"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.");
|
while (_) try {
|
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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var _this = this;
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Object.defineProperty(exports, "__esModule", { value: true });
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var tf = require("../index");
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var jasmine_util_1 = require("../jasmine_util");
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var http_1 = require("./http");
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// Test data.
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var modelTopology1 = {
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'class_name': 'Sequential',
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'keras_version': '2.1.4',
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'config': [{
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'class_name': 'Dense',
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'config': {
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'kernel_initializer': {
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'class_name': 'VarianceScaling',
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'config': {
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'distribution': 'uniform',
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'scale': 1.0,
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'seed': null,
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'mode': 'fan_avg'
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}
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},
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'name': 'dense',
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'kernel_constraint': null,
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'bias_regularizer': null,
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'bias_constraint': null,
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'dtype': 'float32',
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'activation': 'linear',
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'trainable': true,
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'kernel_regularizer': null,
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'bias_initializer': { 'class_name': 'Zeros', 'config': {} },
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'units': 1,
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'batch_input_shape': [null, 3],
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'use_bias': true,
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'activity_regularizer': null
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}
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}],
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'backend': 'tensorflow'
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};
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var fetchSpy;
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var fakeResponse = function (body, contentType, path) {
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return ({
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ok: true,
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json: function () {
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return Promise.resolve(JSON.parse(body));
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},
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arrayBuffer: function () {
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var buf = body.buffer ?
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body.buffer :
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body;
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return Promise.resolve(buf);
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},
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headers: { get: function (key) { return contentType; } },
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url: path
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});
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};
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var setupFakeWeightFiles = function (fileBufferMap, requestInits) {
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fetchSpy = spyOn(tf.env().platform, 'fetch')
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.and.callFake(function (path, init) {
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if (fileBufferMap[path]) {
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requestInits[path] = init;
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return Promise.resolve(fakeResponse(fileBufferMap[path].data, fileBufferMap[path].contentType, path));
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}
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else {
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return Promise.reject('path not found');
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}
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});
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};
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jasmine_util_1.describeWithFlags('http-load fetch', jasmine_util_1.NODE_ENVS, function () {
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var requestInits;
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// tslint:disable-next-line:no-any
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var originalFetch;
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// simulate a fetch polyfill, this needs to be non-null for spyOn to work
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beforeEach(function () {
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// tslint:disable-next-line:no-any
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originalFetch = global.fetch;
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// tslint:disable-next-line:no-any
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global.fetch = function () { };
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requestInits = {};
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});
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afterAll(function () {
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// tslint:disable-next-line:no-any
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global.fetch = originalFetch;
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});
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it('1 group, 2 weights, 1 path', function () { return __awaiter(_this, void 0, void 0, function () {
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var weightManifest1, floatData, handler, modelArtifacts;
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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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weightManifest1 = [{
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paths: ['weightfile0'],
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weights: [
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{
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name: 'dense/kernel',
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shape: [3, 1],
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dtype: 'float32',
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},
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{
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name: 'dense/bias',
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shape: [2],
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dtype: 'float32',
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}
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]
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}];
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floatData = new Float32Array([1, 3, 3, 7, 4]);
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setupFakeWeightFiles({
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'./model.json': {
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data: JSON.stringify({
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modelTopology: modelTopology1,
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weightsManifest: weightManifest1,
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format: 'tfjs-layers',
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generatedBy: '1.15',
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convertedBy: '1.3.1',
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userDefinedMetadata: {}
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}),
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contentType: 'application/json'
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},
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'./weightfile0': { data: floatData, contentType: 'application/octet-stream' },
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}, requestInits);
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handler = tf.io.http('./model.json');
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return [4 /*yield*/, handler.load()];
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case 1:
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modelArtifacts = _a.sent();
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expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
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expect(modelArtifacts.weightSpecs).toEqual(weightManifest1[0].weights);
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expect(modelArtifacts.format).toEqual('tfjs-layers');
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expect(modelArtifacts.generatedBy).toEqual('1.15');
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expect(modelArtifacts.convertedBy).toEqual('1.3.1');
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expect(modelArtifacts.userDefinedMetadata).toEqual({});
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expect(new Float32Array(modelArtifacts.weightData)).toEqual(floatData);
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return [2 /*return*/];
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}
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});
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}); });
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it('throw exception if no fetch polyfill', function () {
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// tslint:disable-next-line:no-any
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delete global.fetch;
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try {
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tf.io.http('./model.json');
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}
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catch (err) {
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expect(err.message).toMatch(/Unable to find fetch polyfill./);
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}
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});
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});
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// Turned off for other browsers due to:
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// https://github.com/tensorflow/tfjs/issues/426
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jasmine_util_1.describeWithFlags('http-save', jasmine_util_1.CHROME_ENVS, function () {
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// Test data.
