            let u = await Xb(o);
-            if (u) return u;
-        }
-    } else return Yi(['webgl']);
-    throw new Error('no available backend to use');
-}
-async function Xb(t) {
-    let e = Yb;
-    if (typeof e[t] < 'u' && Kb(e[t])) {
-        let o = e[t],
-            i = o.initialize();
-        if ((typeof i == 'object' && 'then' in i && (i = await i), i)) return dp.set(t, o), o;
-    }
-}
-function Kb(t) {
-    let e = t;
-    return (
-        'initialize' in e &&
-        typeof e.initialize == 'function' &&
-        'createSessionHandler' in e &&
-        typeof e.createSessionHandler == 'function' &&
-        'dispose' in e &&
-        typeof e.dispose == 'function'
-    );
-}
-var dp,
-    Yb,
-    hp = L(() => {
-        pp(), (dp = new Map()), (Yb = { webgl: new vo() });
-    }),
-    Xi,
-    wo,
-    mp = L(() => {
-        ut(),
-            (Xi = class {
-                constructor(t, e) {
-                    (this.op = t), (this.node = e);
-                }
-            }),
-            (wo = class {
-                constructor(t, e, o) {
-                    (this.graph = t), (this.profiler = o), this.initialize(e);
-                }
-                initialize(t) {
-                    this.profiler.event('session', 'ExecutionPlan.initialize', () => {
-                        let e = this.graph.getNodes();
-                        if (e.length !== t.length) throw new Error('The size of nodes and OPs do not match.');
-                        (this._ops = t.map((o, i) => new Xi(o, e[i]))),
-                            this.reset(),
-                            (this._starter = []),
-                            this._ops.forEach((o, i) => {
-                                let u = !0;
-                                for (let n of o.node.inputs)
-                                    if (!this._values[n] && this.graph.getInputIndices().indexOf(n) === -1) {
-                                        u = !1;
-                                        break;
-                                    }
-                                u && this._starter.push(i);
-                            });
-                    });
-                }
-                reset() {
-                    this._values = this.graph.getValues().map((t) => t.tensor);
-                }
-                async execute(t, e) {
-                    return this.profiler.event('session', 'ExecutionPlan.execute', async () => {
-                        this.reset();
-                        let o = t.createInferenceHandler(),
-                            i = this.graph.getInputIndices();
-                        if (e.length !== i.length)
-                            throw new Error(
-                                `number of input tensors don't match the number of inputs to the model: actual: ${e.length} expected: ${i.length}`
-                            );
-                        e.forEach((r, a) => {
-                            let l = i[a];
-                            this._values[l] = r;
-                        });
-                        let u = this._starter.slice(0),
-                            n = this.graph.getValues(),
-                            s = this.graph.getNodes(),
-                            d = 0;
-                        for (; d < u.length; ) {
-                            let r = u[d++],
-                                a = this._ops[r],
-                                l = a.node.inputs.map((T) => this._values[T]);
-                            if (l.indexOf(void 0) !== -1) throw new Error(`unresolved input detected: op: ${a.node}`);
-                            let p = l;
-                            ce.verbose(
-                                'ExecPlan',
-                                `Runing op:${a.node.name} (${p
-                                    .map((T, v) => `'${a.node.inputs[v]}': ${T.type}[${T.dims.join(',')}]`)
-                                    .join(', ')})`
-                            );
-                            let m = await this.profiler.event('node', a.node.name, async () =>
-                                a.op.impl(o, p, a.op.context)
-                            );
-                            if (m.length !== a.node.outputs.length)
-                                throw new Error('the size of output does not match model definition.');
-                            m.forEach((T, v) => {
-                                let S = a.node.outputs[v];
-                                if (this._values[S])
-                                    throw new Error(`output [${S}] already has value: op:${a.node.name}`);
-                                this._values[S] = T;
-                            });
-                            let y = new Set();
-                            m.forEach((T, v) => {
-                                let S = a.node.outputs[v];
-                                for (let E of n[S].to) {
-                                    let A = s[E],
-                                        F = !0;
-                                    for (let B of A.inputs)
-                                        if (!this._values[B]) {
-                                            F = !1;
-                                            break;
-                                        }
-                                    F && y.add(E);
-                                }
-                            }),
-                                u.push(...y);
-                        }
-                        let f = [];
-                        for (let r = 0; r < this.graph.getOutputIndices().length; r++) {
-                            let a = this.graph.getOutputIndices()[r],
-                                l = this._values[a];
-                            if (l === void 0) throw new Error(`required output [${a}] does not have value`);
-                            a === 0 ? await l.getData() : l.data, f.push(l);
-                        }
-                        return ce.verbose('ExecPlan', 'disposing of inferenceHandler'), o.dispose(), f;
-                    });
-                }
-            });
-    }),
-    oe,
-    mt,
-    mn,
-    bp = L(() => {
-        tn(),
-            (oe = Er($r())),
-            mr(),
-            fe(),
-            (mt = W.experimental.fbs),
-            (mn = class vr {
-                constructor(e) {
-                    if (((this._attributes = new Map()), e != null)) {
-                        for (let o of e)
-                            o instanceof oe.onnx.AttributeProto
-                                ? this._attributes.set(o.name, [vr.getValue(o), vr.getType(o)])
-                                : o instanceof mt.Attribute &&
-                                  this._attributes.set(o.name(), [vr.getValue(o), vr.getType(o)]);
-                        if (this._attributes.size < e.length) throw new Error('duplicated attribute names');
-                    }
-                }
-                set(e, o, i) {
-                    this._attributes.set(e, [i, o]);
-                }
-                delete(e) {
-                    this._attributes.delete(e);
-                }
-                getFloat(e, o) {
-                    return this.get(e, 'float', o);
-                }
-                getInt(e, o) {
-                    return this.get(e, 'int', o);
-                }
-                getString(e, o) {
-                    return this.get(e, 'string', o);
-                }
-                getTensor(e, o) {
-                    return this.get(e, 'tensor', o);
-                }
-                getFloats(e, o) {
-                    return this.get(e, 'floats', o);
-                }
-                getInts(e, o) {
-                    return this.get(e, 'ints', o);
-                }
-                getStrings(e, o) {
-                    return this.get(e, 'strings', o);
-                }
-                getTensors(e, o) {
-                    return this.get(e, 'tensors', o);
-                }
-                get(e, o, i) {
-                    let u = this._attributes.get(e);
-                    if (u === void 0) {
-                        if (i !== void 0) return i;
-                        throw new Error(`required attribute not found: ${e}`);
-                    }
-                    if (u[1] !== o) throw new Error(`type mismatch: expected ${o} but got ${u[1]}`);
-                    return u[0];
-                }
-                static getType(e) {
-                    let o = e instanceof oe.onnx.AttributeProto ? e.type : e.type();
-                    switch (o) {
-                        case oe.onnx.AttributeProto.AttributeType.FLOAT:
-                            return 'float';
-                        case oe.onnx.AttributeProto.AttributeType.INT:
-                            return 'int';
-                        case oe.onnx.AttributeProto.AttributeType.STRING:
-                            return 'string';
-                        case oe.onnx.AttributeProto.AttributeType.TENSOR:
-                            return 'tensor';
-                        case oe.onnx.AttributeProto.AttributeType.FLOATS:
-                            return 'floats';
-                        case oe.onnx.AttributeProto.AttributeType.INTS:
-                            return 'ints';
-                        case oe.onnx.AttributeProto.AttributeType.STRINGS:
-                            return 'strings';
-                        case oe.onnx.AttributeProto.AttributeType.TENSORS:
-                            return 'tensors';
-                        default:
-                            throw new Error(
-                                `attribute type is not supported yet: ${oe.onnx.AttributeProto.AttributeType[o]}`
-                            );
-                    }
-                }
-                static getValue(e) {
-                    let o = e instanceof oe.onnx.AttributeProto ? e.type : e.type();
-                    if (
-                        o === oe.onnx.AttributeProto.AttributeType.GRAPH ||
-                        o === oe.onnx.AttributeProto.AttributeType.GRAPHS
-                    )
-                        throw new Error('graph attribute is not supported yet');
-                    let i = this.getValueNoCheck(e);
-                    if (o === oe.onnx.AttributeProto.AttributeType.INT && nt.isLong(i)) return nt.longToNumber(i);
-                    if (o === oe.onnx.AttributeProto.AttributeType.INTS) {
-                        let u = i,
-                            n = new Array(u.length);
-                        for (let s = 0; s < u.length; s++) {
-                            let d = u[s];
-                            n[s] = nt.longToNumber(d);
-                        }
-                        return n;
-                    }
-                    if (o === oe.onnx.AttributeProto.AttributeType.TENSOR)
-                        return e instanceof oe.onnx.AttributeProto ? Fe.fromProto(i) : Fe.fromOrtTensor(i);
-                    if (o === oe.onnx.AttributeProto.AttributeType.TENSORS) {
-                        if (e instanceof oe.onnx.AttributeProto) return i.map((u) => Fe.fromProto(u));
-                        if (e instanceof mt.Attribute) return i.map((u) => Fe.fromOrtTensor(u));
-                    }
-                    return o === oe.onnx.AttributeProto.AttributeType.STRING && e instanceof oe.onnx.AttributeProto
-                        ? sn(i)
-                        : o === oe.onnx.AttributeProto.AttributeType.STRINGS && e instanceof oe.onnx.AttributeProto
-                        ? i.map(sn)
-                        : i;
-                }
-                static getValueNoCheck(e) {
-                    return e instanceof oe.onnx.AttributeProto
-                        ? this.getValueNoCheckFromOnnxFormat(e)
-                        : this.getValueNoCheckFromOrtFormat(e);
-                }
-                static getValueNoCheckFromOnnxFormat(e) {
-                    switch (e.type) {
-                        case oe.onnx.AttributeProto.AttributeType.FLOAT:
-                            return e.f;
-                        case oe.onnx.AttributeProto.AttributeType.INT:
-                            return e.i;
-                        case oe.onnx.AttributeProto.AttributeType.STRING:
-                            return e.s;
-                        case oe.onnx.AttributeProto.AttributeType.TENSOR:
-                            return e.t;
-                        case oe.onnx.AttributeProto.AttributeType.GRAPH:
-                            return e.g;
-                        case oe.onnx.AttributeProto.AttributeType.FLOATS:
-                            return e.floats;
-                        case oe.onnx.AttributeProto.AttributeType.INTS:
-                            return e.ints;
-                        case oe.onnx.AttributeProto.AttributeType.STRINGS:
-                            return e.strings;
-                        case oe.onnx.AttributeProto.AttributeType.TENSORS:
-                            return e.tensors;
-                        case oe.onnx.AttributeProto.AttributeType.GRAPHS:
-                            return e.graphs;
-                        default:
-                            throw new Error(
-                                `unsupported attribute type: ${oe.onnx.AttributeProto.AttributeType[e.type]}`
-                            );
-                    }
-                }
-                static getValueNoCheckFromOrtFormat(e) {
-                    switch (e.type()) {
-                        case mt.AttributeType.FLOAT:
-                            return e.f();
-                        case mt.AttributeType.INT:
-                            return e.i();
-                        case mt.AttributeType.STRING:
-                            return e.s();
-                        case mt.AttributeType.TENSOR:
-                            return e.t();
-                        case mt.AttributeType.GRAPH:
-                            return e.g();
-                        case mt.AttributeType.FLOATS:
-                            return e.floatsArray();
-                        case mt.AttributeType.INTS: {
-                            let o = [];
-                            for (let i = 0; i < e.intsLength(); i++) o.push(e.ints(i));
-                            return o;
-                        }
-                        case mt.AttributeType.STRINGS: {
-                            let o = [];
-                            for (let i = 0; i < e.stringsLength(); i++) o.push(e.strings(i));
-                            return o;
-                        }
-                        case mt.AttributeType.TENSORS: {
-                            let o = [];
-                            for (let i = 0; i < e.tensorsLength(); i++) o.push(e.tensors(i));
-                            return o;
-                        }
-                        default:
-                            throw new Error(`unsupported attribute type: ${mt.AttributeType[e.type()]}`);
-                    }
-                }
-            });
-    }),
-    Ji,
-    _o,
-    Zi,
-    kt,
-    Oo,
-    Ki,
-    gp = L(() => {
-        bp(),
-            tn(),
-            (Ji = Er($r())),
-            mr(),
-            fe(),
-            (_o = W.experimental.fbs),
-            (Zi = { from: (t, e) => new Ki(t, e) }),
-            (kt = class {
-                constructor(t) {
-                    (this._from = void 0),
-                        (this._to = []),
-                        (this.tensor = void 0),
-                        (this.type = void 0),
-                        t && (this.type = Ve.tensorValueTypeFromProto(t.type.tensorType));
-                }
-                get from() {
-                    return this._from;
-                }
-                get to() {
-                    return this._to;
-                }
-            }),
-            (Oo = class {
-                constructor(t, e) {
-                    t instanceof Ji.onnx.NodeProto
-                        ? ((this.name = t.name), (this.opType = t.opType), (this.attributes = new mn(t.attribute)))
-                        : t instanceof _o.Node &&
-                          ((this.name = e ?? t.name()),
-                          (this.opType = t.opType()),
-                          (this.attributes = new mn(Ve.tensorAttributesFromORTFormat(t)))),
-                        (this.inputs = []),
-                        (this.outputs = []),
-                        (this.executeNode = !0);
-                }
-            }),
-            (Ki = class {
-                constructor(t, e) {
-                    if (!t) throw new TypeError('graph is empty');
-                    this.buildGraph(t), this.transformGraph(e), this.checkIsAcyclic();
-                }
-                getInputIndices() {
-                    return this._allInputIndices;
-                }
-                getInputNames() {
-                    return this._allInputNames;
-                }
-                getOutputIndices() {
-                    return this._allOutputIndices;
-                }
-                getOutputNames() {
-                    return this._allOutputNames;
-                }
-                getValues() {
-                    return this._allData;
-                }
-                getNodes() {
-                    return this._nodes;
-                }
-                buildGraph(t) {
-                    if (t instanceof Ji.onnx.GraphProto) this.buildGraphFromOnnxFormat(t);
-                    else if (t instanceof _o.Graph) this.buildGraphFromOrtFormat(t);
-                    else throw new TypeError('Graph type is not supported.');
-                }
-                buildGraphFromOnnxFormat(t) {
-                    let e = new Map();
-                    (this._allData = []),
-                        (this._allInputIndices = []),
-                        (this._allInputNames = []),
-                        (this._allOutputIndices = []),
-                        (this._allOutputNames = []),
-                        (this._nodes = []);
-                    let o = new Map();
-                    if (!t.input) throw new Error('missing information in graph: input');
-                    let i = [];
-                    for (let u of t.input) {
-                        if (e.has(u.name)) throw new Error(`duplicated input name: ${u.name}`);
-                        let n = this._allData.push(new kt(u)) - 1;
-                        e.set(u.name, n), i.push(u.name);
-                    }
-                    if (!t.initializer) throw new Error('missing information in graph: initializer');
-                    for (let u of t.initializer) {
-                        let n = e.get(u.name);
-                        if (n === void 0) {
-                            let s = new kt();
-                            (s.type = {
-                                shape: { dims: Ve.tensorDimsFromProto(u.dims) },
-                                tensorType: Ve.tensorDataTypeFromProto(u.dataType),
-                            }),
-                                (n = this._allData.push(s) - 1),
-                                e.set(u.name, n);
-                        }
-                        (this._allData[n]._from = -1), (this._allData[n].tensor = Fe.fromProto(u));
-                    }
-                    for (let u = 0; u < this._allData.length; u++)
-                        this._allData[u].tensor || (this._allInputIndices.push(u), this._allInputNames.push(i[u]));
-                    if (!t.output) throw new Error('missing information in graph: output');
-                    for (let u of t.output) {
-                        if (e.has(u.name)) throw new Error(`duplicated output name: ${u.name}`);
-                        let n = this._allData.push(new kt(u)) - 1;
-                        e.set(u.name, n), this._allOutputIndices.push(n), this._allOutputNames.push(u.name);
-                    }
-                    if (!t.node) throw new Error('missing information in graph: node');
-                    for (let u of t.node) {
-                        if (!u.name)
-                            for (let s = 0; ; s++) {
-                                let d = `unnamed_${u.opType}_${s}`;
-                                if (!o.has(d)) {
-                                    u.name = d;
-                                    break;
-                                }
-                            }
-                        if (o.has(u.name)) throw new Error(`duplicated node name: ${u.name}`);
-                        let n = this._nodes.push(new Oo(u)) - 1;
-                        o.set(u.name, n);
-                    }
-                    for (let u = 0; u < this._nodes.length; u++) {
-                        let n = this._nodes[u],
-                            s = t.node[u];
-                        if (!s.output) throw new Error(`missing output for node: ${s.name}`);
-                        for (let d of s.output) {
-                            let f = e.get(d);
-                            if (
-                                (typeof f > 'u' && ((f = this._allData.push(new kt()) - 1), e.set(d, f)),
-                                n.outputs.push(f),
-                                this._allData[f]._from !== void 0)
-                            )
-                                throw new Error(`multiple nodes output to one data value: ${f}`);
-                            if (((this._allData[f]._from = u), s.opType === 'Constant')) {
-                                if (!s.attribute || s.attribute.length !== 1 || !s.attribute[0].t)
-                                    throw new Error(
-                                        'missing attributes or missing tensor value in attributes for this Constant operator'
-                                    );
-                                if (!s.output || s.output.length !== 1)
-                                    throw new Error(
-                                        'missing output or incorrect number of outputs for this Constant operator'
-                                    );
-                                n.outputs.pop(),
-                                    (n.executeNode = !1),
-                                    (this._allData[f]._from = -1),
-                                    (this._allData[f].tensor = Fe.fromProto(s.attribute[0].t));
-                            }
-                        }
-                    }
-                    for (let u = 0; u < this._nodes.length; u++) {
-                        let n = this._nodes[u],
-                            s = t.node[u];
-                        if (!s.input) throw new Error(`missing input for node: ${s.name}`);
-                        for (let d of s.input) {
-                            let f = e.get(d);
-                            if (typeof f > 'u') {
-                                if (d === '' && (s.input.length === 3 || s.input.length === 4) && s.opType === 'Resize')
-                                    continue;
-                                throw new Error(`unrecognized input '${d}' for node: ${s.name}`);
-                            }
-                            n.inputs.push(f), this._allData[f]._to.push(u);
-                        }
-                    }
-                    return !0;
-                }
-                buildGraphFromOrtFormat(t) {
-                    let e = new Map();
-                    (this._allData = []),
-                        (this._allInputIndices = []),
-                        (this._allInputNames = []),
-                        (this._allOutputIndices = []),
-                        (this._allOutputNames = []),
-                        (this._nodes = []);
-                    let o = new Map(),
-                        i = [];
-                    for (let u = 0; u < t.inputsLength(); u++) {
-                        let n = t.inputs(u);
-                        if (e.has(n)) throw new Error(`duplicated input name: ${n}`);
-                        for (let s = 0; s < t.nodeArgsLength(); s++)
-                            if (t.nodeArgs(s)?.name() === n) {
-                                let d = new kt();
-                                if (t.nodeArgs(s)?.type()?.valueType() !== _o.TypeInfoValue.tensor_type)
-                                    throw new Error('Unexpected value type for the nodeArg.');
-                                let f = t.nodeArgs(s).type().value(new _o.TensorTypeAndShape()),
-                                    r = Ve.tensorDataTypeFromProto(f.elemType()),
-                                    a = f.shape(),
-                                    l = [];
-                                for (let m = 0; m < a.dimLength(); m++)
-                                    l.push(nt.longToNumber(a.dim(m).value().dimValue()));
-                                d.type = { shape: { dims: l }, tensorType: r };
-                                let p = this._allData.push(d) - 1;
-                                e.set(n, p), i.push(n);
-                            }
-                    }
-                    for (let u = 0; u < t.initializersLength(); u++) {
-                        let n = t.initializers(u),
-                            s = e.get(n.name());
-                        if (s === void 0) {
-                            let d = new kt(),
-                                f = Ve.tensorDimsFromORTFormat(n),
-                                r = Ve.tensorDataTypeFromProto(n.dataType());
-                            (d.type = { shape: { dims: f }, tensorType: r }),
-                                (s = this._allData.push(d) - 1),
-                                e.set(n.name(), s);
-                        }
-                        (this._allData[s]._from = -1), (this._allData[s].tensor = Fe.fromOrtTensor(n));
-                    }
-                    for (let u = 0; u < this._allData.length; u++)
-                        this._allData[u].tensor || (this._allInputIndices.push(u), this._allInputNames.push(i[u]));
-                    for (let u = 0; u < t.outputsLength(); u++) {
-                        let n = t.outputs(u);
-                        if (e.has(n)) throw new Error(`duplicated output name: ${n}`);
-                        let s = this._allData.push(new kt()) - 1;
-                        e.set(n, s), this._allOutputIndices.push(s), this._allOutputNames.push(n);
-                    }
-                    if (!t.nodes) throw new Error('missing information in graph: node');
-                    for (let u = 0; u < t.nodesLength(); u++) {
-                        let n = t.nodes(u),
-                            s = n.name();
-                        if (!s) for (let f = 0; (s = `unnamed_${n.opType()}_${f}`), !!o.has(s); f++);
-                        if (o.has(s)) throw new Error(`duplicated node name: ${s}`);
-                        let d = this._nodes.push(new Oo(n, s)) - 1;
-                        o.set(s, d);
-                    }
-                    for (let u = 0; u < this._nodes.length; u++) {
-                        let n = this._nodes[u],
-                            s = t.nodes(u);
-                        if (s == null) throw new Error(`No node exists at index ${u}`);
-                        if (s?.outputsLength() === 0) throw new Error(`missing output for node: ${s.name}`);
-                        for (let d = 0; d < s?.outputsLength(); d++) {
-                            let f = s?.outputs(d),
-                                r = e.get(f);
-                            if (
-                                (typeof r > 'u' && ((r = this._allData.push(new kt()) - 1), e.set(f, r)),
-                                n.outputs.push(r),
-                                this._allData[r]._from !== void 0)
-                            )
-                                throw new Error(`multiple nodes output to one data value: ${r}`);
-                            if (((this._allData[r]._from = u), s.opType() === 'Constant')) {
-                                if (s.attributesLength() !== 1 || !s.attributes(0).t())
-                                    throw new Error(
-                                        'missing attributes or missing tensor value in attributes for this Constant operator'
-                                    );
-                                if (s.outputsLength() !== 1)
-                                    throw new Error(
-                                        'missing output or incorrect number of outputs for this Constant operator'
-                                    );
-                                n.outputs.pop(),
-                                    (n.executeNode = !1),
-                                    (this._allData[r]._from = -1),
-                                    (this._allData[r].tensor = Fe.fromOrtTensor(s.attributes(0).t()));
-                            }
-                        }
-                    }
-                    for (let u = 0; u < this._nodes.length; u++) {
-                        let n = this._nodes[u],
-                            s = t.nodes(u);
-                        if (s.inputsLength() === 0) throw new Error(`missing input for node: ${s.name}`);
-                        for (let d = 0; d < s.inputsLength(); d++) {
-                            let f = s.inputs(d),
-                                r = e.get(f);
-                            if (typeof r > 'u') throw new Error(`unrecognized input '${f}' for node: ${s.name()}`);
-                            n.inputs.push(r), this._allData[r]._to.push(u);
-                        }
-                    }
-                }
-                checkIsAcyclic() {
-                    let t = new Set();
-                    this._allInputIndices.forEach((i) => {
-                        this._allData[i]._to.forEach((u) => {
-                            t.add(u);
-                        });
-                    });
-                    let e = Array.from(t),
-                        o = new Array(this._nodes.length).fill('white');
-                    for (; e.length > 0; ) {
-                        let i = e.pop();
-                        o[i] === 'gray'
-                            ? (o[i] = 'black')
-                            : (e.push(i),
-                              (o[i] = 'gray'),
-                              this._nodes[i].outputs.forEach((u) => {
-                                  let n = this._allData[u];
-                                  if (typeof n.tensor < 'u') throw new Error('node outputs should not be initialized');
-                                  if (n._from !== i)
-                                      throw new Error(
-                                          "from property of the Value object doesn't match index of Node being processed"
-                                      );
-                                  n._to.forEach((s) => {
-                                      if (o[s] === 'gray') throw new Error('model graph is cyclic');
-                                      o[s] === 'white' && e.push(s);
-                                  });
-                              }));
-                    }
-                }
-                transformGraph(t) {
-                    this.removeAllIdentityNodes(),
-                        this.removeAllDropoutNodes(),
-                        this.fuseConvActivationNodes(),
-                        t && t.transformGraph(this),
-                        this.finalizeGraph();
-                }
-                finalizeGraph() {
-                    let t = 0,
-                        e = new Array(this._nodes.length, 0),
-                        o = 0;
-                    for (let i = 0; i < this._nodes.length; i++)
-                        (e[i] = o),
-                            this._nodes[i].executeNode
-                                ? (o !== i && (this._nodes[o] = this._nodes[i]), o++)
-                                : this._nodes[i].outputs.forEach((u) => {
-                                      this._allData[u]._from = -2;
-                                  });
-                    this._nodes.splice(o, this._nodes.length - o);
-                    for (let i = 0; i < this._allData.length; i++) {
-                        let u = this._allData[i];
-                        u._from !== void 0 && u._from !== -1 && u._from !== -2 && (u._from = e[u._from]);
-                        for (let n = 0; n < u._to.length; n++)
-                            if (u._to[n] >= 0) u._to[n] = e[u._to[n]];
-                            else throw new Error('Trying to update a removed node');
-                    }
-                    t = 0;
-                    for (let i = 0; i < this._allData.length; i++) {
-                        if (this._allData[i].from === -2 && this._allOutputIndices.indexOf(i + t) === -1) {
-                            t++, this._allData.splice(i, 1), i--;
-                            continue;
-                        }
-                        if (t > 0) {
-                            let u = -1;
-                            this._allData[i].from !== void 0 && this._allData[i].from !== -1
-                                ? ((u = this._nodes[this._allData[i].from].outputs.indexOf(i + t)),
-                                  u !== -1 && (this._nodes[this._allData[i].from].outputs[u] = i))
-                                : ((u = this._allInputIndices.indexOf(i + t)),
-                                  u !== -1 && (this._allInputIndices[u] = i)),
-                                this._allData[i].to.forEach((n) => {
-                                    (u = this._nodes[n].inputs.indexOf(i + t)),
-                                        u !== -1 && (this._nodes[n].inputs[u] = i);
-                                }),
-                                this._allData[i].to.length === 0 &&
-                                    ((u = this._allOutputIndices.indexOf(i + t)),
-                                    u !== -1 && (this._allOutputIndices[u] = i));
-                        }
-                    }
-                }
-                deleteNode(t) {
-                    let e = this._nodes[t];
-                    if (e.outputs.length > 1) {
-                        for (let s = 1; s < e.outputs.length; s++)
-                            if (this._allData[e.outputs[s]].to.length > 0)
-                                throw new Error(
-                                    'Node deletion with more than one output connected to other nodes is not supported. '
-                                );
-                    }
-                    e.executeNode = !1;
-                    let o = e.inputs[0],
-                        i = e.outputs[0],
-                        u = this._allData[i].to;
-                    for (let s = 0; s < e.inputs.length; s++) {
-                        let d = this._allData[e.inputs[s]].to.indexOf(t);
-                        if (d === -1)
-                            throw new Error("The Value object doesn't have the current Node in it's 'to' property ");
-                        this._allData[e.inputs[s]].to.splice(d, 1);
-                    }
-                    this._allData[i]._to = [];
-                    let n = this._allOutputIndices.indexOf(i);
-                    if ((n !== -1 && (this._allOutputIndices[n] = o), u && u.length > 0))
-                        for (let s of u) {
-                            let d = this._nodes[s].inputs.indexOf(i);
-                            if (d === -1)
-                                throw new Error(
-                                    "The Node object doesn't have the output Value in it's 'inputs' property "
-                                );
-                            (this._nodes[s].inputs[d] = o), this._allData[o].to.push(s);
-                        }
-                }
-                removeAllDropoutNodes() {
-                    let t = 0;
-                    for (let e of this._nodes) {
-                        if (e.opType === 'Dropout') {
-                            if (e.inputs.length !== 1) throw new Error('Dropout nodes should only contain one input. ');
-                            if (e.outputs.length !== 1 && e.outputs.length !== 2)
-                                throw new Error('Dropout nodes should contain either 1 or 2 output(s)');
-                            if (e.outputs.length === 2 && this._allData[e.outputs[1]]._to.length !== 0)
-                                throw new Error(
-                                    "Dropout nodes's second output should not be referenced by other nodes"
-                                );
-                            this.deleteNode(t);
-                        }
-                        t++;
-                    }
-                }
-                removeAllIdentityNodes() {
-                    let t = 0;
-                    for (let e of this._nodes) e.opType === 'Identity' && this.deleteNode(t), t++;
-                }
-                isActivation(t) {
-                    switch (t.opType) {
-                        case 'Relu':
-                        case 'Sigmoid':
-                        case 'Clip':
-                            return !0;
-                        default:
-                            return !1;
-                    }
-                }
-                fuseConvActivationNodes() {
-                    for (let t of this._nodes)
-                        if (t.opType === 'Conv') {
-                            let e = this._allData[t.outputs[0]]._to;
-                            if (e.length === 1 && this.isActivation(this._nodes[e[0]])) {
-                                let o = this._nodes[e[0]];
-                                if (o.opType === 'Clip')
-                                    if (o.inputs.length === 1)
-                                        try {
-                                            t.attributes.set('activation_params', 'floats', [
-                                                o.attributes.getFloat('min'),
-                                                o.attributes.getFloat('max'),
-                                            ]);
-                                        } catch {
-                                            t.attributes.set('activation_params', 'floats', [dr, hr]);
-                                        }
-                                    else if (
-                                        o.inputs.length >= 3 &&
-                                        this._allData[o.inputs[1]].tensor !== void 0 &&
-                                        this._allData[o.inputs[2]].tensor !== void 0
-                                    )
-                                        t.attributes.set('activation_params', 'floats', [
-                                            this._allData[o.inputs[1]].tensor.floatData[0],
-                                            this._allData[o.inputs[2]].tensor.floatData[0],
-                                        ]);
-                                    else continue;
-                                t.attributes.set('activation', 'string', o.opType), this.deleteNode(e[0]);
-                            }
-                        }
-                }
-            });
-    }),
-    yp,
-    Jb,
-    Io,
-    Tp = L(() => {
-        Wn(),
-            gp(),
-            tn(),
-            (yp = Er($r())),
-            fe(),
-            (Jb = W.experimental.fbs),
-            (Io = class {
-                constructor() {}
-                load(t, e, o) {
-                    if (!o)
-                        try {
-                            this.loadFromOnnxFormat(t, e);
-                            return;
-                        } catch (i) {
-                            if (o !== void 0) throw i;
-                        }
-                    this.loadFromOrtFormat(t, e);
-                }
-                loadFromOnnxFormat(t, e) {
-                    let o = yp.onnx.ModelProto.decode(t);
-                    if (nt.longToNumber(o.irVersion) < 3) throw new Error('only support ONNX model with IR_VERSION>=3');
-                    (this._opsets = o.opsetImport.map((i) => ({
-                        domain: i.domain,
-                        version: nt.longToNumber(i.version),
-                    }))),
-                        (this._graph = Zi.from(o.graph, e));
-                }
-                loadFromOrtFormat(t, e) {
-                    let o = new _.ByteBuffer(t),
-                        i = Jb.InferenceSession.getRootAsInferenceSession(o).model();
-                    if (nt.longToNumber(i.irVersion()) < 3)
-                        throw new Error('only support ONNX model with IR_VERSION>=3');
-                    this._opsets = [];
-                    for (let u = 0; u < i.opsetImportLength(); u++) {
-                        let n = i.opsetImport(u);
-                        this._opsets.push({ domain: n?.domain(), version: nt.longToNumber(n.version()) });
-                    }
-                    this._graph = Zi.from(i.graph(), e);
-                }
-                get graph() {
-                    return this._graph;
-                }
-                get opsets() {
-                    return this._opsets;
-                }
-            });
-    }),
-    So,
-    xp = L(() => {
-        hp(),
-            mp(),
-            ut(),
-            Tp(),
-            (So = class {
-                constructor(t = {}) {
-                    (this._initialized = !1),
-                        (this.backendHint = t.backendHint),
-                        (this.profiler = zn.create(t.profiler)),
-                        (this.context = { profiler: this.profiler, graphInputTypes: [], graphInputDims: [] });
-                }
-                get inputNames() {
-                    return this._model.graph.getInputNames();
-                }
-                get outputNames() {
-                    return this._model.graph.getOutputNames();
-                }
-                startProfiling() {
-                    this.profiler.start();
-                }
-                endProfiling() {
-                    this.profiler.stop();
-                }
-                async loadModel(t, e, o) {
-                    await this.profiler.event('session', 'Session.loadModel', async () => {
-                        let i = await Yi(this.backendHint);
-                        if (
-                            ((this.sessionHandler = i.createSessionHandler(this.context)),
-                            (this._model = new Io()),
-                            typeof t == 'string')
-                        ) {
-                            let u = t.endsWith('.ort');
-                            if (typeof process < 'u' && process.versions && process.versions.node) {
-                                let n = await (void 0)(t);
-                                this.initialize(n, u);
-                            } else {
-                                let n = await (await fetch(t)).arrayBuffer();
-                                this.initialize(new Uint8Array(n), u);
-                            }
-                        } else if (ArrayBuffer.isView(t)) this.initialize(t);
-                        else {
-                            let u = new Uint8Array(t, e || 0, o || t.byteLength);
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-                    });
-                }
-                initialize(t, e) {
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-                        this._model.load(t, o, e),
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-                            this.initializeOps(this._model.graph),
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-                }
-                async run(t) {
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-                        let e = this.normalizeAndValidateInputs(t),
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-                normalizeAndValidateInputs(t) {
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-                }
-                validateInputTensorTypes(t, e) {
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-                        let i = t[o],
-                            u = e[o].type;
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-                createOutput(t) {
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-                    return o;
-                }
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-                    this._ops = new Array(e.length);
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-                    Object.assign(n, f),
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-                        typeof WebAssembly != 'object' && pe('no native wasm support detected');
-                    var B,
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-                        var O = B.buffer;
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-                            (n.HEAPU16 = new Uint16Array(O)),
-                            (n.HEAP32 = V = new Int32Array(O)),
-                            (n.HEAPU32 = de = new Uint32Array(O)),
-                            (n.HEAPF32 = new Float32Array(O)),
-                            (n.HEAPF64 = ke = new Float64Array(O));
-                    }
-                    var Me = [],
-                        Y = [],
-                        _e = [],
-                        he = 0,
-                        ue = null;
-                    function pe(O) {
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-                            ((O = 'Aborted(' + O + ')'),
-                            F(O),
-                            (J = !0),
-                            (O = new WebAssembly.RuntimeError(O + '. Build with -sASSERTIONS for more info.')),
-                            d(O),
-                            O)
-                        );
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-                    var X = (O) => O.startsWith('data:application/octet-stream;base64,'),
-                        ve = (O) => O.startsWith('file://'),
-                        we;
-                    if (((we = 'ort-wasm.wasm'), !X(we))) {
-                        var rt = we;
-                        we = n.locateFile ? n.locateFile(rt, m) : m + rt;
-                    }
-                    function ot(O) {
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-                        throw 'both async and sync fetching of the wasm failed';
-                    }
-                    function qe(O) {
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-                            if (typeof fetch == 'function' && !ve(O))
-                                return fetch(O, { credentials: 'same-origin' })
-                                    .then((M) => {
-                                        if (!M.ok) throw "failed to load wasm binary file at '" + O + "'";
-                                        return M.arrayBuffer();
-                                    })
-                                    .catch(() => ot(O));
-                            if (T)
-                                return new Promise((M, I) => {
-                                    T(O, (k) => M(new Uint8Array(k)), I);
-                                });
-                        }
-                        return Promise.resolve().then(() => ot(O));
-                    }
-                    function He(O, M, I) {
-                        return qe(O)
-                            .then((k) => WebAssembly.instantiate(k, M))
-                            .then((k) => k)
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-                                F(`failed to asynchronously prepare wasm: ${k}`), pe(k);
-                            });
-                    }
-                    function Qe(O, M) {
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-                        return typeof WebAssembly.instantiateStreaming != 'function' ||
-                            X(I) ||
-                            ve(I) ||
-                            p ||
-                            typeof fetch != 'function'
-                            ? He(I, O, M)
-                            : fetch(I, { credentials: 'same-origin' }).then((k) =>
-                                  WebAssembly.instantiateStreaming(k, O).then(M, function (G) {
-                                      return (
-                                          F(`wasm streaming compile failed: ${G}`),
-                                          F('falling back to ArrayBuffer instantiation'),
-                                          He(I, O, M)
-                                      );
-                                  })
-                              );
-                    }
-                    var Be,
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-                                if (typeof n > 'u' || !n.za) return 1;
-                                if (
-                                    ((O = Mt(O >>> 0)),
-                                    O.startsWith('./') && (O = O.substring(2)),
-                                    (O = n.za.get(O)),
-                                    !O)
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-                                if (((M >>>= 0), (I >>>= 0), M + I > O.byteLength)) return 3;
-                                try {
-                                    return re.set(O.subarray(M, M + I), (k >>> 0) >>> 0), 0;
-                                } catch {
-                                    return 4;
-                                }
-                            },
-                        };
-                    function Se(O) {
-                        (this.xa = O - 24),
-                            (this.Ha = function (M) {
-                                de[((this.xa + 4) >>> 2) >>> 0] = M;
-                            }),
-                            (this.Ga = function (M) {
-                                de[((this.xa + 8) >>> 2) >>> 0] = M;
-                            }),
-                            (this.Aa = function (M, I) {
-                                this.Fa(), this.Ha(M), this.Ga(I);
-                            }),
-                            (this.Fa = function () {
-                                de[((this.xa + 16) >>> 2) >>> 0] = 0;
-                            });
-                    }
-                    var je = 0,
-                        Tt = typeof TextDecoder < 'u' ? new TextDecoder('utf8') : void 0,
-                        xt = (O, M, I) => {
-                            M >>>= 0;
-                            var k = M + I;
-                            for (I = M; O[I] && !(I >= k); ) ++I;
-                            if (16 < I - M && O.buffer && Tt) return Tt.decode(O.subarray(M, I));
-                            for (k = ''; M < I; ) {
-                                var G = O[M++];
-                                if (G & 128) {
-                                    var ne = O[M++] & 63;
-                                    if ((G & 224) == 192) k += String.fromCharCode(((G & 31) << 6) | ne);
-                                    else {
-                                        var ge = O[M++] & 63;
-                                        (G =
-                                            (G & 240) == 224
-                                                ? ((G & 15) << 12) | (ne << 6) | ge
-                                                : ((G & 7) << 18) | (ne << 12) | (ge << 6) | (O[M++] & 63)),
-                                            65536 > G
-                                                ? (k += String.fromCharCode(G))
-                                                : ((G -= 65536),
-                                                  (k += String.fromCharCode(55296 | (G >> 10), 56320 | (G & 1023))));
-                                    }
-                                } else k += String.fromCharCode(G);
-                            }
-                            return k;
-                        },
-                        Mt = (O, M) => ((O >>>= 0) ? xt(re, O, M) : ''),
-                        Ot = (O) => {
-                            for (var M = 0, I = 0; I < O.length; ++I) {
-                                var k = O.charCodeAt(I);
-                                127 >= k
-                                    ? M++
-                                    : 2047 >= k
-                                    ? (M += 2)
-                                    : 55296 <= k && 57343 >= k
-                                    ? ((M += 4), ++I)
-                                    : (M += 3);
-                            }
-                            return M;
-                        },
-                        gt = (O, M, I, k) => {
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-                            var G = I;
-                            k = I + k - 1;
-                            for (var ne = 0; ne < O.length; ++ne) {
-                                var ge = O.charCodeAt(ne);
-                                if (55296 <= ge && 57343 >= ge) {
-                                    var Ue = O.charCodeAt(++ne);
-                                    ge = (65536 + ((ge & 1023) << 10)) | (Ue & 1023);
-                                }
-                                if (127 >= ge) {
-                                    if (I >= k) break;
-                                    M[I++ >>> 0] = ge;
-                                } else {
-                                    if (2047 >= ge) {
-                                        if (I + 1 >= k) break;
-                                        M[I++ >>> 0] = 192 | (ge >> 6);
-                                    } else {
-                                        if (65535 >= ge) {
-                                            if (I + 2 >= k) break;
-                                            M[I++ >>> 0] = 224 | (ge >> 12);
-                                        } else {
-                                            if (I + 3 >= k) break;
-                                            (M[I++ >>> 0] = 240 | (ge >> 18)), (M[I++ >>> 0] = 128 | ((ge >> 12) & 63));
-                                        }
-                                        M[I++ >>> 0] = 128 | ((ge >> 6) & 63);
-                                    }
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-                                }
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-                            return (M[I >>> 0] = 0), I - G;
-                        },
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-                        Or = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335],
-                        Ht = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334],
-                        Sr = (O) => {
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-                        },
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-                        At = () => {
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-                                var O = {
-                                        USER: 'web_user',
-                                        LOGNAME: 'web_user',
-                                        PATH: '/',
-                                        PWD: '/',
-                                        HOME: '/home/web_user',
-                                        LANG:
