"use strict";
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/**
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* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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return new (P || (P = Promise))(function (resolve, reject) {
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function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
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function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
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function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
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step((generator = generator.apply(thisArg, _arguments || [])).next());
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});
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};
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var __generator = (this && this.__generator) || function (thisArg, body) {
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var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
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return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
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function verb(n) { return function (v) { return step([n, v]); }; }
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function step(op) {
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if (f) throw new TypeError("Generator is already executing.");
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while (_) try {
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if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
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if (y = 0, t) op = [op[0] & 2, t.value];
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switch (op[0]) {
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case 0: case 1: t = op; break;
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case 4: _.label++; return { value: op[1], done: false };
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case 5: _.label++; y = op[1]; op = [0]; continue;
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case 7: op = _.ops.pop(); _.trys.pop(); continue;
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default:
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if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
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if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
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if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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if (t[2]) _.ops.pop();
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_.trys.pop(); continue;
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}
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op = body.call(thisArg, _);
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} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
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}
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};
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Object.defineProperty(exports, "__esModule", { value: true });
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var environment_1 = require("../environment");
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var util = require("../util");
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var io_utils_1 = require("./io_utils");
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var progress_1 = require("./progress");
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var types_1 = require("./types");
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/**
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* Reads binary weights data from a number of URLs.
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*
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* @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.
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* @param requestOptions RequestInit (options) for the HTTP requests.
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* @param fetchFunc Optional overriding value for the `window.fetch` function.
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* @param onProgress Optional, progress callback function, fired periodically
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* before the load is completed.
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* @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same
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* length as `fetchURLs`.
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*/
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function loadWeightsAsArrayBuffer(fetchURLs, loadOptions) {
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return __awaiter(this, void 0, void 0, function () {
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var fetchFunc, requests, fetchStartFraction, fetchEndFraction, responses, _a, bufferPromises, bufferStartFraction, bufferEndFraction, buffers, _b;
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return __generator(this, function (_c) {
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switch (_c.label) {
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case 0:
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if (loadOptions == null) {
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loadOptions = {};
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}
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fetchFunc = loadOptions.fetchFunc == null ? environment_1.env().platform.fetch :
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loadOptions.fetchFunc;
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requests = fetchURLs.map(function (fetchURL) {
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return fetchFunc(fetchURL, loadOptions.requestInit, { isBinary: true });
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});
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fetchStartFraction = 0;
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fetchEndFraction = 0.5;
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if (!(loadOptions.onProgress == null)) return [3 /*break*/, 2];
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return [4 /*yield*/, Promise.all(requests)];
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case 1:
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_a = _c.sent();
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return [3 /*break*/, 4];
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case 2: return [4 /*yield*/, progress_1.monitorPromisesProgress(requests, loadOptions.onProgress, fetchStartFraction, fetchEndFraction)];
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case 3:
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_a = _c.sent();
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_c.label = 4;
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case 4:
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responses = _a;
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bufferPromises = responses.map(function (response) { return response.arrayBuffer(); });
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bufferStartFraction = 0.5;
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bufferEndFraction = 1;
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if (!(loadOptions.onProgress == null)) return [3 /*break*/, 6];
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return [4 /*yield*/, Promise.all(bufferPromises)];
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case 5:
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_b = _c.sent();
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return [3 /*break*/, 8];
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case 6: return [4 /*yield*/, progress_1.monitorPromisesProgress(bufferPromises, loadOptions.onProgress, bufferStartFraction, bufferEndFraction)];
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case 7:
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_b = _c.sent();
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_c.label = 8;
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case 8:
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buffers = _b;
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return [2 /*return*/, buffers];
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}
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});
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});
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}
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exports.loadWeightsAsArrayBuffer = loadWeightsAsArrayBuffer;
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/**
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* Reads a weights manifest JSON configuration, fetches the weights and
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* returns them as `Tensor`s.
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*
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* @param manifest The weights manifest JSON.
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* @param filePathPrefix The path prefix for filenames given in the manifest.
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* Defaults to the empty string.
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* @param weightNames The names of the weights to be fetched.
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*/
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function loadWeights(manifest, filePathPrefix, weightNames, requestInit) {
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if (filePathPrefix === void 0) { filePathPrefix = ''; }
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return __awaiter(this, void 0, void 0, function () {
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var fetchWeights, loadWeights;
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return __generator(this, function (_a) {
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fetchWeights = function (fetchUrls) {
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return loadWeightsAsArrayBuffer(fetchUrls, { requestInit: requestInit });
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};
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loadWeights = weightsLoaderFactory(fetchWeights);
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return [2 /*return*/, loadWeights(manifest, filePathPrefix, weightNames)];
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});
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});
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}
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exports.loadWeights = loadWeights;
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/**
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* Creates a function, which reads a weights manifest JSON configuration,
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* fetches the weight files using the specified function and returns them as
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* `Tensor`s.