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var weightSpecs1 = [
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{
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name: 'dense/kernel',
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shape: [3, 1],
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dtype: 'float32',
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},
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{
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name: 'dense/bias',
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shape: [1],
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dtype: 'float32',
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}
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];
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var weightData1 = new ArrayBuffer(16);
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var artifacts1 = {
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modelTopology: modelTopology1,
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weightSpecs: weightSpecs1,
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weightData: weightData1,
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format: 'layers-model',
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generatedBy: 'TensorFlow.js v0.0.0',
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convertedBy: null
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};
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var requestInits = [];
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beforeEach(function () {
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requestInits = [];
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spyOn(tf.env().platform, 'fetch')
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.and.callFake(function (path, init) {
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if (path === 'model-upload-test' ||
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path === 'http://model-upload-test') {
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requestInits.push(init);
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return Promise.resolve(new Response(null, { status: 200 }));
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}
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else {
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return Promise.reject(new Response(null, { status: 404 }));
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}
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});
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});
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it('Save topology and weights, default POST method', function (done) {
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var testStartDate = new Date();
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var handler = tf.io.getSaveHandlers('http://model-upload-test')[0];
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handler.save(artifacts1)
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.then(function (saveResult) {
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expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
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.toBeGreaterThanOrEqual(testStartDate.getTime());
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// Note: The following two assertions work only because there is no
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// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
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expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
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.toEqual(JSON.stringify(modelTopology1).length);
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expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
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.toEqual(JSON.stringify(weightSpecs1).length);
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expect(saveResult.modelArtifactsInfo.weightDataBytes)
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.toEqual(weightData1.byteLength);
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expect(requestInits.length).toEqual(1);
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var init = requestInits[0];
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expect(init.method).toEqual('POST');
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var body = init.body;
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var jsonFile = body.get('model.json');
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var jsonFileReader = new FileReader();
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jsonFileReader.onload = function (event) {
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// tslint:disable-next-line:no-any
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var modelJSON = JSON.parse(event.target.result);
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expect(modelJSON.modelTopology).toEqual(modelTopology1);
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expect(modelJSON.weightsManifest.length).toEqual(1);
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expect(modelJSON.weightsManifest[0].weights).toEqual(weightSpecs1);
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var weightsFile = body.get('model.weights.bin');
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var weightsFileReader = new FileReader();
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weightsFileReader.onload = function (event) {
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// tslint:disable-next-line:no-any
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var weightData = event.target.result;
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expect(new Uint8Array(weightData))
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.toEqual(new Uint8Array(weightData1));
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done();
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};
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weightsFileReader.onerror = function (ev) {
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done.fail(weightsFileReader.error.message);
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};
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weightsFileReader.readAsArrayBuffer(weightsFile);
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};
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jsonFileReader.onerror = function (ev) {
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done.fail(jsonFileReader.error.message);
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};
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jsonFileReader.readAsText(jsonFile);
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})
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.catch(function (err) {
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done.fail(err.stack);
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});
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});
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it('Save topology only, default POST method', function (done) {
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var testStartDate = new Date();
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var handler = tf.io.getSaveHandlers('http://model-upload-test')[0];
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var topologyOnlyArtifacts = { modelTopology: modelTopology1 };
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handler.save(topologyOnlyArtifacts)
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.then(function (saveResult) {
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expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
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.toBeGreaterThanOrEqual(testStartDate.getTime());
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// Note: The following two assertions work only because there is no
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// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
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expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
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.toEqual(JSON.stringify(modelTopology1).length);
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expect(saveResult.modelArtifactsInfo.weightSpecsBytes).toEqual(0);
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expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(0);
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expect(requestInits.length).toEqual(1);
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var init = requestInits[0];
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expect(init.method).toEqual('POST');
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var body = init.body;
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var jsonFile = body.get('model.json');
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var jsonFileReader = new FileReader();
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jsonFileReader.onload = function (event) {
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// tslint:disable-next-line:no-any
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var modelJSON = JSON.parse(event.target.result);
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expect(modelJSON.modelTopology).toEqual(modelTopology1);
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// No weights should have been sent to the server.