-                                            (
-                                                (typeof navigator == 'object' &&
-                                                    navigator.languages &&
-                                                    navigator.languages[0]) ||
-                                                'C'
-                                            ).replace('-', '_') + '.UTF-8',
-                                        _: r || './this.program',
-                                    },
-                                    M;
-                                for (M in Bt) Bt[M] === void 0 ? delete O[M] : (O[M] = Bt[M]);
-                                var I = [];
-                                for (M in O) I.push(`${M}=${O[M]}`);
-                                It = I;
-                            }
-                            return It;
-                        },
-                        It,
-                        Ar = [null, [], []],
-                        Et = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],
-                        Yt = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
-                    function Ir(O) {
-                        var M = Array(Ot(O) + 1);
-                        return gt(O, M, 0, M.length), M;
-                    }
-                    function Dt(O, M, I, k) {
-                        function G(C, Te, Ie) {
-                            for (C = typeof C == 'number' ? C.toString() : C || ''; C.length < Te; ) C = Ie[0] + C;
-                            return C;
-                        }
-                        function ne(C, Te) {
-                            return G(C, Te, '0');
-                        }
-                        function ge(C, Te) {
-                            function Ie(lr) {
-                                return 0 > lr ? -1 : 0 < lr ? 1 : 0;
-                            }
-                            var at;
-                            return (
-                                (at = Ie(C.getFullYear() - Te.getFullYear())) === 0 &&
-                                    (at = Ie(C.getMonth() - Te.getMonth())) === 0 &&
-                                    (at = Ie(C.getDate() - Te.getDate())),
-                                at
-                            );
-                        }
-                        function Ue(C) {
-                            switch (C.getDay()) {
-                                case 0:
-                                    return new Date(C.getFullYear() - 1, 11, 29);
-                                case 1:
-                                    return C;
-                                case 2:
-                                    return new Date(C.getFullYear(), 0, 3);
-                                case 3:
-                                    return new Date(C.getFullYear(), 0, 2);
-                                case 4:
-                                    return new Date(C.getFullYear(), 0, 1);
-                                case 5:
-                                    return new Date(C.getFullYear() - 1, 11, 31);
-                                case 6:
-                                    return new Date(C.getFullYear() - 1, 11, 30);
-                            }
-                        }
-                        function et(C) {
-                            var Te = C.ta;
-                            for (C = new Date(new Date(C.ua + 1900, 0, 1).getTime()); 0 < Te; ) {
-                                var Ie = C.getMonth(),
-                                    at = (yt(C.getFullYear()) ? Et : Yt)[Ie];
-                                if (Te > at - C.getDate())
-                                    (Te -= at - C.getDate() + 1),
-                                        C.setDate(1),
-                                        11 > Ie
-                                            ? C.setMonth(Ie + 1)
-                                            : (C.setMonth(0), C.setFullYear(C.getFullYear() + 1));
-                                else {
-                                    C.setDate(C.getDate() + Te);
-                                    break;
-                                }
-                            }
-                            return (
-                                (Ie = new Date(C.getFullYear() + 1, 0, 4)),
-                                (Te = Ue(new Date(C.getFullYear(), 0, 4))),
-                                (Ie = Ue(Ie)),
-                                0 >= ge(Te, C)
-                                    ? 0 >= ge(Ie, C)
-                                        ? C.getFullYear() + 1
-                                        : C.getFullYear()
-                                    : C.getFullYear() - 1
-                            );
-                        }
-                        (O >>>= 0), (M >>>= 0), (I >>>= 0), (k >>>= 0);
-                        var Ze = de[((k + 40) >>> 2) >>> 0];
-                        (k = {
-                            Da: V[(k >>> 2) >>> 0],
-                            Ca: V[((k + 4) >>> 2) >>> 0],
-                            va: V[((k + 8) >>> 2) >>> 0],
-                            ya: V[((k + 12) >>> 2) >>> 0],
-                            wa: V[((k + 16) >>> 2) >>> 0],
-                            ua: V[((k + 20) >>> 2) >>> 0],
-                            oa: V[((k + 24) >>> 2) >>> 0],
-                            ta: V[((k + 28) >>> 2) >>> 0],
-                            Ia: V[((k + 32) >>> 2) >>> 0],
-                            Ba: V[((k + 36) >>> 2) >>> 0],
-                            Ea: Ze ? Mt(Ze) : '',
-                        }),
-                            (I = Mt(I)),
-                            (Ze = {
-                                '%c': '%a %b %d %H:%M:%S %Y',
-                                '%D': '%m/%d/%y',
-                                '%F': '%Y-%m-%d',
-                                '%h': '%b',
-                                '%r': '%I:%M:%S %p',
-                                '%R': '%H:%M',
-                                '%T': '%H:%M:%S',
-                                '%x': '%m/%d/%y',
-                                '%X': '%H:%M:%S',
-                                '%Ec': '%c',
-                                '%EC': '%C',
-                                '%Ex': '%m/%d/%y',
-                                '%EX': '%H:%M:%S',
-                                '%Ey': '%y',
-                                '%EY': '%Y',
-                                '%Od': '%d',
-                                '%Oe': '%e',
-                                '%OH': '%H',
-                                '%OI': '%I',
-                                '%Om': '%m',
-                                '%OM': '%M',
-                                '%OS': '%S',
-                                '%Ou': '%u',
-                                '%OU': '%U',
-                                '%OV': '%V',
-                                '%Ow': '%w',
-                                '%OW': '%W',
-                                '%Oy': '%y',
-                            });
-                        for (var Je in Ze) I = I.replace(new RegExp(Je, 'g'), Ze[Je]);
-                        var er = 'Sunday Monday Tuesday Wednesday Thursday Friday Saturday'.split(' '),
-                            tr =
-                                'January February March April May June July August September October November December'.split(
-                                    ' '
-                                );
-                        (Ze = {
-                            '%a': (C) => er[C.oa].substring(0, 3),
-                            '%A': (C) => er[C.oa],
-                            '%b': (C) => tr[C.wa].substring(0, 3),
-                            '%B': (C) => tr[C.wa],
-                            '%C': (C) => ne(((C.ua + 1900) / 100) | 0, 2),
-                            '%d': (C) => ne(C.ya, 2),
-                            '%e': (C) => G(C.ya, 2, ' '),
-                            '%g': (C) => et(C).toString().substring(2),
-                            '%G': (C) => et(C),
-                            '%H': (C) => ne(C.va, 2),
-                            '%I': (C) => ((C = C.va), C == 0 ? (C = 12) : 12 < C && (C -= 12), ne(C, 2)),
-                            '%j': (C) => {
-                                for (var Te = 0, Ie = 0; Ie <= C.wa - 1; Te += (yt(C.ua + 1900) ? Et : Yt)[Ie++]);
-                                return ne(C.ya + Te, 3);
-                            },
-                            '%m': (C) => ne(C.wa + 1, 2),
-                            '%M': (C) => ne(C.Ca, 2),
-                            '%n': () => `
-`,
-                            '%p': (C) => (0 <= C.va && 12 > C.va ? 'AM' : 'PM'),
-                            '%S': (C) => ne(C.Da, 2),
-                            '%t': () => '	',
-                            '%u': (C) => C.oa || 7,
-                            '%U': (C) => ne(Math.floor((C.ta + 7 - C.oa) / 7), 2),
-                            '%V': (C) => {
-                                var Te = Math.floor((C.ta + 7 - ((C.oa + 6) % 7)) / 7);
-                                if ((2 >= (C.oa + 371 - C.ta - 2) % 7 && Te++, Te))
-                                    Te == 53 &&
-                                        ((Ie = (C.oa + 371 - C.ta) % 7), Ie == 4 || (Ie == 3 && yt(C.ua)) || (Te = 1));
-                                else {
-                                    Te = 52;
-                                    var Ie = (C.oa + 7 - C.ta - 1) % 7;
-                                    (Ie == 4 || (Ie == 5 && yt((C.ua % 400) - 1))) && Te++;
-                                }
-                                return ne(Te, 2);
-                            },
-                            '%w': (C) => C.oa,
-                            '%W': (C) => ne(Math.floor((C.ta + 7 - ((C.oa + 6) % 7)) / 7), 2),
-                            '%y': (C) => (C.ua + 1900).toString().substring(2),
-                            '%Y': (C) => C.ua + 1900,
-                            '%z': (C) => {
-                                C = C.Ba;
-                                var Te = 0 <= C;
-                                return (
-                                    (C = Math.abs(C) / 60),
-                                    (Te ? '+' : '-') + ('0000' + ((C / 60) * 100 + (C % 60))).slice(-4)
-                                );
-                            },
-                            '%Z': (C) => C.Ea,
-                            '%%': () => '%',
-                        }),
-                            (I = I.replace(/%%/g, '\0\0'));
-                        for (Je in Ze) I.includes(Je) && (I = I.replace(new RegExp(Je, 'g'), Ze[Je](k)));
-                        return (
-                            (I = I.replace(/\0\0/g, '%')),
-                            (Je = Ir(I)),
-                            Je.length > M ? 0 : (Q.set(Je, O >>> 0), Je.length - 1)
-                        );
-                    }
-                    var Zr = {
-                            a: function (O, M, I) {
-                                throw ((O >>>= 0), new Se(O).Aa(M >>> 0, I >>> 0), (je = O), je);
-                            },
-                            e: function () {
-                                return 0;
-                            },
-                            H: function () {},
-                            x: function () {},
-                            z: function () {},
-                            J: function () {
-                                return 0;
-                            },
-                            F: function () {},
-                            A: function () {},
-                            E: function () {},
-                            g: function () {},
-                            y: function () {},
-                            v: function () {},
-                            G: function () {},
-                            w: function () {},
-                            k: () => 1,
-                            n: function (O, M, I) {
-                                (O = (M + 2097152) >>> 0 < 4194305 - !!O ? (O >>> 0) + 4294967296 * M : NaN),
-                                    (I >>>= 0),
-                                    (O = new Date(1e3 * O)),
-                                    (V[(I >>> 2) >>> 0] = O.getUTCSeconds()),
-                                    (V[((I + 4) >>> 2) >>> 0] = O.getUTCMinutes()),
-                                    (V[((I + 8) >>> 2) >>> 0] = O.getUTCHours()),
-                                    (V[((I + 12) >>> 2) >>> 0] = O.getUTCDate()),
-                                    (V[((I + 16) >>> 2) >>> 0] = O.getUTCMonth()),
-                                    (V[((I + 20) >>> 2) >>> 0] = O.getUTCFullYear() - 1900),
-                                    (V[((I + 24) >>> 2) >>> 0] = O.getUTCDay()),
-                                    (V[((I + 28) >>> 2) >>> 0] =
-                                        ((O.getTime() - Date.UTC(O.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5) | 0);
-                            },
-                            o: function (O, M, I) {
-                                (O = (M + 2097152) >>> 0 < 4194305 - !!O ? (O >>> 0) + 4294967296 * M : NaN),
-                                    (I >>>= 0),
-                                    (O = new Date(1e3 * O)),
-                                    (V[(I >>> 2) >>> 0] = O.getSeconds()),
-                                    (V[((I + 4) >>> 2) >>> 0] = O.getMinutes()),
-                                    (V[((I + 8) >>> 2) >>> 0] = O.getHours()),
-                                    (V[((I + 12) >>> 2) >>> 0] = O.getDate()),
-                                    (V[((I + 16) >>> 2) >>> 0] = O.getMonth()),
-                                    (V[((I + 20) >>> 2) >>> 0] = O.getFullYear() - 1900),
-                                    (V[((I + 24) >>> 2) >>> 0] = O.getDay()),
-                                    (V[((I + 28) >>> 2) >>> 0] =
-                                        ((yt(O.getFullYear()) ? Or : Ht)[O.getMonth()] + O.getDate() - 1) | 0),
-                                    (V[((I + 36) >>> 2) >>> 0] = -(60 * O.getTimezoneOffset())),
-                                    (M = new Date(O.getFullYear(), 6, 1).getTimezoneOffset());
-                                var k = new Date(O.getFullYear(), 0, 1).getTimezoneOffset();
-                                V[((I + 32) >>> 2) >>> 0] = (M != k && O.getTimezoneOffset() == Math.min(k, M)) | 0;
-                            },
-                            p: function (O) {
-                                O >>>= 0;
-                                var M = new Date(
-                                        V[((O + 20) >>> 2) >>> 0] + 1900,
-                                        V[((O + 16) >>> 2) >>> 0],
-                                        V[((O + 12) >>> 2) >>> 0],
-                                        V[((O + 8) >>> 2) >>> 0],
-                                        V[((O + 4) >>> 2) >>> 0],
-                                        V[(O >>> 2) >>> 0],
-                                        0
-                                    ),
-                                    I = V[((O + 32) >>> 2) >>> 0],
-                                    k = M.getTimezoneOffset(),
-                                    G = new Date(M.getFullYear(), 6, 1).getTimezoneOffset(),
-                                    ne = new Date(M.getFullYear(), 0, 1).getTimezoneOffset(),
-                                    ge = Math.min(ne, G);
-                                return (
-                                    0 > I
-                                        ? (V[((O + 32) >>> 2) >>> 0] = +(G != ne && ge == k))
-                                        : 0 < I != (ge == k) &&
-                                          ((G = Math.max(ne, G)),
-                                          M.setTime(M.getTime() + 6e4 * ((0 < I ? ge : G) - k))),
-                                    (V[((O + 24) >>> 2) >>> 0] = M.getDay()),
-                                    (V[((O + 28) >>> 2) >>> 0] =
-                                        ((yt(M.getFullYear()) ? Or : Ht)[M.getMonth()] + M.getDate() - 1) | 0),
-                                    (V[(O >>> 2) >>> 0] = M.getSeconds()),
-                                    (V[((O + 4) >>> 2) >>> 0] = M.getMinutes()),
-                                    (V[((O + 8) >>> 2) >>> 0] = M.getHours()),
-                                    (V[((O + 12) >>> 2) >>> 0] = M.getDate()),
-                                    (V[((O + 16) >>> 2) >>> 0] = M.getMonth()),
-                                    (V[((O + 20) >>> 2) >>> 0] = M.getYear()),
-                                    (O = M.getTime()),
-                                    isNaN(O) ? ((V[(Kt() >>> 2) >>> 0] = 61), (O = -1)) : (O /= 1e3),
-                                    Fr(
-                                        ((Be = O),
-                                        1 <= +Math.abs(Be)
-                                            ? 0 < Be
-                                                ? +Math.floor(Be / 4294967296) >>> 0
-                                                : ~~+Math.ceil((Be - +(~~Be >>> 0)) / 4294967296) >>> 0
-                                            : 0)
-                                    ),
-                                    O >>> 0
-                                );
-                            },
-                            l: function () {
-                                return -52;
-                            },
-                            m: function () {},
-                            t: function (O, M, I) {
-                                function k(et) {
-                                    return (et = et.toTimeString().match(/\(([A-Za-z ]+)\)$/)) ? et[1] : 'GMT';
-                                }
-                                I >>>= 0;
-                                var G = new Date().getFullYear(),
-                                    ne = new Date(G, 0, 1),
-                                    ge = new Date(G, 6, 1);
-                                G = ne.getTimezoneOffset();
-                                var Ue = ge.getTimezoneOffset();
-                                (de[((O >>> 0) >>> 2) >>> 0] = 60 * Math.max(G, Ue)),
-                                    (V[((M >>> 0) >>> 2) >>> 0] = +(G != Ue)),
-                                    (O = k(ne)),
-                                    (M = k(ge)),
-                                    (O = Sr(O)),
-                                    (M = Sr(M)),
-                                    Ue < G
-                                        ? ((de[(I >>> 2) >>> 0] = O), (de[((I + 4) >>> 2) >>> 0] = M))
-                                        : ((de[(I >>> 2) >>> 0] = M), (de[((I + 4) >>> 2) >>> 0] = O));
-                            },
-                            d: () => {
-                                pe('');
-                            },
-                            B: function (O, M, I) {
-                                (O >>>= 0), (M >>>= 0), (I >>>= 0), (st.length = 0);
-                                for (var k; (k = re[M++ >>> 0]); ) {
-                                    var G = k != 105;
-                                    (G &= k != 112),
-                                        (I += G && I % 8 ? 4 : 0),
-                                        st.push(
-                                            k == 112
-                                                ? de[(I >>> 2) >>> 0]
-                                                : k == 105
-                                                ? V[(I >>> 2) >>> 0]
-                                                : ke[(I >>> 3) >>> 0]
-                                        ),
-                                        (I += G ? 8 : 4);
-                                }
-                                return Ce[O].apply(null, st);
-                            },
-                            h: () => Date.now(),
-                            u: function () {
-                                return 4294901760;
-                            },
-                            b: () => performance.now(),
-                            I: function (O, M, I) {
-                                return (M >>>= 0), re.copyWithin((O >>> 0) >>> 0, M >>> 0, (M + (I >>> 0)) >>> 0);
-                            },
-                            s: function (O) {
-                                O >>>= 0;
-                                var M = re.length;
-                                if (4294901760 < O) return !1;
-                                for (var I = 1; 4 >= I; I *= 2) {
-                                    var k = M * (1 + 0.2 / I);
-                                    k = Math.min(k, O + 100663296);
-                                    var G = Math;
-                                    k = Math.max(O, k);
-                                    e: {
-                                        G =
-                                            (G.min.call(G, 4294901760, k + ((65536 - (k % 65536)) % 65536)) -
-                                                B.buffer.byteLength +
-                                                65535) /
-                                            65536;
-                                        try {
-                                            B.grow(G), Ne();
-                                            var ne = 1;
-                                            break e;
-                                        } catch {}
-                                        ne = void 0;
-                                    }
-                                    if (ne) return !0;
-                                }
-                                return !1;
-                            },
-                            C: function (O, M) {
-                                (O >>>= 0), (M >>>= 0);
-                                var I = 0;
-                                return (
-                                    At().forEach((k, G) => {
-                                        var ne = M + I;
-                                        for (G = de[((O + 4 * G) >>> 2) >>> 0] = ne, ne = 0; ne < k.length; ++ne)
-                                            Q[(G++ >>> 0) >>> 0] = k.charCodeAt(ne);
-                                        (Q[(G >>> 0) >>> 0] = 0), (I += k.length + 1);
-                                    }),
-                                    0
-                                );
-                            },
-                            D: function (O, M) {
-                                (O >>>= 0), (M >>>= 0);
-                                var I = At();
-                                de[(O >>> 2) >>> 0] = I.length;
-                                var k = 0;
-                                return I.forEach((G) => (k += G.length + 1)), (de[(M >>> 2) >>> 0] = k), 0;
-                            },
-                            f: () => 52,
-                            j: function () {
-                                return 52;
-                            },
-                            q: function () {
-                                return 70;
-                            },
-                            i: function (O, M, I, k) {
-                                (M >>>= 0), (I >>>= 0), (k >>>= 0);
-                                for (var G = 0, ne = 0; ne < I; ne++) {
-                                    var ge = de[(M >>> 2) >>> 0],
-                                        Ue = de[((M + 4) >>> 2) >>> 0];
-                                    M += 8;
-                                    for (var et = 0; et < Ue; et++) {
-                                        var Ze = re[(ge + et) >>> 0],
-                                            Je = Ar[O];
-                                        Ze === 0 || Ze === 10
-                                            ? ((O === 1 ? A : F)(xt(Je, 0)), (Je.length = 0))
-                                            : Je.push(Ze);
-                                    }
-                                    G += Ue;
-                                }
-                                return (de[(k >>> 2) >>> 0] = G), 0;
-                            },
-                            r: Dt,
-                            c: function (O, M, I, k) {
-                                return Dt(O >>> 0, M >>> 0, I >>> 0, k >>> 0);
-                            },
-                        },
-                        H = (function () {
-                            function O(I) {
-                                return (
-                                    (H = I.exports),
-                                    (H = Wt()),
-                                    (B = H.K),
-                                    Ne(),
-                                    Y.unshift(H.L),
-                                    he--,
-                                    he == 0 && ue && ((I = ue), (ue = null), I()),
-                                    H
-                                );
-                            }
-                            var M = { a: Zr };
-                            if ((he++, n.instantiateWasm))
-                                try {
-                                    return n.instantiateWasm(M, O);
-                                } catch (I) {
-                                    F(`Module.instantiateWasm callback failed with error: ${I}`), d(I);
-                                }
-                            return (
-                                Qe(M, function (I) {
-                                    O(I.instance);
-                                }).catch(d),
-                                {}
-                            );
-                        })();
-                    (n._OrtInit = (O, M) => (n._OrtInit = H.M)(O, M)),
-                        (n._OrtGetLastError = (O, M) => (n._OrtGetLastError = H.N)(O, M)),
-                        (n._OrtCreateSessionOptions = (O, M, I, k, G, ne, ge, Ue, et, Ze) =>
-                            (n._OrtCreateSessionOptions = H.O)(O, M, I, k, G, ne, ge, Ue, et, Ze)),
-                        (n._OrtAppendExecutionProvider = (O, M) => (n._OrtAppendExecutionProvider = H.P)(O, M)),
-                        (n._OrtAddFreeDimensionOverride = (O, M, I) => (n._OrtAddFreeDimensionOverride = H.Q)(O, M, I)),
-                        (n._OrtAddSessionConfigEntry = (O, M, I) => (n._OrtAddSessionConfigEntry = H.R)(O, M, I)),
-                        (n._OrtReleaseSessionOptions = (O) => (n._OrtReleaseSessionOptions = H.S)(O)),
-                        (n._OrtCreateSession = (O, M, I) => (n._OrtCreateSession = H.T)(O, M, I)),
-                        (n._OrtReleaseSession = (O) => (n._OrtReleaseSession = H.U)(O)),
-                        (n._OrtGetInputOutputCount = (O, M, I) => (n._OrtGetInputOutputCount = H.V)(O, M, I)),
-                        (n._OrtGetInputName = (O, M) => (n._OrtGetInputName = H.W)(O, M)),
-                        (n._OrtGetOutputName = (O, M) => (n._OrtGetOutputName = H.X)(O, M)),
-                        (n._OrtFree = (O) => (n._OrtFree = H.Y)(O)),
-                        (n._OrtCreateTensor = (O, M, I, k, G, ne) => (n._OrtCreateTensor = H.Z)(O, M, I, k, G, ne)),
-                        (n._OrtGetTensorData = (O, M, I, k, G) => (n._OrtGetTensorData = H._)(O, M, I, k, G)),
-                        (n._OrtReleaseTensor = (O) => (n._OrtReleaseTensor = H.$)(O)),
-                        (n._OrtCreateRunOptions = (O, M, I, k) => (n._OrtCreateRunOptions = H.aa)(O, M, I, k)),
-                        (n._OrtAddRunConfigEntry = (O, M, I) => (n._OrtAddRunConfigEntry = H.ba)(O, M, I)),
-                        (n._OrtReleaseRunOptions = (O) => (n._OrtReleaseRunOptions = H.ca)(O)),
-                        (n._OrtCreateBinding = (O) => (n._OrtCreateBinding = H.da)(O)),
-                        (n._OrtBindInput = (O, M, I) => (n._OrtBindInput = H.ea)(O, M, I)),
-                        (n._OrtBindOutput = (O, M, I, k) => (n._OrtBindOutput = H.fa)(O, M, I, k)),
-                        (n._OrtClearBoundOutputs = (O) => (n._OrtClearBoundOutputs = H.ga)(O)),
-                        (n._OrtReleaseBinding = (O) => (n._OrtReleaseBinding = H.ha)(O)),
-                        (n._OrtRunWithBinding = (O, M, I, k, G) => (n._OrtRunWithBinding = H.ia)(O, M, I, k, G)),
-                        (n._OrtRun = (O, M, I, k, G, ne, ge, Ue) => (n._OrtRun = H.ja)(O, M, I, k, G, ne, ge, Ue)),
-                        (n._OrtEndProfiling = (O) => (n._OrtEndProfiling = H.ka)(O));
-                    var Kt = () => (Kt = H.la)(),
-                        Gt = (n._malloc = (O) => (Gt = n._malloc = H.ma)(O));
-                    n._free = (O) => (n._free = H.na)(O);
-                    var Fr = (O) => (Fr = H.pa)(O),
-                        Qt = () => (Qt = H.qa)(),
-                        jr = (O) => (jr = H.ra)(O),
-                        se = (O) => (se = H.sa)(O);
-                    function Wt() {
-                        var O = H;
-                        O = Object.assign({}, O);
-                        var M = (k) => () => k() >>> 0,
-                            I = (k) => (G) => k(G) >>> 0;
-                        return (O.la = M(O.la)), (O.ma = I(O.ma)), (O.qa = M(O.qa)), (O.sa = I(O.sa)), O;
-                    }
-                    (n.stackAlloc = se),
-                        (n.stackSave = Qt),
-                        (n.stackRestore = jr),
-                        (n.UTF8ToString = Mt),
-                        (n.stringToUTF8 = (O, M, I) => gt(O, re, M, I)),
-                        (n.lengthBytesUTF8 = Ot);
-                    var Nt;
-                    ue = function O() {
-                        Nt || Lt(), Nt || (ue = O);
-                    };
-                    function Lt() {
-                        if (!(0 < he)) {
-                            if (n.preRun)
-                                for (typeof n.preRun == 'function' && (n.preRun = [n.preRun]); n.preRun.length; ) {
-                                    var O = n.preRun.shift();
-                                    Me.unshift(O);
-                                }
-                            for (; 0 < Me.length; ) Me.shift()(n);
-                            if (!(0 < he || Nt || ((Nt = !0), (n.calledRun = !0), J))) {
-                                for (; 0 < Y.length; ) Y.shift()(n);
-                                for (s(n); 0 < _e.length; ) _e.shift()(n);
-                            }
-                        }
-                    }
-                    return Lt(), u.ready;
-                }
-            );
-        })();
-        typeof t == 'object' && typeof e == 'object'
-            ? (e.exports = o)
-            : typeof define == 'function' && define.amd && define([], () => o);
-    }),
-    Pp = me(() => {}),
-    Ep = me(() => {}),
-    Dp = {};
-Pr(Dp, { cpus: () => ng });
-var ng,
-    Lp = L(() => {
-        ng = void 0;
-    }),
-    Cp = me((t, e) => {
-        var o = (() => {
-            var i = typeof document < 'u' && document.currentScript ? document.currentScript.src : void 0;
-            return (
-                typeof __filename < 'u' && (i = i || __filename),
-                function (u = {}) {
-                    function n() {
-                        return _e.buffer != X.buffer && qe(), X;
-                    }
-                    function s() {
-                        return _e.buffer != X.buffer && qe(), ve;
-                    }
-                    function d() {
-                        return _e.buffer != X.buffer && qe(), we;
-                    }
-                    function f() {
-                        return _e.buffer != X.buffer && qe(), rt;
-                    }
-                    function r() {
-                        return _e.buffer != X.buffer && qe(), ot;
-                    }
-                    var a = u,
-                        l,
-                        p;
-                    a.ready = new Promise((g, x) => {
-                        (l = g), (p = x);
-                    });
-                    var m = Object.assign({}, a),
-                        y = './this.program',
-                        T = (g, x) => {
-                            throw x;
-                        },
-                        v = typeof window == 'object',
-                        S = typeof importScripts == 'function',
-                        E =
-                            typeof process == 'object' &&
-                            typeof process.versions == 'object' &&
-                            typeof process.versions.node == 'string',
-                        A = a.ENVIRONMENT_IS_PTHREAD || !1,
-                        F = '';
-                    function B(g) {
-                        return a.locateFile ? a.locateFile(g, F) : F + g;
-                    }
-                    var J, Q, re;
-                    if (E) {
-                        var V = (ta(), rr(ea)),
-                            de = (na(), rr(ra));
-                        (F = S ? de.dirname(F) + '/' : __dirname + '/'),
-                            (J = (x, P) => (
-                                (x = Ot(x) ? new URL(x) : de.normalize(x)), V.readFileSync(x, P ? void 0 : 'utf8')
-                            )),
-                            (re = (x) => ((x = J(x, !0)), x.buffer || (x = new Uint8Array(x)), x)),
-                            (Q = (x, P, D, j = !0) => {
-                                (x = Ot(x) ? new URL(x) : de.normalize(x)),
-                                    V.readFile(x, j ? void 0 : 'utf8', (z, K) => {
-                                        z ? D(z) : P(j ? K.buffer : K);
-                                    });
-                            }),
-                            !a.thisProgram && 1 < process.argv.length && (y = process.argv[1].replace(/\\/g, '/')),
-                            process.argv.slice(2),
-                            (T = (x, P) => {
-                                throw ((process.exitCode = x), P);
-                            }),
-                            (a.inspect = () => '[Emscripten Module object]');
-                        let g;
-                        try {
-                            g = Pp();
-                        } catch (x) {
-                            throw (
-                                (console.error(
-                                    'The "worker_threads" module is not supported in this node.js build - perhaps a newer version is needed?'
-                                ),
-                                x)
-                            );
-                        }
-                        global.Worker = g.Worker;
-                    } else
-                        (v || S) &&
-                            (S
-                                ? (F = self.location.href)
-                                : typeof document < 'u' && document.currentScript && (F = document.currentScript.src),
-                            typeof i < 'u' && i && (F = i),
-                            F.indexOf('blob:') !== 0
-                                ? (F = F.substr(0, F.replace(/[?#].*/, '').lastIndexOf('/') + 1))
-                                : (F = ''),
-                            E ||
-                                ((J = (g) => {
-                                    var x = new XMLHttpRequest();
-                                    return x.open('GET', g, !1), x.send(null), x.responseText;
-                                }),
-                                S &&
-                                    (re = (g) => {
-                                        var x = new XMLHttpRequest();
-                                        return (
-                                            x.open('GET', g, !1),
-                                            (x.responseType = 'arraybuffer'),
-                                            x.send(null),
-                                            new Uint8Array(x.response)
-                                        );
-                                    }),
-                                (Q = (g, x, P) => {
-                                    var D = new XMLHttpRequest();
-                                    D.open('GET', g, !0),
-                                        (D.responseType = 'arraybuffer'),
-                                        (D.onload = () => {
-                                            D.status == 200 || (D.status == 0 && D.response) ? x(D.response) : P();
-                                        }),
-                                        (D.onerror = P),
-                                        D.send(null);
-                                })));
-                    E && typeof performance > 'u' && (global.performance = Ep().performance);
-                    var ke = console.log.bind(console),
-                        Ne = console.error.bind(console);
-                    E &&
-                        ((ke = (...g) =>
-                            V.writeSync(
-                                1,
-                                g.join(' ') +
-                                    `
-`
-                            )),
-                        (Ne = (...g) =>
-                            V.writeSync(
-                                2,
-                                g.join(' ') +
-                                    `
-`
-                            )));
-                    var Me = ke,
-                        Y = Ne;
-                    Object.assign(a, m),
-                        (m = null),
-                        typeof WebAssembly != 'object' && xt('no native wasm support detected');
-                    var _e,
-                        he,
-                        ue = !1,
-                        pe,
-                        X,
-                        ve,
-                        we,
-                        rt,
-                        ot;
-                    function qe() {
-                        var g = _e.buffer;
-                        (a.HEAP8 = X = new Int8Array(g)),
-                            (a.HEAP16 = new Int16Array(g)),
-                            (a.HEAPU8 = ve = new Uint8Array(g)),
-                            (a.HEAPU16 = new Uint16Array(g)),
-                            (a.HEAP32 = we = new Int32Array(g)),
-                            (a.HEAPU32 = rt = new Uint32Array(g)),
-                            (a.HEAPF32 = new Float32Array(g)),
-                            (a.HEAPF64 = ot = new Float64Array(g));
-                    }
-                    var He = 16777216;
-                    if (A) _e = a.wasmMemory;
-                    else if (a.wasmMemory) _e = a.wasmMemory;
-                    else if (
-                        ((_e = new WebAssembly.Memory({ initial: He / 65536, maximum: 65536, shared: !0 })),
-                        !(_e.buffer instanceof SharedArrayBuffer))
-                    )
-                        throw (
-                            (Y(
-                                'requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag'
-                            ),
-                            E &&
-                                Y(
-                                    '(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and/or recent version)'
-                                ),
-                            Error('bad memory'))
-                        );
-                    qe(), (He = _e.buffer.byteLength);
-                    var Qe = [],
-                        Be = [],
-                        Ce = [],
-                        Se = 0,
-                        je = null;
-                    function Tt() {
-                        if ((Se--, Se == 0 && je)) {
-                            var g = je;
-                            (je = null), g();
-                        }
-                    }
-                    function xt(g) {
-                        throw (
-                            ((g = 'Aborted(' + g + ')'),
-                            Y(g),
-                            (ue = !0),
-                            (pe = 1),
-                            (g = new WebAssembly.RuntimeError(g + '. Build with -sASSERTIONS for more info.')),
-                            p(g),
-                            g)
-                        );
-                    }
-                    var Mt = (g) => g.startsWith('data:application/octet-stream;base64,'),
-                        Ot = (g) => g.startsWith('file://'),
-                        gt;
-                    (gt = 'ort-wasm-threaded.wasm'), Mt(gt) || (gt = B(gt));
-                    function yt(g) {
-                        if (re) return re(g);
-                        throw 'both async and sync fetching of the wasm failed';
-                    }
-                    function Or(g) {
-                        if (v || S) {
-                            if (typeof fetch == 'function' && !Ot(g))
-                                return fetch(g, { credentials: 'same-origin' })
-                                    .then((x) => {
-                                        if (!x.ok) throw "failed to load wasm binary file at '" + g + "'";
-                                        return x.arrayBuffer();
-                                    })
-                                    .catch(() => yt(g));
-                            if (Q)
-                                return new Promise((x, P) => {
-                                    Q(g, (D) => x(new Uint8Array(D)), P);
-                                });
-                        }
-                        return Promise.resolve().then(() => yt(g));
-                    }
-                    function Ht(g, x, P) {
-                        return Or(g)
-                            .then((D) => WebAssembly.instantiate(D, x))
-                            .then((D) => D)
-                            .then(P, (D) => {
-                                Y(`failed to asynchronously prepare wasm: ${D}`), xt(D);
-                            });
-                    }
-                    function Sr(g, x) {
-                        var P = gt;
-                        return typeof WebAssembly.instantiateStreaming != 'function' ||
-                            Mt(P) ||
-                            Ot(P) ||
-                            E ||
-                            typeof fetch != 'function'
-                            ? Ht(P, g, x)
-                            : fetch(P, { credentials: 'same-origin' }).then((D) =>
-                                  WebAssembly.instantiateStreaming(D, g).then(x, function (j) {
-                                      return (
-                                          Y(`wasm streaming compile failed: ${j}`),
-                                          Y('falling back to ArrayBuffer instantiation'),
-                                          Ht(P, g, x)
-                                      );
-                                  })
-                              );
-                    }
-                    var st,
-                        Bt = {
-                            921276: (g, x, P, D) => {
-                                if (typeof a > 'u' || !a.cb) return 1;
-                                if (
-                                    ((g = Dt(g >>> 0)),
-                                    g.startsWith('./') && (g = g.substring(2)),
-                                    (g = a.cb.get(g)),
-                                    !g)
-                                )
-                                    return 2;
-                                if (((x >>>= 0), (P >>>= 0), (D >>>= 0), x + P > g.byteLength)) return 3;
-                                try {
-                                    return s().set(g.subarray(x, x + P), D >>> 0), 0;
-                                } catch {
-                                    return 4;
-                                }
-                            },
-                        };
-                    function At(g) {
-                        (this.name = 'ExitStatus'),
-                            (this.message = `Program terminated with exit(${g})`),
-                            (this.status = g);
-                    }
-                    var It = (g) => {
-                            g.terminate(), (g.onmessage = () => {});
-                        },
-                        Ar = (g) => {
-                            se.Pa.length == 0 && (Qt(), se.Ya(se.Pa[0]));
-                            var x = se.Pa.pop();
-                            if (!x) return 6;
-                            se.Qa.push(x), (se.Ma[g.Oa] = x), (x.Oa = g.Oa);
-                            var P = { cmd: 'run', start_routine: g.kb, arg: g.hb, pthread_ptr: g.Oa };
-                            return E && x.unref(), x.postMessage(P, g.qb), 0;
-                        },
-                        Et = 0,
-                        Yt = typeof TextDecoder < 'u' ? new TextDecoder('utf8') : void 0,
-                        Ir = (g, x, P) => {
-                            x >>>= 0;
-                            var D = x + P;
-                            for (P = x; g[P] && !(P >= D); ) ++P;
-                            if (16 < P - x && g.buffer && Yt)
-                                return Yt.decode(
-                                    g.buffer instanceof SharedArrayBuffer ? g.slice(x, P) : g.subarray(x, P)
-                                );
-                            for (D = ''; x < P; ) {
-                                var j = g[x++];
-                                if (j & 128) {
-                                    var z = g[x++] & 63;
-                                    if ((j & 224) == 192) D += String.fromCharCode(((j & 31) << 6) | z);
-                                    else {
-                                        var K = g[x++] & 63;
-                                        (j =
-                                            (j & 240) == 224
-                                                ? ((j & 15) << 12) | (z << 6) | K
-                                                : ((j & 7) << 18) | (z << 12) | (K << 6) | (g[x++] & 63)),
-                                            65536 > j
-                                                ? (D += String.fromCharCode(j))
-                                                : ((j -= 65536),
-                                                  (D += String.fromCharCode(55296 | (j >> 10), 56320 | (j & 1023))));
-                                    }
-                                } else D += String.fromCharCode(j);
-                            }
-                            return D;
-                        },
-                        Dt = (g, x) => ((g >>>= 0) ? Ir(s(), g, x) : ''),
-                        Zr = (g) => {
-                            var x = xn();
-                            return (g = g()), Yr(x), g;
-                        };
-                    function H(g, x) {
-                        var P = arguments.length - 2,
-                            D = arguments;
-                        return Zr(() => {
-                            for (var j = On(8 * P), z = j >>> 3, K = 0; K < P; K++) {
-                                var $e = D[2 + K];
-                                r()[(z + K) >>> 0] = $e;
-                            }
-                            return si(g, P, j, x);
-                        });
-                    }
-                    function Kt(g) {
-                        if (A) return H(0, 1, g);
-                        (pe = g), 0 < Et || (se.lb(), a.onExit?.(g), (ue = !0)), T(g, new At(g));
-                    }
-                    var Gt = (g) => {
-                        if (((pe = g), A)) throw (Nt(g), 'unwind');
-                        Kt(g);
-                    };
-                    function Fr() {
-                        for (var g = a.numThreads; g--; ) Qt();
-                        Qe.unshift(() => {
-                            Se++, jr(() => Tt());
-                        });
-                    }
-                    function Qt() {
-                        var g = B('ort-wasm-threaded.worker.js');
-                        (g = new Worker(g)), se.Pa.push(g);
-                    }
-                    function jr(g) {
-                        A ? g() : Promise.all(se.Pa.map(se.Ya)).then(g);
-                    }
-                    var se = {
-                        Pa: [],
-                        Qa: [],
-                        bb: [],
-                        Ma: {},
-                        Wa() {
-                            A
-                                ? ((se.receiveObjectTransfer = se.jb),
-                                  (se.threadInitTLS = se.ab),
-                                  (se.setExitStatus = se.$a))
-                                : Fr();
-                        },
-                        $a: (g) => (pe = g),
-                        tb: ['$terminateWorker'],
-                        lb: () => {
-                            for (var g of se.Qa) It(g);
-                            for (g of se.Pa) It(g);
-                            (se.Pa = []), (se.Qa = []), (se.Ma = []);
-                        },
-                        Za: (g) => {
-                            var x = g.Oa;
-                            delete se.Ma[x], se.Pa.push(g), se.Qa.splice(se.Qa.indexOf(g), 1), (g.Oa = 0), wn(x);
-                        },
-                        jb() {},
-                        ab() {
-                            se.bb.forEach((g) => g());
-                        },
-                        Ya: (g) =>
-                            new Promise((x) => {
-                                (g.onmessage = (z) => {
-                                    z = z.data;
-                                    var K = z.cmd;
-                                    if (z.targetThread && z.targetThread != Hr()) {
-                                        var $e = se.Ma[z.targetThread];
-                                        $e
-                                            ? $e.postMessage(z, z.transferList)
-                                            : Y(
-                                                  `Internal error! Worker sent a message "${K}" to target pthread ${z.targetThread}, but that thread no longer exists!`
-                                              );
-                                    } else
-                                        K === 'checkMailbox'
-                                            ? qr()
-                                            : K === 'spawnThread'
-                                            ? Ar(z)
-                                            : K === 'cleanupThread'
-                                            ? se.Za(se.Ma[z.thread])
-                                            : K === 'killThread'
-                                            ? ((z = z.thread),
-                                              (K = se.Ma[z]),
-                                              delete se.Ma[z],
-                                              It(K),
-                                              wn(z),
-                                              se.Qa.splice(se.Qa.indexOf(K), 1),
-                                              (K.Oa = 0))
-                                            : K === 'cancelThread'
-                                            ? se.Ma[z.thread].postMessage({ cmd: 'cancel' })
-                                            : K === 'loaded'
-                                            ? ((g.loaded = !0), E && !g.Oa && g.unref(), x(g))
-                                            : K === 'alert'
-                                            ? alert(`Thread ${z.threadId}: ${z.text}`)
-                                            : z.target === 'setimmediate'
-                                            ? g.postMessage(z)
-                                            : K === 'callHandler'
-                                            ? a[z.handler](...z.args)
-                                            : K && Y(`worker sent an unknown command ${K}`);
-                                }),
-                                    (g.onerror = (z) => {
-                                        throw (Y(`worker sent an error! ${z.filename}:${z.lineno}: ${z.message}`), z);
-                                    }),
-                                    E &&
-                                        (g.on('message', (z) => g.onmessage({ data: z })),
-                                        g.on('error', (z) => g.onerror(z)));
-                                var P = [],
-                                    D = ['onExit'],
-                                    j;
-                                for (j of D) a.hasOwnProperty(j) && P.push(j);
-                                g.postMessage({
-                                    cmd: 'load',
-                                    handlers: P,
-                                    urlOrBlob: a.mainScriptUrlOrBlob || i,
-                                    wasmMemory: _e,
-                                    wasmModule: he,
-                                });
-                            }),
-                    };
-                    a.PThread = se;
-                    var Wt = (g) => {
-                        for (; 0 < g.length; ) g.shift()(a);
-                    };
-                    a.establishStackSpace = () => {
-                        var g = Hr(),
-                            x = f()[((g + 52) >>> 2) >>> 0];
-                        (g = f()[((g + 56) >>> 2) >>> 0]), ci(x, x - g), Yr(x);
-                    };
-                    function Nt(g) {
-                        if (A) return H(1, 0, g);
-                        Gt(g);
-                    }
-                    var Lt = [],
-                        O;
-                    a.invokeEntryPoint = (g, x) => {
-                        var P = Lt[g];
-                        P || (g >= Lt.length && (Lt.length = g + 1), (Lt[g] = P = O.get(g))),
-                            (g = P(x)),
-                            0 < Et ? se.$a(g) : vn(g);
-                    };
-                    function M(g) {
-                        (this.Va = g - 24),
-                            (this.gb = function (x) {
-                                f()[((this.Va + 4) >>> 2) >>> 0] = x;
-                            }),
-                            (this.fb = function (x) {
-                                f()[((this.Va + 8) >>> 2) >>> 0] = x;
-                            }),
-                            (this.Wa = function (x, P) {
-                                this.eb(), this.gb(x), this.fb(P);
-                            }),
-                            (this.eb = function () {
-                                f()[((this.Va + 16) >>> 2) >>> 0] = 0;
-                            });
-                    }
-                    var I = 0;
-                    function k(g, x, P, D) {
-                        return A ? H(2, 1, g, x, P, D) : G(g, x, P, D);
-                    }
-                    function G(g, x, P, D) {
-                        if (((g >>>= 0), (x >>>= 0), (P >>>= 0), (D >>>= 0), typeof SharedArrayBuffer > 'u'))
-                            return (
-                                Y(
-                                    'Current environment does not support SharedArrayBuffer, pthreads are not available!'