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*
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* ```js
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* // example for creating a nodejs weight loader, which reads the weight files
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* // from disk using fs.readFileSync
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*
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* import * as fs from 'fs'
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*
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* const fetchWeightsFromDisk = (filePaths: string[]) =>
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* filePaths.map(filePath => fs.readFileSync(filePath).buffer)
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*
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* const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)
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*
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* const manifest = JSON.parse(
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* fs.readFileSync('./my_model-weights_manifest').toString()
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* )
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* const weightMap = await loadWeights(manifest, './')
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* ```
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* @param fetchWeightsFunction The function used for fetching the weight files.
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* @returns Weight loading function.
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*/
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function weightsLoaderFactory(fetchWeightsFunction) {
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var _this = this;
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return function (manifest, filePathPrefix, weightNames) {
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if (filePathPrefix === void 0) { filePathPrefix = ''; }
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return __awaiter(_this, void 0, void 0, function () {
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var groupIndicesToFetchMap, groupWeightsToFetch, weightsFound, allManifestWeightNames, weightsNotFound, groupIndicesToFetch, fetchUrls, buffers, weightsTensorMap, bufferIndexOffset;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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groupIndicesToFetchMap = manifest.map(function () { return false; });
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groupWeightsToFetch = {};
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weightsFound = weightNames != null ? weightNames.map(function () { return false; }) : [];
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allManifestWeightNames = [];
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manifest.forEach(function (manifestGroupConfig, groupIndex) {
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var groupOffset = 0;
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manifestGroupConfig.weights.forEach(function (weightsEntry) {
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var rawDtype = ('quantization' in weightsEntry) ?
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weightsEntry.quantization.dtype :
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weightsEntry.dtype;
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var weightsBytes = types_1.DTYPE_VALUE_SIZE_MAP[rawDtype] *
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util.sizeFromShape(weightsEntry.shape);
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var enqueueWeightsForFetchingFn = function () {
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groupIndicesToFetchMap[groupIndex] = true;
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if (groupWeightsToFetch[groupIndex] == null) {
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groupWeightsToFetch[groupIndex] = [];
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}
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groupWeightsToFetch[groupIndex].push({
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manifestEntry: weightsEntry,
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groupOffset: groupOffset,
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sizeBytes: weightsBytes
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});
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};
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if (weightNames != null) {
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weightNames.forEach(function (weightName, weightIndex) {
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if (weightName === weightsEntry.name) {
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enqueueWeightsForFetchingFn();
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weightsFound[weightIndex] = true;
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}
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});
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}
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else {
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enqueueWeightsForFetchingFn();
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}
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allManifestWeightNames.push(weightsEntry.name);
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groupOffset += weightsBytes;
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});
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});
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if (!weightsFound.every(function (found) { return found; })) {
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weightsNotFound = weightNames.filter(function (_, i) { return !weightsFound[i]; });
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throw new Error("Could not find weights in manifest with names: " +
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(weightsNotFound.join(', ') + ". \n") +
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"Manifest JSON has weights with names: " +
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(allManifestWeightNames.join(', ') + "."));
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}
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groupIndicesToFetch = groupIndicesToFetchMap.reduce(function (accumulator, shouldFetch, i) {
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if (shouldFetch) {
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accumulator.push(i);
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}
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return accumulator;
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}, []);
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fetchUrls = [];
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groupIndicesToFetch.forEach(function (i) {
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manifest[i].paths.forEach(function (filepath) {
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var fetchUrl = filePathPrefix +
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(!filePathPrefix.endsWith('/') ? '/' : '') + filepath;
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fetchUrls.push(fetchUrl);
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});
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});
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return [4 /*yield*/, fetchWeightsFunction(fetchUrls)];
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case 1:
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buffers = _a.sent();
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weightsTensorMap = {};
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bufferIndexOffset = 0;
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groupIndicesToFetch.forEach(function (i) {
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var numBuffers = manifest[i].paths.length;
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var groupBytes = 0;
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for (var i_1 = 0; i_1 < numBuffers; i_1++) {
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groupBytes += buffers[bufferIndexOffset + i_1].byteLength;
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}
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// Create a buffer for the whole group.
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var groupBuffer = new ArrayBuffer(groupBytes);
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var groupByteBuffer = new Uint8Array(groupBuffer);
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var groupBufferOffset = 0;
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for (var i_2 = 0; i_2 < numBuffers; i_2++) {
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var buffer = new Uint8Array(buffers[bufferIndexOffset + i_2]);
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groupByteBuffer.set(buffer, groupBufferOffset);
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groupBufferOffset += buffer.byteLength;
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}
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var weightsEntries = groupWeightsToFetch[i];
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weightsEntries.forEach(function (weightsEntry) {
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var byteBuffer = groupBuffer.slice(weightsEntry.groupOffset, weightsEntry.groupOffset + weightsEntry.sizeBytes);
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var nameToTensorMap = io_utils_1.decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);
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for (var name_1 in nameToTensorMap) {
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weightsTensorMap[name_1] = nameToTensorMap[name_1];
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}
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});
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bufferIndexOffset += numBuffers;
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});
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return [2 /*return*/, weightsTensorMap];
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}
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});
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});
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};
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}
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exports.weightsLoaderFactory = weightsLoaderFactory;
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//# sourceMappingURL=weights_loader.js.map
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