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expect(body.get('model.weights.bin')).toEqual(null);
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done();
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};
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jsonFileReader.onerror = function (event) {
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done.fail(jsonFileReader.error.message);
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};
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jsonFileReader.readAsText(jsonFile);
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})
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.catch(function (err) {
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done.fail(err.stack);
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});
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});
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it('Save topology and weights, PUT method, extra headers', function (done) {
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var testStartDate = new Date();
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var handler = tf.io.http('model-upload-test', {
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requestInit: {
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method: 'PUT',
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headers: { 'header_key_1': 'header_value_1', 'header_key_2': 'header_value_2' }
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}
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});
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handler.save(artifacts1)
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.then(function (saveResult) {
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expect(saveResult.modelArtifactsInfo.dateSaved.getTime())
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.toBeGreaterThanOrEqual(testStartDate.getTime());
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// Note: The following two assertions work only because there is no
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// non-ASCII characters in `modelTopology1` and `weightSpecs1`.
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expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
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.toEqual(JSON.stringify(modelTopology1).length);
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expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
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.toEqual(JSON.stringify(weightSpecs1).length);
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expect(saveResult.modelArtifactsInfo.weightDataBytes)
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.toEqual(weightData1.byteLength);
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expect(requestInits.length).toEqual(1);
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var init = requestInits[0];
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expect(init.method).toEqual('PUT');
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// Check headers.
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expect(init.headers).toEqual({
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'header_key_1': 'header_value_1',
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'header_key_2': 'header_value_2'
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});
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var body = init.body;
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var jsonFile = body.get('model.json');
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var jsonFileReader = new FileReader();
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jsonFileReader.onload = function (event) {
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// tslint:disable-next-line:no-any
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var modelJSON = JSON.parse(event.target.result);
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expect(modelJSON.format).toEqual('layers-model');
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expect(modelJSON.generatedBy).toEqual('TensorFlow.js v0.0.0');
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expect(modelJSON.convertedBy).toEqual(null);
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expect(modelJSON.modelTopology).toEqual(modelTopology1);
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expect(modelJSON.weightsManifest.length).toEqual(1);
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expect(modelJSON.weightsManifest[0].weights).toEqual(weightSpecs1);
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var weightsFile = body.get('model.weights.bin');
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var weightsFileReader = new FileReader();
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weightsFileReader.onload = function (event) {
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// tslint:disable-next-line:no-any
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var weightData = event.target.result;
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expect(new Uint8Array(weightData))
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.toEqual(new Uint8Array(weightData1));
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done();
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};
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weightsFileReader.onerror = function (event) {
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done.fail(weightsFileReader.error.message);
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};
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weightsFileReader.readAsArrayBuffer(weightsFile);
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};
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jsonFileReader.onerror = function (event) {
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done.fail(jsonFileReader.error.message);
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};
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jsonFileReader.readAsText(jsonFile);
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})
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.catch(function (err) {
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done.fail(err.stack);
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});
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});
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it('404 response causes Error', function (done) {
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var handler = tf.io.getSaveHandlers('http://invalid/path')[0];