-                                ),
-                                6
-                            );
-                        var j = [];
-                        return A && j.length === 0
-                            ? k(g, x, P, D)
-                            : ((g = { kb: P, Oa: g, hb: D, qb: j }),
-                              A ? ((g.sb = 'spawnThread'), postMessage(g, j), 0) : Ar(g));
-                    }
-                    function ne(g, x, P) {
-                        return A ? H(3, 1, g, x, P) : 0;
-                    }
-                    function ge(g, x) {
-                        if (A) return H(4, 1, g, x);
-                    }
-                    var Ue = (g) => {
-                            for (var x = 0, P = 0; P < g.length; ++P) {
-                                var D = g.charCodeAt(P);
-                                127 >= D
-                                    ? x++
-                                    : 2047 >= D
-                                    ? (x += 2)
-                                    : 55296 <= D && 57343 >= D
-                                    ? ((x += 4), ++P)
-                                    : (x += 3);
-                            }
-                            return x;
-                        },
-                        et = (g, x, P, D) => {
-                            if (((P >>>= 0), !(0 < D))) return 0;
-                            var j = P;
-                            D = P + D - 1;
-                            for (var z = 0; z < g.length; ++z) {
-                                var K = g.charCodeAt(z);
-                                if (55296 <= K && 57343 >= K) {
-                                    var $e = g.charCodeAt(++z);
-                                    K = (65536 + ((K & 1023) << 10)) | ($e & 1023);
-                                }
-                                if (127 >= K) {
-                                    if (P >= D) break;
-                                    x[P++ >>> 0] = K;
-                                } else {
-                                    if (2047 >= K) {
-                                        if (P + 1 >= D) break;
-                                        x[P++ >>> 0] = 192 | (K >> 6);
-                                    } else {
-                                        if (65535 >= K) {
-                                            if (P + 2 >= D) break;
-                                            x[P++ >>> 0] = 224 | (K >> 12);
-                                        } else {
-                                            if (P + 3 >= D) break;
-                                            (x[P++ >>> 0] = 240 | (K >> 18)), (x[P++ >>> 0] = 128 | ((K >> 12) & 63));
-                                        }
-                                        x[P++ >>> 0] = 128 | ((K >> 6) & 63);
-                                    }
-                                    x[P++ >>> 0] = 128 | (K & 63);
-                                }
-                            }
-                            return (x[P >>> 0] = 0), P - j;
-                        },
-                        Ze = (g, x, P) => et(g, s(), x, P);
-                    function Je(g, x) {
-                        if (A) return H(5, 1, g, x);
-                    }
-                    function er(g, x, P) {
-                        if (A) return H(6, 1, g, x, P);
-                    }
-                    function tr(g, x, P) {
-                        return A ? H(7, 1, g, x, P) : 0;
-                    }
-                    function C(g, x) {
-                        if (A) return H(8, 1, g, x);
-                    }
-                    function Te(g, x, P) {
-                        if (A) return H(9, 1, g, x, P);
-                    }
-                    function Ie(g, x, P, D) {
-                        if (A) return H(10, 1, g, x, P, D);
-                    }
-                    function at(g, x, P, D) {
-                        if (A) return H(11, 1, g, x, P, D);
-                    }
-                    function lr(g, x, P, D) {
-                        if (A) return H(12, 1, g, x, P, D);
-                    }
-                    function An(g) {
-                        if (A) return H(13, 1, g);
-                    }
-                    function In(g, x) {
-                        if (A) return H(14, 1, g, x);
-                    }
-                    function jn(g, x, P) {
-                        if (A) return H(15, 1, g, x, P);
-                    }
-                    function Jr(g) {
-                        (g >>>= 0),
-                            typeof Atomics.rb == 'function' &&
-                                (Atomics.rb(d(), g >>> 2, g).value.then(qr),
-                                (g += 128),
-                                Atomics.store(d(), g >>> 2, 1));
-                    }
-                    a.__emscripten_thread_mailbox_await = Jr;
-                    var qr = () => {
-                        var g = Hr();
-                        if (g && (Jr(g), (g = ai), !ue))
-                            try {
-                                if ((g(), !(0 < Et)))
-                                    try {
-                                        A ? vn(pe) : Gt(pe);
-                                    } catch (x) {
-                                        x instanceof At || x == 'unwind' || T(1, x);
-                                    }
-                            } catch (x) {
-                                x instanceof At || x == 'unwind' || T(1, x);
-                            }
-                    };
-                    a.checkMailbox = qr;
-                    var rn = [],
-                        qt = (g) => g % 4 === 0 && (g % 100 !== 0 || g % 400 === 0),
-                        qn = [0, 31, 60, 91, 121, 152, 182, 213, 244, 274, 305, 335],
-                        Hn = [0, 31, 59, 90, 120, 151, 181, 212, 243, 273, 304, 334];
-                    function Yn(g, x, P, D, j, z, K, $e) {
-                        return A ? H(16, 1, g, x, P, D, j, z, K, $e) : -52;
-                    }
-                    function Mo(g, x, P, D, j, z, K) {
-                        if (A) return H(17, 1, g, x, P, D, j, z, K);
-                    }
-                    var No = (g) => {
-                            var x = Ue(g) + 1,
-                                P = oi(x);
-                            return P && Ze(g, P, x), P;
-                        },
-                        nn = [],
-                        on = {},
-                        Ro = () => {
-                            if (!_n) {
-                                var g = {
-                                        USER: 'web_user',
-                                        LOGNAME: 'web_user',
-                                        PATH: '/',
-                                        PWD: '/',
-                                        HOME: '/home/web_user',
-                                        LANG:
-                                            (
-                                                (typeof navigator == 'object' &&
-                                                    navigator.languages &&
-                                                    navigator.languages[0]) ||
-                                                'C'
-                                            ).replace('-', '_') + '.UTF-8',
-                                        _: y || './this.program',
-                                    },
-                                    x;
-                                for (x in on) on[x] === void 0 ? delete g[x] : (g[x] = on[x]);
-                                var P = [];
-                                for (x in g) P.push(`${x}=${g[x]}`);
-                                _n = P;
-                            }
-                            return _n;
-                        },
-                        _n;
-                    function Bo(g, x) {
-                        if (A) return H(18, 1, g, x);
-                        (g >>>= 0), (x >>>= 0);
-                        var P = 0;
-                        return (
-                            Ro().forEach((D, j) => {
-                                var z = x + P;
-                                for (j = f()[((g + 4 * j) >>> 2) >>> 0] = z, z = 0; z < D.length; ++z)
-                                    n()[(j++ >>> 0) >>> 0] = D.charCodeAt(z);
-                                (n()[(j >>> 0) >>> 0] = 0), (P += D.length + 1);
-                            }),
-                            0
-                        );
-                    }
-                    function Uo(g, x) {
-                        if (A) return H(19, 1, g, x);
-                        (g >>>= 0), (x >>>= 0);
-                        var P = Ro();
-                        f()[(g >>> 2) >>> 0] = P.length;
-                        var D = 0;
-                        return P.forEach((j) => (D += j.length + 1)), (f()[(x >>> 2) >>> 0] = D), 0;
-                    }
-                    function zo(g) {
-                        return A ? H(20, 1, g) : 52;
-                    }
-                    function Vo(g, x, P, D) {
-                        return A ? H(21, 1, g, x, P, D) : 52;
-                    }
-                    function Go(g, x, P, D, j) {
-                        return A ? H(22, 1, g, x, P, D, j) : 70;
-                    }
-                    var zs = [null, [], []];
-                    function Wo(g, x, P, D) {
-                        if (A) return H(23, 1, g, x, P, D);
-                        (x >>>= 0), (P >>>= 0), (D >>>= 0);
-                        for (var j = 0, z = 0; z < P; z++) {
-                            var K = f()[(x >>> 2) >>> 0],
-                                $e = f()[((x + 4) >>> 2) >>> 0];
-                            x += 8;
-                            for (var ct = 0; ct < $e; ct++) {
-                                var ze = s()[(K + ct) >>> 0],
-                                    it = zs[g];
-                                ze === 0 || ze === 10 ? ((g === 1 ? Me : Y)(Ir(it, 0)), (it.length = 0)) : it.push(ze);
-                            }
-                            j += $e;
-                        }
-                        return (f()[(D >>> 2) >>> 0] = j), 0;
-                    }
-                    var Jo = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31],
-                        ti = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
-                    function Vs(g) {
-                        var x = Array(Ue(g) + 1);
-                        return et(g, x, 0, x.length), x;
-                    }
-                    var Gs = (g, x) => {
-                        n().set(g, x >>> 0);
-                    };
-                    function ri(g, x, P, D) {
-                        function j(N, Ae, Le) {
-                            for (N = typeof N == 'number' ? N.toString() : N || ''; N.length < Ae; ) N = Le[0] + N;
-                            return N;
-                        }
-                        function z(N, Ae) {
-                            return j(N, Ae, '0');
-                        }
-                        function K(N, Ae) {
-                            function Le(Ns) {
-                                return 0 > Ns ? -1 : 0 < Ns ? 1 : 0;
-                            }
-                            var Rt;
-                            return (
-                                (Rt = Le(N.getFullYear() - Ae.getFullYear())) === 0 &&
-                                    (Rt = Le(N.getMonth() - Ae.getMonth())) === 0 &&
-                                    (Rt = Le(N.getDate() - Ae.getDate())),
-                                Rt
-                            );
-                        }
-                        function $e(N) {
-                            switch (N.getDay()) {
-                                case 0:
-                                    return new Date(N.getFullYear() - 1, 11, 29);
-                                case 1:
-                                    return N;
-                                case 2:
-                                    return new Date(N.getFullYear(), 0, 3);
-                                case 3:
-                                    return new Date(N.getFullYear(), 0, 2);
-                                case 4:
-                                    return new Date(N.getFullYear(), 0, 1);
-                                case 5:
-                                    return new Date(N.getFullYear() - 1, 11, 31);
-                                case 6:
-                                    return new Date(N.getFullYear() - 1, 11, 30);
-                            }
-                        }
-                        function ct(N) {
-                            var Ae = N.Ra;
-                            for (N = new Date(new Date(N.Sa + 1900, 0, 1).getTime()); 0 < Ae; ) {
-                                var Le = N.getMonth(),
-                                    Rt = (qt(N.getFullYear()) ? Jo : ti)[Le];
-                                if (Ae > Rt - N.getDate())
-                                    (Ae -= Rt - N.getDate() + 1),
-                                        N.setDate(1),
-                                        11 > Le
-                                            ? N.setMonth(Le + 1)
-                                            : (N.setMonth(0), N.setFullYear(N.getFullYear() + 1));
-                                else {
-                                    N.setDate(N.getDate() + Ae);
-                                    break;
-                                }
-                            }
-                            return (
-                                (Le = new Date(N.getFullYear() + 1, 0, 4)),
-                                (Ae = $e(new Date(N.getFullYear(), 0, 4))),
-                                (Le = $e(Le)),
-                                0 >= K(Ae, N)
-                                    ? 0 >= K(Le, N)
-                                        ? N.getFullYear() + 1
-                                        : N.getFullYear()
-                                    : N.getFullYear() - 1
-                            );
-                        }
-                        (g >>>= 0), (x >>>= 0), (P >>>= 0), (D >>>= 0);
-                        var ze = f()[((D + 40) >>> 2) >>> 0];
-                        (D = {
-                            ob: d()[(D >>> 2) >>> 0],
-                            nb: d()[((D + 4) >>> 2) >>> 0],
-                            Ta: d()[((D + 8) >>> 2) >>> 0],
-                            Xa: d()[((D + 12) >>> 2) >>> 0],
-                            Ua: d()[((D + 16) >>> 2) >>> 0],
-                            Sa: d()[((D + 20) >>> 2) >>> 0],
-                            Na: d()[((D + 24) >>> 2) >>> 0],
-                            Ra: d()[((D + 28) >>> 2) >>> 0],
-                            ub: d()[((D + 32) >>> 2) >>> 0],
-                            mb: d()[((D + 36) >>> 2) >>> 0],
-                            pb: ze ? Dt(ze) : '',
-                        }),
-                            (P = Dt(P)),
-                            (ze = {
-                                '%c': '%a %b %d %H:%M:%S %Y',
-                                '%D': '%m/%d/%y',
-                                '%F': '%Y-%m-%d',
-                                '%h': '%b',
-                                '%r': '%I:%M:%S %p',
-                                '%R': '%H:%M',
-                                '%T': '%H:%M:%S',
-                                '%x': '%m/%d/%y',
-                                '%X': '%H:%M:%S',
-                                '%Ec': '%c',
-                                '%EC': '%C',
-                                '%Ex': '%m/%d/%y',
-                                '%EX': '%H:%M:%S',
-                                '%Ey': '%y',
-                                '%EY': '%Y',
-                                '%Od': '%d',
-                                '%Oe': '%e',
-                                '%OH': '%H',
-                                '%OI': '%I',
-                                '%Om': '%m',
-                                '%OM': '%M',
-                                '%OS': '%S',
-                                '%Ou': '%u',
-                                '%OU': '%U',
-                                '%OV': '%V',
-                                '%Ow': '%w',
-                                '%OW': '%W',
-                                '%Oy': '%y',
-                            });
-                        for (var it in ze) P = P.replace(new RegExp(it, 'g'), ze[it]);
-                        var fi = 'Sunday Monday Tuesday Wednesday Thursday Friday Saturday'.split(' '),
-                            Cs =
-                                'January February March April May June July August September October November December'.split(
-                                    ' '
-                                );
-                        (ze = {
-                            '%a': (N) => fi[N.Na].substring(0, 3),
-                            '%A': (N) => fi[N.Na],
-                            '%b': (N) => Cs[N.Ua].substring(0, 3),
-                            '%B': (N) => Cs[N.Ua],
-                            '%C': (N) => z(((N.Sa + 1900) / 100) | 0, 2),
-                            '%d': (N) => z(N.Xa, 2),
-                            '%e': (N) => j(N.Xa, 2, ' '),
-                            '%g': (N) => ct(N).toString().substring(2),
-                            '%G': (N) => ct(N),
-                            '%H': (N) => z(N.Ta, 2),
-                            '%I': (N) => ((N = N.Ta), N == 0 ? (N = 12) : 12 < N && (N -= 12), z(N, 2)),
-                            '%j': (N) => {
-                                for (var Ae = 0, Le = 0; Le <= N.Ua - 1; Ae += (qt(N.Sa + 1900) ? Jo : ti)[Le++]);
-                                return z(N.Xa + Ae, 3);
-                            },
-                            '%m': (N) => z(N.Ua + 1, 2),
-                            '%M': (N) => z(N.nb, 2),
-                            '%n': () => `
-`,
-                            '%p': (N) => (0 <= N.Ta && 12 > N.Ta ? 'AM' : 'PM'),
-                            '%S': (N) => z(N.ob, 2),
-                            '%t': () => '	',
-                            '%u': (N) => N.Na || 7,
-                            '%U': (N) => z(Math.floor((N.Ra + 7 - N.Na) / 7), 2),
-                            '%V': (N) => {
-                                var Ae = Math.floor((N.Ra + 7 - ((N.Na + 6) % 7)) / 7);
-                                if ((2 >= (N.Na + 371 - N.Ra - 2) % 7 && Ae++, Ae))
-                                    Ae == 53 &&
-                                        ((Le = (N.Na + 371 - N.Ra) % 7), Le == 4 || (Le == 3 && qt(N.Sa)) || (Ae = 1));
-                                else {
-                                    Ae = 52;
-                                    var Le = (N.Na + 7 - N.Ra - 1) % 7;
-                                    (Le == 4 || (Le == 5 && qt((N.Sa % 400) - 1))) && Ae++;
-                                }
-                                return z(Ae, 2);
-                            },
-                            '%w': (N) => N.Na,
-                            '%W': (N) => z(Math.floor((N.Ra + 7 - ((N.Na + 6) % 7)) / 7), 2),
-                            '%y': (N) => (N.Sa + 1900).toString().substring(2),
-                            '%Y': (N) => N.Sa + 1900,
-                            '%z': (N) => {
-                                N = N.mb;
-                                var Ae = 0 <= N;
-                                return (
-                                    (N = Math.abs(N) / 60),
-                                    (Ae ? '+' : '-') + ('0000' + ((N / 60) * 100 + (N % 60))).slice(-4)
-                                );
-                            },
-                            '%Z': (N) => N.pb,
-                            '%%': () => '%',
-                        }),
-                            (P = P.replace(/%%/g, '\0\0'));
-                        for (it in ze) P.includes(it) && (P = P.replace(new RegExp(it, 'g'), ze[it](D)));
-                        return (
-                            (P = P.replace(/\0\0/g, '%')), (it = Vs(P)), it.length > x ? 0 : (Gs(it, g), it.length - 1)
-                        );
-                    }
-                    se.Wa();
-                    var Ws = [
-                            Kt,
-                            Nt,
-                            k,
-                            ne,
-                            ge,
-                            Je,
-                            er,
-                            tr,
-                            C,
-                            Te,
-                            Ie,
-                            at,
-                            lr,
-                            An,
-                            In,
-                            jn,
-                            Yn,
-                            Mo,
-                            Bo,
-                            Uo,
-                            zo,
-                            Vo,
-                            Go,
-                            Wo,
-                        ],
-                        qs = {
-                            b: function (g, x, P) {
-                                throw ((g >>>= 0), new M(g).Wa(x >>> 0, P >>> 0), (I = g), I);
-                            },
-                            L: function (g) {
-                                ii(g >>> 0, !S, 1, !v, 131072, !1), se.ab();
-                            },
-                            j: function (g) {
-                                (g >>>= 0), A ? postMessage({ cmd: 'cleanupThread', thread: g }) : se.Za(se.Ma[g]);
-                            },
-                            H: G,
-                            h: ne,
-                            S: ge,
-                            D: Je,
-                            F: er,
-                            T: tr,
-                            Q: C,
-                            J: Te,
-                            P: Ie,
-                            n: at,
-                            E: lr,
-                            B: An,
-                            R: In,
-                            C: jn,
-                            p: () => 1,
-                            z: function (g, x) {
-                                (g >>>= 0),
-                                    g == x >>> 0
-                                        ? setTimeout(() => qr())
-                                        : A
-                                        ? postMessage({ targetThread: g, cmd: 'checkMailbox' })
-                                        : (g = se.Ma[g]) && g.postMessage({ cmd: 'checkMailbox' });
-                            },
-                            I: function (g, x, P, D) {
-                                (x >>>= 0), (rn.length = P), (D = (D >>> 0) >>> 3);
-                                for (var j = 0; j < P; j++) rn[j] = r()[(D + j) >>> 0];
-                                return (
-                                    (g = 0 > g ? Bt[-g - 1] : Ws[g]),
-                                    (se.ib = x),
-                                    (x = g.apply(null, rn)),
-                                    (se.ib = 0),
-                                    x
-                                );
-                            },
-                            K: Jr,
-                            o: function (g) {
-                                E && se.Ma[g >>> 0].ref();
-                            },
-                            s: function (g, x, P) {
-                                (g = (x + 2097152) >>> 0 < 4194305 - !!g ? (g >>> 0) + 4294967296 * x : NaN),
-                                    (P >>>= 0),
-                                    (g = new Date(1e3 * g)),
-                                    (d()[(P >>> 2) >>> 0] = g.getUTCSeconds()),
-                                    (d()[((P + 4) >>> 2) >>> 0] = g.getUTCMinutes()),
-                                    (d()[((P + 8) >>> 2) >>> 0] = g.getUTCHours()),
-                                    (d()[((P + 12) >>> 2) >>> 0] = g.getUTCDate()),
-                                    (d()[((P + 16) >>> 2) >>> 0] = g.getUTCMonth()),
-                                    (d()[((P + 20) >>> 2) >>> 0] = g.getUTCFullYear() - 1900),
-                                    (d()[((P + 24) >>> 2) >>> 0] = g.getUTCDay()),
-                                    (g = ((g.getTime() - Date.UTC(g.getUTCFullYear(), 0, 1, 0, 0, 0, 0)) / 864e5) | 0),
-                                    (d()[((P + 28) >>> 2) >>> 0] = g);
-                            },
-                            t: function (g, x, P) {
-                                (g = (x + 2097152) >>> 0 < 4194305 - !!g ? (g >>> 0) + 4294967296 * x : NaN),
-                                    (P >>>= 0),
-                                    (g = new Date(1e3 * g)),
-                                    (d()[(P >>> 2) >>> 0] = g.getSeconds()),
-                                    (d()[((P + 4) >>> 2) >>> 0] = g.getMinutes()),
-                                    (d()[((P + 8) >>> 2) >>> 0] = g.getHours()),
-                                    (d()[((P + 12) >>> 2) >>> 0] = g.getDate()),
-                                    (d()[((P + 16) >>> 2) >>> 0] = g.getMonth()),
-                                    (d()[((P + 20) >>> 2) >>> 0] = g.getFullYear() - 1900),
-                                    (d()[((P + 24) >>> 2) >>> 0] = g.getDay()),
-                                    (x = ((qt(g.getFullYear()) ? qn : Hn)[g.getMonth()] + g.getDate() - 1) | 0),
-                                    (d()[((P + 28) >>> 2) >>> 0] = x),
-                                    (d()[((P + 36) >>> 2) >>> 0] = -(60 * g.getTimezoneOffset())),
-                                    (x = new Date(g.getFullYear(), 6, 1).getTimezoneOffset());
-                                var D = new Date(g.getFullYear(), 0, 1).getTimezoneOffset();
-                                (g = (x != D && g.getTimezoneOffset() == Math.min(D, x)) | 0),
-                                    (d()[((P + 32) >>> 2) >>> 0] = g);
-                            },
-                            u: function (g) {
-                                g >>>= 0;
-                                var x = new Date(
-                                        d()[((g + 20) >>> 2) >>> 0] + 1900,
-                                        d()[((g + 16) >>> 2) >>> 0],
-                                        d()[((g + 12) >>> 2) >>> 0],
-                                        d()[((g + 8) >>> 2) >>> 0],
-                                        d()[((g + 4) >>> 2) >>> 0],
-                                        d()[(g >>> 2) >>> 0],
-                                        0
-                                    ),
-                                    P = d()[((g + 32) >>> 2) >>> 0],
-                                    D = x.getTimezoneOffset(),
-                                    j = new Date(x.getFullYear(), 6, 1).getTimezoneOffset(),
-                                    z = new Date(x.getFullYear(), 0, 1).getTimezoneOffset(),
-                                    K = Math.min(z, j);
-                                return (
-                                    0 > P
-                                        ? (d()[((g + 32) >>> 2) >>> 0] = +(j != z && K == D))
-                                        : 0 < P != (K == D) &&
-                                          ((j = Math.max(z, j)), x.setTime(x.getTime() + 6e4 * ((0 < P ? K : j) - D))),
-                                    (d()[((g + 24) >>> 2) >>> 0] = x.getDay()),
-                                    (P = ((qt(x.getFullYear()) ? qn : Hn)[x.getMonth()] + x.getDate() - 1) | 0),
-                                    (d()[((g + 28) >>> 2) >>> 0] = P),
-                                    (d()[(g >>> 2) >>> 0] = x.getSeconds()),
-                                    (d()[((g + 4) >>> 2) >>> 0] = x.getMinutes()),
-                                    (d()[((g + 8) >>> 2) >>> 0] = x.getHours()),
-                                    (d()[((g + 12) >>> 2) >>> 0] = x.getDate()),
-                                    (d()[((g + 16) >>> 2) >>> 0] = x.getMonth()),
-                                    (d()[((g + 20) >>> 2) >>> 0] = x.getYear()),
-                                    (g = x.getTime()),
-                                    isNaN(g) ? ((d()[(ni() >>> 2) >>> 0] = 61), (g = -1)) : (g /= 1e3),
-                                    ui(
-                                        ((st = g),
-                                        1 <= +Math.abs(st)
-                                            ? 0 < st
-                                                ? +Math.floor(st / 4294967296) >>> 0
-                                                : ~~+Math.ceil((st - +(~~st >>> 0)) / 4294967296) >>> 0
-                                            : 0)
-                                    ),
-                                    g >>> 0
-                                );
-                            },
-                            q: Yn,
-                            r: Mo,
-                            y: function (g, x, P) {
-                                function D(ze) {
-                                    return (ze = ze.toTimeString().match(/\(([A-Za-z ]+)\)$/)) ? ze[1] : 'GMT';
-                                }
-                                (g >>>= 0), (x >>>= 0), (P >>>= 0);
-                                var j = new Date().getFullYear(),
-                                    z = new Date(j, 0, 1),
-                                    K = new Date(j, 6, 1);
-                                j = z.getTimezoneOffset();
-                                var $e = K.getTimezoneOffset(),
-                                    ct = Math.max(j, $e);
-                                (f()[(g >>> 2) >>> 0] = 60 * ct),
-                                    (d()[(x >>> 2) >>> 0] = +(j != $e)),
-                                    (g = D(z)),
-                                    (x = D(K)),
-                                    (g = No(g)),
-                                    (x = No(x)),
-                                    $e < j
-                                        ? ((f()[(P >>> 2) >>> 0] = g), (f()[((P + 4) >>> 2) >>> 0] = x))
-                                        : ((f()[(P >>> 2) >>> 0] = x), (f()[((P + 4) >>> 2) >>> 0] = g));
-                            },
-                            c: () => {
-                                xt('');
-                            },
-                            O: function (g, x, P) {
-                                (g >>>= 0), (x >>>= 0), (P >>>= 0), (nn.length = 0);
-                                for (var D; (D = s()[x++ >>> 0]); ) {
-                                    var j = D != 105;
-                                    (j &= D != 112),
-                                        (P += j && P % 8 ? 4 : 0),
-                                        nn.push(
-                                            D == 112
-                                                ? f()[(P >>> 2) >>> 0]
-                                                : D == 105
-                                                ? d()[(P >>> 2) >>> 0]
-                                                : r()[(P >>> 3) >>> 0]
-                                        ),
-                                        (P += j ? 8 : 4);
-                                }
-                                return Bt[g].apply(null, nn);
-                            },
-                            k: () => {},
-                            i: () => Date.now(),
-                            U: () => {
-                                throw ((Et += 1), 'unwind');
-                            },
-                            A: function () {
-                                return 4294901760;
-                            },
-                            e: () => performance.timeOrigin + performance.now(),
-                            f: () => (E ? (Lp(), rr(Dp)).cpus().length : navigator.hardwareConcurrency),
-                            x: function (g) {
-                                g >>>= 0;
-                                var x = s().length;
-                                if (g <= x || 4294901760 < g) return !1;
-                                for (var P = 1; 4 >= P; P *= 2) {
-                                    var D = x * (1 + 0.2 / P);
-                                    D = Math.min(D, g + 100663296);
-                                    var j = Math;
-                                    D = Math.max(g, D);
-                                    e: {
-                                        j =
-                                            (j.min.call(j, 4294901760, D + ((65536 - (D % 65536)) % 65536)) -
-                                                _e.buffer.byteLength +
-                                                65535) /
-                                            65536;
-                                        try {
-                                            _e.grow(j), qe();
-                                            var z = 1;
-                                            break e;
-                                        } catch {}
-                                        z = void 0;
-                                    }
-                                    if (z) return !0;
-                                }
-                                return !1;
-                            },
-                            M: Bo,
-                            N: Uo,
-                            G: Gt,
-                            g: zo,
-                            m: Vo,
-                            v: Go,
-                            l: Wo,
-                            a: _e || a.wasmMemory,
-                            w: ri,
-                            d: function (g, x, P, D) {
-                                return ri(g >>> 0, x >>> 0, P >>> 0, D >>> 0);
-                            },
-                        },
-                        ie = (function () {
-                            function g(P, D) {
-                                return (
-                                    (ie = P.exports),
-                                    (ie = Hs()),
-                                    se.bb.push(ie.za),
-                                    (O = ie.Aa),
-                                    Be.unshift(ie.V),
-                                    (he = D),
-                                    Tt(),
-                                    ie
-                                );
-                            }
-                            var x = { a: qs };
-                            if ((Se++, a.instantiateWasm))
-                                try {
-                                    return a.instantiateWasm(x, g);
-                                } catch (P) {
-                                    Y(`Module.instantiateWasm callback failed with error: ${P}`), p(P);
-                                }
-                            return (
-                                Sr(x, function (P) {
-                                    g(P.instance, P.module);
-                                }).catch(p),
-                                {}
-                            );
-                        })();
-                    (a._OrtInit = (g, x) => (a._OrtInit = ie.W)(g, x)),
-                        (a._OrtGetLastError = (g, x) => (a._OrtGetLastError = ie.X)(g, x)),
-                        (a._OrtCreateSessionOptions = (g, x, P, D, j, z, K, $e, ct, ze) =>
-                            (a._OrtCreateSessionOptions = ie.Y)(g, x, P, D, j, z, K, $e, ct, ze)),
-                        (a._OrtAppendExecutionProvider = (g, x) => (a._OrtAppendExecutionProvider = ie.Z)(g, x)),
-                        (a._OrtAddFreeDimensionOverride = (g, x, P) =>
-                            (a._OrtAddFreeDimensionOverride = ie._)(g, x, P)),
-                        (a._OrtAddSessionConfigEntry = (g, x, P) => (a._OrtAddSessionConfigEntry = ie.$)(g, x, P)),
-                        (a._OrtReleaseSessionOptions = (g) => (a._OrtReleaseSessionOptions = ie.aa)(g)),
-                        (a._OrtCreateSession = (g, x, P) => (a._OrtCreateSession = ie.ba)(g, x, P)),
-                        (a._OrtReleaseSession = (g) => (a._OrtReleaseSession = ie.ca)(g)),
-                        (a._OrtGetInputOutputCount = (g, x, P) => (a._OrtGetInputOutputCount = ie.da)(g, x, P)),
-                        (a._OrtGetInputName = (g, x) => (a._OrtGetInputName = ie.ea)(g, x)),
-                        (a._OrtGetOutputName = (g, x) => (a._OrtGetOutputName = ie.fa)(g, x)),
-                        (a._OrtFree = (g) => (a._OrtFree = ie.ga)(g)),
-                        (a._OrtCreateTensor = (g, x, P, D, j, z) => (a._OrtCreateTensor = ie.ha)(g, x, P, D, j, z)),
-                        (a._OrtGetTensorData = (g, x, P, D, j) => (a._OrtGetTensorData = ie.ia)(g, x, P, D, j)),
-                        (a._OrtReleaseTensor = (g) => (a._OrtReleaseTensor = ie.ja)(g)),
-                        (a._OrtCreateRunOptions = (g, x, P, D) => (a._OrtCreateRunOptions = ie.ka)(g, x, P, D)),
-                        (a._OrtAddRunConfigEntry = (g, x, P) => (a._OrtAddRunConfigEntry = ie.la)(g, x, P)),
-                        (a._OrtReleaseRunOptions = (g) => (a._OrtReleaseRunOptions = ie.ma)(g)),
-                        (a._OrtCreateBinding = (g) => (a._OrtCreateBinding = ie.na)(g)),
-                        (a._OrtBindInput = (g, x, P) => (a._OrtBindInput = ie.oa)(g, x, P)),
-                        (a._OrtBindOutput = (g, x, P, D) => (a._OrtBindOutput = ie.pa)(g, x, P, D)),
-                        (a._OrtClearBoundOutputs = (g) => (a._OrtClearBoundOutputs = ie.qa)(g)),
-                        (a._OrtReleaseBinding = (g) => (a._OrtReleaseBinding = ie.ra)(g)),
-                        (a._OrtRunWithBinding = (g, x, P, D, j) => (a._OrtRunWithBinding = ie.sa)(g, x, P, D, j)),
-                        (a._OrtRun = (g, x, P, D, j, z, K, $e) => (a._OrtRun = ie.ta)(g, x, P, D, j, z, K, $e)),
-                        (a._OrtEndProfiling = (g) => (a._OrtEndProfiling = ie.ua)(g));
-                    var ni = () => (ni = ie.va)(),
-                        Hr = (a._pthread_self = () => (Hr = a._pthread_self = ie.wa)()),
-                        oi = (a._malloc = (g) => (oi = a._malloc = ie.xa)(g));
-                    (a._free = (g) => (a._free = ie.ya)(g)),
-                        (a.__emscripten_tls_init = () => (a.__emscripten_tls_init = ie.za)());
-                    var ii = (a.__emscripten_thread_init = (g, x, P, D, j, z) =>
-                        (ii = a.__emscripten_thread_init = ie.Ba)(g, x, P, D, j, z));
-                    a.__emscripten_thread_crashed = () => (a.__emscripten_thread_crashed = ie.Ca)();
-                    var si = (g, x, P, D) => (si = ie.Da)(g, x, P, D),
-                        wn = (g) => (wn = ie.Ea)(g),
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-                                            ? r || (d ?? S) + f
-                                            : S + v,
-                                };
-                            if (u)
-                                if (((T.numThreads = o), typeof Blob > 'u'))
-                                    T.mainScriptUrlOrBlob = (void 0)(__dirname, 'ort-wasm-threaded.js');
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-                                    let v = `var ortWasmThreaded=${y.toString()};`;
-                                    T.mainScriptUrlOrBlob = new Blob([v], { type: 'text/javascript' });
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-                    if (typeof n == 'object') bn(n, s + '.', o, i);
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-                            bn(t.extra, '', new WeakSet(), (s, d) => {
-                                let f = De(s, i),
-                                    r = De(d, i);
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-                                    Oe(`Can't set a run config entry: ${s} - ${d}.`);
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-                                    Ee()._OrtAddSessionConfigEntry(t, d, f) !== 0 &&
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-                                    let f = De('numThreads', o),
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-                                        Oe(
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-                            break;
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-                            if (((u = 'JS'), typeof i != 'string')) {
-                                let s = i;
-                                if (s?.preferredLayout) {
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-                                        throw new Error(
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-                                    let d = De('preferredLayout', o),
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-                                    Ee()._OrtAddSessionConfigEntry(t, d, f) !== 0 &&
-                                        Oe(
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-                            break;
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-                                throw new Error(`free dimension override name must be a string: ${l}`);
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-                                Oe(`Can't set a free dimension override: ${l} - ${p}.`);
-                        }
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-                            bn(u.extra, '', new WeakSet(), (l, p) => {
-                                let m = De(l, i),
-                                    y = De(p, i);
-                                e._OrtAddSessionConfigEntry(o, m, y) !== 0 &&
-                                    Oe(`Can't set a session config entry: ${l} - ${p}.`);
-                            }),
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-                            n;
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-                        for (let T = 0; T < m.length; T++) {
-                            if (typeof m[T] != 'string')
-                                throw new TypeError(`tensor data at index ${T} is not a string`);
-                            n.HEAPU32[y++] = De(m[T], o);
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-                            let ot = s.HEAPU32[we++],
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-                            s._OrtFree(ot);
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-                            X = Vp(rt);
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-                                (pe = !0),
-                                    Me.push([
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-                            new Promise((t, e) => {
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-                    : pa(t)),
-            (ad = async (t, e) => {
-                if (xr()) {
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-                    return (
-                        Wr(),
-                        new Promise((o, i) => {
-                            Vr('create', [o, i]);
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-                    if (o.some((s) => s[3] !== 'cpu'))
-                        throw new Error('input tensor on GPU is not supported for proxy.');
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-                    return (
-                        Wr(),
-                        new Promise((s, d) => {
-                            Vr('run', [s, d]);
-                            let f = o,
-                                r = {
-                                    type: 'run',
-                                    in: { sessionId: t, inputIndices: e, inputs: f, outputIndices: i, options: n },
-                                };
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-                    );
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-                    return (
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-    yg,
-    Co,
-    cd = L(() => {
-        vt(),
-            ma(),
-            fa(),
-            ca(),
-            (fd = (t, e) => {
-                switch (t.location) {
-                    case 'cpu':
-                        return [t.type, t.dims, t.data, 'cpu'];
-                    case 'gpu-buffer':
-                        return [t.type, t.dims, { gpuBuffer: t.gpuBuffer }, 'gpu-buffer'];
-                    default:
-                        throw new Error(`invalid data location: ${t.location} for ${e()}`);
-                }
-            }),
-            (yg = (t) => {
-                switch (t[3]) {
-                    case 'cpu':
-                        return new Re(t[0], t[2], t[1]);
-                    case 'gpu-buffer': {
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-                        if (!Do(e)) throw new Error(`not supported data type: ${e} for deserializing GPU tensor`);
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-                        return Re.fromGpuBuffer(o, { dataType: e, dims: t[1], download: i, dispose: u });
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-                        throw new Error(`invalid data location: ${t[3]}`);
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-                async fetchModelAndCopyToWasmMemory(t) {
-                    return id(await gn(t));
-                }
-                async loadModel(t, e) {
-                    ar();
-                    let o;
-                    typeof t == 'string'
-                        ? typeof process < 'u' && process.versions && process.versions.node
-                            ? (o = await gn(t))
-                            : (o = await this.fetchModelAndCopyToWasmMemory(t))
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-                        ([this.sessionId, this.inputNames, this.outputNames] = await ad(o, e)),
-                        sr();
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-                async dispose() {
-                    return sd(this.sessionId);
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-                async run(t, e, o) {
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-                            m = l[1],
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-                    });
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-                        r = await ud(this.sessionId, u, d, s, f, o),
-                        a = {};
-                    for (let l = 0; l < r.length; l++) a[this.outputNames[s[l]]] = n[l] ?? yg(r[l]);
-                    return sr(), a;
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-    ko,
-    pd = L(() => {
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-            cd(),
-            (Tg = () => {
-                if (
-                    ((typeof Z.wasm.initTimeout != 'number' || Z.wasm.initTimeout < 0) && (Z.wasm.initTimeout = 0),
-                    typeof Z.wasm.simd != 'boolean' && (Z.wasm.simd = !0),
-                    typeof Z.wasm.proxy != 'boolean' && (Z.wasm.proxy = !1),
-                    typeof Z.wasm.trace != 'boolean' && (Z.wasm.trace = !1),
-                    typeof Z.wasm.numThreads != 'number' ||
-                        !Number.isInteger(Z.wasm.numThreads) ||
-                        Z.wasm.numThreads <= 0)
-                ) {
-                    ((typeof self < 'u' && !self.crossOriginIsolated) ||
-                        (typeof process < 'u' && process.versions && process.versions.node)) &&
-                        (Z.wasm.numThreads = 1);
-                    let t = typeof navigator > 'u' ? (void 0)().length : navigator.hardwareConcurrency;
-                    Z.wasm.numThreads = Math.min(4, Math.ceil((t || 1) / 2));
-                }
-            }),
-            (ko = class {
-                async init(t) {
-                    Tg(), await nd(), await od(t);
-                }
-                async createInferenceSessionHandler(t, e) {
-                    let o = new Co();
-                    return await o.loadModel(t, e), Promise.resolve(o);
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-    }),
-    dd = {};
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-var xg,
-    hd = L(() => {
-        pd(), (xg = new ko());
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-vt();
-vt();
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-var ys = '1.17.1',
-    zO = Yo;
-{
-    let t = (_p(), rr(wp)).onnxjsBackend;
-    or('webgl', t, -10);
-}
-{
-    let t = (hd(), rr(dd)).wasmBackend;
-    or('cpu', t, 10), or('wasm', t, 10), or('webnn', t, 9);
-}
-Object.defineProperty(Z.versions, 'web', { value: ys, enumerable: !0 });
-/*! Bundled license information:
-
-long/index.js:
-  (**
-   * @license
-   * Copyright 2009 The Closure Library Authors
-   * Copyright 2020 Daniel Wirtz / The long.js Authors.
-   *
-   * Licensed under the Apache License, Version 2.0 (the "License");
-   * you may not use this file except in compliance with the License.
-   * You may obtain a copy of the License at
-   *
-   *     http://www.apache.org/licenses/LICENSE-2.0
-   *
-   * Unless required by applicable law or agreed to in writing, software
-   * distributed under the License is distributed on an "AS IS" BASIS,
-   * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-   * See the License for the specific language governing permissions and
-   * limitations under the License.
-   *
-   * SPDX-License-Identifier: Apache-2.0
-   *)
-*/ const ONNX_WEB = Object.freeze(
-        Object.defineProperty(
-            {
-                __proto__: null,
-                get InferenceSession() {
-                    return Sd;
-                },
-                get TRACE() {
-                    return cs;
-                },
-                get TRACE_FUNC_BEGIN() {
-                    return ar;
-                },
-                get TRACE_FUNC_END() {
-                    return sr;
-                },
-                get Tensor() {
-                    return Re;
-                },
-                get TrainingSession() {
-                    return Pd;
-                },
-                default: zO,
-                get env() {
-                    return Z;
-                },
-                get registerBackend() {
-                    return or;
-                },
-            },
-            Symbol.toStringTag,
-            { value: 'Module' }
-        )
-    ),
-    tensorToDataURL = (t, e) => {
-        const o = typeof document < 'u' ? document.createElement('canvas') : new OffscreenCanvas(1, 1);
-        (o.width = t.dims[3]), (o.height = t.dims[2]);
-        const i = o.getContext('2d');
-        if (i != null) {
-            let u, n;
-            e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
-                ? ((u = t.dims[2]), (n = t.dims[3]))
-                : ((u = t.dims[3]), (n = t.dims[2]));
-            const s = e?.format !== void 0 ? e.format : 'RGB',
-                d = e?.norm;
-            let f, r;
-            d === void 0 || d.mean === void 0
-                ? (f = [255, 255, 255, 255])
-                : typeof d.mean == 'number'
-                ? (f = [d.mean, d.mean, d.mean, d.mean])
-                : ((f = [d.mean[0], d.mean[1], d.mean[2], 0]), d.mean[3] !== void 0 && (f[3] = d.mean[3])),
-                d === void 0 || d.bias === void 0
-                    ? (r = [0, 0, 0, 0])
-                    : typeof d.bias == 'number'
-                    ? (r = [d.bias, d.bias, d.bias, d.bias])
-                    : ((r = [d.bias[0], d.bias[1], d.bias[2], 0]), d.bias[3] !== void 0 && (r[3] = d.bias[3]));
-            const a = n * u;
-            let l = 0,
-                p = a,
-                m = a * 2,
-                y = -1;
-            s === 'RGBA'
-                ? ((l = 0), (p = a), (m = a * 2), (y = a * 3))
-                : s === 'RGB'
-                ? ((l = 0), (p = a), (m = a * 2))
-                : s === 'RBG' && ((l = 0), (m = a), (p = a * 2));
-            for (let T = 0; T < n; T++)
-                for (let v = 0; v < u; v++) {
-                    const S = (t.data[l++] - r[0]) * f[0],
-                        E = (t.data[p++] - r[1]) * f[1],
-                        A = (t.data[m++] - r[2]) * f[2],
-                        F = y === -1 ? 255 : (t.data[y++] - r[3]) * f[3];
-                    (i.fillStyle = 'rgba(' + S + ',' + E + ',' + A + ',' + F + ')'), i.fillRect(v, T, 1, 1);
-                }
-            if ('toDataURL' in o) return o.toDataURL();
-            throw new Error('toDataURL is not supported');
-        } else throw new Error('Can not access image data');
-    },
-    tensorToImageData = (t, e) => {
-        const o =
-            typeof document < 'u'
-                ? document.createElement('canvas').getContext('2d')
-                : new OffscreenCanvas(1, 1).getContext('2d');
-        let i;
-        if (o != null) {
-            let u, n, s;
-            e?.tensorLayout !== void 0 && e.tensorLayout === 'NHWC'
-                ? ((u = t.dims[2]), (n = t.dims[1]), (s = t.dims[3]))
-                : ((u = t.dims[3]), (n = t.dims[2]), (s = t.dims[1]));
-            const d = e !== void 0 && e.format !== void 0 ? e.format : 'RGB',
-                f = e?.norm;
-            let r, a;
-            f === void 0 || f.mean === void 0
-                ? (r = [255, 255, 255, 255])
-                : typeof f.mean == 'number'
-                ? (r = [f.mean, f.mean, f.mean, f.mean])
-                : ((r = [f.mean[0], f.mean[1], f.mean[2], 255]), f.mean[3] !== void 0 && (r[3] = f.mean[3])),
-                f === void 0 || f.bias === void 0
-                    ? (a = [0, 0, 0, 0])
-                    : typeof f.bias == 'number'
-                    ? (a = [f.bias, f.bias, f.bias, f.bias])
-                    : ((a = [f.bias[0], f.bias[1], f.bias[2], 0]), f.bias[3] !== void 0 && (a[3] = f.bias[3]));
-            const l = n * u;
-            if (
-                e !== void 0 &&
-                ((e.format !== void 0 && s === 4 && e.format !== 'RGBA') ||
-                    (s === 3 && e.format !== 'RGB' && e.format !== 'BGR'))
-            )
-                throw new Error("Tensor format doesn't match input tensor dims");
-            const p = 4;
-            let m = 0,
-                y = 1,
-                T = 2,
-                v = 3,
-                S = 0,
-                E = l,
-                A = l * 2,
-                F = -1;
-            d === 'RGBA'
-                ? ((S = 0), (E = l), (A = l * 2), (F = l * 3))
-                : d === 'RGB'
-                ? ((S = 0), (E = l), (A = l * 2))
-                : d === 'RBG' && ((S = 0), (A = l), (E = l * 2)),
-                (i = o.createImageData(u, n));
-            for (let B = 0; B < n * u; m += p, y += p, T += p, v += p, B++)
-                (i.data[m] = (t.data[S++] - a[0]) * r[0]),
-                    (i.data[y] = (t.data[E++] - a[1]) * r[1]),
-                    (i.data[T] = (t.data[A++] - a[2]) * r[2]),
-                    (i.data[v] = F === -1 ? 255 : (t.data[F++] - a[3]) * r[3]);
-        } else throw new Error('Can not access image data');
-        return i;
-    },
-    bufferToTensor = (t, e) => {
-        if (t === void 0) throw new Error('Image buffer must be defined');
-        if (e.height === void 0 || e.width === void 0) throw new Error('Image height and width must be defined');
-        if (e.tensorLayout === 'NHWC') throw new Error('NHWC Tensor layout is not supported yet');
-        const { height: o, width: i } = e,
-            u = e.norm ?? { mean: 255, bias: 0 };
-        let n, s;
-        typeof u.mean == 'number'
-            ? (n = [u.mean, u.mean, u.mean, u.mean])
-            : (n = [u.mean[0], u.mean[1], u.mean[2], u.mean[3] ?? 255]),
-            typeof u.bias == 'number'
-                ? (s = [u.bias, u.bias, u.bias, u.bias])
-                : (s = [u.bias[0], u.bias[1], u.bias[2], u.bias[3] ?? 0]);
-        const d = e.format !== void 0 ? e.format : 'RGBA',
-            f = e.tensorFormat !== void 0 && e.tensorFormat !== void 0 ? e.tensorFormat : 'RGB',
-            r = o * i,
-            a = f === 'RGBA' ? new Float32Array(r * 4) : new Float32Array(r * 3);
-        let l = 4,
-            p = 0,
-            m = 1,
-            y = 2,
-            T = 3,
-            v = 0,
-            S = r,
-            E = r * 2,
-            A = -1;
-        d === 'RGB' && ((l = 3), (p = 0), (m = 1), (y = 2), (T = -1)),
-            f === 'RGBA'
-                ? (A = r * 3)
-                : f === 'RBG'
-                ? ((v = 0), (E = r), (S = r * 2))
-                : f === 'BGR' && ((E = 0), (S = r), (v = r * 2));
-        for (let B = 0; B < r; B++, p += l, y += l, m += l, T += l)
-            (a[v++] = (t[p] + s[0]) / n[0]),
-                (a[S++] = (t[m] + s[1]) / n[1]),
-                (a[E++] = (t[y] + s[2]) / n[2]),
-                A !== -1 && T !== -1 && (a[A++] = (t[T] + s[3]) / n[3]);
-        return f === 'RGBA' ? new Tensor$2('float32', a, [1, 4, o, i]) : new Tensor$2('float32', a, [1, 3, o, i]);
-    },
-    tensorFromImage = async (t, e) => {
-        const o = typeof HTMLImageElement < 'u' && t instanceof HTMLImageElement,
-            i = typeof ImageData < 'u' && t instanceof ImageData,
-            u = typeof ImageBitmap < 'u' && t instanceof ImageBitmap,
-            n = typeof t == 'string';
-        let s,
-            d = e ?? {};
-        const f = () => {
-                if (typeof document < 'u') return document.createElement('canvas');
-                if (typeof OffscreenCanvas < 'u') return new OffscreenCanvas(1, 1);
-                throw new Error('Canvas is not supported');
-            },
-            r = (a) => (a instanceof HTMLCanvasElement || a instanceof OffscreenCanvas ? a.getContext('2d') : null);
-        if (o) {
-            const a = f();
-            (a.width = t.width), (a.height = t.height);
-            const l = r(a);
-            if (l != null) {
-                let p = t.height,
-                    m = t.width;
-                if (
-                    (e !== void 0 &&
-                        e.resizedHeight !== void 0 &&
-                        e.resizedWidth !== void 0 &&
-                        ((p = e.resizedHeight), (m = e.resizedWidth)),
-                    e !== void 0)
-                ) {
-                    if (((d = e), e.tensorFormat !== void 0))
-                        throw new Error('Image input config format must be RGBA for HTMLImageElement');
-                    (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
-                } else (d.tensorFormat = 'RGBA'), (d.height = p), (d.width = m);
-                l.drawImage(t, 0, 0), (s = l.getImageData(0, 0, m, p).data);
-            } else throw new Error('Can not access image data');
-        } else if (i) {
-            let a, l;
-            if (
-                (e !== void 0 && e.resizedWidth !== void 0 && e.resizedHeight !== void 0
-                    ? ((a = e.resizedHeight), (l = e.resizedWidth))
-                    : ((a = t.height), (l = t.width)),
-                e !== void 0 && (d = e),
-                (d.format = 'RGBA'),
-                (d.height = a),
-                (d.width = l),
-                e !== void 0)
-            ) {
-                const p = f();
-                (p.width = l), (p.height = a);
-                const m = r(p);
-                if (m != null) m.putImageData(t, 0, 0), (s = m.getImageData(0, 0, l, a).data);
-                else throw new Error('Can not access image data');
-            } else s = t.data;
-        } else if (u) {
-            if (e === void 0) throw new Error('Please provide image config with format for Imagebitmap');
-            const a = f();
-            (a.width = t.width), (a.height = t.height);
-            const l = r(a);
-            if (l != null) {
-                const p = t.height,
-                    m = t.width;
-                return (
-                    l.drawImage(t, 0, 0, m, p),
-                    (s = l.getImageData(0, 0, m, p).data),
-                    (d.height = p),
-                    (d.width = m),
-                    bufferToTensor(s, d)
-                );
-            } else throw new Error('Can not access image data');
-        } else {
-            if (n)
-                return new Promise((a, l) => {
-                    const p = f(),
-                        m = r(p);
-                    if (!t || !m) return l();
-                    const y = new Image();
-                    (y.crossOrigin = 'Anonymous'),
-                        (y.src = t),
-                        (y.onload = () => {
-                            (p.width = y.width), (p.height = y.height), m.drawImage(y, 0, 0, p.width, p.height);
-                            const T = m.getImageData(0, 0, p.width, p.height);
-                            (d.height = p.height), (d.width = p.width), a(bufferToTensor(T.data, d));
-                        });
-                });
-            throw new Error('Input data provided is not supported - aborted tensor creation');
-        }
-        if (s !== void 0) return bufferToTensor(s, d);
-        throw new Error('Input data provided is not supported - aborted tensor creation');
-    },
-    tensorFromTexture = (t, e) => {
-        const { width: o, height: i, download: u, dispose: n } = e,
-            s = [1, i, o, 4];
-        return new Tensor$2({ location: 'texture', type: 'float32', texture: t, dims: s, download: u, dispose: n });
-    },
-    tensorFromGpuBuffer = (t, e) => {
-        const { dataType: o, dims: i, download: u, dispose: n } = e;
-        return new Tensor$2({
-            location: 'gpu-buffer',
-            type: o ?? 'float32',
-            gpuBuffer: t,
-            dims: i,
-            download: u,
-            dispose: n,
-        });
-    },
-    tensorFromPinnedBuffer = (t, e, o) =>
-        new Tensor$2({ location: 'cpu-pinned', type: t, data: e, dims: o ?? [e.length] }),
-    NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP = new Map([
-        ['float32', Float32Array],
-        ['uint8', Uint8Array],
-        ['int8', Int8Array],
-        ['uint16', Uint16Array],
-        ['float16', Uint16Array],
-        ['int16', Int16Array],
-        ['int32', Int32Array],
-        ['bool', Uint8Array],
-        ['float64', Float64Array],
-        ['uint32', Uint32Array],
-    ]),
-    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP = new Map([
-        [Float32Array, 'float32'],
-        [Uint8Array, 'uint8'],
-        [Int8Array, 'int8'],
-        [Uint16Array, 'uint16'],
-        [Int16Array, 'int16'],
-        [Int32Array, 'int32'],
-        [Float64Array, 'float64'],
-        [Uint32Array, 'uint32'],
-    ]);
-let isBigIntChecked = !1;
-const checkBigInt = () => {
-        if (!isBigIntChecked) {
-            isBigIntChecked = !0;
-            const t = typeof BigInt64Array < 'u' && typeof BigInt64Array.from == 'function',
-                e = typeof BigUint64Array < 'u' && typeof BigUint64Array.from == 'function';
-            t &&
-                (NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('int64', BigInt64Array),
-                NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigInt64Array, 'int64')),
-                e &&
-                    (NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.set('uint64', BigUint64Array),
-                    NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.set(BigUint64Array, 'uint64'));
-        }
-    },
-    calculateSize = (t) => {
-        let e = 1;
-        for (let o = 0; o < t.length; o++) {
-            const i = t[o];
-            if (typeof i != 'number' || !Number.isSafeInteger(i))
-                throw new TypeError(`dims[${o}] must be an integer, got: ${i}`);
-            if (i < 0) throw new RangeError(`dims[${o}] must be a non-negative integer, got: ${i}`);
-            e *= i;
-        }
-        return e;
-    },
-    tensorReshape = (t, e) => {
-        switch (t.location) {
-            case 'cpu':
-                return new Tensor$2(t.type, t.data, e);
-            case 'cpu-pinned':
-                return new Tensor$2({ location: 'cpu-pinned', data: t.data, type: t.type, dims: e });
-            case 'texture':
-                return new Tensor$2({ location: 'texture', texture: t.texture, type: t.type, dims: e });
-            case 'gpu-buffer':
-                return new Tensor$2({ location: 'gpu-buffer', gpuBuffer: t.gpuBuffer, type: t.type, dims: e });
-            default:
-                throw new Error(`tensorReshape: tensor location ${t.location} is not supported`);
-        }
-    };
-let Tensor$2 = class {
-    constructor(e, o, i) {
-        checkBigInt();
-        let u, n;
-        if (typeof e == 'object' && 'location' in e)
-            switch (((this.dataLocation = e.location), (u = e.type), (n = e.dims), e.location)) {
-                case 'cpu-pinned': {
-                    const d = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(u);
-                    if (!d) throw new TypeError(`unsupported type "${u}" to create tensor from pinned buffer`);
-                    if (!(e.data instanceof d)) throw new TypeError(`buffer should be of type ${d.name}`);
-                    this.cpuData = e.data;
-                    break;
-                }
-                case 'texture': {
-                    if (u !== 'float32') throw new TypeError(`unsupported type "${u}" to create tensor from texture`);
-                    (this.gpuTextureData = e.texture), (this.downloader = e.download), (this.disposer = e.dispose);
-                    break;
-                }
-                case 'gpu-buffer': {
-                    if (
-                        u !== 'float32' &&
-                        u !== 'float16' &&
-                        u !== 'int32' &&
-                        u !== 'int64' &&
-                        u !== 'uint32' &&
-                        u !== 'bool'
-                    )
-                        throw new TypeError(`unsupported type "${u}" to create tensor from gpu buffer`);
-                    (this.gpuBufferData = e.gpuBuffer), (this.downloader = e.download), (this.disposer = e.dispose);
-                    break;
-                }
-                default:
-                    throw new Error(`Tensor constructor: unsupported location '${this.dataLocation}'`);
-            }
-        else {
-            let d, f;
-            if (typeof e == 'string')
-                if (((u = e), (f = i), e === 'string')) {
-                    if (!Array.isArray(o)) throw new TypeError("A string tensor's data must be a string array.");
-                    d = o;
-                } else {
-                    const r = NUMERIC_TENSOR_TYPE_TO_TYPEDARRAY_MAP.get(e);
-                    if (r === void 0) throw new TypeError(`Unsupported tensor type: ${e}.`);
-                    if (Array.isArray(o)) {
-                        if (e === 'float16')
-                            throw new TypeError(
-                                'Creating a float16 tensor from number array is not supported. Please use Uint16Array as data.'
-                            );
-                        e === 'uint64' || e === 'int64' ? (d = r.from(o, BigInt)) : (d = r.from(o));
-                    } else if (o instanceof r) d = o;
-                    else throw new TypeError(`A ${u} tensor's data must be type of ${r}`);
-                }
-            else if (((f = o), Array.isArray(e))) {
-                if (e.length === 0) throw new TypeError('Tensor type cannot be inferred from an empty array.');
-                const r = typeof e[0];
-                if (r === 'string') (u = 'string'), (d = e);
-                else if (r === 'boolean') (u = 'bool'), (d = Uint8Array.from(e));
-                else throw new TypeError(`Invalid element type of data array: ${r}.`);
-            } else {
-                const r = NUMERIC_TENSOR_TYPEDARRAY_TO_TYPE_MAP.get(e.constructor);
-                if (r === void 0) throw new TypeError(`Unsupported type for tensor data: ${e.constructor}.`);
-                (u = r), (d = e);
-            }
-            if (f === void 0) f = [d.length];
-            else if (!Array.isArray(f)) throw new TypeError("A tensor's dims must be a number array");
-            (n = f), (this.cpuData = d), (this.dataLocation = 'cpu');
-        }
-        const s = calculateSize(n);
-        if (this.cpuData && s !== this.cpuData.length)
-            throw new Error(`Tensor's size(${s}) does not match data length(${this.cpuData.length}).`);
-        (this.type = u), (this.dims = n), (this.size = s);
-    }
-    static async fromImage(e, o) {
-        return tensorFromImage(e, o);
-    }
-    static fromTexture(e, o) {
-        return tensorFromTexture(e, o);
-    }
-    static fromGpuBuffer(e, o) {
-        return tensorFromGpuBuffer(e, o);
-    }
-    static fromPinnedBuffer(e, o, i) {
-        return tensorFromPinnedBuffer(e, o, i);
-    }
-    toDataURL(e) {
-        return tensorToDataURL(this, e);
-    }
-    toImageData(e) {
-        return tensorToImageData(this, e);
-    }
-    get data() {
-        if ((this.ensureValid(), !this.cpuData))
-            throw new Error(
-                'The data is not on CPU. Use `getData()` to download GPU data to CPU, or use `texture` or `gpuBuffer` property to access the GPU data directly.'
-            );
-        return this.cpuData;
-    }
-    get location() {
-        return this.dataLocation;
-    }
-    get texture() {
-        if ((this.ensureValid(), !this.gpuTextureData)) throw new Error('The data is not stored as a WebGL texture.');
-        return this.gpuTextureData;
-    }
-    get gpuBuffer() {
-        if ((this.ensureValid(), !this.gpuBufferData)) throw new Error('The data is not stored as a WebGPU buffer.');
-        return this.gpuBufferData;
-    }
-    async getData(e) {
-        switch ((this.ensureValid(), this.dataLocation)) {
-            case 'cpu':
-            case 'cpu-pinned':
-                return this.data;
-            case 'texture':
-            case 'gpu-buffer': {
-                if (!this.downloader)
-                    throw new Error('The current tensor is not created with a specified data downloader.');
-                if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
-                try {
-                    this.isDownloading = !0;
-                    const o = await this.downloader();
-                    return (
-                        (this.downloader = void 0),
-                        (this.dataLocation = 'cpu'),
-                        (this.cpuData = o),
-                        e && this.disposer && (this.disposer(), (this.disposer = void 0)),
-                        o
-                    );
-                } finally {
-                    this.isDownloading = !1;
-                }
-            }
-            default:
-                throw new Error(`cannot get data from location: ${this.dataLocation}`);
-        }
-    }
-    dispose() {
-        if (this.isDownloading) throw new Error('The current tensor is being downloaded.');
-        this.disposer && (this.disposer(), (this.disposer = void 0)),
-            (this.cpuData = void 0),
-            (this.gpuTextureData = void 0),
-            (this.gpuBufferData = void 0),
-            (this.downloader = void 0),
-            (this.isDownloading = void 0),
-            (this.dataLocation = 'none');
-    }
-    ensureValid() {
-        if (this.dataLocation === 'none') throw new Error('The tensor is disposed.');
-    }
-    reshape(e) {
-        if ((this.ensureValid(), this.downloader || this.disposer))
-            throw new Error('Cannot reshape a tensor that owns GPU resource.');
-        return tensorReshape(this, e);
-    }
-};
-const Tensor$1 = Tensor$2;
-let ONNX;
-const WEBGPU_AVAILABLE = typeof navigator < 'u' && 'gpu' in navigator,
-    USE_ONNXRUNTIME_NODE = typeof process < 'u' && process?.release?.name === 'node',
-    ONNX_MODULES = new Map();
-USE_ONNXRUNTIME_NODE
-    ? ((ONNX = sharp ?? ONNX_NODE), ONNX_MODULES.set('node', ONNX))
-    : ((ONNX = zO ?? ONNX_WEB), ONNX_MODULES.set('web', ONNX));
-async function createInferenceSession(t, e) {
-    let o, i;
-    if (USE_ONNXRUNTIME_NODE) {
-        const s = ONNX_MODULES.get('node');
-        (i = s.InferenceSession), (o = ['cpu']), Object.assign(s.env, env.backends.onnx);
-    } else if (WEBGPU_AVAILABLE && env.experimental.useWebGPU) {
-        let s = ONNX_MODULES.get('webgpu');
-        s === void 0 &&
-            ((s = await __vitePreload(() => import('./ort.webgpu.min-7V0I_OOb.js'), __vite__mapDeps([]))),
-            ONNX_MODULES.set('webgpu', s)),
-            (i = s.InferenceSession),
-            (o = ['webgpu', 'wasm']),
-            Object.assign(s.env, env.backends.onnx);
-    } else {
-        const s = ONNX_MODULES.get('web');
-        (i = s.InferenceSession), (o = ['wasm']), Object.assign(s.env, env.backends.onnx);
-    }
-    const u = { executionProviders: o, ...e };
-    return await i.create(t, u);
-}
-function isONNXTensor(t) {
-    for (const e of ONNX_MODULES.values()) if (t instanceof e.Tensor) return !0;
-    return !1;
-}
-const ONNX_ENV = ONNX?.env;
-ONNX_ENV &&
-    ONNX_ENV.wasm &&
-    ((ONNX_ENV.wasm.wasmPaths = RUNNING_LOCALLY
-        ? sharp.join(env.__dirname, '/dist/')
-        : `https://cdn.jsdelivr.net/npm/@xenova/transformers@${env.version}/dist/`),
-    typeof navigator < 'u' &&
-        /iP(hone|od|ad).+16_4.+AppleWebKit/.test(navigator.userAgent) &&
-        (ONNX_ENV.wasm.simd = !1),
-    (ONNX_ENV.wasm.proxy = !0));
-function isONNXProxy() {
-    return ONNX_ENV.wasm.proxy;
-}
-env.backends.onnx = ONNX_ENV;
-const DataTypeMap = Object.freeze({
-    float32: Float32Array,
-    float16: Uint16Array,
-    float64: Float64Array,
-    string: Array,
-    int8: Int8Array,
-    uint8: Uint8Array,
-    int16: Int16Array,
-    uint16: Uint16Array,
-    int32: Int32Array,
-    uint32: Uint32Array,
-    int64: BigInt64Array,
-    uint64: BigUint64Array,
-    bool: Uint8Array,
-});
-class Tensor {
-    get dims() {
-        return this.ort_tensor.dims;
-    }
-    set dims(e) {
-        this.ort_tensor.dims = e;
-    }
-    get type() {
-        return this.ort_tensor.type;
-    }
-    get data() {
-        return this.ort_tensor.data;
-    }
-    get size() {
-        return this.ort_tensor.size;
-    }
-    ort_tensor;
-    constructor(...e) {
-        return (
-            isONNXTensor(e[0]) ? (this.ort_tensor = e[0]) : (this.ort_tensor = new Tensor$1(e[0], e[1], e[2])),
-            new Proxy(this, {
-                get: (o, i) => {
-                    if (typeof i == 'string') {
-                        let u = Number(i);
-                        if (Number.isInteger(u)) return o._getitem(u);
-                    }
-                    return o[i];
-                },
-                set: (o, i, u) => (o[i] = u),
-            })
-        );
-    }
-    dispose() {
-        this.ort_tensor.dispose();
-    }
-    *[Symbol.iterator]() {
-        const [e, ...o] = this.dims;
-        if (o.length > 0) {
-            const i = o.reduce((u, n) => u * n);
-            for (let u = 0; u < e; ++u) yield this._subarray(u, i, o);
-        } else yield* this.data;
-    }
-    _getitem(e) {
-        const [o, ...i] = this.dims;
-        if (((e = safeIndex(e, o)), i.length > 0)) {
-            const u = i.reduce((n, s) => n * s);
-            return this._subarray(e, u, i);
-        } else return new Tensor(this.type, [this.data[e]], i);
-    }
-    indexOf(e) {
-        for (let o = 0; o < this.data.length; ++o) if (this.data[o] == e) return o;
-        return -1;
-    }
-    _subarray(e, o, i) {
-        const u = e * o,
-            n = (e + 1) * o,
-            s = 'subarray' in this.data ? this.data.subarray(u, n) : this.data.slice(u, n);
-        return new Tensor(this.type, s, i);
-    }
-    item() {
-        if (this.data.length !== 1)
-            throw new Error(`a Tensor with ${this.data.length} elements cannot be converted to Scalar`);
-        return this.data[0];
-    }
-    tolist() {
-        return reshape(this.data, this.dims);
-    }
-    sigmoid() {
-        return this.clone().sigmoid_();
-    }
-    sigmoid_() {
-        for (let e = 0; e < this.data.length; ++e) this.data[e] = 1 / (1 + Math.exp(-this.data[e]));
-        return this;
-    }
-    mul(e) {
-        return this.clone().mul_(e);
-    }
-    mul_(e) {
-        for (let o = 0; o < this.data.length; ++o) this.data[o] *= e;
-        return this;
-    }
-    add(e) {
-        return this.clone().add_(e);
-    }
-    add_(e) {
-        for (let o = 0; o < this.data.length; ++o) this.data[o] += e;
-        return this;
-    }
-    clone() {
-        return new Tensor(this.type, this.data.slice(), this.dims.slice());
-    }
-    slice(...e) {
-        let o = [],
-            i = [];
-        for (let f = 0; f < this.dims.length; ++f) {
-            let r = e[f];
-            if (r == null) i.push([0, this.dims[f]]), o.push(this.dims[f]);
-            else if (typeof r == 'number') (r = safeIndex(r, this.dims[f], f)), i.push([r, r + 1]);
-            else if (Array.isArray(r) && r.length === 2) {
-                if (r[0] > r[1]) throw new Error(`Invalid slice: ${r}`);
-                let a = [Math.max(r[0], 0), Math.min(r[1], this.dims[f])];
-                i.push(a), o.push(a[1] - a[0]);
-            } else throw new Error(`Invalid slice: ${r}`);
-        }
-        let u = i.map(([f, r]) => r - f),
-            n = u.reduce((f, r) => f * r),
-            s = new this.data.constructor(n);
-        const d = this.stride();
-        for (let f = 0; f < n; ++f) {
-            let r = 0;
-            for (let a = u.length - 1, l = f; a >= 0; --a) {
-                const p = u[a];
-                (r += ((l % p) + i[a][0]) * d[a]), (l = Math.floor(l / p));
-            }
-            s[f] = this.data[r];
-        }
-        return new Tensor(this.type, s, o);
-    }
-    transpose(...e) {
-        return transpose(this, e);
-    }
-    sum(e = null, o = !1) {
-        return this.norm(1, e, o);
-    }
-    norm(e = 'fro', o = null, i = !1) {
-        if (e === 'fro') e = 2;
-        else if (typeof e == 'string') throw Error(`Unsupported norm: ${e}`);
-        if (o === null) {
-            let s = this.data.reduce((d, f) => d + f ** e, 0) ** (1 / e);
-            return new Tensor(this.type, [s], []);
-        }
-        o = safeIndex(o, this.dims.length);
-        const u = this.dims.slice();
-        u[o] = 1;
-        const n = new this.data.constructor(this.data.length / this.dims[o]);
-        for (let s = 0; s < this.data.length; ++s) {
-            let d = 0;
-            for (let f = this.dims.length - 1, r = s, a = 1; f >= 0; --f) {
-                const l = this.dims[f];
-                if (f !== o) {
-                    const p = r % l;
-                    (d += p * a), (a *= u[f]);
-                }
-                r = Math.floor(r / l);
-            }
-            n[d] += this.data[s] ** e;
-        }
-        if (e !== 1) for (let s = 0; s < n.length; ++s) n[s] = n[s] ** (1 / e);
-        return i || u.splice(o, 1), new Tensor(this.type, n, u);
-    }
-    normalize_(e = 2, o = 1) {
-        o = safeIndex(o, this.dims.length);
-        const i = this.norm(e, o, !0);
-        for (let u = 0; u < this.data.length; ++u) {
-            let n = 0;
-            for (let s = this.dims.length - 1, d = u, f = 1; s >= 0; --s) {
-                const r = this.dims[s];
-                if (s !== o) {
-                    const a = d % r;
-                    (n += a * f), (f *= this.dims[s]);
-                }
-                d = Math.floor(d / r);
-            }
-            this.data[u] /= i.data[n];
-        }
-        return this;
-    }
-    normalize(e = 2, o = 1) {
-        return this.clone().normalize_(e, o);
-    }
-    stride() {
-        return dimsToStride(this.dims);
-    }
-    squeeze(e = null) {
-        return new Tensor(this.type, this.data, calc_squeeze_dims(this.dims, e));
-    }
-    squeeze_(e = null) {
-        return (this.dims = calc_squeeze_dims(this.dims, e)), this;
-    }
-    unsqueeze(e = null) {
-        return new Tensor(this.type, this.data, calc_unsqueeze_dims(this.dims, e));
-    }
-    unsqueeze_(e = null) {
-        return (this.dims = calc_unsqueeze_dims(this.dims, e)), this;
-    }
-    flatten_(e = 0, o = -1) {
-        o = (o + this.dims.length) % this.dims.length;
-        let i = this.dims.slice(0, e),
-            u = this.dims.slice(e, o + 1),
-            n = this.dims.slice(o + 1);
-        return (this.dims = [...i, u.reduce((s, d) => s * d, 1), ...n]), this;
-    }
-    flatten(e = 0, o = -1) {
-        return this.clone().flatten_(e, o);
-    }
-    view(...e) {
-        let o = -1;
-        for (let i = 0; i < e.length; ++i)
-            if (e[i] === -1) {
-                if (o !== -1) throw new Error('Only one dimension can be inferred');
-                o = i;
-            }
-        if (o !== -1) {
-            const i = e.reduce((u, n, s) => (s !== o ? u * n : u), 1);
-            e[o] = this.data.length / i;
-        }
-        return new Tensor(this.type, this.data, e);
-    }
-    neg_() {
-        for (let e = 0; e < this.data.length; ++e) this.data[e] = -this.data[e];
-        return this;
-    }
-    neg() {
-        return this.clone().neg_();
-    }
-    clamp_(e, o) {
-        for (let i = 0; i < this.data.length; ++i) this.data[i] = Math.min(Math.max(this.data[i], e), o);
-        return this;
-    }
-    clamp(e, o) {
-        return this.clone().clamp_(e, o);
-    }
-    round_() {
-        for (let e = 0; e < this.data.length; ++e) this.data[e] = Math.round(this.data[e]);
-        return this;
-    }
-    round() {
-        return this.clone().round_();
-    }
-    to(e) {
-        if (this.type === e) return this;
-        if (!DataTypeMap.hasOwnProperty(e)) throw new Error(`Unsupported type: ${e}`);
-        return new Tensor(e, DataTypeMap[e].from(this.data), this.dims);
-    }
-}
-function reshape(t, e) {
-    const o = t.length,
-        i = e.reduce((n, s) => n * s);
-    if (o !== i) throw Error(`cannot reshape array of size ${o} into shape (${e})`);
-    let u = t;
-    for (let n = e.length - 1; n >= 0; n--)
-        u = u.reduce(
-            (s, d) => {
-                let f = s[s.length - 1];
-                return f.length < e[n] ? f.push(d) : s.push([d]), s;
-            },
-            [[]]
-        );
-    return u[0];
-}
-function transpose(t, e) {
-    const [o, i] = transpose_data(t.data, t.dims, e);
-    return new Tensor(t.type, o, i);
-}
-function interpolate(t, [e, o], i = 'bilinear', u = !1) {
-    const n = t.dims.at(-3) ?? 1,
-        s = t.dims.at(-2),
-        d = t.dims.at(-1);
-    let f = interpolate_data(t.data, [n, s, d], [e, o], i, u);
-    return new Tensor(t.type, f, [n, e, o]);
-}
-function calc_squeeze_dims(t, e) {
-    return (
-        (t = t.slice()),
-        e === null
-            ? (t = t.filter((o) => o !== 1))
-            : typeof e == 'number'
-            ? t[e] === 1 && t.splice(e, 1)
-            : Array.isArray(e) && (t = t.filter((o, i) => o !== 1 || !e.includes(i))),
-        t
-    );
-}
-function calc_unsqueeze_dims(t, e) {
-    return (e = safeIndex(e, t.length + 1)), (t = t.slice()), t.splice(e, 0, 1), t;
-}
-function safeIndex(t, e, o = null) {
-    if (t < -e || t >= e)
-        throw new Error(
-            `IndexError: index ${t} is out of bounds for dimension${o === null ? '' : ' ' + o} with size ${e}`
-        );
-    return t < 0 && (t = ((t % e) + e) % e), t;
-}
-function cat(t, e = 0) {
-    e = safeIndex(e, t[0].dims.length);
-    const o = t[0].dims.slice();
-    o[e] = t.reduce((s, d) => s + d.dims[e], 0);
-    const i = o.reduce((s, d) => s * d, 1),
-        u = new t[0].data.constructor(i),
-        n = t[0].type;
-    if (e === 0) {
-        let s = 0;
-        for (let d of t) u.set(d.data, s), (s += d.data.length);
-    } else {
-        let s = 0;
-        for (let d = 0; d < t.length; ++d) {
-            let f = t[d];
-            for (let r = 0; r < f.data.length; ++r) {
-                let a = 0;
-                for (let l = f.dims.length - 1, p = r, m = 1; l >= 0; --l) {
-                    const y = f.dims[l];
-                    let T = p % y;
-                    l === e && (T += s), (a += T * m), (m *= o[l]), (p = Math.floor(p / y));
-                }
-                u[a] = f.data[r];
-            }
-            s += f.dims[e];
-        }
-    }
-    return new Tensor(n, u, o);
-}
-function stack(t, e = 0) {
-    return cat(
-        t.map((o) => o.unsqueeze(e)),
-        e
-    );
-}
-function std_mean(t, e = null, o = 1, i = !1) {
-    if (e === null) {
-        const r = t.data.reduce((m, y) => m + y, 0) / t.data.length,
-            a = Math.sqrt(t.data.reduce((m, y) => m + (y - r) ** 2, 0) / (t.data.length - o)),
-            l = new Tensor(t.type, [r], []);
-        return [new Tensor(t.type, [a], []), l];
-    }
-    e = safeIndex(e, t.dims.length);
-    const u = mean(t, e, i),
-        n = t.dims.slice();
-    n[e] = 1;
-    const s = new t.data.constructor(t.data.length / t.dims[e]);
-    for (let f = 0; f < t.data.length; ++f) {
-        let r = 0;
-        for (let a = t.dims.length - 1, l = f, p = 1; a >= 0; --a) {
-            const m = t.dims[a];
-            if (a !== e) {
-                const y = l % m;
-                (r += y * p), (p *= n[a]);
-            }
-            l = Math.floor(l / m);
-        }
-        s[r] += (t.data[f] - u.data[r]) ** 2;
-    }
-    for (let f = 0; f < s.length; ++f) s[f] = Math.sqrt(s[f] / (t.dims[e] - o));
-    return i || n.splice(e, 1), [new Tensor(t.type, s, n), u];
-}
-function mean(t, e = null, o = !1) {
-    if (e === null) {
-        let n = t.data.reduce((s, d) => s + d, 0);
-        return new Tensor(t.type, [n / t.data.length], []);
-    }
-    e = safeIndex(e, t.dims.length);
-    const i = t.dims.slice();
-    i[e] = 1;
-    const u = new t.data.constructor(t.data.length / t.dims[e]);
-    for (let n = 0; n < t.data.length; ++n) {
-        let s = 0;
-        for (let d = t.dims.length - 1, f = n, r = 1; d >= 0; --d) {
-            const a = t.dims[d];
-            if (d !== e) {
-                const l = f % a;
-                (s += l * r), (r *= i[d]);
-            }
-            f = Math.floor(f / a);
-        }
-        u[s] += t.data[n];
-    }
-    if (t.dims[e] !== 1) for (let n = 0; n < u.length; ++n) u[n] = u[n] / t.dims[e];
-    return o || i.splice(e, 1), new Tensor(t.type, u, i);
-}
-function dynamicTimeWarping(t) {
-    const [e, o] = t.dims,
-        i = [e + 1, o + 1],
-        u = new Tensor('float32', new Float32Array(i[0] * i[1]).fill(1 / 0), i),
-        n = new Tensor('float32', new Float32Array(i[0] * i[1]).fill(-1), i);
-    u[0].data[0] = 0;
-    for (let a = 1; a < o + 1; ++a)
-        for (let l = 1; l < e + 1; ++l) {
-            const p = u[l - 1][a - 1].item(),
-                m = u[l - 1][a].item(),
-                y = u[l][a - 1].item();
-            let T, v;
-            p < m && p < y ? ((T = p), (v = 0)) : m < p && m < y ? ((T = m), (v = 1)) : ((T = y), (v = 2)),
-                (u[l].data[a] = t[l - 1][a - 1].item() + T),
-                (n[l].data[a] = v);
-        }
-    let s = e,
-        d = o;
-    n.data.fill(2, 0, i[1]);
-    for (let a = 0; a < i[0]; ++a) n[a].data[0] = 1;
-    let f = [],
-        r = [];
-    for (; s > 0 || d > 0; )
-        switch ((f.push(s - 1), r.push(d - 1), n[s][d].item())) {
-            case 0:
-                --s, --d;
-                break;
-            case 1:
-                --s;
-                break;
-            case 2:
-                --d;
-                break;
-            default:
-                throw new Error(
-                    `Internal error in dynamic time warping. Unexpected trace[${s}, ${d}]. Please file a bug report.`
-                );
-        }
-    return f.reverse(), r.reverse(), [f, r];
-}
-function dimsToStride(t) {
-    const e = new Array(t.length);
-    for (let o = t.length - 1, i = 1; o >= 0; --o) (e[o] = i), (i *= t[o]);
-    return e;
-}
-function ones(t) {
-    const e = t.reduce((o, i) => o * i, 1);
-    return new Tensor('int64', new BigInt64Array(e).fill(1n), t);
-}
-function ones_like(t) {
-    return ones(t.dims);
-}
-var TOKEN_TYPES = Object.freeze({
-    Text: 'Text',
-    NumericLiteral: 'NumericLiteral',
-    BooleanLiteral: 'BooleanLiteral',
-    StringLiteral: 'StringLiteral',
-    Identifier: 'Identifier',
-    Equals: 'Equals',
-    OpenParen: 'OpenParen',
-    CloseParen: 'CloseParen',
-    OpenStatement: 'OpenStatement',
-    CloseStatement: 'CloseStatement',
-    OpenExpression: 'OpenExpression',
-    CloseExpression: 'CloseExpression',
-    OpenSquareBracket: 'OpenSquareBracket',
-    CloseSquareBracket: 'CloseSquareBracket',
-    OpenCurlyBracket: 'OpenCurlyBracket',
-    CloseCurlyBracket: 'CloseCurlyBracket',
-    Comma: 'Comma',
-    Dot: 'Dot',
-    Colon: 'Colon',
-    Pipe: 'Pipe',
-    CallOperator: 'CallOperator',
-    AdditiveBinaryOperator: 'AdditiveBinaryOperator',
-    MultiplicativeBinaryOperator: 'MultiplicativeBinaryOperator',
-    ComparisonBinaryOperator: 'ComparisonBinaryOperator',
-    UnaryOperator: 'UnaryOperator',
-    Set: 'Set',
-    If: 'If',
-    For: 'For',
-    In: 'In',
-    Is: 'Is',
-    NotIn: 'NotIn',
-    Else: 'Else',
-    EndIf: 'EndIf',
-    ElseIf: 'ElseIf',
-    EndFor: 'EndFor',
-    And: 'And',
-    Or: 'Or',
-    Not: 'UnaryOperator',
-});
-Object.freeze({
-    set: TOKEN_TYPES.Set,
-    for: TOKEN_TYPES.For,
-    in: TOKEN_TYPES.In,
-    is: TOKEN_TYPES.Is,
-    if: TOKEN_TYPES.If,
-    else: TOKEN_TYPES.Else,
-    endif: TOKEN_TYPES.EndIf,
-    elif: TOKEN_TYPES.ElseIf,
-    endfor: TOKEN_TYPES.EndFor,
-    and: TOKEN_TYPES.And,
-    or: TOKEN_TYPES.Or,
-    not: TOKEN_TYPES.Not,
-    'not in': TOKEN_TYPES.NotIn,
-    true: TOKEN_TYPES.BooleanLiteral,
-    false: TOKEN_TYPES.BooleanLiteral,
-});
-TOKEN_TYPES.OpenStatement,
-    TOKEN_TYPES.CloseStatement,
-    TOKEN_TYPES.OpenExpression,
-    TOKEN_TYPES.CloseExpression,
-    TOKEN_TYPES.OpenParen,
-    TOKEN_TYPES.CloseParen,
-    TOKEN_TYPES.OpenCurlyBracket,
-    TOKEN_TYPES.CloseCurlyBracket,
-    TOKEN_TYPES.OpenSquareBracket,
-    TOKEN_TYPES.CloseSquareBracket,
-    TOKEN_TYPES.Comma,
-    TOKEN_TYPES.Dot,
-    TOKEN_TYPES.Colon,
-    TOKEN_TYPES.Pipe,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.ComparisonBinaryOperator,
-    TOKEN_TYPES.AdditiveBinaryOperator,
-    TOKEN_TYPES.AdditiveBinaryOperator,
-    TOKEN_TYPES.MultiplicativeBinaryOperator,
-    TOKEN_TYPES.MultiplicativeBinaryOperator,
-    TOKEN_TYPES.MultiplicativeBinaryOperator,
-    TOKEN_TYPES.Equals;
-const BYTES_TO_UNICODE = (() => {
-    const t = [
-            ...Array.from({ length: 94 }, (u, n) => n + 33),
-            ...Array.from({ length: 12 }, (u, n) => n + 161),
-            ...Array.from({ length: 82 }, (u, n) => n + 174),
-        ],
-        e = t.slice();
-    let o = 0;
-    for (let u = 0; u < 256; ++u) t.includes(u) || (t.push(u), e.push(256 + o), (o += 1));
-    const i = e.map((u) => String.fromCharCode(u));
-    return Object.fromEntries(t.map((u, n) => [u, i[n]]));
-})();
-reverseDictionary(BYTES_TO_UNICODE);
-const WHISPER_LANGUAGES = [
-    ['en', 'english'],
-    ['zh', 'chinese'],
-    ['de', 'german'],
-    ['es', 'spanish'],
-    ['ru', 'russian'],
-    ['ko', 'korean'],
-    ['fr', 'french'],
-    ['ja', 'japanese'],
-    ['pt', 'portuguese'],
-    ['tr', 'turkish'],
-    ['pl', 'polish'],
-    ['ca', 'catalan'],
-    ['nl', 'dutch'],
-    ['ar', 'arabic'],
-    ['sv', 'swedish'],
-    ['it', 'italian'],
-    ['id', 'indonesian'],
-    ['hi', 'hindi'],
-    ['fi', 'finnish'],
-    ['vi', 'vietnamese'],
-    ['he', 'hebrew'],
-    ['uk', 'ukrainian'],
-    ['el', 'greek'],
-    ['ms', 'malay'],
-    ['cs', 'czech'],
-    ['ro', 'romanian'],
-    ['da', 'danish'],
-    ['hu', 'hungarian'],
-    ['ta', 'tamil'],
-    ['no', 'norwegian'],
-    ['th', 'thai'],
-    ['ur', 'urdu'],
-    ['hr', 'croatian'],
-    ['bg', 'bulgarian'],
-    ['lt', 'lithuanian'],
-    ['la', 'latin'],
-    ['mi', 'maori'],
-    ['ml', 'malayalam'],
-    ['cy', 'welsh'],
-    ['sk', 'slovak'],
-    ['te', 'telugu'],
-    ['fa', 'persian'],
-    ['lv', 'latvian'],
-    ['bn', 'bengali'],
-    ['sr', 'serbian'],
-    ['az', 'azerbaijani'],
-    ['sl', 'slovenian'],
-    ['kn', 'kannada'],
-    ['et', 'estonian'],
-    ['mk', 'macedonian'],
-    ['br', 'breton'],
-    ['eu', 'basque'],
-    ['is', 'icelandic'],
-    ['hy', 'armenian'],
-    ['ne', 'nepali'],
-    ['mn', 'mongolian'],
-    ['bs', 'bosnian'],
-    ['kk', 'kazakh'],
-    ['sq', 'albanian'],
-    ['sw', 'swahili'],
-    ['gl', 'galician'],
-    ['mr', 'marathi'],
-    ['pa', 'punjabi'],
-    ['si', 'sinhala'],
-    ['km', 'khmer'],
-    ['sn', 'shona'],
-    ['yo', 'yoruba'],
-    ['so', 'somali'],
-    ['af', 'afrikaans'],
-    ['oc', 'occitan'],
-    ['ka', 'georgian'],
-    ['be', 'belarusian'],
-    ['tg', 'tajik'],
-    ['sd', 'sindhi'],
-    ['gu', 'gujarati'],
-    ['am', 'amharic'],
-    ['yi', 'yiddish'],
-    ['lo', 'lao'],
-    ['uz', 'uzbek'],
-    ['fo', 'faroese'],
-    ['ht', 'haitian creole'],
-    ['ps', 'pashto'],
-    ['tk', 'turkmen'],
-    ['nn', 'nynorsk'],
-    ['mt', 'maltese'],
-    ['sa', 'sanskrit'],
-    ['lb', 'luxembourgish'],
-    ['my', 'myanmar'],
-    ['bo', 'tibetan'],
-    ['tl', 'tagalog'],
-    ['mg', 'malagasy'],
-    ['as', 'assamese'],
-    ['tt', 'tatar'],
-    ['haw', 'hawaiian'],
-    ['ln', 'lingala'],
-    ['ha', 'hausa'],
-    ['ba', 'bashkir'],
-    ['jw', 'javanese'],
-    ['su', 'sundanese'],
-];
-new Map(WHISPER_LANGUAGES);
-async function loadConfig(t, e) {
-    return await getModelJSON(t, 'config.json', !0, e);
-}
-class PretrainedConfig {
-    constructor(e) {
-        (this.model_type = null), (this.is_encoder_decoder = !1), Object.assign(this, e);
-    }
-    static async from_pretrained(
-        e,
-        {
-            progress_callback: o = null,
-            config: i = null,
-            cache_dir: u = null,
-            local_files_only: n = !1,
-            revision: s = 'main',
-        } = {}
-    ) {
-        let d =
-            i ??