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handler.save(artifacts1)
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.then(function (saveResult) {
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done.fail('Calling http at invalid URL succeeded ' +
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'unexpectedly');
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})
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.catch(function (err) {
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done();
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});
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});
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it('getLoadHandlers with one URL string', function () {
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var handlers = tf.io.getLoadHandlers('http://foo/model.json');
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expect(handlers.length).toEqual(1);
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expect(handlers[0] instanceof http_1.HTTPRequest).toEqual(true);
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});
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it('Existing body leads to Error', function () {
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expect(function () { return tf.io.http('model-upload-test', {
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requestInit: { body: 'existing body' }
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}); }).toThrowError(/requestInit is expected to have no pre-existing body/);
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});
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it('Empty, null or undefined URL paths lead to Error', function () {
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expect(function () { return tf.io.http(null); })
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.toThrowError(/must not be null, undefined or empty/);
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expect(function () { return tf.io.http(undefined); })
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.toThrowError(/must not be null, undefined or empty/);
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expect(function () { return tf.io.http(''); })
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.toThrowError(/must not be null, undefined or empty/);
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});
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it('router', function () {
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expect(http_1.httpRouter('http://bar/foo') instanceof http_1.HTTPRequest).toEqual(true);
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expect(http_1.httpRouter('https://localhost:5000/upload') instanceof http_1.HTTPRequest)
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.toEqual(true);
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expect(http_1.httpRouter('localhost://foo')).toBeNull();
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expect(http_1.httpRouter('foo:5000/bar')).toBeNull();
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});
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});
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jasmine_util_1.describeWithFlags('parseUrl', jasmine_util_1.BROWSER_ENVS, function () {
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it('should parse url with no suffix', function () {
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var url = 'http://google.com/file';
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var _a = http_1.parseUrl(url), prefix = _a[0], suffix = _a[1];
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expect(prefix).toEqual('http://google.com/');
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expect(suffix).toEqual('');
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});
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it('should parse url with suffix', function () {
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var url = 'http://google.com/file?param=1';
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var _a = http_1.parseUrl(url), prefix = _a[0], suffix = _a[1];
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expect(prefix).toEqual('http://google.com/');
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expect(suffix).toEqual('?param=1');
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});
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it('should parse url with multiple serach params', function () {
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var url = 'http://google.com/a?x=1/file?param=1';
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var _a = http_1.parseUrl(url), prefix = _a[0], suffix = _a[1];
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expect(prefix).toEqual('http://google.com/a?x=1/');
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expect(suffix).toEqual('?param=1');
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});
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});
|
jasmine_util_1.describeWithFlags('http-load', jasmine_util_1.BROWSER_ENVS, function () {
|
describe('JSON model', function () {
|
var requestInits;
|
beforeEach(function () {
|
requestInits = {};
|
});
|
it('1 group, 2 weights, 1 path', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightManifest1, floatData, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightManifest1 = [{
|
paths: ['weightfile0'],
|
weights: [
|
{
|
name: 'dense/kernel',
|
shape: [3, 1],
|
dtype: 'float32',
|
},
|
{
|
name: 'dense/bias',
|
shape: [2],
|
dtype: 'float32',
|
}
|
]
|
}];
|
floatData = new Float32Array([1, 3, 3, 7, 4]);
|
setupFakeWeightFiles({
|
'./model.json': {
|
data: JSON.stringify({
|
modelTopology: modelTopology1,
|
weightsManifest: weightManifest1,
|
format: 'tfjs-graph-model',
|
generatedBy: '1.15',
|
convertedBy: '1.3.1',
|
userDefinedMetadata: {}
|
}),
|
contentType: 'application/json'
|
},
|
'./weightfile0': { data: floatData, contentType: 'application/octet-stream' },
|
}, requestInits);
|
handler = tf.io.http('./model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs).toEqual(weightManifest1[0].weights);
|
expect(modelArtifacts.format).toEqual('tfjs-graph-model');
|
expect(modelArtifacts.generatedBy).toEqual('1.15');
|
expect(modelArtifacts.convertedBy).toEqual('1.3.1');
|
expect(modelArtifacts.userDefinedMetadata).toEqual({});
|
expect(new Float32Array(modelArtifacts.weightData)).toEqual(floatData);
|
expect(Object.keys(requestInits).length).toEqual(2);
|
// Assert that fetch is invoked with `window` as the context.