-            (await loadConfig(e, { progress_callback: o, config: i, cache_dir: u, local_files_only: n, revision: s }));
-        return new this(d);
-    }
-}
-class AutoConfig {
-    static async from_pretrained(...e) {
-        return PretrainedConfig.from_pretrained(...e);
-    }
-}
-class LogitsProcessorList extends Callable {
-    constructor() {
-        super(), (this.processors = []);
-    }
-    push(e) {
-        this.processors.push(e);
-    }
-    extend(e) {
-        this.processors.push(...e);
-    }
-    _call(e, o) {
-        for (let i of o) this.processors.forEach((u) => u(e, i));
-    }
-    [Symbol.iterator]() {
-        return this.processors.values();
-    }
-}
-class LogitsProcessor extends Callable {
-    _call(e, o) {
-        throw Error('`_call` should be implemented in a subclass');
-    }
-}
-class ForceTokensLogitsProcessor extends LogitsProcessor {
-    constructor(e) {
-        super(), (this.force_token_map = Object.fromEntries(e ?? []));
-    }
-    _call(e, o) {
-        let i = this.force_token_map[e.length];
-        return exists(i) && (o.data.fill(-1 / 0), (o.data[i] = 0)), o;
-    }
-}
-class ForcedBOSTokenLogitsProcessor extends LogitsProcessor {
-    constructor(e) {
-        super(), (this.bos_token_id = e);
-    }
-    _call(e, o) {
-        return e.length === 1 && (o.data.fill(-1 / 0), (o.data[this.bos_token_id] = 0)), o;
-    }
-}
-class ForcedEOSTokenLogitsProcessor extends LogitsProcessor {
-    constructor(e, o) {
-        super(), (this.max_length = e), (this.forced_eos_token_id = o);
-    }
-    _call(e, o) {}
-}
-class SuppressTokensAtBeginLogitsProcessor extends LogitsProcessor {
-    constructor(e, o) {
-        super(), (this.begin_suppress_tokens = e), (this.begin_index = o);
-    }
-    _call(e, o) {
-        if (e.length === this.begin_index) for (let i of this.begin_suppress_tokens) o.data[i] = -1 / 0;
-        return o;
-    }
-}
-class WhisperTimeStampLogitsProcessor extends LogitsProcessor {
-    constructor(e) {
-        super(),
-            (this.eos_token_id = e.eos_token_id),
-            (this.no_timestamps_token_id = e.no_timestamps_token_id),
-            (this.timestamp_begin = this.no_timestamps_token_id + 1),
-            (this.begin_index = (e.forced_decoder_ids || []).length + 2),
-            e.forced_decoder_ids.slice(-1)[0][1] === this.no_timestamps_token_id && (this.begin_index -= 1),
-            (this.max_initial_timestamp_index = e.max_initial_timestamp_index);
-    }
-    _call(e, o) {
-        const i = o.data;
-        if (((i[this.no_timestamps_token_id] = -1 / 0), e.length === this.begin_index - 1))
-            return i.fill(-1 / 0), (i[this.timestamp_begin] = 0), o;
-        const u = e.slice(this.begin_index),
-            n = u.length >= 1 && u[u.length - 1] >= this.timestamp_begin,
-            s = u.length < 2 || u[u.length - 2] >= this.timestamp_begin;
-        if (
-            (n && (s ? i.subarray(this.timestamp_begin).fill(-1 / 0) : i.subarray(0, this.eos_token_id).fill(-1 / 0)),
-            e.length === this.begin_index && this.max_initial_timestamp_index !== null)
-        ) {
-            const a = this.timestamp_begin + this.max_initial_timestamp_index;
-            i.subarray(a + 1).fill(-1 / 0);
-        }
-        const d = log_softmax(i),
-            f = Math.log(
-                d
-                    .subarray(this.timestamp_begin)
-                    .map(Math.exp)
-                    .reduce((a, l) => a + l)
-            ),
-            r = max(d.subarray(0, this.timestamp_begin))[0];
-        return f > r && i.subarray(0, this.timestamp_begin).fill(-1 / 0), o;
-    }
-}
-class NoRepeatNGramLogitsProcessor extends LogitsProcessor {
-    constructor(e) {
-        super(), (this.no_repeat_ngram_size = e);
-    }
-    getNgrams(e) {
-        const o = e.length,
-            i = [];
-        for (let n = 0; n < o + 1 - this.no_repeat_ngram_size; ++n) {
-            const s = [];
-            for (let d = 0; d < this.no_repeat_ngram_size; ++d) s.push(e[n + d]);
-            i.push(s);
-        }
-        const u = new Map();
-        for (const n of i) {
-            const s = n.slice(0, n.length - 1),
-                d = JSON.stringify(s),
-                f = u.get(d) ?? [];
-            f.push(n[n.length - 1]), u.set(d, f);
-        }
-        return u;
-    }
-    getGeneratedNgrams(e, o) {
-        const i = o.slice(o.length + 1 - this.no_repeat_ngram_size, o.length);
-        return e.get(JSON.stringify(i)) ?? [];
-    }
-    calcBannedNgramTokens(e) {
-        const o = [];
-        if (e.length + 1 < this.no_repeat_ngram_size) return o;
-        {
-            const i = this.getNgrams(e);
-            return this.getGeneratedNgrams(i, e);
-        }
-    }
-    _call(e, o) {
-        const i = this.calcBannedNgramTokens(e);
-        for (const u of i) o.data[u] = -1 / 0;
-        return o;
-    }
-}
-class RepetitionPenaltyLogitsProcessor extends LogitsProcessor {
-    constructor(e) {
-        super(), (this.penalty = e);
-    }
-    _call(e, o) {
-        for (const i of e) o.data[i] < 0 ? (o.data[i] *= this.penalty) : (o.data[i] /= this.penalty);
-        return o;
-    }
-}
-class MinLengthLogitsProcessor extends LogitsProcessor {
-    constructor(e, o) {
-        super(), (this.min_length = e), (this.eos_token_id = Array.isArray(o) ? o : [o]);
-    }
-    _call(e, o) {
-        if (e.length < this.min_length) for (const i of this.eos_token_id) o.data[i] = -1 / 0;
-        return o;
-    }
-}
-class MinNewTokensLengthLogitsProcessor extends LogitsProcessor {
-    constructor(e, o, i) {
-        super(),
-            (this.prompt_length_to_skip = e),
-            (this.min_new_tokens = o),
-            (this.eos_token_id = Array.isArray(i) ? i : [i]);
-    }
-    _call(e, o) {
-        if (e.length - this.prompt_length_to_skip < this.min_new_tokens)
-            for (const u of this.eos_token_id) o.data[u] = -1 / 0;
-        return o;
-    }
-}
-class NoBadWordsLogitsProcessor extends LogitsProcessor {
-    constructor(e, o) {
-        super(), (this.bad_words_ids = e), (this.eos_token_id = Array.isArray(o) ? o : [o]);
-    }
-    _call(e, o) {
-        for (const i of this.bad_words_ids) {
-            let u = !0;
-            for (let n = 1; n <= i.length - 1 && i.length < e.length; ++n)
-                if (i.at(-n - 1) !== e.at(-n)) {
-                    u = !1;
-                    break;
-                }
-            u && (o.data[i.at(-1)] = -1 / 0);
-        }
-        return o;
-    }
-}
-const GenerationConfig = class {
-    constructor(t = {}) {
-        (this.max_length = t.max_length ?? 20),
-            (this.max_new_tokens = t.max_new_tokens ?? null),
-            (this.min_length = t.min_length ?? 0),
-            (this.min_new_tokens = t.min_new_tokens ?? null),
-            (this.early_stopping = t.early_stopping ?? !1),
-            (this.max_time = t.max_time ?? null),
-            (this.do_sample = t.do_sample ?? !1),
-            (this.num_beams = t.num_beams ?? 1),
-            (this.num_beam_groups = t.num_beam_groups ?? 1),
-            (this.penalty_alpha = t.penalty_alpha ?? null),
-            (this.use_cache = t.use_cache ?? !0),
-            (this.temperature = t.temperature ?? 1),
-            (this.top_k = t.top_k ?? 50),
-            (this.top_p = t.top_p ?? 1),
-            (this.typical_p = t.typical_p ?? 1),
-            (this.epsilon_cutoff = t.epsilon_cutoff ?? 0),
-            (this.eta_cutoff = t.eta_cutoff ?? 0),
-            (this.diversity_penalty = t.diversity_penalty ?? 0),
-            (this.repetition_penalty = t.repetition_penalty ?? 1),
-            (this.encoder_repetition_penalty = t.encoder_repetition_penalty ?? 1),
-            (this.length_penalty = t.length_penalty ?? 1),
-            (this.no_repeat_ngram_size = t.no_repeat_ngram_size ?? 0),
-            (this.bad_words_ids = t.bad_words_ids ?? null),
-            (this.force_words_ids = t.force_words_ids ?? null),
-            (this.renormalize_logits = t.renormalize_logits ?? !1),
-            (this.constraints = t.constraints ?? null),
-            (this.forced_bos_token_id = t.forced_bos_token_id ?? null),
-            (this.forced_eos_token_id = t.forced_eos_token_id ?? null),
-            (this.remove_invalid_values = t.remove_invalid_values ?? !1),
-            (this.exponential_decay_length_penalty = t.exponential_decay_length_penalty ?? null),
-            (this.suppress_tokens = t.suppress_tokens ?? null),
-            (this.begin_suppress_tokens = t.begin_suppress_tokens ?? null),
-            (this.forced_decoder_ids = t.forced_decoder_ids ?? null),
-            (this.num_return_sequences = t.num_return_sequences ?? 1),
-            (this.output_attentions = t.output_attentions ?? !1),
-            (this.output_hidden_states = t.output_hidden_states ?? !1),
-            (this.output_scores = t.output_scores ?? !1),
-            (this.return_dict_in_generate = t.return_dict_in_generate ?? !1),
-            (this.pad_token_id = t.pad_token_id ?? null),
-            (this.bos_token_id = t.bos_token_id ?? null),
-            (this.eos_token_id = t.eos_token_id ?? null),
-            (this.encoder_no_repeat_ngram_size = t.encoder_no_repeat_ngram_size ?? 0),
-            (this.decoder_start_token_id = t.decoder_start_token_id ?? null),
-            (this.generation_kwargs = t.generation_kwargs ?? {});
-    }
-};
-class Sampler extends Callable {
-    constructor(e) {
-        super(), (this.generation_config = e);
-    }
-    _call(e, o = -1) {
-        return this.sample(e, o);
-    }
-    sample(e, o) {
-        throw Error('sample should be implemented in subclasses.');
-    }
-    getLogits(e, o) {
-        let i = e.dims.at(-1),
-            u = e.data;
-        if (o === -1) u = u.slice(-i);
-        else {
-            let n = o * i;
-            u = u.slice(n, n + i);
-        }
-        return this.generation_config.temperature > 0 && (u = u.map((n) => n / this.generation_config.temperature)), u;
-    }
-    randomSelect(e) {
-        let o = e.reduce((u, n) => u + n, 0),
-            i = Math.random() * o;
-        for (let u = 0; u < e.length; ++u) if (((i -= e[u]), i <= 0)) return u;
-        return 0;
-    }
-    static getSampler(e) {
-        if (e.do_sample) return new MultinomialSampler(e);
-        if (e.num_beams > 1) return new BeamSearchSampler(e);
-        if (e.num_return_sequences > 1)
-            throw Error(`num_return_sequences has to be 1 when doing greedy search, but is ${e.num_return_sequences}.`);
-        return new GreedySampler(e);
-    }
-}
-class GreedySampler extends Sampler {
-    sample(e, o = -1) {
-        let i = this.getLogits(e, o);
-        return [[max(i)[1], 0]];
-    }
-}
-class MultinomialSampler extends Sampler {
-    sample(e, o = -1) {
-        let i = e.dims.at(-1);
-        this.generation_config.top_k > 0 && (i = Math.min(this.generation_config.top_k, i));
-        const u = this.getLogits(e, o),
-            n = getTopItems(u, i),
-            s = softmax(n.map((d) => d[1]));
-        return Array.from({ length: this.generation_config.num_beams }, () => {
-            const d = this.randomSelect(s);
-            return [n[d][0], Math.log(s[d])];
-        });
-    }
-}
-class BeamSearchSampler extends Sampler {
-    sample(e, o = -1) {
-        let i = e.dims.at(-1);
-        this.generation_config.top_k > 0 && (i = Math.min(this.generation_config.top_k, i));
-        const u = this.getLogits(e, o),
-            n = getTopItems(u, i),
-            s = softmax(n.map((d) => d[1]));
-        return Array.from({ length: this.generation_config.num_beams }, (d, f) => [n[f][0], Math.log(s[f])]);
-    }
-}
-const MODEL_TYPES = { EncoderOnly: 0, EncoderDecoder: 1, Seq2Seq: 2, Vision2Seq: 3, DecoderOnly: 4, MaskGeneration: 5 },
-    MODEL_TYPE_MAPPING = new Map(),
-    MODEL_NAME_TO_CLASS_MAPPING = new Map(),
-    MODEL_CLASS_TO_NAME_MAPPING = new Map();
-async function constructSession(t, e, o) {
-    const i = `onnx/${e}${o.quantized ? '_quantized' : ''}.onnx`,
-        u = await getModelFile(t, i, !0, o),
-        n = o.session_options ?? {};
-    if (n.externalData !== void 0)
-        for (let s = 0; s < n.externalData.length; s++) {
-            const d = n.externalData[s];
-            if (typeof d.data == 'string') {
-                const f = await getModelFile(t, d.data, !0, o);
-                d.data = f;
-            }
-        }
-    return await createInferenceSession(u, n);
-}
-function validateInputs(t, e) {
-    const o = Object.create(null),
-        i = [];
-    for (const s of t.inputNames) {
-        const d = e[s];
-        if (!(d instanceof Tensor)) {
-            i.push(s);
-            continue;
-        }
-        o[s] = isONNXProxy() ? d.clone() : d;
-    }
-    if (i.length > 0)
-        throw new Error(`An error occurred during model execution: "Missing the following inputs: ${i.join(', ')}.`);
-    const u = Object.keys(e).length,
-        n = t.inputNames.length;
-    if (u > n) {
-        let s = Object.keys(e).filter((d) => !t.inputNames.includes(d));
-        console.warn(
-            `WARNING: Too many inputs were provided (${u} > ${n}). The following inputs will be ignored: "${s.join(
-                ', '
-            )}".`
-        );
-    }
-    return o;
-}
-async function sessionRun(t, e) {
-    const o = validateInputs(t, e);
-    try {
-        const i = Object.fromEntries(Object.entries(o).map(([n, s]) => [n, s.ort_tensor]));
-        let u = await t.run(i);
-        u = replaceTensors(u);
-        for (const [n, s] of Object.entries(o)) n.startsWith('past_key_values') && s.dispose();
-        return u;
-    } catch (i) {
-        throw (
-            (console.error(`An error occurred during model execution: "${i}".`),
-            console.error('Inputs given to model:', o),
-            i)
-        );
-    }
-}
-function replaceTensors(t) {
-    for (let e in t) isONNXTensor(t[e]) ? (t[e] = new Tensor(t[e])) : typeof t[e] == 'object' && replaceTensors(t[e]);
-    return t;
-}
-function toI64Tensor(t) {
-    if (t instanceof Tensor) return t;
-    if (t.length === 0) throw Error('items must be non-empty');
-    if (Array.isArray(t[0])) {
-        if (t.some((e) => e.length !== t[0].length))
-            throw Error(
-                "Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' and/or 'truncation=True' to have batched tensors with the same length."
-            );
-        return new Tensor('int64', BigInt64Array.from(t.flat().map((e) => BigInt(e))), [t.length, t[0].length]);
-    } else return new Tensor('int64', BigInt64Array.from(t.map((e) => BigInt(e))), [1, t.length]);
-}
-function prepareAttentionMask(t, e) {
-    let o = t.config.pad_token_id ?? null,
-        i = t.config.eos_token_id ?? null;
-    isIntegralNumber(i) && (i = [i]);
-    let u = e.indexOf(o) !== -1,
-        n = i === null || !i.includes(o);
-    if (u && n) {
-        let s = BigInt64Array.from(e.data.map((d) => d != o));
-        return new Tensor('int64', s, e.dims);
-    } else return ones_like(e);
-}
-function preparePositionIds(t, e, o) {
-    if (!t.inputNames.includes('position_ids')) return;
-    const i = new BigInt64Array(e.attention_mask.data.length);
-    for (let u = 0; u < e.attention_mask.dims[0]; ++u) {
-        let n = u * e.attention_mask.dims[1],
-            s = BigInt(0);
-        for (let d = 0; d < e.attention_mask.dims[1]; ++d) {
-            const f = n + d;
-            e.attention_mask.data[f] === 0n ? (i[f] = BigInt(1)) : ((i[f] = s), (s += e.attention_mask.data[f]));
-        }
-    }
-    (e.position_ids = new Tensor('int64', i, e.attention_mask.dims)),
-        o && (e.position_ids = e.position_ids.slice(null, -1).unsqueeze_(-1));
-}
-function boolTensor(t) {
-    return new Tensor('bool', [t], [1]);
-}
-async function seq2seqForward(t, e) {
-    let { encoder_outputs: o, past_key_values: i } = e;
-    o || (o = (await encoderForward(t, e)).last_hidden_state);
-    let u = { input_ids: e.decoder_input_ids, encoder_hidden_states: o };
-    const n = !!i;
-    t.decoder_merged_session.inputNames.includes('use_cache_branch') && (u.use_cache_branch = boolTensor(n)),
-        t.decoder_merged_session.inputNames.includes('encoder_attention_mask') &&
-            (u.encoder_attention_mask = e.attention_mask),
-        preparePositionIds(t.decoder_merged_session, u, n),
-        t.addPastKeyValues(u, i);
-    const s = await sessionRun(t.decoder_merged_session, u);
-    let d = s.logits;
-    i = t.getPastKeyValues(s, i);
-    const f = t.getAttentions(s);
-    return new Seq2SeqLMOutput({ logits: d, past_key_values: i, encoder_outputs: o, ...f });
-}
-function seq2seqStartBeams(t, e, o, i) {
-    let u = [],
-        n = 0;
-    const s = t.requires_attention_mask ?? !0;
-    let d = o.decoder_input_ids ?? o.decoder_start_token_id ?? o.bos_token_id ?? o.eos_token_id;
-    d instanceof Tensor ? (d = d.tolist().flat()) : Array.isArray(d) || (d = [d]);
-    for (let f of e) {
-        f.dims = [1, ...f.dims];
-        let r = {
-            inputs: f,
-            encoder_outputs: null,
-            prev_model_outputs: null,
-            output_token_ids: d,
-            done: !1,
-            score: 0,
-            id: n++,
-        };
-        s && (r.attention_mask = prepareAttentionMask(t, f)), u.push(r);
-    }
-    return u;
-}
-async function seq2seqRunBeam(t, e) {
-    const o = t.main_input_name;
-    let i = e.output_token_ids;
-    e.prev_model_outputs && (i = i.slice(-1));
-    let u = {
-        [o]: e.inputs,
-        decoder_input_ids: toI64Tensor(i),
-        encoder_outputs: e.encoder_outputs,
-        past_key_values: e.prev_model_outputs?.past_key_values,
-    };
-    e.attention_mask && (u.attention_mask = e.attention_mask);
-    let n = await t.forward(u);
-    return (e.prev_model_outputs = n), (e.encoder_outputs = n.encoder_outputs), n;
-}
-function seq2seqUpdatebeam(t, e) {
-    t.output_token_ids = [...t.output_token_ids, e];
-}
-async function encoderForward(t, e) {
-    const o = Object.create(null);
-    for (const i of t.session.inputNames) o[i] = e[i];
-    return (
-        t.session.inputNames.includes('token_type_ids') &&
-            !o.token_type_ids &&
-            (o.token_type_ids = new Tensor('int64', new BigInt64Array(o.input_ids.data.length), o.input_ids.dims)),
-        await sessionRun(t.session, o)
-    );
-}
-async function decoderForward(t, e) {
-    let { input_ids: o, past_key_values: i, attention_mask: u } = e,
-        n = { input_ids: o, attention_mask: u ?? prepareAttentionMask(t, o) };
-    const s = !!i;
-    t.session.inputNames.includes('use_cache_branch') && (n.use_cache_branch = boolTensor(s)),
-        preparePositionIds(t.session, n, s),
-        t.addPastKeyValues(n, i);
-    let d = await sessionRun(t.session, n),
-        f = d.logits;
-    return (i = t.getPastKeyValues(d, i)), { logits: f, past_key_values: i };
-}
-function decoderStartBeams(t, e, o, i, u) {
-    let n = [],
-        s = 0;
-    for (let d of e) {
-        let f = d.tolist().map(Number);
-        d.dims = [1, ...d.dims];
-        let r;
-        u ? ((r = u[s]), (r.dims = [1, ...r.dims])) : (r = prepareAttentionMask(t, d));
-        let a = {
-            input: d,
-            model_input_ids: d,
-            attention_mask: r,
-            prev_model_outputs: null,
-            output_token_ids: f,
-            num_output_tokens: i,
-            done: !1,
-            score: 0,
-            id: s++,
-        };
-        n.push(a);
-    }
-    return n;
-}
-async function decoderRunBeam(t, e) {
-    let o = new BigInt64Array(e.output_token_ids.length).fill(1n),
-        i = {
-            input_ids: e.model_input_ids,
-            attention_mask: new Tensor('int64', o, [1, o.length]),
-            past_key_values: e.prev_model_outputs?.past_key_values,
-        },
-        u = await t.forward(i);
-    return (e.prev_model_outputs = u), u;
-}
-function decoderUpdatebeam(t, e) {
-    (t.output_token_ids = [...t.output_token_ids, e]), (t.model_input_ids = new Tensor('int64', [BigInt(e)], [1, 1]));
-}
-class PreTrainedModel extends Callable {
-    main_input_name = 'input_ids';
-    constructor(e, o) {
-        super(), (this.config = e), (this.session = o);
-        const i = MODEL_CLASS_TO_NAME_MAPPING.get(this.constructor),
-            u = MODEL_TYPE_MAPPING.get(i);
-        (this.can_generate = !1),
-            (this._runBeam = null),
-            (this._getStartBeams = null),
-            (this._updateBeam = null),
-            (this._forward = null),
-            u === MODEL_TYPES.DecoderOnly
-                ? ((this.can_generate = !0),
-                  (this._runBeam = decoderRunBeam),
-                  (this._getStartBeams = decoderStartBeams),
-                  (this._updateBeam = decoderUpdatebeam),
-                  (this._forward = decoderForward))
-                : u === MODEL_TYPES.Seq2Seq || u === MODEL_TYPES.Vision2Seq
-                ? ((this.can_generate = !0),
-                  (this._runBeam = seq2seqRunBeam),
-                  (this._getStartBeams = seq2seqStartBeams),
-                  (this._updateBeam = seq2seqUpdatebeam),
-                  (this._forward = seq2seqForward))
-                : u === MODEL_TYPES.EncoderDecoder
-                ? (this._forward = encoderForward)
-                : (this._forward = encoderForward);
-    }
-    async dispose() {
-        const e = [];
-        for (let o of Object.keys(this)) {
-            let i = this[o];
-            i?.handler?.dispose !== void 0 && e.push(i.handler.dispose());
-        }
-        return await Promise.all(e);
-    }
-    static async from_pretrained(
-        e,
-        {
-            quantized: o = !0,
-            progress_callback: i = null,
-            config: u = null,
-            cache_dir: n = null,
-            local_files_only: s = !1,
-            revision: d = 'main',
-            model_file_name: f = null,
-            session_options: r = {},
-        } = {}
-    ) {
-        let a = {
-            quantized: o,
-            progress_callback: i,
-            config: u,
-            cache_dir: n,
-            local_files_only: s,
-            revision: d,
-            model_file_name: f,
-            session_options: r,
-        };
-        const l = MODEL_CLASS_TO_NAME_MAPPING.get(this),
-            p = MODEL_TYPE_MAPPING.get(l);
-        let m;
-        return (
-            p === MODEL_TYPES.DecoderOnly
-                ? (m = await Promise.all([
-                      AutoConfig.from_pretrained(e, a),
-                      constructSession(e, a.model_file_name ?? 'decoder_model_merged', a),
-                      getModelJSON(e, 'generation_config.json', !1, a),
-                  ]))
-                : p === MODEL_TYPES.Seq2Seq || p === MODEL_TYPES.Vision2Seq
-                ? (m = await Promise.all([
-                      AutoConfig.from_pretrained(e, a),
-                      constructSession(e, 'encoder_model', a),
-                      constructSession(e, 'decoder_model_merged', a),
-                      getModelJSON(e, 'generation_config.json', !1, a),
-                  ]))
-                : p === MODEL_TYPES.MaskGeneration
-                ? (m = await Promise.all([
-                      AutoConfig.from_pretrained(e, a),
-                      constructSession(e, 'vision_encoder', a),
-                      constructSession(e, 'prompt_encoder_mask_decoder', a),
-                  ]))
-                : p === MODEL_TYPES.EncoderDecoder
-                ? (m = await Promise.all([
-                      AutoConfig.from_pretrained(e, a),
-                      constructSession(e, 'encoder_model', a),
-                      constructSession(e, 'decoder_model_merged', a),
-                  ]))
-                : (p !== MODEL_TYPES.EncoderOnly &&
-                      console.warn(
-                          `Model type for '${
-                              l ?? u?.model_type
-                          }' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`
-                      ),
-                  (m = await Promise.all([
-                      AutoConfig.from_pretrained(e, a),
-                      constructSession(e, a.model_file_name ?? 'model', a),
-                  ]))),
-            new this(...m)
-        );
-    }
-    async _call(e) {
-        return await this.forward(e);
-    }
-    async forward(e) {
-        return await this._forward(this, e);
-    }
-    _get_logits_processor(e, o, i = null) {
-        const u = new LogitsProcessorList();
-        if (
-            (e.repetition_penalty !== null &&
-                e.repetition_penalty !== 1 &&
-                u.push(new RepetitionPenaltyLogitsProcessor(e.repetition_penalty)),
-            e.no_repeat_ngram_size !== null &&
-                e.no_repeat_ngram_size > 0 &&
-                u.push(new NoRepeatNGramLogitsProcessor(e.no_repeat_ngram_size)),
-            e.bad_words_ids !== null && u.push(new NoBadWordsLogitsProcessor(e.bad_words_ids, e.eos_token_id)),
-            e.min_length !== null &&
-                e.eos_token_id !== null &&
-                e.min_length > 0 &&
-                u.push(new MinLengthLogitsProcessor(e.min_length, e.eos_token_id)),
-            e.min_new_tokens !== null &&
-                e.eos_token_id !== null &&
-                e.min_new_tokens > 0 &&
-                u.push(new MinNewTokensLengthLogitsProcessor(o, e.min_new_tokens, e.eos_token_id)),
-            e.forced_bos_token_id !== null && u.push(new ForcedBOSTokenLogitsProcessor(e.forced_bos_token_id)),
-            e.forced_eos_token_id !== null &&
-                u.push(new ForcedEOSTokenLogitsProcessor(e.max_length, e.forced_eos_token_id)),
-            e.begin_suppress_tokens !== null)
-        ) {
-            let n = o > 1 || e.forced_bos_token_id === null ? o : o + 1;
-            e.forced_decoder_ids !== null && (n += e.forced_decoder_ids[e.forced_decoder_ids.length - 1][0]),
-                u.push(new SuppressTokensAtBeginLogitsProcessor(e.begin_suppress_tokens, n));
-        }
-        return (
-            e.forced_decoder_ids !== null && u.push(new ForceTokensLogitsProcessor(e.forced_decoder_ids)),
-            i !== null && u.extend(i),
-            u
-        );
-    }
-    _get_generation_config(e) {
-        let o = new GenerationConfig(this.config);
-        return (
-            'generation_config' in this && Object.assign(o, this.generation_config),
-            e !== null && Object.assign(o, e),
-            o
-        );
-    }
-    async generate(e, o = null, i = null, { inputs_attention_mask: u = null } = {}) {
-        if (!this.can_generate) {
-            let v = `The current model class (${MODEL_CLASS_TO_NAME_MAPPING.get(
-                this.constructor
-            )}) is not compatible with \`.generate()\`, as it doesn't have a language model head.`;
-            const S = this.config.model_type,
-                E =
-                    MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(S) ??
-                    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES.get(S) ??
-                    MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES.get(S) ??
-                    MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES.get(S);
-            throw (E && (v += ` Please use the following class instead: '${E[0]}'`), Error(v));
-        }
-        if (!(e instanceof Tensor) && !isTypedArray(e) && !Array.isArray(e))
-            throw Error(`\`inputs\` must be a Tensor, TypedArray, or Array, but is "${e.constructor.name}".`);
-        let n;
-        if (this.config.is_encoder_decoder) n = 0;
-        else if (((n = e instanceof Tensor ? e.dims.at(-1) : e.length), n === 0))
-            throw Error('Must supply a non-empty array of input token ids.');
-        (o = this._get_generation_config(o)),
-            (i = i ?? new LogitsProcessorList()),
-            (i = this._get_logits_processor(o, n, i));
-        let s = o.eos_token_id;
-        s !== null && !Array.isArray(s) && (s = [s]);
-        let d = 1;
-        const f = d + (o.max_new_tokens ?? 1 / 0),
-            r = Number.isInteger(o.max_length) && (o.max_new_tokens ?? null) === null;
-        let a = Sampler.getSampler(o),
-            l = this.getStartBeams(e, o, d, u);
-        for (; l.some((T) => !T.done) && d < f; ) {
-            let T = [];
-            for (let v of l) {
-                if (v.done) {
-                    T.push(v);
-                    continue;
-                }
-                if (r && v.output_token_ids.length >= o.max_length) {
-                    (v.done = !0), T.push(v);
-                    continue;
-                }
-                let S = await this.runBeam(v);
-                o.output_attentions && this.addAttentionsToBeam(v, S), o.output_scores;
-                let E = S.logits.slice(null, -1, null);
-                i(v.output_token_ids, E);
-                let A = a(E);
-                for (let [F, B] of A) {
-                    let J = { ...v };
-                    this.updateBeam(J, F), (J.score += B), s && s.includes(F) && (J.done = !0), T.push(J);
-                }
-            }
-            ++d,
-                (T = this.groupBeams(T).map((v) => v.sort((S, E) => E.score - S.score).slice(0, o.num_beams))),
-                (l = T.flat()),
-                o.callback_function && o.callback_function(l);
-        }
-        const p = this.groupBeams(l),
-            m = (T) =>
-                p
-                    .map((v) =>
-                        o.num_return_sequences > 1 ? v.slice(0, o.num_return_sequences).map((S) => S[T]) : [v[0][T]]
-                    )
-                    .flat(),
-            y = m('output_token_ids');
-        if (o.return_dict_in_generate) {
-            const T = m('decoder_attentions'),
-                v = m('cross_attentions');
-            return { sequences: y, decoder_attentions: T, cross_attentions: v };
-        } else return y;
-    }
-    addAttentionsToBeam(e, o) {
-        if (this.config.is_encoder_decoder) {
-            if (!o.cross_attentions || o.cross_attentions.length === 0)
-                throw Error(
-                    '`output_attentions` is true, but the model did not produce cross-attentions. This is most likely because the model was not exported with `output_attentions=True`.'
-                );
-            e.cross_attentions || (e.cross_attentions = []), e.cross_attentions.push(o.cross_attentions);
-        }
-        if (!o.decoder_attentions || o.decoder_attentions.length === 0)
-            throw Error(
-                '`output_attentions` is true, but the model did not produce decoder-attentions. This is most likely because the model was not exported with `output_attentions=True`.'
-            );
-        e.decoder_attentions || (e.decoder_attentions = []), e.decoder_attentions.push(o.decoder_attentions);
-    }
-    groupBeams(e) {
-        const o = Object.create(null);
-        for (const i of e) o[i.id] === void 0 ? (o[i.id] = [i]) : o[i.id].push(i);
-        return Object.values(o);
-    }
-    getPastKeyValues(e, o) {
-        const i = Object.create(null);
-        for (const u in e)
-            if (u.startsWith('present')) {
-                let n = u.replace('present', 'past_key_values');
-                o && u.includes('encoder') ? (i[n] = o[n]) : (i[n] = e[u]);
-            }
-        return i;
-    }
-    getAttentions(e) {
-        const o = Object.create(null);
-        for (const i of ['cross_attentions', 'decoder_attentions']) {
-            const u = [];
-            for (const n in e)
-                if (n.startsWith(i)) {
-                    const s = n.split('.').pop();
-                    u[s] = e[n];
-                }
-            o[i] = u;
-        }
-        return o;
-    }
-    addPastKeyValues(e, o) {
-        if (o) Object.assign(e, o);
-        else {
-            const u = this.config.precision || 'float32',
-                n = u === 'float16' ? new Uint16Array() : [];
-            if (this.config.is_encoder_decoder && (this.add_encoder_pkv ?? !0)) {
-                let s = [1, this.num_encoder_heads, 0, this.encoder_dim_kv],
-                    d = [1, this.num_decoder_heads, 0, this.decoder_dim_kv];
-                for (let f = 0; f < this.num_decoder_layers; ++f)
-                    (e[`past_key_values.${f}.encoder.key`] = new Tensor(u, n, s)),
-                        (e[`past_key_values.${f}.encoder.value`] = new Tensor(u, n, s)),
-                        (e[`past_key_values.${f}.decoder.key`] = new Tensor(u, n, d)),
-                        (e[`past_key_values.${f}.decoder.value`] = new Tensor(u, n, d));
-            } else if (this.config.model_type === 'falcon') {
-                let s = [1 * this.num_heads, 0, this.dim_kv];
-                for (let d = 0; d < this.num_layers; ++d)
-                    (e[`past_key_values.${d}.key`] = new Tensor(u, n, s)),
-                        (e[`past_key_values.${d}.value`] = new Tensor(u, n, s));
-            } else if (this.config.multi_query) {
-                let s = [1 * this.num_heads, 0, 2 * this.dim_kv];
-                for (let d = 0; d < this.num_layers; ++d) e[`past_key_values.${d}.key_value`] = new Tensor(u, n, s);
-            } else if (this.config.model_type === 'bloom') {
-                let s = [1 * this.num_heads, this.dim_kv, 0],
-                    d = [1 * this.num_heads, 0, this.dim_kv];
-                for (let f = 0; f < this.num_layers; ++f)
-                    (e[`past_key_values.${f}.key`] = new Tensor(u, n, s)),
-                        (e[`past_key_values.${f}.value`] = new Tensor(u, n, d));
-            } else {
-                let s = [1, this.num_heads, 0, this.dim_kv];
-                for (let d = 0; d < this.num_layers; ++d)
-                    (e[`past_key_values.${d}.key`] = new Tensor(u, n, s)),
-                        (e[`past_key_values.${d}.value`] = new Tensor(u, n, s));
-            }
-        }
-    }
-    getStartBeams(e, o, i, u) {
-        return this._getStartBeams(this, e, o, i, u);
-    }
-    async runBeam(e) {
-        return await this._runBeam(this, e);
-    }
-    updateBeam(e, o) {
-        return this._updateBeam(e, o);
-    }
-}
-class ModelOutput {}
-class BertPreTrainedModel extends PreTrainedModel {}
-class BertModel extends BertPreTrainedModel {}
-class BertForMaskedLM extends BertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class BertForSequenceClassification extends BertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class BertForTokenClassification extends BertPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class BertForQuestionAnswering extends BertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class NomicBertPreTrainedModel extends PreTrainedModel {}
-class NomicBertModel extends NomicBertPreTrainedModel {}
-class RoFormerPreTrainedModel extends PreTrainedModel {}
-class RoFormerModel extends RoFormerPreTrainedModel {}
-class RoFormerForMaskedLM extends RoFormerPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class RoFormerForSequenceClassification extends RoFormerPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class RoFormerForTokenClassification extends RoFormerPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class RoFormerForQuestionAnswering extends RoFormerPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class ConvBertPreTrainedModel extends PreTrainedModel {}
-class ConvBertModel extends ConvBertPreTrainedModel {}
-class ConvBertForMaskedLM extends ConvBertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class ConvBertForSequenceClassification extends ConvBertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class ConvBertForTokenClassification extends ConvBertPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class ConvBertForQuestionAnswering extends ConvBertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class ElectraPreTrainedModel extends PreTrainedModel {}
-class ElectraModel extends ElectraPreTrainedModel {}
-class ElectraForMaskedLM extends ElectraPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class ElectraForSequenceClassification extends ElectraPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class ElectraForTokenClassification extends ElectraPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class ElectraForQuestionAnswering extends ElectraPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class CamembertPreTrainedModel extends PreTrainedModel {}
-class CamembertModel extends CamembertPreTrainedModel {}
-class CamembertForMaskedLM extends CamembertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class CamembertForSequenceClassification extends CamembertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class CamembertForTokenClassification extends CamembertPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class CamembertForQuestionAnswering extends CamembertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class DebertaPreTrainedModel extends PreTrainedModel {}
-class DebertaModel extends DebertaPreTrainedModel {}
-class DebertaForMaskedLM extends DebertaPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class DebertaForSequenceClassification extends DebertaPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class DebertaForTokenClassification extends DebertaPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class DebertaForQuestionAnswering extends DebertaPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class DebertaV2PreTrainedModel extends PreTrainedModel {}
-class DebertaV2Model extends DebertaV2PreTrainedModel {}
-class DebertaV2ForMaskedLM extends DebertaV2PreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class DebertaV2ForSequenceClassification extends DebertaV2PreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class DebertaV2ForTokenClassification extends DebertaV2PreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class DebertaV2ForQuestionAnswering extends DebertaV2PreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class DistilBertPreTrainedModel extends PreTrainedModel {}
-class DistilBertModel extends DistilBertPreTrainedModel {}
-class DistilBertForSequenceClassification extends DistilBertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class DistilBertForTokenClassification extends DistilBertPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class DistilBertForQuestionAnswering extends DistilBertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class DistilBertForMaskedLM extends DistilBertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class EsmPreTrainedModel extends PreTrainedModel {}
-class EsmModel extends EsmPreTrainedModel {}
-class EsmForMaskedLM extends EsmPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class EsmForSequenceClassification extends EsmPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class EsmForTokenClassification extends EsmPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class MobileBertPreTrainedModel extends PreTrainedModel {}
-class MobileBertModel extends MobileBertPreTrainedModel {}
-class MobileBertForMaskedLM extends MobileBertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class MobileBertForSequenceClassification extends MobileBertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class MobileBertForQuestionAnswering extends MobileBertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class MPNetPreTrainedModel extends PreTrainedModel {}
-class MPNetModel extends MPNetPreTrainedModel {}
-class MPNetForMaskedLM extends MPNetPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class MPNetForSequenceClassification extends MPNetPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class MPNetForTokenClassification extends MPNetPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class MPNetForQuestionAnswering extends MPNetPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class SqueezeBertPreTrainedModel extends PreTrainedModel {}
-class SqueezeBertModel extends SqueezeBertPreTrainedModel {}
-class SqueezeBertForMaskedLM extends SqueezeBertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class SqueezeBertForSequenceClassification extends SqueezeBertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class SqueezeBertForQuestionAnswering extends SqueezeBertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class AlbertPreTrainedModel extends PreTrainedModel {}
-class AlbertModel extends AlbertPreTrainedModel {}
-class AlbertForSequenceClassification extends AlbertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class AlbertForQuestionAnswering extends AlbertPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class AlbertForMaskedLM extends AlbertPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class T5PreTrainedModel extends PreTrainedModel {}
-class T5Model extends T5PreTrainedModel {}
-class T5ForConditionalGeneration extends T5PreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.num_decoder_layers),
-            (this.num_decoder_heads = this.config.num_heads),
-            (this.decoder_dim_kv = this.config.d_kv),
-            (this.num_encoder_layers = this.config.num_layers),
-            (this.num_encoder_heads = this.config.num_heads),
-            (this.encoder_dim_kv = this.config.d_kv);
-    }
-}
-class LongT5PreTrainedModel extends PreTrainedModel {}
-class LongT5Model extends LongT5PreTrainedModel {}
-class LongT5ForConditionalGeneration extends LongT5PreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.num_decoder_layers),
-            (this.num_decoder_heads = this.config.num_heads),
-            (this.decoder_dim_kv = this.config.d_kv),
-            (this.num_encoder_layers = this.config.num_layers),
-            (this.num_encoder_heads = this.config.num_heads),
-            (this.encoder_dim_kv = this.config.d_kv);
-    }
-}
-class MT5PreTrainedModel extends PreTrainedModel {}
-class MT5Model extends MT5PreTrainedModel {}
-class MT5ForConditionalGeneration extends MT5PreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.num_decoder_layers),
-            (this.num_decoder_heads = this.config.num_heads),
-            (this.decoder_dim_kv = this.config.d_kv),
-            (this.num_encoder_layers = this.config.num_layers),
-            (this.num_encoder_heads = this.config.num_heads),
-            (this.encoder_dim_kv = this.config.d_kv);
-    }
-}
-class BartPretrainedModel extends PreTrainedModel {}
-class BartModel extends BartPretrainedModel {}
-class BartForConditionalGeneration extends BartPretrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class BartForSequenceClassification extends BartPretrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class MBartPreTrainedModel extends PreTrainedModel {}
-class MBartModel extends MBartPreTrainedModel {}
-class MBartForConditionalGeneration extends MBartPreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class MBartForSequenceClassification extends MBartPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class MBartForCausalLM extends MBartPreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class BlenderbotPreTrainedModel extends PreTrainedModel {}
-class BlenderbotModel extends BlenderbotPreTrainedModel {}
-class BlenderbotForConditionalGeneration extends BlenderbotPreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class BlenderbotSmallPreTrainedModel extends PreTrainedModel {}
-class BlenderbotSmallModel extends BlenderbotSmallPreTrainedModel {}
-class BlenderbotSmallForConditionalGeneration extends BlenderbotSmallPreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class RobertaPreTrainedModel extends PreTrainedModel {}
-class RobertaModel extends RobertaPreTrainedModel {}
-class RobertaForMaskedLM extends RobertaPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class RobertaForSequenceClassification extends RobertaPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class RobertaForTokenClassification extends RobertaPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class RobertaForQuestionAnswering extends RobertaPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class XLMPreTrainedModel extends PreTrainedModel {}
-class XLMModel extends XLMPreTrainedModel {}
-class XLMWithLMHeadModel extends XLMPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class XLMForSequenceClassification extends XLMPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class XLMForTokenClassification extends XLMPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class XLMForQuestionAnswering extends XLMPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class XLMRobertaPreTrainedModel extends PreTrainedModel {}
-class XLMRobertaModel extends XLMRobertaPreTrainedModel {}
-class XLMRobertaForMaskedLM extends XLMRobertaPreTrainedModel {
-    async _call(e) {
-        return new MaskedLMOutput(await super._call(e));
-    }
-}
-class XLMRobertaForSequenceClassification extends XLMRobertaPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class XLMRobertaForTokenClassification extends XLMRobertaPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class XLMRobertaForQuestionAnswering extends XLMRobertaPreTrainedModel {
-    async _call(e) {
-        return new QuestionAnsweringModelOutput(await super._call(e));
-    }
-}
-class ASTPreTrainedModel extends PreTrainedModel {}
-class ASTModel extends ASTPreTrainedModel {}
-class ASTForAudioClassification extends ASTPreTrainedModel {}
-class WhisperPreTrainedModel extends PreTrainedModel {}
-class WhisperModel extends WhisperPreTrainedModel {}
-class WhisperForConditionalGeneration extends WhisperPreTrainedModel {
-    requires_attention_mask = !1;
-    main_input_name = 'input_features';
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-    async generate(e, o = null, i = null) {
-        if (
-            ((o = this._get_generation_config(o)),
-            (o.return_timestamps ??= !1),
-            o.return_timestamps && (i = [new WhisperTimeStampLogitsProcessor(o)]),
-            o.return_token_timestamps &&
-                ((o.output_attentions = !0),
-                (o.return_dict_in_generate = !0),
-                o.task === 'translate' &&
-                    console.warn("Token-level timestamps may not be reliable for task 'translate'."),
-                !o.alignment_heads))
-        )
-            throw new Error(
-                'Model generation config has no `alignment_heads`, token-level timestamps not available. See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config.'
-            );
-        const u = await super.generate(e, o, i);
-        return (
-            o.return_token_timestamps &&
-                o.alignment_heads &&
-                (u.token_timestamps = this._extract_token_timestamps(u, o.alignment_heads, o.num_frames)),
-            u
-        );
-    }
-    _extract_token_timestamps(e, o, i = null, u = 0.02) {
-        if (!e.cross_attentions)
-            throw new Error(
-                'Model outputs must contain cross attentions to extract timestamps. This is most likely because the model was not exported with `output_attentions=True`.'
-            );
-        let n = this.config.median_filter_width;
-        n === void 0 && (console.warn('Model config has no `median_filter_width`, using default value of 7.'), (n = 7));
-        const s = e.cross_attentions.map((r) => {
-                let a = Array.from({ length: this.config.decoder_layers }, (v, S) =>
-                        cat(
-                            r.map((E) => E[S]),
-                            2
-                        )
-                    ),
-                    l = stack(o.map(([v, S]) => (i ? a[v].slice(null, S, null, [0, i]) : a[v].slice(null, S))));
-                l = l.transpose(1, 0, 2, 3);
-                let [p, m] = std_mean(l, -2, 0, !0),
-                    y = l.clone();
-                for (let v = 0; v < y.dims[0]; ++v) {
-                    let S = y[v];
-                    for (let E = 0; E < S.dims[0]; ++E) {
-                        let A = S[E];
-                        const F = p[v][E][0],
-                            B = m[v][E][0];
-                        for (let J = 0; J < A.dims[0]; ++J) {
-                            let Q = A[J];
-                            for (let re = 0; re < Q.data.length; ++re)
-                                Q.data[re] = (Q.data[re] - B.data[re]) / F.data[re];
-                            Q.data.set(medianFilter(Q.data, n));
-                        }
-                    }
-                }
-                return mean(y, 1);
-            }),
-            d = [e.sequences.length, e.sequences[0].length],
-            f = new Tensor('float32', new Float32Array(d[0] * d[1]), d);
-        for (let r = 0; r < d[0]; ++r) {
-            const a = s[r].neg().squeeze_(0);
-            let [l, p] = dynamicTimeWarping(a),
-                m = Array.from({ length: l.length - 1 }, (v, S) => l[S + 1] - l[S]),
-                y = mergeArrays([1], m).map((v) => !!v),
-                T = [];
-            for (let v = 0; v < y.length; ++v) y[v] && T.push(p[v] * u);
-            f[r].data.set(T, 1);
-        }
-        return f;
-    }
-}
-class VisionEncoderDecoderModel extends PreTrainedModel {
-    main_input_name = 'pixel_values';
-    constructor(e, o, i, u) {
-        super(e, o), (this.decoder_merged_session = i), (this.generation_config = u);
-        const n = this.config.encoder,
-            s = this.config.decoder,
-            d = n.model_type;
-        (MODEL_MAPPING_NAMES_ENCODER_ONLY.get(d) ?? MODEL_MAPPING_NAMES_ENCODER_DECODER.get(d)) ||
-            console.warn(
-                `Model type for encoder '${d}' not found, assuming encoder-only architecture. Please report this at https://github.com/xenova/transformers.js/issues/new/choose.`
-            );
-        const r = MODEL_WITH_LM_HEAD_MAPPING_NAMES.get(s.model_type);
-        if (!r)
-            throw new Error(
-                `Unable to construct \`VisionEncoderDecoder\` due to unsupported decoder: "${this.config.decoder.model_type}"`
-            );
-        const a = r[1],
-            l = new a(s, i, u);
-        (this.add_encoder_pkv = 'num_decoder_layers' in l),
-            this.add_encoder_pkv
-                ? ((this.num_decoder_layers = l.num_decoder_layers),
-                  (this.num_decoder_heads = l.num_decoder_heads),
-                  (this.decoder_dim_kv = l.decoder_dim_kv),
-                  (this.num_encoder_layers = l.num_encoder_layers),
-                  (this.num_encoder_heads = l.num_encoder_heads),
-                  (this.encoder_dim_kv = l.encoder_dim_kv))
-                : ((this.num_layers = l.num_layers), (this.num_heads = l.num_heads), (this.dim_kv = l.dim_kv));
-    }
-}
-class CLIPPreTrainedModel extends PreTrainedModel {}
-class CLIPModel extends CLIPPreTrainedModel {}
-class CLIPTextModelWithProjection extends CLIPPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
-    }
-}
-class CLIPVisionModelWithProjection extends CLIPPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'vision_model'), super.from_pretrained(e, o);
-    }
-}
-class SiglipPreTrainedModel extends PreTrainedModel {}
-class SiglipModel extends SiglipPreTrainedModel {}
-class SiglipTextModel extends SiglipPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
-    }
-}
-class SiglipVisionModel extends CLIPPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'vision_model'), super.from_pretrained(e, o);
-    }
-}
-class ChineseCLIPPreTrainedModel extends PreTrainedModel {}
-class ChineseCLIPModel extends ChineseCLIPPreTrainedModel {}
-class CLIPSegPreTrainedModel extends PreTrainedModel {}
-class CLIPSegModel extends CLIPSegPreTrainedModel {}
-class CLIPSegForImageSegmentation extends CLIPSegPreTrainedModel {}
-class GPT2PreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_head),
-            (this.num_layers = this.config.n_layer),
-            (this.dim_kv = this.config.n_embd / this.num_heads);
-    }
-}
-class GPT2Model extends GPT2PreTrainedModel {}
-class GPT2LMHeadModel extends GPT2PreTrainedModel {}
-class GPTNeoPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_heads),
-            (this.num_layers = this.config.num_layers),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class GPTNeoModel extends GPTNeoPreTrainedModel {}
-class GPTNeoForCausalLM extends GPTNeoPreTrainedModel {}
-class GPTNeoXPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class GPTNeoXModel extends GPTNeoXPreTrainedModel {}
-class GPTNeoXForCausalLM extends GPTNeoXPreTrainedModel {}
-class GPTJPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_head),
-            (this.num_layers = this.config.n_layer),
-            (this.dim_kv = this.config.n_embd / this.num_heads);
-    }
-}
-class GPTJModel extends GPTJPreTrainedModel {}
-class GPTJForCausalLM extends GPTJPreTrainedModel {}
-class GPTBigCodePreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_head),
-            (this.num_layers = this.config.n_layer),
-            (this.dim_kv = this.config.n_embd / this.num_heads);
-    }
-}
-class GPTBigCodeModel extends GPTBigCodePreTrainedModel {}
-class GPTBigCodeForCausalLM extends GPTBigCodePreTrainedModel {}
-class CodeGenPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_head),
-            (this.num_layers = this.config.n_layer),
-            (this.dim_kv = this.config.n_embd / this.num_heads);
-    }
-}
-class CodeGenModel extends CodeGenPreTrainedModel {}
-class CodeGenForCausalLM extends CodeGenPreTrainedModel {}
-class LlamaPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
-    }
-}
-class LlamaModel extends LlamaPreTrainedModel {}
-class LlamaForCausalLM extends LlamaPreTrainedModel {}
-class Qwen2PreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_key_value_heads ?? this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
-    }
-}
-class Qwen2Model extends Qwen2PreTrainedModel {}
-class Qwen2ForCausalLM extends Qwen2PreTrainedModel {}
-class PhiPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class PhiModel extends PhiPreTrainedModel {}
-class PhiForCausalLM extends PhiPreTrainedModel {}
-class BloomPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_head),
-            (this.num_layers = this.config.n_layer),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class BloomModel extends BloomPreTrainedModel {}
-class BloomForCausalLM extends BloomPreTrainedModel {}
-class MptPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.n_heads),
-            (this.num_layers = this.config.n_layers),
-            (this.dim_kv = this.config.d_model / this.num_heads);
-    }
-}
-class MptModel extends MptPreTrainedModel {}
-class MptForCausalLM extends MptPreTrainedModel {}
-class OPTPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class OPTModel extends OPTPreTrainedModel {}
-class OPTForCausalLM extends OPTPreTrainedModel {}
-class ViTPreTrainedModel extends PreTrainedModel {}
-class ViTModel extends ViTPreTrainedModel {}
-class ViTForImageClassification extends ViTPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class VitMattePreTrainedModel extends PreTrainedModel {}
-class VitMatteForImageMatting extends VitMattePreTrainedModel {
-    async _call(e) {
-        return new ImageMattingOutput(await super._call(e));
-    }
-}
-class MobileViTPreTrainedModel extends PreTrainedModel {}
-class MobileViTModel extends MobileViTPreTrainedModel {}
-class MobileViTForImageClassification extends MobileViTPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class OwlViTPreTrainedModel extends PreTrainedModel {}
-class OwlViTModel extends OwlViTPreTrainedModel {}
-class OwlViTForObjectDetection extends OwlViTPreTrainedModel {}
-class Owlv2PreTrainedModel extends PreTrainedModel {}
-class Owlv2Model extends Owlv2PreTrainedModel {}
-class Owlv2ForObjectDetection extends Owlv2PreTrainedModel {}
-class BeitPreTrainedModel extends PreTrainedModel {}
-class BeitModel extends BeitPreTrainedModel {}
-class BeitForImageClassification extends BeitPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class DetrPreTrainedModel extends PreTrainedModel {}
-class DetrModel extends DetrPreTrainedModel {}
-class DetrForObjectDetection extends DetrPreTrainedModel {
-    async _call(e) {
-        return new DetrObjectDetectionOutput(await super._call(e));
-    }
-}
-class DetrForSegmentation extends DetrPreTrainedModel {
-    async _call(e) {
-        return new DetrSegmentationOutput(await super._call(e));
-    }
-}
-class DetrObjectDetectionOutput extends ModelOutput {
-    constructor({ logits: e, pred_boxes: o }) {
-        super(), (this.logits = e), (this.pred_boxes = o);
-    }
-}
-class DetrSegmentationOutput extends ModelOutput {
-    constructor({ logits: e, pred_boxes: o, pred_masks: i }) {
-        super(), (this.logits = e), (this.pred_boxes = o), (this.pred_masks = i);
-    }
-}
-class TableTransformerPreTrainedModel extends PreTrainedModel {}
-class TableTransformerModel extends TableTransformerPreTrainedModel {}
-class TableTransformerForObjectDetection extends TableTransformerPreTrainedModel {
-    async _call(e) {
-        return new TableTransformerObjectDetectionOutput(await super._call(e));
-    }
-}
-class TableTransformerObjectDetectionOutput extends DetrObjectDetectionOutput {}
-class DeiTPreTrainedModel extends PreTrainedModel {}
-class DeiTModel extends DeiTPreTrainedModel {}
-class DeiTForImageClassification extends DeiTPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class ResNetPreTrainedModel extends PreTrainedModel {}
-class ResNetModel extends ResNetPreTrainedModel {}
-class ResNetForImageClassification extends ResNetPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class SwinPreTrainedModel extends PreTrainedModel {}
-class SwinModel extends SwinPreTrainedModel {}
-class SwinForImageClassification extends SwinPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class Swin2SRPreTrainedModel extends PreTrainedModel {}
-class Swin2SRModel extends Swin2SRPreTrainedModel {}
-class Swin2SRForImageSuperResolution extends Swin2SRPreTrainedModel {}
-class DPTPreTrainedModel extends PreTrainedModel {}
-class DPTModel extends DPTPreTrainedModel {}
-class DPTForDepthEstimation extends DPTPreTrainedModel {}
-class DepthAnythingPreTrainedModel extends PreTrainedModel {}
-class DepthAnythingForDepthEstimation extends DepthAnythingPreTrainedModel {}
-class GLPNPreTrainedModel extends PreTrainedModel {}
-class GLPNModel extends GLPNPreTrainedModel {}
-class GLPNForDepthEstimation extends GLPNPreTrainedModel {}
-class DonutSwinPreTrainedModel extends PreTrainedModel {}
-class DonutSwinModel extends DonutSwinPreTrainedModel {}
-class ConvNextPreTrainedModel extends PreTrainedModel {}
-class ConvNextModel extends ConvNextPreTrainedModel {}
-class ConvNextForImageClassification extends ConvNextPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class ConvNextV2PreTrainedModel extends PreTrainedModel {}
-class ConvNextV2Model extends ConvNextV2PreTrainedModel {}
-class ConvNextV2ForImageClassification extends ConvNextV2PreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class Dinov2PreTrainedModel extends PreTrainedModel {}
-class Dinov2Model extends Dinov2PreTrainedModel {}
-class Dinov2ForImageClassification extends Dinov2PreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class YolosPreTrainedModel extends PreTrainedModel {}
-class YolosModel extends YolosPreTrainedModel {}
-class YolosForObjectDetection extends YolosPreTrainedModel {
-    async _call(e) {
-        return new YolosObjectDetectionOutput(await super._call(e));
-    }
-}
-class YolosObjectDetectionOutput extends ModelOutput {
-    constructor({ logits: e, pred_boxes: o }) {
-        super(), (this.logits = e), (this.pred_boxes = o);
-    }
-}
-class SamPreTrainedModel extends PreTrainedModel {}
-class SamModel extends SamPreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o), (this.prompt_encoder_mask_decoder = i);
-    }
-    async get_image_embeddings({ pixel_values: e }) {
-        return await encoderForward(this, { pixel_values: e });
-    }
-    async forward(e) {
-        if (
-            ((!e.image_embeddings || !e.image_positional_embeddings) &&
-                (e = { ...e, ...(await this.get_image_embeddings(e)) }),
-            !e.input_labels)
-        ) {
-            const o = e.input_points.dims.slice(0, -1),
-                i = o.reduce((u, n) => u * n, 1);
-            e.input_labels = new Tensor('int64', new BigInt64Array(i).fill(1n), o);
-        }
-        return await sessionRun(this.prompt_encoder_mask_decoder, {
-            input_points: e.input_points,
-            input_labels: e.input_labels,
-            image_embeddings: e.image_embeddings,
-            image_positional_embeddings: e.image_positional_embeddings,
-        });
-    }
-    async _call(e) {
-        return new SamImageSegmentationOutput(await super._call(e));
-    }
-}
-class SamImageSegmentationOutput extends ModelOutput {
-    constructor({ iou_scores: e, pred_masks: o }) {
-        super(), (this.iou_scores = e), (this.pred_masks = o);
-    }
-}
-class MarianPreTrainedModel extends PreTrainedModel {}
-class MarianModel extends MarianPreTrainedModel {}
-class MarianMTModel extends MarianPreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class M2M100PreTrainedModel extends PreTrainedModel {}
-class M2M100Model extends M2M100PreTrainedModel {}
-class M2M100ForConditionalGeneration extends M2M100PreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.d_model / this.num_encoder_heads);
-    }
-}
-class Wav2Vec2PreTrainedModel extends PreTrainedModel {}
-class Wav2Vec2Model extends Wav2Vec2PreTrainedModel {}
-class Wav2Vec2ForCTC extends Wav2Vec2PreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class Wav2Vec2ForSequenceClassification extends Wav2Vec2PreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class Wav2Vec2ForAudioFrameClassification extends Wav2Vec2PreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class UniSpeechPreTrainedModel extends PreTrainedModel {}
-class UniSpeechModel extends UniSpeechPreTrainedModel {}
-class UniSpeechForCTC extends UniSpeechPreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class UniSpeechForSequenceClassification extends UniSpeechPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class UniSpeechSatPreTrainedModel extends PreTrainedModel {}
-class UniSpeechSatModel extends UniSpeechSatPreTrainedModel {}
-class UniSpeechSatForCTC extends UniSpeechSatPreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class UniSpeechSatForSequenceClassification extends UniSpeechSatPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class UniSpeechSatForAudioFrameClassification extends UniSpeechSatPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class Wav2Vec2BertPreTrainedModel extends PreTrainedModel {}
-class Wav2Vec2BertModel extends Wav2Vec2BertPreTrainedModel {}
-class Wav2Vec2BertForCTC extends Wav2Vec2BertPreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class Wav2Vec2BertForSequenceClassification extends Wav2Vec2BertPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class HubertModel extends Wav2Vec2PreTrainedModel {}
-class HubertForCTC extends Wav2Vec2PreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class HubertForSequenceClassification extends Wav2Vec2PreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class WavLMPreTrainedModel extends PreTrainedModel {}
-class WavLMModel extends WavLMPreTrainedModel {}
-class WavLMForCTC extends WavLMPreTrainedModel {
-    async _call(e) {
-        return new CausalLMOutput(await super._call(e));
-    }
-}
-class WavLMForSequenceClassification extends WavLMPreTrainedModel {
-    async _call(e) {
-        return new SequenceClassifierOutput(await super._call(e));
-    }
-}
-class WavLMForXVector extends WavLMPreTrainedModel {
-    async _call(e) {
-        return new XVectorOutput(await super._call(e));
-    }
-}
-class WavLMForAudioFrameClassification extends WavLMPreTrainedModel {
-    async _call(e) {
-        return new TokenClassifierOutput(await super._call(e));
-    }
-}
-class SpeechT5PreTrainedModel extends PreTrainedModel {}
-class SpeechT5ForSpeechToText extends SpeechT5PreTrainedModel {}
-class SpeechT5ForTextToSpeech extends SpeechT5PreTrainedModel {
-    constructor(e, o, i, u) {
-        super(e, o),
-            (this.decoder_merged_session = i),
-            (this.generation_config = u),
-            (this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.decoder_dim_kv = this.config.hidden_size / this.num_decoder_heads),
-            (this.num_encoder_layers = this.config.encoder_layers),
-            (this.num_encoder_heads = this.config.encoder_attention_heads),
-            (this.encoder_dim_kv = this.config.hidden_size / this.num_encoder_heads);
-    }
-    async generate_speech(
-        e,
-        o,
-        { threshold: i = 0.5, minlenratio: u = 0, maxlenratio: n = 20, vocoder: s = null } = {}
-    ) {
-        const d = { input_ids: e },
-            { encoder_outputs: f, encoder_attention_mask: r } = await encoderForward(this, d),
-            a = f.dims[1] / this.config.reduction_factor,
-            l = Math.floor(a * n),
-            p = Math.floor(a * u),
-            m = this.config.num_mel_bins;
-        let y = [],
-            T = null,
-            v = null,
-            S = 0;
-        for (;;) {
-            ++S;
-            const F = boolTensor(!!v);
-            let B;
-            v ? (B = v.output_sequence_out) : (B = new Tensor('float32', new Float32Array(m), [1, 1, m]));
-            let J = {
-                use_cache_branch: F,
-                output_sequence: B,
-                encoder_attention_mask: r,
-                speaker_embeddings: o,
-                encoder_hidden_states: f,
-            };
-            this.addPastKeyValues(J, T),
-                (v = await sessionRun(this.decoder_merged_session, J)),
-                (T = this.getPastKeyValues(v, T));
-            const { prob: Q, spectrum: re } = v;
-            if ((y.push(re), S >= p && (Array.from(Q.data).filter((V) => V >= i).length > 0 || S >= l))) break;
-        }
-        const E = cat(y),
-            { waveform: A } = await sessionRun(s.session, { spectrogram: E });
-        return { spectrogram: E, waveform: A };
-    }
-}
-class SpeechT5HifiGan extends PreTrainedModel {
-    main_input_name = 'spectrogram';
-}
-class TrOCRPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_encoder_layers = this.num_decoder_layers = this.config.decoder_layers),
-            (this.num_encoder_heads = this.num_decoder_heads = this.config.decoder_attention_heads),
-            (this.encoder_dim_kv = this.decoder_dim_kv = this.config.d_model / this.num_decoder_heads);
-    }
-}
-class TrOCRForCausalLM extends TrOCRPreTrainedModel {}
-class MistralPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_key_value_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
-    }
-}
-class MistralModel extends MistralPreTrainedModel {}
-class MistralForCausalLM extends MistralPreTrainedModel {}
-class Starcoder2PreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_key_value_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
-    }
-}
-class Starcoder2Model extends Starcoder2PreTrainedModel {}
-class Starcoder2ForCausalLM extends Starcoder2PreTrainedModel {}
-class FalconPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.config.num_attention_heads);
-    }
-}
-class FalconModel extends FalconPreTrainedModel {}
-class FalconForCausalLM extends FalconPreTrainedModel {}
-class ClapPreTrainedModel extends PreTrainedModel {}
-class ClapModel extends ClapPreTrainedModel {}
-class ClapTextModelWithProjection extends ClapPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'text_model'), super.from_pretrained(e, o);
-    }
-}
-class ClapAudioModelWithProjection extends ClapPreTrainedModel {
-    static async from_pretrained(e, o = {}) {
-        return (o.model_file_name ??= 'audio_model'), super.from_pretrained(e, o);
-    }
-}
-class VitsPreTrainedModel extends PreTrainedModel {}
-class VitsModel extends VitsPreTrainedModel {
-    async _call(e) {
-        return new VitsModelOutput(await super._call(e));
-    }
-}
-class SegformerPreTrainedModel extends PreTrainedModel {}
-class SegformerForImageClassification extends SegformerPreTrainedModel {}
-class SegformerForSemanticSegmentation extends SegformerPreTrainedModel {}
-class StableLmPreTrainedModel extends PreTrainedModel {
-    constructor(e, o, i) {
-        super(e, o),
-            (this.generation_config = i),
-            (this.config.pad_token_id = this.config.eos_token_id),
-            (this.num_heads = this.config.num_attention_heads),
-            (this.num_layers = this.config.num_hidden_layers),
-            (this.dim_kv = this.config.hidden_size / this.num_heads);
-    }
-}
-class StableLmForCausalLM extends StableLmPreTrainedModel {}
-class PretrainedMixin {
-    static MODEL_CLASS_MAPPINGS = null;
-    static BASE_IF_FAIL = !1;
-    static async from_pretrained(
-        e,
-        {
-            quantized: o = !0,
-            progress_callback: i = null,
-            config: u = null,
-            cache_dir: n = null,
-            local_files_only: s = !1,
-            revision: d = 'main',
-            model_file_name: f = null,
-            session_options: r = {},
-        } = {}
-    ) {
-        let a = {
-            quantized: o,
-            progress_callback: i,
-            config: u,
-            cache_dir: n,
-            local_files_only: s,
-            revision: d,
-            model_file_name: f,
-            session_options: r,
-        };
-        if (((u = await AutoConfig.from_pretrained(e, a)), a.config || (a.config = u), !this.MODEL_CLASS_MAPPINGS))
-            throw new Error('`MODEL_CLASS_MAPPINGS` not implemented for this type of `AutoClass`: ' + this.name);
-        for (let l of this.MODEL_CLASS_MAPPINGS) {
-            const p = l.get(u.model_type);
-            if (p) return await p[1].from_pretrained(e, a);
-        }
-        if (this.BASE_IF_FAIL)
-            return (
-                console.warn(`Unknown model class "${u.model_type}", attempting to construct from base class.`),
-                await PreTrainedModel.from_pretrained(e, a)
-            );
-        throw Error(`Unsupported model type: ${u.model_type}`);
-    }
-}
-const MODEL_MAPPING_NAMES_ENCODER_ONLY = new Map([
-        ['bert', ['BertModel', BertModel]],
-        ['nomic_bert', ['NomicBertModel', NomicBertModel]],
-        ['roformer', ['RoFormerModel', RoFormerModel]],
-        ['electra', ['ElectraModel', ElectraModel]],
-        ['esm', ['EsmModel', EsmModel]],
-        ['convbert', ['ConvBertModel', ConvBertModel]],
-        ['camembert', ['CamembertModel', CamembertModel]],
-        ['deberta', ['DebertaModel', DebertaModel]],
-        ['deberta-v2', ['DebertaV2Model', DebertaV2Model]],
-        ['mpnet', ['MPNetModel', MPNetModel]],
-        ['albert', ['AlbertModel', AlbertModel]],
-        ['distilbert', ['DistilBertModel', DistilBertModel]],
-        ['roberta', ['RobertaModel', RobertaModel]],
-        ['xlm', ['XLMModel', XLMModel]],
-        ['xlm-roberta', ['XLMRobertaModel', XLMRobertaModel]],
-        ['clap', ['ClapModel', ClapModel]],
-        ['clip', ['CLIPModel', CLIPModel]],
-        ['clipseg', ['CLIPSegModel', CLIPSegModel]],
-        ['chinese_clip', ['ChineseCLIPModel', ChineseCLIPModel]],
-        ['siglip', ['SiglipModel', SiglipModel]],
-        ['mobilebert', ['MobileBertModel', MobileBertModel]],
-        ['squeezebert', ['SqueezeBertModel', SqueezeBertModel]],
-        ['wav2vec2', ['Wav2Vec2Model', Wav2Vec2Model]],
-        ['wav2vec2-bert', ['Wav2Vec2BertModel', Wav2Vec2BertModel]],
-        ['unispeech', ['UniSpeechModel', UniSpeechModel]],
-        ['unispeech-sat', ['UniSpeechSatModel', UniSpeechSatModel]],
-        ['hubert', ['HubertModel', HubertModel]],
-        ['wavlm', ['WavLMModel', WavLMModel]],
-        ['audio-spectrogram-transformer', ['ASTModel', ASTModel]],
-        ['vits', ['VitsModel', VitsModel]],
-        ['detr', ['DetrModel', DetrModel]],
-        ['table-transformer', ['TableTransformerModel', TableTransformerModel]],
-        ['vit', ['ViTModel', ViTModel]],
-        ['mobilevit', ['MobileViTModel', MobileViTModel]],
-        ['owlvit', ['OwlViTModel', OwlViTModel]],
-        ['owlv2', ['Owlv2Model', Owlv2Model]],
-        ['beit', ['BeitModel', BeitModel]],
-        ['deit', ['DeiTModel', DeiTModel]],
-        ['convnext', ['ConvNextModel', ConvNextModel]],
-        ['convnextv2', ['ConvNextV2Model', ConvNextV2Model]],
-        ['dinov2', ['Dinov2Model', Dinov2Model]],
-        ['resnet', ['ResNetModel', ResNetModel]],
-        ['swin', ['SwinModel', SwinModel]],
-        ['swin2sr', ['Swin2SRModel', Swin2SRModel]],
-        ['donut-swin', ['DonutSwinModel', DonutSwinModel]],
-        ['yolos', ['YolosModel', YolosModel]],
-        ['dpt', ['DPTModel', DPTModel]],
-        ['glpn', ['GLPNModel', GLPNModel]],
-        ['hifigan', ['SpeechT5HifiGan', SpeechT5HifiGan]],
-    ]),
-    MODEL_MAPPING_NAMES_ENCODER_DECODER = new Map([
-        ['t5', ['T5Model', T5Model]],
-        ['longt5', ['LongT5Model', LongT5Model]],
-        ['mt5', ['MT5Model', MT5Model]],
-        ['bart', ['BartModel', BartModel]],
-        ['mbart', ['MBartModel', MBartModel]],
-        ['marian', ['MarianModel', MarianModel]],
-        ['whisper', ['WhisperModel', WhisperModel]],
-        ['m2m_100', ['M2M100Model', M2M100Model]],
-        ['blenderbot', ['BlenderbotModel', BlenderbotModel]],
-        ['blenderbot-small', ['BlenderbotSmallModel', BlenderbotSmallModel]],
-    ]),
-    MODEL_MAPPING_NAMES_DECODER_ONLY = new Map([
-        ['bloom', ['BloomModel', BloomModel]],
-        ['gpt2', ['GPT2Model', GPT2Model]],
-        ['gptj', ['GPTJModel', GPTJModel]],
-        ['gpt_bigcode', ['GPTBigCodeModel', GPTBigCodeModel]],
-        ['gpt_neo', ['GPTNeoModel', GPTNeoModel]],
-        ['gpt_neox', ['GPTNeoXModel', GPTNeoXModel]],
-        ['codegen', ['CodeGenModel', CodeGenModel]],
-        ['llama', ['LlamaModel', LlamaModel]],
-        ['qwen2', ['Qwen2Model', Qwen2Model]],
-        ['phi', ['PhiModel', PhiModel]],
-        ['mpt', ['MptModel', MptModel]],
-        ['opt', ['OPTModel', OPTModel]],
-        ['mistral', ['MistralModel', MistralModel]],
-        ['starcoder2', ['Starcoder2Model', Starcoder2Model]],
-        ['falcon', ['FalconModel', FalconModel]],
-    ]),
-    MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES = new Map([
-        ['speecht5', ['SpeechT5ForSpeechToText', SpeechT5ForSpeechToText]],
-        ['whisper', ['WhisperForConditionalGeneration', WhisperForConditionalGeneration]],
-    ]),
-    MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES = new Map([
-        ['speecht5', ['SpeechT5ForTextToSpeech', SpeechT5ForTextToSpeech]],
-    ]),
-    MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES = new Map([['vits', ['VitsModel', VitsModel]]]),
-    MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES = new Map([
-        ['bert', ['BertForSequenceClassification', BertForSequenceClassification]],
-        ['roformer', ['RoFormerForSequenceClassification', RoFormerForSequenceClassification]],
-        ['electra', ['ElectraForSequenceClassification', ElectraForSequenceClassification]],
-        ['esm', ['EsmForSequenceClassification', EsmForSequenceClassification]],
-        ['convbert', ['ConvBertForSequenceClassification', ConvBertForSequenceClassification]],
-        ['camembert', ['CamembertForSequenceClassification', CamembertForSequenceClassification]],
-        ['deberta', ['DebertaForSequenceClassification', DebertaForSequenceClassification]],
-        ['deberta-v2', ['DebertaV2ForSequenceClassification', DebertaV2ForSequenceClassification]],
-        ['mpnet', ['MPNetForSequenceClassification', MPNetForSequenceClassification]],
-        ['albert', ['AlbertForSequenceClassification', AlbertForSequenceClassification]],
-        ['distilbert', ['DistilBertForSequenceClassification', DistilBertForSequenceClassification]],
-        ['roberta', ['RobertaForSequenceClassification', RobertaForSequenceClassification]],
-        ['xlm', ['XLMForSequenceClassification', XLMForSequenceClassification]],
-        ['xlm-roberta', ['XLMRobertaForSequenceClassification', XLMRobertaForSequenceClassification]],
-        ['bart', ['BartForSequenceClassification', BartForSequenceClassification]],
-        ['mbart', ['MBartForSequenceClassification', MBartForSequenceClassification]],
-        ['mobilebert', ['MobileBertForSequenceClassification', MobileBertForSequenceClassification]],
-        ['squeezebert', ['SqueezeBertForSequenceClassification', SqueezeBertForSequenceClassification]],
-    ]),
-    MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES = new Map([
-        ['bert', ['BertForTokenClassification', BertForTokenClassification]],
-        ['roformer', ['RoFormerForTokenClassification', RoFormerForTokenClassification]],
-        ['electra', ['ElectraForTokenClassification', ElectraForTokenClassification]],
-        ['esm', ['EsmForTokenClassification', EsmForTokenClassification]],
-        ['convbert', ['ConvBertForTokenClassification', ConvBertForTokenClassification]],
-        ['camembert', ['CamembertForTokenClassification', CamembertForTokenClassification]],
-        ['deberta', ['DebertaForTokenClassification', DebertaForTokenClassification]],
-        ['deberta-v2', ['DebertaV2ForTokenClassification', DebertaV2ForTokenClassification]],
-        ['mpnet', ['MPNetForTokenClassification', MPNetForTokenClassification]],
-        ['distilbert', ['DistilBertForTokenClassification', DistilBertForTokenClassification]],
-        ['roberta', ['RobertaForTokenClassification', RobertaForTokenClassification]],
-        ['xlm', ['XLMForTokenClassification', XLMForTokenClassification]],
-        ['xlm-roberta', ['XLMRobertaForTokenClassification', XLMRobertaForTokenClassification]],
-    ]),
-    MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES = new Map([
-        ['t5', ['T5ForConditionalGeneration', T5ForConditionalGeneration]],
-        ['longt5', ['LongT5ForConditionalGeneration', LongT5ForConditionalGeneration]],
-        ['mt5', ['MT5ForConditionalGeneration', MT5ForConditionalGeneration]],
-        ['bart', ['BartForConditionalGeneration', BartForConditionalGeneration]],
-        ['mbart', ['MBartForConditionalGeneration', MBartForConditionalGeneration]],
-        ['marian', ['MarianMTModel', MarianMTModel]],
-        ['m2m_100', ['M2M100ForConditionalGeneration', M2M100ForConditionalGeneration]],
-        ['blenderbot', ['BlenderbotForConditionalGeneration', BlenderbotForConditionalGeneration]],
-        ['blenderbot-small', ['BlenderbotSmallForConditionalGeneration', BlenderbotSmallForConditionalGeneration]],
-    ]),
-    MODEL_WITH_LM_HEAD_MAPPING_NAMES = new Map([
-        ['bloom', ['BloomForCausalLM', BloomForCausalLM]],
-        ['gpt2', ['GPT2LMHeadModel', GPT2LMHeadModel]],
-        ['gptj', ['GPTJForCausalLM', GPTJForCausalLM]],
-        ['gpt_bigcode', ['GPTBigCodeForCausalLM', GPTBigCodeForCausalLM]],
-        ['gpt_neo', ['GPTNeoForCausalLM', GPTNeoForCausalLM]],
-        ['gpt_neox', ['GPTNeoXForCausalLM', GPTNeoXForCausalLM]],
-        ['codegen', ['CodeGenForCausalLM', CodeGenForCausalLM]],
-        ['llama', ['LlamaForCausalLM', LlamaForCausalLM]],
-        ['qwen2', ['Qwen2ForCausalLM', Qwen2ForCausalLM]],
-        ['phi', ['PhiForCausalLM', PhiForCausalLM]],
-        ['mpt', ['MptForCausalLM', MptForCausalLM]],
-        ['opt', ['OPTForCausalLM', OPTForCausalLM]],
-        ['mbart', ['MBartForCausalLM', MBartForCausalLM]],
-        ['mistral', ['MistralForCausalLM', MistralForCausalLM]],
-        ['starcoder2', ['Starcoder2ForCausalLM', Starcoder2ForCausalLM]],
-        ['falcon', ['FalconForCausalLM', FalconForCausalLM]],
-        ['trocr', ['TrOCRForCausalLM', TrOCRForCausalLM]],
-        ['stablelm', ['StableLmForCausalLM', StableLmForCausalLM]],
-    ]),
-    MODEL_FOR_MASKED_LM_MAPPING_NAMES = new Map([
-        ['bert', ['BertForMaskedLM', BertForMaskedLM]],
-        ['roformer', ['RoFormerForMaskedLM', RoFormerForMaskedLM]],
-        ['electra', ['ElectraForMaskedLM', ElectraForMaskedLM]],
-        ['esm', ['EsmForMaskedLM', EsmForMaskedLM]],
-        ['convbert', ['ConvBertForMaskedLM', ConvBertForMaskedLM]],
-        ['camembert', ['CamembertForMaskedLM', CamembertForMaskedLM]],
-        ['deberta', ['DebertaForMaskedLM', DebertaForMaskedLM]],
-        ['deberta-v2', ['DebertaV2ForMaskedLM', DebertaV2ForMaskedLM]],
-        ['mpnet', ['MPNetForMaskedLM', MPNetForMaskedLM]],
-        ['albert', ['AlbertForMaskedLM', AlbertForMaskedLM]],
-        ['distilbert', ['DistilBertForMaskedLM', DistilBertForMaskedLM]],
-        ['roberta', ['RobertaForMaskedLM', RobertaForMaskedLM]],
-        ['xlm', ['XLMWithLMHeadModel', XLMWithLMHeadModel]],
-        ['xlm-roberta', ['XLMRobertaForMaskedLM', XLMRobertaForMaskedLM]],
-        ['mobilebert', ['MobileBertForMaskedLM', MobileBertForMaskedLM]],
-        ['squeezebert', ['SqueezeBertForMaskedLM', SqueezeBertForMaskedLM]],
-    ]),
-    MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES = new Map([
-        ['bert', ['BertForQuestionAnswering', BertForQuestionAnswering]],
-        ['roformer', ['RoFormerForQuestionAnswering', RoFormerForQuestionAnswering]],
-        ['electra', ['ElectraForQuestionAnswering', ElectraForQuestionAnswering]],
-        ['convbert', ['ConvBertForQuestionAnswering', ConvBertForQuestionAnswering]],
-        ['camembert', ['CamembertForQuestionAnswering', CamembertForQuestionAnswering]],
-        ['deberta', ['DebertaForQuestionAnswering', DebertaForQuestionAnswering]],
-        ['deberta-v2', ['DebertaV2ForQuestionAnswering', DebertaV2ForQuestionAnswering]],
-        ['mpnet', ['MPNetForQuestionAnswering', MPNetForQuestionAnswering]],
-        ['albert', ['AlbertForQuestionAnswering', AlbertForQuestionAnswering]],
-        ['distilbert', ['DistilBertForQuestionAnswering', DistilBertForQuestionAnswering]],
-        ['roberta', ['RobertaForQuestionAnswering', RobertaForQuestionAnswering]],
-        ['xlm', ['XLMForQuestionAnswering', XLMForQuestionAnswering]],
-        ['xlm-roberta', ['XLMRobertaForQuestionAnswering', XLMRobertaForQuestionAnswering]],
-        ['mobilebert', ['MobileBertForQuestionAnswering', MobileBertForQuestionAnswering]],
-        ['squeezebert', ['SqueezeBertForQuestionAnswering', SqueezeBertForQuestionAnswering]],
-    ]),
-    MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES = new Map([
-        ['vision-encoder-decoder', ['VisionEncoderDecoderModel', VisionEncoderDecoderModel]],
-    ]),
-    MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES = new Map([
-        ['vit', ['ViTForImageClassification', ViTForImageClassification]],
-        ['mobilevit', ['MobileViTForImageClassification', MobileViTForImageClassification]],
-        ['beit', ['BeitForImageClassification', BeitForImageClassification]],
-        ['deit', ['DeiTForImageClassification', DeiTForImageClassification]],
-        ['convnext', ['ConvNextForImageClassification', ConvNextForImageClassification]],
-        ['convnextv2', ['ConvNextV2ForImageClassification', ConvNextV2ForImageClassification]],
-        ['dinov2', ['Dinov2ForImageClassification', Dinov2ForImageClassification]],
-        ['resnet', ['ResNetForImageClassification', ResNetForImageClassification]],
-        ['swin', ['SwinForImageClassification', SwinForImageClassification]],
-        ['segformer', ['SegformerForImageClassification', SegformerForImageClassification]],
-    ]),
-    MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES = new Map([
-        ['detr', ['DetrForObjectDetection', DetrForObjectDetection]],
-        ['table-transformer', ['TableTransformerForObjectDetection', TableTransformerForObjectDetection]],
-        ['yolos', ['YolosForObjectDetection', YolosForObjectDetection]],
-    ]),
-    MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES = new Map([
-        ['owlvit', ['OwlViTForObjectDetection', OwlViTForObjectDetection]],
-        ['owlv2', ['Owlv2ForObjectDetection', Owlv2ForObjectDetection]],
-    ]),
-    MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES = new Map([
-        ['detr', ['DetrForSegmentation', DetrForSegmentation]],
-        ['clipseg', ['CLIPSegForImageSegmentation', CLIPSegForImageSegmentation]],
-    ]),
-    MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES = new Map([
-        ['segformer', ['SegformerForSemanticSegmentation', SegformerForSemanticSegmentation]],
-    ]),
-    MODEL_FOR_MASK_GENERATION_MAPPING_NAMES = new Map([['sam', ['SamModel', SamModel]]]),
-    MODEL_FOR_CTC_MAPPING_NAMES = new Map([
-        ['wav2vec2', ['Wav2Vec2ForCTC', Wav2Vec2ForCTC]],
-        ['wav2vec2-bert', ['Wav2Vec2BertForCTC', Wav2Vec2BertForCTC]],
-        ['unispeech', ['UniSpeechForCTC', UniSpeechForCTC]],
-        ['unispeech-sat', ['UniSpeechSatForCTC', UniSpeechSatForCTC]],
-        ['wavlm', ['WavLMForCTC', WavLMForCTC]],
-        ['hubert', ['HubertForCTC', HubertForCTC]],
-    ]),
-    MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES = new Map([
-        ['wav2vec2', ['Wav2Vec2ForSequenceClassification', Wav2Vec2ForSequenceClassification]],
-        ['wav2vec2-bert', ['Wav2Vec2BertForSequenceClassification', Wav2Vec2BertForSequenceClassification]],
-        ['unispeech', ['UniSpeechForSequenceClassification', UniSpeechForSequenceClassification]],
-        ['unispeech-sat', ['UniSpeechSatForSequenceClassification', UniSpeechSatForSequenceClassification]],
-        ['wavlm', ['WavLMForSequenceClassification', WavLMForSequenceClassification]],
-        ['hubert', ['HubertForSequenceClassification', HubertForSequenceClassification]],
-        ['audio-spectrogram-transformer', ['ASTForAudioClassification', ASTForAudioClassification]],
-    ]),
-    MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES = new Map([['wavlm', ['WavLMForXVector', WavLMForXVector]]]),
-    MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES = new Map([
-        ['unispeech-sat', ['UniSpeechSatForAudioFrameClassification', UniSpeechSatForAudioFrameClassification]],
-        ['wavlm', ['WavLMForAudioFrameClassification', WavLMForAudioFrameClassification]],
-        ['wav2vec2', ['Wav2Vec2ForAudioFrameClassification', Wav2Vec2ForAudioFrameClassification]],
-    ]),
-    MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES = new Map([
-        ['vitmatte', ['VitMatteForImageMatting', VitMatteForImageMatting]],
-    ]),
-    MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES = new Map([
-        ['swin2sr', ['Swin2SRForImageSuperResolution', Swin2SRForImageSuperResolution]],
-    ]),
-    MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES = new Map([
-        ['dpt', ['DPTForDepthEstimation', DPTForDepthEstimation]],
-        ['depth_anything', ['DepthAnythingForDepthEstimation', DepthAnythingForDepthEstimation]],
-        ['glpn', ['GLPNForDepthEstimation', GLPNForDepthEstimation]],
-    ]),
-    MODEL_CLASS_TYPE_MAPPING = [
-        [MODEL_MAPPING_NAMES_ENCODER_ONLY, MODEL_TYPES.EncoderOnly],
-        [MODEL_MAPPING_NAMES_ENCODER_DECODER, MODEL_TYPES.EncoderDecoder],
-        [MODEL_MAPPING_NAMES_DECODER_ONLY, MODEL_TYPES.DecoderOnly],
-        [MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
-        [MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
-        [MODEL_WITH_LM_HEAD_MAPPING_NAMES, MODEL_TYPES.DecoderOnly],
-        [MODEL_FOR_MASKED_LM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES, MODEL_TYPES.Vision2Seq],
-        [MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_IMAGE_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_IMAGE_MATTING_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_IMAGE_TO_IMAGE_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_DEPTH_ESTIMATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_ZERO_SHOT_OBJECT_DETECTION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_MASK_GENERATION_MAPPING_NAMES, MODEL_TYPES.MaskGeneration],
-        [MODEL_FOR_CTC_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_TEXT_TO_SPECTROGRAM_MAPPING_NAMES, MODEL_TYPES.Seq2Seq],
-        [MODEL_FOR_TEXT_TO_WAVEFORM_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_AUDIO_XVECTOR_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-        [MODEL_FOR_AUDIO_FRAME_CLASSIFICATION_MAPPING_NAMES, MODEL_TYPES.EncoderOnly],
-    ];
-for (const [t, e] of MODEL_CLASS_TYPE_MAPPING)
-    for (const [o, i] of t.values())
-        MODEL_TYPE_MAPPING.set(o, e), MODEL_CLASS_TO_NAME_MAPPING.set(i, o), MODEL_NAME_TO_CLASS_MAPPING.set(o, i);
-const CUSTOM_MAPPING = [
-    ['CLIPTextModelWithProjection', CLIPTextModelWithProjection, MODEL_TYPES.EncoderOnly],
-    ['CLIPVisionModelWithProjection', CLIPVisionModelWithProjection, MODEL_TYPES.EncoderOnly],
-    ['SiglipTextModel', SiglipTextModel, MODEL_TYPES.EncoderOnly],
-    ['SiglipVisionModel', SiglipVisionModel, MODEL_TYPES.EncoderOnly],
-    ['ClapTextModelWithProjection', ClapTextModelWithProjection, MODEL_TYPES.EncoderOnly],
-    ['ClapAudioModelWithProjection', ClapAudioModelWithProjection, MODEL_TYPES.EncoderOnly],
-];
-for (const [t, e, o] of CUSTOM_MAPPING)
-    MODEL_TYPE_MAPPING.set(t, o), MODEL_CLASS_TO_NAME_MAPPING.set(e, t), MODEL_NAME_TO_CLASS_MAPPING.set(t, e);
-class AutoModel extends PretrainedMixin {
-    static MODEL_CLASS_MAPPINGS = MODEL_CLASS_TYPE_MAPPING.map((e) => e[0]);
-    static BASE_IF_FAIL = !0;
-}
-class Seq2SeqLMOutput extends ModelOutput {
-    constructor({
-        logits: e,
-        past_key_values: o,
-        encoder_outputs: i,
-        decoder_attentions: u = null,
-        cross_attentions: n = null,
-    }) {
-        super(),
-            (this.logits = e),
-            (this.past_key_values = o),
-            (this.encoder_outputs = i),
-            (this.decoder_attentions = u),
-            (this.cross_attentions = n);
-    }
-}
-class SequenceClassifierOutput extends ModelOutput {
-    constructor({ logits: e }) {
-        super(), (this.logits = e);
-    }
-}
-class XVectorOutput extends ModelOutput {
-    constructor({ logits: e, embeddings: o }) {
-        super(), (this.logits = e), (this.embeddings = o);
-    }
-}
-class TokenClassifierOutput extends ModelOutput {
-    constructor({ logits: e }) {
-        super(), (this.logits = e);
-    }
-}
-class MaskedLMOutput extends ModelOutput {
-    constructor({ logits: e }) {
-        super(), (this.logits = e);
-    }
-}
-class QuestionAnsweringModelOutput extends ModelOutput {
-    constructor({ start_logits: e, end_logits: o }) {
-        super(), (this.start_logits = e), (this.end_logits = o);
-    }
-}
-class CausalLMOutput extends ModelOutput {
-    constructor({ logits: e }) {
-        super(), (this.logits = e);
-    }
-}
-class ImageMattingOutput extends ModelOutput {
-    constructor({ alphas: e }) {
-        super(), (this.alphas = e);
-    }
-}
-class VitsModelOutput extends ModelOutput {
-    constructor({ waveform: e, spectrogram: o }) {
-        super(), (this.waveform = e), (this.spectrogram = o);
-    }
-}
-const BROWSER_ENV = typeof self < 'u',
-    WEBWORKER_ENV = BROWSER_ENV && self.constructor.name === 'DedicatedWorkerGlobalScope';
-let createCanvasFunction, ImageDataClass, loadImageFunction;
-if (BROWSER_ENV)
-    (createCanvasFunction = (t, e) => {
-        if (!self.OffscreenCanvas) throw new Error('OffscreenCanvas not supported by this browser.');
-        return new self.OffscreenCanvas(t, e);
-    }),
-        (loadImageFunction = self.createImageBitmap),
-        (ImageDataClass = self.ImageData);
-else if (sharp)
-    loadImageFunction = async (t) => {
-        const o = (await t.metadata()).channels,
-            { data: i, info: u } = await t.raw().toBuffer({ resolveWithObject: !0 }),
-            n = new RawImage(new Uint8ClampedArray(i), u.width, u.height, u.channels);
-        return o !== void 0 && o !== u.channels && n.convert(o), n;
-    };
-else throw new Error('Unable to load image processing library.');
-const RESAMPLING_MAPPING = { 0: 'nearest', 1: 'lanczos', 2: 'bilinear', 3: 'bicubic', 4: 'box', 5: 'hamming' },
-    CONTENT_TYPE_MAP = new Map([
-        ['png', 'image/png'],
-        ['jpg', 'image/jpeg'],
-        ['jpeg', 'image/jpeg'],
-        ['gif', 'image/gif'],
-    ]);
-class RawImage {
-    constructor(e, o, i, u) {
-        (this.data = e), (this.width = o), (this.height = i), (this.channels = u);
-    }
-    get size() {
-        return [this.width, this.height];
-    }
-    static async read(e) {
-        if (e instanceof RawImage) return e;
-        if (typeof e == 'string' || e instanceof URL) return await this.fromURL(e);
-        throw new Error(`Unsupported input type: ${typeof e}`);
-    }
-    static async fromURL(e) {
-        const o = await getFile(e);
-        if (o.status !== 200) throw new Error(`Unable to read image from "${e}" (${o.status} ${o.statusText})`);
-        const i = await o.blob();
-        return this.fromBlob(i);
-    }
-    static async fromBlob(e) {
-        if (BROWSER_ENV) {
-            const o = await loadImageFunction(e),
-                i = createCanvasFunction(o.width, o.height).getContext('2d');
-            return i.drawImage(o, 0, 0), new this(i.getImageData(0, 0, o.width, o.height).data, o.width, o.height, 4);
-        } else {
-            const o = sharp(await e.arrayBuffer());
-            return await loadImageFunction(o);
-        }
-    }
-    static fromTensor(e, o = 'CHW') {
-        if (e.dims.length !== 3)
-            throw new Error(`Tensor should have 3 dimensions, but has ${e.dims.length} dimensions.`);
-        if (o === 'CHW') e = e.transpose(1, 2, 0);
-        else if (o !== 'HWC') throw new Error(`Unsupported channel format: ${o}`);
-        if (!(e.data instanceof Uint8ClampedArray || e.data instanceof Uint8Array))
-            throw new Error(`Unsupported tensor type: ${e.type}`);
-        switch (e.dims[2]) {
-            case 1:
-            case 2:
-            case 3:
-            case 4:
-                return new RawImage(e.data, e.dims[1], e.dims[0], e.dims[2]);
-            default:
-                throw new Error(`Unsupported number of channels: ${e.dims[2]}`);
-        }
-    }
-    grayscale() {
-        if (this.channels === 1) return this;
-        const e = new Uint8ClampedArray(this.width * this.height * 1);
-        switch (this.channels) {
-            case 3:
-            case 4:
-                for (let o = 0, i = 0; o < this.data.length; o += this.channels) {
-                    const u = this.data[o],
-                        n = this.data[o + 1],
-                        s = this.data[o + 2];
-                    e[i++] = Math.round(0.2989 * u + 0.587 * n + 0.114 * s);
-                }
-                break;
-            default:
-                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
-        }
-        return this._update(e, this.width, this.height, 1);
-    }
-    rgb() {
-        if (this.channels === 3) return this;
-        const e = new Uint8ClampedArray(this.width * this.height * 3);
-        switch (this.channels) {
-            case 1:
-                for (let o = 0, i = 0; o < this.data.length; ++o)
-                    (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = this.data[o]);
-                break;
-            case 4:
-                for (let o = 0, i = 0; o < this.data.length; o += 4)
-                    (e[i++] = this.data[o]), (e[i++] = this.data[o + 1]), (e[i++] = this.data[o + 2]);
-                break;
-            default:
-                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
-        }
-        return this._update(e, this.width, this.height, 3);
-    }
-    rgba() {
-        if (this.channels === 4) return this;
-        const e = new Uint8ClampedArray(this.width * this.height * 4);
-        switch (this.channels) {
-            case 1:
-                for (let o = 0, i = 0; o < this.data.length; ++o)
-                    (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = this.data[o]), (e[i++] = 255);
-                break;
-            case 3:
-                for (let o = 0, i = 0; o < this.data.length; o += 3)
-                    (e[i++] = this.data[o]), (e[i++] = this.data[o + 1]), (e[i++] = this.data[o + 2]), (e[i++] = 255);
-                break;
-            default:
-                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
-        }
-        return this._update(e, this.width, this.height, 4);
-    }
-    async resize(e, o, { resample: i = 2 } = {}) {
-        let u = RESAMPLING_MAPPING[i] ?? i;
-        if (BROWSER_ENV) {
-            const n = this.channels,
-                s = this.toCanvas(),
-                d = createCanvasFunction(e, o).getContext('2d');
-            return d.drawImage(s, 0, 0, e, o), new RawImage(d.getImageData(0, 0, e, o).data, e, o, 4).convert(n);
-        } else {
-            let n = this.toSharp();
-            switch (u) {
-                case 'box':
-                case 'hamming':
-                    (u === 'box' || u === 'hamming') &&
-                        (console.warn(`Resampling method ${u} is not yet supported. Using bilinear instead.`),
-                        (u = 'bilinear'));
-                case 'nearest':
-                case 'bilinear':
-                case 'bicubic':
-                    n = n.affine([e / this.width, 0, 0, o / this.height], { interpolator: u });
-                    break;
-                case 'lanczos':
-                    n = n.resize({ width: e, height: o, fit: 'fill', kernel: 'lanczos3' });
-                    break;
-                default:
-                    throw new Error(`Resampling method ${u} is not supported.`);
-            }
-            return await loadImageFunction(n);
-        }
-    }
-    async pad([e, o, i, u]) {
-        if (
-            ((e = Math.max(e, 0)),
-            (o = Math.max(o, 0)),
-            (i = Math.max(i, 0)),
-            (u = Math.max(u, 0)),
-            e === 0 && o === 0 && i === 0 && u === 0)
-        )
-            return this;
-        if (BROWSER_ENV) {
-            const n = this.channels,
-                s = this.toCanvas(),
-                d = this.width + e + o,
-                f = this.height + i + u,
-                r = createCanvasFunction(d, f).getContext('2d');
-            return (
-                r.drawImage(s, 0, 0, this.width, this.height, e, i, d, f),
-                new RawImage(r.getImageData(0, 0, d, f).data, d, f, 4).convert(n)
-            );
-        } else {
-            const n = this.toSharp().extend({ left: e, right: o, top: i, bottom: u });
-            return await loadImageFunction(n);
-        }
-    }
-    async crop([e, o, i, u]) {
-        if (
-            ((e = Math.max(e, 0)),
-            (o = Math.max(o, 0)),
-            (i = Math.min(i, this.width - 1)),
-            (u = Math.min(u, this.height - 1)),
-            e === 0 && o === 0 && i === this.width - 1 && u === this.height - 1)
-        )
-            return this;
-        const n = i - e + 1,
-            s = u - o + 1;
-        if (BROWSER_ENV) {
-            const d = this.channels,
-                f = this.toCanvas(),
-                r = createCanvasFunction(n, s).getContext('2d');
-            return (
-                r.drawImage(f, e, o, n, s, 0, 0, n, s),
-                new RawImage(r.getImageData(0, 0, n, s).data, n, s, 4).convert(d)
-            );
-        } else {
-            const d = this.toSharp().extract({ left: e, top: o, width: n, height: s });
-            return await loadImageFunction(d);
-        }
-    }
-    async center_crop(e, o) {
-        if (this.width === e && this.height === o) return this;
-        const i = (this.width - e) / 2,
-            u = (this.height - o) / 2;
-        if (BROWSER_ENV) {
-            const n = this.channels,
-                s = this.toCanvas(),
-                d = createCanvasFunction(e, o).getContext('2d');
-            let f = 0,
-                r = 0,
-                a = 0,
-                l = 0;
-            return (
-                i >= 0 ? (f = i) : (a = -i),
-                u >= 0 ? (r = u) : (l = -u),
-                d.drawImage(s, f, r, e, o, a, l, e, o),
-                new RawImage(d.getImageData(0, 0, e, o).data, e, o, 4).convert(n)
-            );
-        } else {
-            let n = this.toSharp();
-            if (i >= 0 && u >= 0) n = n.extract({ left: Math.floor(i), top: Math.floor(u), width: e, height: o });
-            else if (i <= 0 && u <= 0) {
-                const s = Math.floor(-u),
-                    d = Math.floor(-i);
-                n = n.extend({ top: s, left: d, right: e - this.width - d, bottom: o - this.height - s });
-            } else {
-                let s = [0, 0],
-                    d = 0;
-                u < 0 ? ((s[0] = Math.floor(-u)), (s[1] = o - this.height - s[0])) : (d = Math.floor(u));
-                let f = [0, 0],
-                    r = 0;
-                i < 0 ? ((f[0] = Math.floor(-i)), (f[1] = e - this.width - f[0])) : (r = Math.floor(i)),
-                    (n = n
-                        .extend({ top: s[0], bottom: s[1], left: f[0], right: f[1] })
-                        .extract({ left: r, top: d, width: e, height: o }));
-            }
-            return await loadImageFunction(n);
-        }
-    }
-    async toBlob(e = 'image/png', o = 1) {
-        if (!BROWSER_ENV) throw new Error('toBlob() is only supported in browser environments.');
-        return await this.toCanvas().convertToBlob({ type: e, quality: o });
-    }
-    toCanvas() {
-        if (!BROWSER_ENV) throw new Error('toCanvas() is only supported in browser environments.');
-        const e = this.clone().rgba(),
-            o = createCanvasFunction(e.width, e.height),
-            i = new ImageDataClass(e.data, e.width, e.height);
-        return o.getContext('2d').putImageData(i, 0, 0), o;
-    }
-    _update(e, o, i, u = null) {
-        return (this.data = e), (this.width = o), (this.height = i), u !== null && (this.channels = u), this;
-    }
-    clone() {
-        return new RawImage(this.data.slice(), this.width, this.height, this.channels);
-    }
-    convert(e) {
-        if (this.channels === e) return this;
-        switch (e) {
-            case 1:
-                this.grayscale();
-                break;
-            case 3:
-                this.rgb();
-                break;
-            case 4:
-                this.rgba();
-                break;
-            default:
-                throw new Error(`Conversion failed due to unsupported number of channels: ${this.channels}`);
-        }
-        return this;
-    }
-    async save(e) {
-        if (BROWSER_ENV) {
-            if (WEBWORKER_ENV) throw new Error('Unable to save an image from a Web Worker.');
-            const o = e.split('.').pop().toLowerCase(),
-                i = CONTENT_TYPE_MAP.get(o) ?? 'image/png',
-                u = await this.toBlob(i),
-                n = URL.createObjectURL(u),
-                s = document.createElement('a');
-            (s.href = n), (s.download = e), s.click(), s.remove();
-        } else {
-            if (env.useFS) return await this.toSharp().toFile(e);
-            throw new Error('Unable to save the image because filesystem is disabled in this environment.');
-        }
-    }
-    toSharp() {
-        if (BROWSER_ENV) throw new Error('toSharp() is only supported in server-side environments.');
-        return sharp(this.data, { raw: { width: this.width, height: this.height, channels: this.channels } });
-    }
-}
-function hanning(t) {
-    if (t < 1) return new Float64Array();
-    if (t === 1) return new Float64Array([1]);
-    const e = t - 1,
-        o = Math.PI / e,
-        i = new Float64Array(t);
-    for (let u = 0; u < t; ++u) {
-        const n = 2 * u - e;
-        i[u] = 0.5 + 0.5 * Math.cos(o * n);
-    }
-    return i;
-}
-const HERTZ_TO_MEL_MAPPING = {
-    htk: (t) => 2595 * Math.log10(1 + t / 700),
-    kaldi: (t) => 1127 * Math.log(1 + t / 700),
-    slaney: (t, e = 1e3, o = 15, i = 27 / Math.log(6.4)) => (t >= e ? o + Math.log(t / e) * i : (3 * t) / 200),
-};
-function hertz_to_mel(t, e = 'htk') {
-    const o = HERTZ_TO_MEL_MAPPING[e];
-    if (!o) throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');
-    return typeof t == 'number' ? o(t) : t.map((i) => o(i));
-}
-const MEL_TO_HERTZ_MAPPING = {
-    htk: (t) => 700 * (10 ** (t / 2595) - 1),
-    kaldi: (t) => 700 * (Math.exp(t / 1127) - 1),
-    slaney: (t, e = 1e3, o = 15, i = Math.log(6.4) / 27) => (t >= o ? e * Math.exp(i * (t - o)) : (200 * t) / 3),
-};
-function mel_to_hertz(t, e = 'htk') {
-    const o = MEL_TO_HERTZ_MAPPING[e];
-    if (!o) throw new Error('mel_scale should be one of "htk", "slaney" or "kaldi".');
-    return typeof t == 'number' ? o(t) : t.map((i) => o(i));
-}
-function _create_triangular_filter_bank(t, e) {
-    const o = Float64Array.from({ length: e.length - 1 }, (s, d) => e[d + 1] - e[d]),
-        i = Array.from({ length: t.length }, () => new Array(e.length));
-    for (let s = 0; s < t.length; ++s) {
-        const d = i[s];
-        for (let f = 0; f < e.length; ++f) d[f] = e[f] - t[s];
-    }
-    const u = e.length - 2,
-        n = Array.from({ length: u }, () => new Array(t.length));
-    for (let s = 0; s < t.length; ++s) {
-        const d = i[s];
-        for (let f = 0; f < u; ++f) {
-            const r = -d[f] / o[f],
-                a = d[f + 2] / o[f + 1];
-            n[f][s] = Math.max(0, Math.min(r, a));
-        }
-    }
-    return n;
-}
-function linspace(t, e, o) {
-    const i = (e - t) / (o - 1);
-    return Float64Array.from({ length: o }, (u, n) => t + i * n);
-}
-function mel_filter_bank(t, e, o, i, u, n = null, s = 'htk', d = !1) {
-    if (n !== null && n !== 'slaney') throw new Error('norm must be one of null or "slaney"');
-    const f = hertz_to_mel(o, s),
-        r = hertz_to_mel(i, s),
-        a = linspace(f, r, e + 2);
-    let l = mel_to_hertz(a, s),
-        p;
-    if (d) {
-        const y = u / (t * 2);
-        (p = hertz_to_mel(
-            Float64Array.from({ length: t }, (T, v) => v * y),
-            s
-        )),
-            (l = a);
-    } else p = linspace(0, Math.floor(u / 2), t);
-    const m = _create_triangular_filter_bank(p, l);
-    if (n !== null && n === 'slaney')
-        for (let y = 0; y < e; ++y) {
-            const T = m[y],
-                v = 2 / (l[y + 2] - l[y]);
-            for (let S = 0; S < t; ++S) T[S] *= v;
-        }
-    return m;
-}
-function padReflect(t, e, o) {
-    const i = new t.constructor(t.length + e + o),
-        u = t.length - 1;
-    for (let n = 0; n < t.length; ++n) i[e + n] = t[n];
-    for (let n = 1; n <= e; ++n) i[e - n] = t[calculateReflectOffset(n, u)];
-    for (let n = 1; n <= o; ++n) i[u + e + n] = t[calculateReflectOffset(u - n, u)];
-    return i;
-}
-function _db_conversion_helper(t, e, o, i, u) {
-    if (o <= 0) throw new Error('reference must be greater than zero');
-    if (i <= 0) throw new Error('min_value must be greater than zero');
-    o = Math.max(i, o);
-    const n = Math.log10(o);
-    for (let s = 0; s < t.length; ++s) t[s] = e * Math.log10(Math.max(i, t[s]) - n);
-    if (u !== null) {
-        if (u <= 0) throw new Error('db_range must be greater than zero');
-        const s = max(t)[0] - u;
-        for (let d = 0; d < t.length; ++d) t[d] = Math.max(t[d], s);
-    }
-    return t;
-}
-function amplitude_to_db(t, e = 1, o = 1e-5, i = null) {
-    return _db_conversion_helper(t, 20, e, o, i);
-}
-function power_to_db(t, e = 1, o = 1e-10, i = null) {
-    return _db_conversion_helper(t, 10, e, o, i);
-}
-function spectrogram(
-    t,
-    e,
-    o,
-    i,
-    {
-        fft_length: u = null,
-        power: n = 1,
-        center: s = !0,
-        pad_mode: d = 'reflect',
-        onesided: f = !0,
-        preemphasis: r = null,
-        mel_filters: a = null,
-        mel_floor: l = 1e-10,
-        log_mel: p = null,
-        reference: m = 1,
-        min_value: y = 1e-10,
-        db_range: T = null,
-        remove_dc_offset: v = null,
-        max_num_frames: S = null,
-        do_pad: E = !0,
-        transpose: A = !1,
-    } = {}
-) {
-    const F = e.length;
-    if ((u === null && (u = o), o > u)) throw Error(`frame_length (${o}) may not be larger than fft_length (${u})`);
-    if (F !== o) throw new Error(`Length of the window (${F}) must equal frame_length (${o})`);
-    if (i <= 0) throw new Error('hop_length must be greater than zero');
-    if (s) {
-        if (d !== 'reflect') throw new Error(`pad_mode="${d}" not implemented yet.`);
-        const he = Math.floor((u - 1) / 2) + 1;
-        t = padReflect(t, he, he);
-    }
-    const B = Math.floor(1 + Math.floor((t.length - o) / i)),
-        J = f ? Math.floor(u / 2) + 1 : u;
-    let Q = B,
-        re = B;
-    S !== null && (S > B ? E && (re = S) : (re = Q = S));
-    const V = new FFT(u),
-        de = new Float64Array(u),
-        ke = new Float64Array(V.outputBufferSize),
-        Ne = new Array(Q);
-    for (let he = 0; he < Q; ++he) {
-        const ue = he * i;
-        for (let X = 0; X < o; ++X) de[X] = t[ue + X];
-        if (v) {
-            let X = 0;
-            for (let we = 0; we < o; ++we) X += de[we];
-            const ve = X / o;
-            for (let we = 0; we < o; ++we) de[we] -= ve;
-        }
-        if (r !== null) {
-            for (let X = o - 1; X >= 1; --X) de[X] -= r * de[X - 1];
-            de[0] *= 1 - r;
-        }
-        for (let X = 0; X < e.length; ++X) de[X] *= e[X];
-        V.realTransform(ke, de);
-        const pe = new Array(J);
-        for (let X = 0; X < pe.length; ++X) {
-            const ve = X << 1;
-            pe[X] = ke[ve] ** 2 + ke[ve + 1] ** 2;
-        }
-        Ne[he] = pe;
-    }
-    if (n !== null && n !== 2) {
-        const he = 2 / n;
-        for (let ue = 0; ue < Ne.length; ++ue) {
-            const pe = Ne[ue];
-            for (let X = 0; X < pe.length; ++X) pe[X] **= he;
-        }
-    }
-    const Me = a.length,
-        Y = new Float32Array(Me * re),
-        _e = A ? [re, Me] : [Me, re];
-    for (let he = 0; he < Me; ++he) {
-        const ue = a[he];
-        for (let pe = 0; pe < Q; ++pe) {
-            const X = Ne[pe];
-            let ve = 0;
-            for (let we = 0; we < J; ++we) ve += ue[we] * X[we];
-            Y[A ? pe * Me + he : he * Q + pe] = Math.max(l, ve);
-        }
-    }
-    if (n !== null && p !== null) {
-        const he = Math.min(Y.length, Q * Me);
-        switch (p) {
-            case 'log':
-                for (let ue = 0; ue < he; ++ue) Y[ue] = Math.log(Y[ue]);
-                break;
-            case 'log10':
-                for (let ue = 0; ue < he; ++ue) Y[ue] = Math.log10(Y[ue]);
-                break;
-            case 'dB':
-                if (n === 1) amplitude_to_db(Y, m, y, T);
-                else if (n === 2) power_to_db(Y, m, y, T);
-                else throw new Error(`Cannot use log_mel option '${p}' with power ${n}`);
-                break;
-            default:
-                throw new Error(`log_mel must be one of null, 'log', 'log10' or 'dB'. Got '${p}'`);
-        }
-    }
-    return { data: Y, dims: _e };
-}
-function window_function(t, e, { periodic: o = !0, frame_length: i = null, center: u = !0 } = {}) {
-    const n = o ? t + 1 : t;
-    let s;
-    switch (e) {
-        case 'boxcar':
-            s = new Float64Array(n).fill(1);
-            break;
-        case 'hann':
-        case 'hann_window':
-            s = hanning(n);
-            break;
-        case 'povey':
-            s = hanning(n).map((d) => Math.pow(d, 0.85));
-            break;
-        default:
-            throw new Error(`Unknown window type ${e}.`);
-    }
-    if ((o && (s = s.subarray(0, t)), i === null)) return s;
-    if (t > i) throw new Error(`Length of the window (${t}) may not be larger than frame_length (${i})`);
-    return s;
-}
-function center_to_corners_format([t, e, o, i]) {
-    return [t - o / 2, e - i / 2, t + o / 2, e + i / 2];
-}
-function post_process_object_detection(t, e = 0.5, o = null, i = !1) {
-    const u = t.logits,
-        n = t.pred_boxes,
-        [s, d, f] = u.dims;
-    if (o !== null && o.length !== s)
-        throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
-    let r = [];
-    for (let a = 0; a < s; ++a) {
-        let l = o !== null ? o[a] : null,
-            p = { boxes: [], classes: [], scores: [] },
-            m = u[a],
-            y = n[a];
-        for (let T = 0; T < d; ++T) {
-            let v = m[T],
-                S = [],
-                E;
-            if (i) {
-                E = v.sigmoid().data;
-                for (let A = 0; A < E.length; ++A) E[A] > e && S.push(A);
-            } else {
-                let A = max(v.data)[1];
-                if (A === f - 1) continue;
-                S.push(A), (E = softmax(v.data));
-            }
-            for (const A of S) {
-                let F = y[T].data;
-                (F = center_to_corners_format(F)),
-                    l !== null && (F = F.map((B, J) => B * l[(J + 1) % 2])),
-                    p.boxes.push(F),
-                    p.classes.push(A),
-                    p.scores.push(E[A]);
-            }
-        }
-        r.push(p);
-    }
-    return r;
-}
-function validate_audio_inputs(t, e) {
-    if (!(t instanceof Float32Array || t instanceof Float64Array))
-        throw new Error(
-            `${e} expects input to be a Float32Array or a Float64Array, but got ${
-                t?.constructor?.name ?? typeof t
-            } instead. If using the feature extractor directly, remember to use \`read_audio(url, sampling_rate)\` to obtain the raw audio data of the file/url.`
-        );
-}
-function constraint_to_multiple_of(t, e, o = 0, i = null) {
-    let u = Math.round(t / e) * e;
-    return i !== null && u > i && (u = Math.floor(t / e) * e), u < o && (u = Math.ceil(t / e) * e), u;
-}
-function enforce_size_divisibility([t, e], o) {
-    return [Math.floor(t / o) * o, Math.floor(e / o) * o];
-}
-class FeatureExtractor extends Callable {
-    constructor(e) {
-        super(), (this.config = e);
-    }
-}
-class ImageFeatureExtractor extends FeatureExtractor {
-    constructor(e) {
-        super(e),
-            (this.image_mean = this.config.image_mean ?? this.config.mean),
-            (this.image_std = this.config.image_std ?? this.config.std),
-            (this.resample = this.config.resample ?? 2),
-            (this.do_rescale = this.config.do_rescale ?? !0),
-            (this.rescale_factor = this.config.rescale_factor ?? 1 / 255),
-            (this.do_normalize = this.config.do_normalize),
-            (this.do_resize = this.config.do_resize),
-            (this.do_thumbnail = this.config.do_thumbnail),
-            (this.size = this.config.size),
-            (this.size_divisibility = this.config.size_divisibility ?? this.config.size_divisor),
-            (this.do_center_crop = this.config.do_center_crop),
-            (this.crop_size = this.config.crop_size),
-            (this.do_convert_rgb = this.config.do_convert_rgb ?? !0),
-            (this.do_crop_margin = this.config.do_crop_margin),
-            (this.pad_size = this.config.pad_size),
-            (this.do_pad = this.config.do_pad),
-            this.do_pad &&
-                !this.pad_size &&
-                this.size &&
-                this.size.width !== void 0 &&
-                this.size.height !== void 0 &&
-                (this.pad_size = this.size);
-    }
-    async thumbnail(e, o, i = 2) {
-        const u = e.height,
-            n = e.width,
-            s = o.height,
-            d = o.width;
-        let f = Math.min(u, s),
-            r = Math.min(n, d);
-        return f === u && r === n
-            ? e
-            : (u > n ? (r = Math.floor((n * f) / u)) : n > u && (f = Math.floor((u * r) / n)),
-              await e.resize(r, f, { resample: i }));
-    }
-    async crop_margin(e, o = 200) {
-        const i = e.clone().grayscale(),
-            u = min(i.data)[0],
-            s = max(i.data)[0] - u;
-        if (s === 0) return e;
-        const d = o / 255;
-        let f = i.width,
-            r = i.height,
-            a = 0,
-            l = 0;
-        for (let p = 0; p < i.height; ++p) {
-            const m = p * i.width;
-            for (let y = 0; y < i.width; ++y)
-                (i.data[m + y] - u) / s < d &&
-                    ((f = Math.min(f, y)), (r = Math.min(r, p)), (a = Math.max(a, y)), (l = Math.max(l, p)));
-        }
-        return (e = await e.crop([f, r, a, l])), e;
-    }
-    pad_image(e, o, i, { mode: u = 'constant', center: n = !1, constant_values: s = 0 } = {}) {
-        const [d, f, r] = o;
-        let a, l;
-        if ((typeof i == 'number' ? ((a = i), (l = i)) : ((a = i.width), (l = i.height)), a !== d || l !== f)) {
-            const p = new Float32Array(a * l * r);
-            if (Array.isArray(s)) for (let T = 0; T < p.length; ++T) p[T] = s[T % r];
-            else s !== 0 && p.fill(s);
-            const [m, y] = n ? [Math.floor((a - d) / 2), Math.floor((l - f) / 2)] : [0, 0];
-            for (let T = 0; T < f; ++T) {
-                const v = (T + y) * a,
-                    S = T * d;
-                for (let E = 0; E < d; ++E) {
-                    const A = (v + E + m) * r,
-                        F = (S + E) * r;
-                    for (let B = 0; B < r; ++B) p[A + B] = e[F + B];
-                }
-            }
-            if (u === 'symmetric') {
-                if (n) throw new Error('`center` padding is not supported when `mode` is set to `symmetric`.');
-                const T = f - 1,
-                    v = d - 1;
-                for (let S = 0; S < l; ++S) {
-                    const E = S * a,
-                        A = calculateReflectOffset(S, T) * d;
-                    for (let F = 0; F < a; ++F) {
-                        if (S < f && F < d) continue;
-                        const B = (E + F) * r,
-                            J = (A + calculateReflectOffset(F, v)) * r;
-                        for (let Q = 0; Q < r; ++Q) p[B + Q] = e[J + Q];
-                    }
-                }
-            }
-            (e = p), (o = [l, a, r]);
-        }
-        return [e, o];
-    }
-    rescale(e) {
-        for (let o = 0; o < e.length; ++o) e[o] = this.rescale_factor * e[o];
-    }
-    get_resize_output_image_size(e, o) {
-        const [i, u] = e.size;
-        let n, s;
-        if (this.do_thumbnail) {
-            const { height: d, width: f } = o;
-            n = Math.min(d, f);
-        } else
-            Number.isInteger(o)
-                ? ((n = o), (s = this.config.max_size ?? n))
-                : o !== void 0 && ((n = o.shortest_edge), (s = o.longest_edge));
-        if (n !== void 0 || s !== void 0) {
-            const d = n === void 0 ? 1 : Math.max(n / i, n / u),
-                f = i * d,
-                r = u * d,
-                a = s === void 0 ? 1 : Math.min(s / f, s / r);
-            let l = Math.floor(Number((f * a).toFixed(2))),
-                p = Math.floor(Number((r * a).toFixed(2)));
-            return (
-                this.size_divisibility !== void 0 &&
-                    ([l, p] = enforce_size_divisibility([l, p], this.size_divisibility)),
-                [l, p]
-            );
-        } else if (o !== void 0 && o.width !== void 0 && o.height !== void 0) {
-            let d = o.width,
-                f = o.height;
-            if (this.config.keep_aspect_ratio && this.config.ensure_multiple_of) {
-                let r = o.height / u,
-                    a = o.width / i;
-                Math.abs(1 - a) < Math.abs(1 - r) ? (r = a) : (a = r),
-                    (f = constraint_to_multiple_of(r * u, this.config.ensure_multiple_of)),
-                    (d = constraint_to_multiple_of(a * i, this.config.ensure_multiple_of));
-            }
-            return [d, f];
-        } else {
-            if (this.size_divisibility !== void 0) return enforce_size_divisibility([i, u], this.size_divisibility);
-            throw new Error(
-                `Could not resize image due to unsupported \`this.size\` option in config: ${JSON.stringify(o)}`
-            );
-        }
-    }
-    async resize(e) {
-        const [o, i] = this.get_resize_output_image_size(e, this.size);
-        return await e.resize(o, i, { resample: this.resample });
-    }
-    async preprocess(
-        e,
-        { do_normalize: o = null, do_pad: i = null, do_convert_rgb: u = null, do_convert_grayscale: n = null } = {}
-    ) {
-        this.do_crop_margin && (e = await this.crop_margin(e));
-        const [s, d] = e.size;
-        if (
-            (u ?? this.do_convert_rgb ? (e = e.rgb()) : n && (e = e.grayscale()),
-            this.do_resize && (e = await this.resize(e)),
-            this.do_thumbnail && (e = await this.thumbnail(e, this.size, this.resample)),
-            this.do_center_crop)
-        ) {
-            let m, y;
-            Number.isInteger(this.crop_size)
-                ? ((m = this.crop_size), (y = this.crop_size))
-                : ((m = this.crop_size.width), (y = this.crop_size.height)),
-                (e = await e.center_crop(m, y));
-        }
-        const f = [e.height, e.width];
-        let r = Float32Array.from(e.data),
-            a = [e.height, e.width, e.channels];
-        if ((this.do_rescale && this.rescale(r), o ?? this.do_normalize)) {
-            let m = this.image_mean;
-            Array.isArray(this.image_mean) || (m = new Array(e.channels).fill(m));
-            let y = this.image_std;
-            if (
-                (Array.isArray(this.image_std) || (y = new Array(e.channels).fill(m)),
-                m.length !== e.channels || y.length !== e.channels)
-            )
-                throw new Error(
-                    `When set to arrays, the length of \`image_mean\` (${m.length}) and \`image_std\` (${y.length}) must match the number of channels in the image (${e.channels}).`
-                );
-            for (let T = 0; T < r.length; T += e.channels)
-                for (let v = 0; v < e.channels; ++v) r[T + v] = (r[T + v] - this.image_mean[v]) / this.image_std[v];
-        }
-        if (this.do_pad && this.pad_size) {
-            const m = new Float32Array(this.pad_size.width * this.pad_size.height * e.channels);
-            for (let y = 0; y < e.height; ++y) {
-                const T = y * this.pad_size.width,
-                    v = y * e.width;
-                for (let S = 0; S < e.width; ++S) {
-                    const E = (T + S) * e.channels,
-                        A = (v + S) * e.channels;
-                    for (let F = 0; F < e.channels; ++F) m[E + F] = r[A + F];
-                }
-            }
-            (r = m), (a = [this.pad_size.height, this.pad_size.width, e.channels]);
-        }
-        const l = new Tensor('float32', r, a),
-            p = transpose(l, [2, 0, 1]);
-        return { original_size: [d, s], reshaped_input_size: f, pixel_values: p };
-    }
-    async _call(e, ...o) {
-        Array.isArray(e) || (e = [e]);
-        const i = await Promise.all(e.map((n) => this.preprocess(n)));
-        return {
-            pixel_values: stack(
-                i.map((n) => n.pixel_values),
-                0
-            ),
-            original_sizes: i.map((n) => n.original_size),
-            reshaped_input_sizes: i.map((n) => n.reshaped_input_size),
-        };
-    }
-}
-class SegformerFeatureExtractor extends ImageFeatureExtractor {
-    post_process_semantic_segmentation(e, o = null) {
-        const i = e.logits,
-            u = i.dims[0];
-        if (o !== null && o.length !== u)
-            throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
-        const n = [];
-        for (let s = 0; s < u; ++s) {
-            const d = o !== null ? o[s] : null;
-            let f = i[s];
-            d !== null && (f = interpolate(f, d, 'bilinear', !1));
-            const [r, a] = d ?? f.dims.slice(-2),
-                l = new Tensor('int32', new Int32Array(r * a), [r, a]),
-                p = f[0].data;
-            for (let v = 1; v < f.dims[0]; ++v) {
-                const S = f[v].data;
-                for (let E = 0; E < S.length; ++E) S[E] > p[E] && ((p[E] = S[E]), (l.data[E] = v));
-            }
-            const m = new Array(f.dims[0]),
-                y = l.data;
-            for (let v = 0; v < y.length; ++v) {
-                const S = y[v];
-                m[S] = S;
-            }
-            const T = m.filter((v) => v !== void 0);
-            n.push({ segmentation: l, labels: T });
-        }
-        return n;
-    }
-}
-class DPTImageProcessor extends ImageFeatureExtractor {}
-class BitImageProcessor extends ImageFeatureExtractor {}
-class DPTFeatureExtractor extends ImageFeatureExtractor {}
-class GLPNFeatureExtractor extends ImageFeatureExtractor {}
-class CLIPFeatureExtractor extends ImageFeatureExtractor {}
-class ChineseCLIPFeatureExtractor extends ImageFeatureExtractor {}
-class SiglipImageProcessor extends ImageFeatureExtractor {}
-class ConvNextFeatureExtractor extends ImageFeatureExtractor {
-    constructor(e) {
-        super(e), (this.crop_pct = this.config.crop_pct ?? 224 / 256);
-    }
-    async resize(e) {
-        const o = this.size?.shortest_edge;
-        if (o === void 0) throw new Error("Size dictionary must contain 'shortest_edge' key.");
-        if (o < 384) {
-            const i = Math.floor(o / this.crop_pct),
-                [u, n] = this.get_resize_output_image_size(e, { shortest_edge: i });
-            (e = await e.resize(u, n, { resample: this.resample })), (e = await e.center_crop(o, o));
-        } else e = await e.resize(o, o, { resample: this.resample });
-        return e;
-    }
-}
-class ConvNextImageProcessor extends ConvNextFeatureExtractor {}
-class ViTFeatureExtractor extends ImageFeatureExtractor {}
-class ViTImageProcessor extends ImageFeatureExtractor {}
-class MobileViTFeatureExtractor extends ImageFeatureExtractor {}
-class OwlViTFeatureExtractor extends ImageFeatureExtractor {
-    post_process_object_detection(...e) {
-        return post_process_object_detection(...e);
-    }
-}
-class Owlv2ImageProcessor extends OwlViTFeatureExtractor {}
-class DeiTFeatureExtractor extends ImageFeatureExtractor {}
-class BeitFeatureExtractor extends ImageFeatureExtractor {}
-class DonutFeatureExtractor extends ImageFeatureExtractor {
-    pad_image(e, o, i, u = {}) {
-        const [n, s, d] = o;
-        let f = this.image_mean;
-        Array.isArray(this.image_mean) || (f = new Array(d).fill(f));
-        let r = this.image_std;
-        Array.isArray(r) || (r = new Array(d).fill(f));
-        const a = f.map((l, p) => -l / this.image_std[p]);
-        return super.pad_image(e, o, i, { center: !0, constant_values: a, ...u });
-    }
-}
-class NougatImageProcessor extends DonutFeatureExtractor {}
-class DetrFeatureExtractor extends ImageFeatureExtractor {
-    async _call(e) {
-        const o = await super._call(e),
-            i = [o.pixel_values.dims[0], 64, 64],
-            u = new Tensor('int64', new BigInt64Array(i.reduce((n, s) => n * s)).fill(1n), i);
-        return { ...o, pixel_mask: u };
-    }
-    post_process_object_detection(...e) {
-        return post_process_object_detection(...e);
-    }
-    remove_low_and_no_objects(e, o, i, u) {
-        let n = [],
-            s = [],
-            d = [];
-        for (let f = 0; f < e.dims[0]; ++f) {
-            let r = e[f],
-                a = o[f],
-                l = max(r.data)[1];
-            if (l === u) continue;
-            let m = softmax(r.data)[l];
-            m > i && (n.push(a), s.push(m), d.push(l));
-        }
-        return [n, s, d];
-    }
-    check_segment_validity(e, o, i, u = 0.5, n = 0.8) {
-        let s = [],
-            d = 0,
-            f = 0;
-        for (let a = 0; a < e.length; ++a) e[a] === i && (s.push(a), ++d), o[i].data[a] >= u && ++f;
-        let r = d > 0 && f > 0;
-        return r && (r = d / f > n), [r, s];
-    }
-    compute_segments(e, o, i, u, n, s = null, d = null) {
-        let [f, r] = d ?? e[0].dims,
-            a = new Tensor('int32', new Int32Array(f * r), [f, r]),
-            l = [];
-        if (d !== null) for (let T = 0; T < e.length; ++T) e[T] = interpolate(e[T], d, 'bilinear', !1);
-        let p = new Int32Array(e[0].data.length),
-            m = new Float32Array(e[0].data.length);
-        for (let T = 0; T < e.length; ++T) {
-            let v = o[T];
-            for (let S = 0; S < e[T].data.length; ++S)
-                (e[T].data[S] *= v), e[T].data[S] > m[S] && ((p[S] = T), (m[S] = e[T].data[S]));
-        }
-        let y = 0;
-        for (let T = 0; T < i.length; ++T) {
-            let v = i[T],
-                [S, E] = this.check_segment_validity(p, e, T, u, n);
-            if (S) {
-                ++y;
-                for (let A of E) a.data[A] = y;
-                l.push({ id: y, label_id: v, score: o[T] });
-            }
-        }
-        return [a, l];
-    }
-    post_process_panoptic_segmentation(e, o = 0.5, i = 0.5, u = 0.8, n = null, s = null) {
-        n === null && (console.warn('`label_ids_to_fuse` unset. No instance will be fused.'), (n = new Set()));
-        const d = e.logits,
-            r = e.pred_masks.sigmoid();
-        let [a, l, p] = d.dims;
-        if (((p -= 1), s !== null && s.length !== a))
-            throw Error('Make sure that you pass in as many target sizes as the batch dimension of the logits');
-        let m = [];
-        for (let y = 0; y < a; ++y) {
-            let T = s !== null ? s[y] : null,
-                v = d[y],
-                S = r[y],
-                [E, A, F] = this.remove_low_and_no_objects(v, S, o, p);
-            if (F.length === 0) {
-                let [Q, re] = T ?? S.dims.slice(-2),
-                    V = new Tensor('int32', new Int32Array(Q * re).fill(-1), [Q, re]);
-                m.push({ segmentation: V, segments_info: [] });
-                continue;
-            }
-            let [B, J] = this.compute_segments(E, A, F, i, u, n, T);
-            m.push({ segmentation: B, segments_info: J });
-        }
-        return m;
-    }
-    post_process_instance_segmentation() {
-        throw Error('Not implemented yet');
-    }
-}
-class YolosFeatureExtractor extends ImageFeatureExtractor {
-    post_process_object_detection(...e) {
-        return post_process_object_detection(...e);
-    }
-}
-class SamImageProcessor extends ImageFeatureExtractor {
-    reshape_input_points(e, o, i) {
-        e = structuredClone(e);
-        let u = calculateDimensions(e);
-        if (u.length === 3) (u = [1, ...u]), (e = [e]);
-        else if (u.length !== 4)
-            throw Error(
-                'The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.'
-            );
-        for (let n = 0; n < e.length; ++n) {
-            let s = o[n],
-                d = i[n],
-                f = [d[0] / s[0], d[1] / s[1]];
-            for (let r = 0; r < e[n].length; ++r)
-                for (let a = 0; a < e[n][r].length; ++a)
-                    for (let l = 0; l < e[n][r][a].length; ++l) e[n][r][a][l] *= f[l];
-        }
-        return new Tensor('float32', Float32Array.from(e.flat(1 / 0)), u);
-    }
-    add_input_labels(e, o) {
-        let i = calculateDimensions(e);
-        if (i.length === 2) (i = [1, ...i]), (e = [e]);
-        else if (i.length !== 3)
-            throw Error(
-                'The input_points must be a 4D tensor of shape `batch_size`, `point_batch_size`, `nb_points_per_image`, `2`.'
-            );
-        if (i.some((u, n) => u !== o.dims[n]))
-            throw Error(`The first ${i.length} dimensions of 'input_points' and 'input_labels' must be the same.`);
-        return new Tensor('int64', e.flat(1 / 0).map(BigInt), i);
-    }
-    async _call(e, o = null, i = null) {
-        const u = await super._call(e);
-        if ((o && (u.input_points = this.reshape_input_points(o, u.original_sizes, u.reshaped_input_sizes)), i)) {
-            if (!u.input_points) throw Error('`input_points` must be provided if `input_labels` are provided.');
-            u.input_labels = this.add_input_labels(i, u.input_points);
-        }
-        return u;
-    }
-    post_process_masks(e, o, i, { mask_threshold: u = 0, binarize: n = !0, pad_size: s = null } = {}) {
-        const d = [];
-        s = s ?? this.pad_size;
-        const f = [s.height, s.width];
-        for (let r = 0; r < o.length; ++r) {
-            const a = o[r],
-                l = i[r],
-                p = e[r],
-                m = [];
-            for (let y = 0; y < p.dims[0]; ++y) {
-                const T = p[y];
-                let v = interpolate(T, f, 'bilinear', !1);
-                if (((v = v.slice(null, [0, l[0]], [0, l[1]])), (v = interpolate(v, a, 'bilinear', !1)), n)) {
-                    const S = new Uint8Array(v.data.length);
-                    for (let E = 0; E < v.data.length; ++E) v.data[E] > u && (S[E] = 1);
-                    v = new Tensor('bool', S, v.dims);
-                }
-                m.push(v);
-            }
-            d.push(stack(m));
-        }
-        return d;
-    }
-    generate_crop_boxes(
-        e,
-        o,
-        {
-            crop_n_layers: i = 0,
-            overlap_ratio: u = 512 / 1500,
-            points_per_crop: n = 32,
-            crop_n_points_downscale_factor: s = 1,
-        } = {}
-    ) {}
-}
-class Swin2SRImageProcessor extends ImageFeatureExtractor {
-    pad_image(e, o, i, u = {}) {
-        const [n, s, d] = o;
-        return super.pad_image(
-            e,
-            o,
-            { width: n + ((i - (n % i)) % i), height: s + ((i - (s % i)) % i) },
-            { mode: 'symmetric', center: !1, constant_values: -1, ...u }
-        );
-    }
-}
-class VitMatteImageProcessor extends ImageFeatureExtractor {
-    async _call(e, o) {
-        Array.isArray(e) || (e = [e]), Array.isArray(o) || (o = [o]);
-        const i = await Promise.all(e.map((s) => this.preprocess(s))),
-            u = await Promise.all(
-                o.map((s) => this.preprocess(s, { do_normalize: !1, do_convert_rgb: !1, do_convert_grayscale: !0 }))
-            );
-        return {
-            pixel_values: stack(
-                i.map((s, d) => cat([s.pixel_values, u[d].pixel_values], 0)),
-                0
-            ),
-            original_sizes: i.map((s) => s.original_size),
-            reshaped_input_sizes: i.map((s) => s.reshaped_input_size),
-        };
-    }
-}
-class WhisperFeatureExtractor extends FeatureExtractor {
-    constructor(e) {
-        super(e),
-            (this.config.mel_filters ??= mel_filter_bank(
-                Math.floor(1 + this.config.n_fft / 2),
-                this.config.feature_size,
-                0,
-                8e3,
-                this.config.sampling_rate,
-                'slaney',
-                'slaney'
-            )),
-            (this.window = window_function(this.config.n_fft, 'hann'));
-    }
-    _extract_fbank_features(e) {
-        const { data: o, dims: i } = spectrogram(e, this.window, this.config.n_fft, this.config.hop_length, {
-                power: 2,
-                mel_filters: this.config.mel_filters,
-                log_mel: 'log10',
-                max_num_frames: this.config.nb_max_frames,
-            }),
-            u = max(o)[0];
-        for (let n = 0; n < o.length; ++n) o[n] = (Math.max(o[n], u - 8) + 4) / 4;
-        return { data: o, dims: i };
-    }
-    async _call(e) {
-        validate_audio_inputs(e, 'WhisperFeatureExtractor');
-        let o;
-        e.length > this.config.n_samples
-            ? (console.warn(
-                  'Attempting to extract features for audio longer than 30 seconds. If using a pipeline to extract transcript from a long audio clip, remember to specify `chunk_length_s` and/or `stride_length_s`.'
-              ),
-              (o = e.slice(0, this.config.n_samples)))
-            : ((o = new Float32Array(this.config.n_samples)), o.set(e));
-        const { data: i, dims: u } = this._extract_fbank_features(o);
-        return { input_features: new Tensor('float32', i, [1, ...u]) };
-    }
-}
-class Wav2Vec2FeatureExtractor extends FeatureExtractor {
-    _zero_mean_unit_var_norm(e) {
-        const i = e.reduce((n, s) => n + s, 0) / e.length,
-            u = e.reduce((n, s) => n + (s - i) ** 2, 0) / e.length;
-        return e.map((n) => (n - i) / Math.sqrt(u + 1e-7));
-    }
-    async _call(e) {
-        validate_audio_inputs(e, 'Wav2Vec2FeatureExtractor'), e instanceof Float64Array && (e = new Float32Array(e));
-        let o = e;
-        this.config.do_normalize && (o = this._zero_mean_unit_var_norm(o));
-        const i = [1, o.length];
-        return {
-            input_values: new Tensor('float32', o, i),
-            attention_mask: new Tensor('int64', new BigInt64Array(o.length).fill(1n), i),
-        };
-    }
-}
-class SeamlessM4TFeatureExtractor extends FeatureExtractor {
-    constructor(e) {
-        super(e);
-        const o = this.config.sampling_rate,
-            i = mel_filter_bank(256, this.config.num_mel_bins, 20, Math.floor(o / 2), o, null, 'kaldi', !0);
-        for (let u = 0; u < i.length; ++u) i[u].push(0);
-        (this.mel_filters = i), (this.window = window_function(400, 'povey', { periodic: !1 }));
-    }
-    _extract_fbank_features(e, o) {
-        return (
-            (e = e.map((i) => i * 32768)),
-            spectrogram(e, this.window, 400, 160, {
-                fft_length: 512,
-                power: 2,
-                center: !1,
-                preemphasis: 0.97,
-                mel_filters: this.mel_filters,
-                log_mel: 'log',
-                mel_floor: 1192092955078125e-22,
-                remove_dc_offset: !0,
-                max_num_frames: o,
-                transpose: !0,
-            })
-        );
-    }
-    async _call(
-        e,
-        {
-            padding: o = !0,
-            pad_to_multiple_of: i = 2,
-            do_normalize_per_mel_bins: u = !0,
-            return_attention_mask: n = !0,
-        } = {}
-    ) {
-        validate_audio_inputs(e, 'SeamlessM4TFeatureExtractor');
-        let s = this._extract_fbank_features(e, this.config.max_length);
-        if (u) {
-            const [y, T] = s.dims;
-            for (let v = 0; v < T; ++v) {
-                let S = 0;
-                for (let B = 0; B < y; ++B) S += s.data[B * T + v];
-                const E = S / y;
-                let A = 0;
-                for (let B = 0; B < y; ++B) A += (s.data[B * T + v] - E) ** 2;
-                A /= y - 1;
-                const F = Math.sqrt(A + 1e-7);
-                for (let B = 0; B < y; ++B) {
-                    const J = B * T + v;
-                    s.data[J] = (s.data[J] - E) / F;
-                }
-            }
-        }
-        let d;
-        if (o) {
-            const [y, T] = s.dims,
-                v = y % i;
-            if (v > 0) {
-                const S = new Float32Array(T * (y + v));
-                S.set(s.data), S.fill(this.config.padding_value, s.data.length);
-                const E = y + v;
-                (s = { data: S, dims: [E, T] }),
-                    n && ((d = new Tensor('int64', new BigInt64Array(E), [1, E])), d.data.fill(1n, 0, y));
-            }
-        }
-        const [f, r] = s.dims,
-            a = this.config.stride;
-        if (f % a !== 0) throw new Error(`The number of frames (${f}) must be a multiple of the stride (${a}).`);
-        const p = new Tensor('float32', s.data, s.dims).view(1, Math.floor(f / a), r * a),
-            m = { input_features: p };
-        if (n) {
-            const y = p.dims[1],
-                T = new Tensor('int64', new BigInt64Array(y), [1, y]);
-            if (d) for (let v = 1, S = 0; v < f; v += a, ++S) T.data[S] = d.data[v];
-            else T.data.fill(1n);
-            m.attention_mask = T;
-        }
-        return m;
-    }
-}
-class ASTFeatureExtractor extends FeatureExtractor {
-    constructor(e) {
-        super(e);
-        const o = this.config.sampling_rate,
-            i = mel_filter_bank(256, this.config.num_mel_bins, 20, Math.floor(o / 2), o, null, 'kaldi', !0);
-        for (let u = 0; u < i.length; ++u) i[u].push(0);
-        (this.mel_filters = i),
-            (this.window = window_function(400, 'hann', { periodic: !1 })),
-            (this.mean = this.config.mean),
-            (this.std = this.config.std);
-    }
-    _extract_fbank_features(e, o) {
-        return spectrogram(e, this.window, 400, 160, {
-            fft_length: 512,
-            power: 2,
-            center: !1,
-            preemphasis: 0.97,
-            mel_filters: this.mel_filters,
-            log_mel: 'log',
-            mel_floor: 1192092955078125e-22,
-            remove_dc_offset: !0,
-            max_num_frames: o,
-            transpose: !0,
-        });
-    }
-    async _call(e) {
-        validate_audio_inputs(e, 'ASTFeatureExtractor');
-        const o = this._extract_fbank_features(e, this.config.max_length);
-        if (this.config.do_normalize) {
-            const i = this.std * 2;
-            for (let u = 0; u < o.data.length; ++u) o.data[u] = (o.data[u] - this.mean) / i;
-        }
-        return { input_values: new Tensor('float32', o.data, [1, ...o.dims]) };
-    }
-}
-class ClapFeatureExtractor extends FeatureExtractor {
-    constructor(e) {
-        super(e),
-            (this.mel_filters = mel_filter_bank(
-                this.config.nb_frequency_bins,
-                this.config.feature_size,
-                this.config.frequency_min,
-                this.config.frequency_max,
-                this.config.sampling_rate,
-                null,
-                'htk'
-            )),
-            (this.mel_filters_slaney = mel_filter_bank(
-                this.config.nb_frequency_bins,
-                this.config.feature_size,
-                this.config.frequency_min,
-                this.config.frequency_max,
-                this.config.sampling_rate,
-                'slaney',
-                'slaney'
-            )),
-            (this.window = window_function(this.config.fft_window_size, 'hann'));
-    }
-    _get_input_mel(e, o, i, u) {
-        let n,
-            s = !1;
-        const d = e.length - o;
-        if (d > 0)
-            if (i === 'rand_trunc') {
-                s = !0;
-                const f = Math.floor(Math.random() * (d + 1));
-                (e = e.subarray(f, f + o)),
-                    (n = this._extract_fbank_features(e, this.mel_filters_slaney, this.config.nb_max_samples)),
-                    (n.dims = [1, ...n.dims]);
-            } else throw new Error(`Truncation strategy "${i}" not implemented`);
-        else {
-            if (d < 0) {
-                let f = new Float64Array(o);
-                if ((f.set(e), u === 'repeat'))
-                    for (let r = e.length; r < o; r += e.length) f.set(e.subarray(0, Math.min(e.length, o - r)), r);
-                else if (u === 'repeatpad') for (let r = e.length; r < -d; r += e.length) f.set(e, r);
-                e = f;
-            }
-            if (i === 'fusion') throw new Error(`Truncation strategy "${i}" not implemented`);
-            (n = this._extract_fbank_features(e, this.mel_filters_slaney, this.config.nb_max_samples)),
-                (n.dims = [1, ...n.dims]);
-        }
-        return { ...n, longer: s };
-    }
-    _extract_fbank_features(e, o, i = null) {
-        return spectrogram(e, this.window, this.config.fft_window_size, this.config.hop_length, {
-            power: 2,
-            mel_filters: o,
-            log_mel: 'dB',
-            max_num_frames: i,
-            do_pad: !1,
-            transpose: !0,
-        });
-    }
-    async _call(e, { max_length: o = null } = {}) {
-        validate_audio_inputs(e, 'ClapFeatureExtractor');
-        const i = this._get_input_mel(e, o ?? this.config.nb_max_samples, this.config.truncation, this.config.padding);
-        return { input_features: new Tensor('float32', i.data, [1, ...i.dims]) };
-    }
-}
-class SpeechT5FeatureExtractor extends FeatureExtractor {}
-class Processor extends Callable {
-    constructor(e) {
-        super(), (this.feature_extractor = e);
-    }
-    async _call(e, ...o) {
-        return await this.feature_extractor(e, ...o);
-    }
-}
-class SamProcessor extends Processor {
-    async _call(...e) {
-        return await this.feature_extractor(...e);
-    }
-    post_process_masks(...e) {
-        return this.feature_extractor.post_process_masks(...e);
-    }
-    reshape_input_points(...e) {
-        return this.feature_extractor.reshape_input_points(...e);
-    }
-}
-class WhisperProcessor extends Processor {
-    async _call(e) {
-        return await this.feature_extractor(e);
-    }
-}
-class Wav2Vec2ProcessorWithLM extends Processor {
-    async _call(e) {
-        return await this.feature_extractor(e);
-    }
-}
-class SpeechT5Processor extends Processor {
-    async _call(e) {
-        return await this.feature_extractor(e);
-    }
-}
-class OwlViTProcessor extends Processor {}
-class AutoProcessor {
-    static FEATURE_EXTRACTOR_CLASS_MAPPING = {
-        ImageFeatureExtractor,
-        WhisperFeatureExtractor,
-        ViTFeatureExtractor,
-        MobileViTFeatureExtractor,
-        OwlViTFeatureExtractor,
-        Owlv2ImageProcessor,
-        CLIPFeatureExtractor,
-        ChineseCLIPFeatureExtractor,
-        SiglipImageProcessor,
-        ConvNextFeatureExtractor,
-        ConvNextImageProcessor,
-        SegformerFeatureExtractor,
-        BitImageProcessor,
-        DPTImageProcessor,
-        DPTFeatureExtractor,
-        GLPNFeatureExtractor,
-        BeitFeatureExtractor,
-        DeiTFeatureExtractor,
-        DetrFeatureExtractor,
-        YolosFeatureExtractor,
-        DonutFeatureExtractor,
-        NougatImageProcessor,
-        ViTImageProcessor,
-        VitMatteImageProcessor,
-        SamImageProcessor,
-        Swin2SRImageProcessor,
-        Wav2Vec2FeatureExtractor,
-        SeamlessM4TFeatureExtractor,
-        SpeechT5FeatureExtractor,
-        ASTFeatureExtractor,
-        ClapFeatureExtractor,
-    };
-    static PROCESSOR_CLASS_MAPPING = {
-        WhisperProcessor,
-        Wav2Vec2ProcessorWithLM,
-        SamProcessor,
-        SpeechT5Processor,
-        OwlViTProcessor,
-    };
-    static async from_pretrained(
-        e,
-        {
-            progress_callback: o = null,
-            config: i = null,
-            cache_dir: u = null,
-            local_files_only: n = !1,
-            revision: s = 'main',
-        } = {}
-    ) {
-        let d =
-                i ??
-                (await getModelJSON(e, 'preprocessor_config.json', !0, {
-                    progress_callback: o,
-                    config: i,
-                    cache_dir: u,
-                    local_files_only: n,
-                    revision: s,
-                })),
-            f = d.feature_extractor_type ?? d.image_processor_type,
-            r = this.FEATURE_EXTRACTOR_CLASS_MAPPING[f];
-        if (!r)
-            if (d.size !== void 0)
-                console.warn(
-                    `Feature extractor type "${f}" not found, assuming ImageFeatureExtractor due to size parameter in config.`
-                ),
-                    (r = ImageFeatureExtractor);
-            else throw new Error(`Unknown Feature Extractor type: ${f}`);
-        let a = this.PROCESSOR_CLASS_MAPPING[d.processor_class] ?? Processor,
-            l = new r(d);
-        return new a(l);
-    }
-}
-if (!navigator.gpu) {
-    const t = 'WebGPU is not supported by this browser.';
-    throw (alert(t), Error(t));
-}
-env.backends.onnx.wasm.proxy = !0;
-env.backends.onnx.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.17.1/dist/';
-env.backends.onnx.wasm.numThreads = 1;
-env.experimental.useWebGPU = !0;
-const EXAMPLE_URL =
-        'https://images.pexels.com/photos/5965592/pexels-photo-5965592.jpeg?auto=compress&cs=tinysrgb&w=1024',
-    status = document.getElementById('status'),
-    fileUpload = document.getElementById('upload'),
-    imageContainer = document.getElementById('container'),
-    example = document.getElementById('example');
-status.textContent = 'AI 모델 로딩중...';
-let model;
-try {
-    model = await AutoModel.from_pretrained('briaai/RMBG-1.4', { config: { model_type: 'custom' }, quantized: !1 });
-} catch (t) {
-    throw ((status.textContent = t.message), alert(t.message), t);
-}
-const processor = await AutoProcessor.from_pretrained('briaai/RMBG-1.4', {
-    config: {
-        do_normalize: !0,
-        do_pad: !1,
-        do_rescale: !0,
-        do_resize: !0,
-        image_mean: [0.5, 0.5, 0.5],
-        feature_extractor_type: 'ImageFeatureExtractor',
-        image_std: [1, 1, 1],
-        resample: 2,
-        rescale_factor: 0.00392156862745098,
-        size: { width: 1024, height: 1024 },
-    },
-});
-status.textContent = 'AI 모델 설치중...';
-const [b, c, h, w] = [1, 3, 1024, 1024],
-    dummyData = new Float32Array(b * c * h * w);
-await model({ input: new Tensor('float32', dummyData, [b, c, h, w]) });
-status.textContent = '준비 완료!';
-example.addEventListener('click', (t) => {
-    t.preventDefault(), predict(EXAMPLE_URL);
-});
-fileUpload.addEventListener('change', function (t) {
-    const e = t.target.files[0];
-    if (!e) return;
-    const o = new FileReader();
-    (o.onload = (i) => predict(i.target.result)), o.readAsDataURL(e);
-});
-async function predict(t) {
-    const e = await RawImage.fromURL(t);
-    (imageContainer.innerHTML = ''), (imageContainer.style.backgroundImage = `url(${t})`);
-    const o = e.width / e.height,
-        [i, u] = o > 720 / 480 ? [720, 720 / o] : [480 * o, 480];
-    (imageContainer.style.width = `${i}px`),
-        (imageContainer.style.height = `${u}px`),
-        (status.textContent = 'Analysing...');
-    const { pixel_values: n } = await processor(e),
-        s = performance.now(),
-        { output: d } = await model({ input: n }),
-        f = performance.now(),
-        r = await RawImage.fromTensor(d[0].mul(255).to('uint8')).resize(e.width, e.height),
-        a = document.createElement('canvas');
-    (a.width = e.width), (a.height = e.height);
-    const l = a.getContext('2d');
-    l.drawImage(e.toCanvas(), 0, 0);
-    const p = l.getImageData(0, 0, e.width, e.height);
-    for (let m = 0; m < r.data.length; ++m) p.data[4 * m + 3] = r.data[m];
-    l.putImageData(p, 0, 0),
-        imageContainer.append(a),
-        imageContainer.style.removeProperty('background-image'),
-        (imageContainer.style.background =
-            'url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAGUExURb+/v////5nD/3QAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAUSURBVBjTYwABQSCglEENMxgYGAAynwRB8BEAgQAAAABJRU5ErkJggg==")'),
-        (status.textContent = `Done! (Inference took ${Math.round(f - s)}ms)`);
-}
-function __vite__mapDeps(indexes) {
-    if (!__vite__mapDeps.viteFileDeps) {
-        __vite__mapDeps.viteFileDeps = [];
-    }
-    return indexes.map((i) => __vite__mapDeps.viteFileDeps[i]);
-}