|
expect(fetchSpy.calls.mostRecent().object).toEqual(window);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('1 group, 2 weights, 1 path, with requestInit', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightManifest1, floatData, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightManifest1 = [{
|
paths: ['weightfile0'],
|
weights: [
|
{
|
name: 'dense/kernel',
|
shape: [3, 1],
|
dtype: 'float32',
|
},
|
{
|
name: 'dense/bias',
|
shape: [2],
|
dtype: 'float32',
|
}
|
]
|
}];
|
floatData = new Float32Array([1, 3, 3, 7, 4]);
|
setupFakeWeightFiles({
|
'./model.json': {
|
data: JSON.stringify({
|
modelTopology: modelTopology1,
|
weightsManifest: weightManifest1
|
}),
|
contentType: 'application/json'
|
},
|
'./weightfile0': { data: floatData, contentType: 'application/octet-stream' },
|
}, requestInits);
|
handler = tf.io.http('./model.json', { requestInit: { headers: { 'header_key_1': 'header_value_1' } } });
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs).toEqual(weightManifest1[0].weights);
|
expect(new Float32Array(modelArtifacts.weightData)).toEqual(floatData);
|
expect(Object.keys(requestInits).length).toEqual(2);
|
expect(Object.keys(requestInits).length).toEqual(2);
|
expect(requestInits['./model.json'].headers['header_key_1'])
|
.toEqual('header_value_1');
|
expect(requestInits['./weightfile0'].headers['header_key_1'])
|
.toEqual('header_value_1');
|
expect(fetchSpy.calls.mostRecent().object).toEqual(window);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('1 group, 2 weight, 2 paths', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightManifest1, floatData1, floatData2, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightManifest1 = [{
|
paths: ['weightfile0', 'weightfile1'],
|
weights: [
|
{
|
name: 'dense/kernel',
|
shape: [3, 1],
|
dtype: 'float32',
|
},
|
{
|
name: 'dense/bias',
|
shape: [2],
|
dtype: 'float32',
|
}
|
]
|
}];
|
floatData1 = new Float32Array([1, 3, 3]);
|
floatData2 = new Float32Array([7, 4]);
|
setupFakeWeightFiles({
|
'./model.json': {
|
data: JSON.stringify({
|
modelTopology: modelTopology1,
|
weightsManifest: weightManifest1
|
}),
|
contentType: 'application/json'
|
},
|
'./weightfile0': { data: floatData1, contentType: 'application/octet-stream' },
|
'./weightfile1': { data: floatData2, contentType: 'application/octet-stream' }
|
}, requestInits);
|
handler = tf.io.http('./model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs).toEqual(weightManifest1[0].weights);
|
expect(new Float32Array(modelArtifacts.weightData))
|
.toEqual(new Float32Array([1, 3, 3, 7, 4]));
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('2 groups, 2 weight, 2 paths', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightsManifest, floatData1, floatData2, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightsManifest = [
|
{
|
paths: ['weightfile0'],
|
weights: [{
|
name: 'dense/kernel',
|
shape: [3, 1],
|
dtype: 'float32',
|
}]
|
},
|
{
|
paths: ['weightfile1'],
|
weights: [{
|
name: 'dense/bias',
|
shape: [2],
|
dtype: 'float32',
|
}],
|
}
|
];
|
floatData1 = new Float32Array([1, 3, 3]);
|
floatData2 = new Float32Array([7, 4]);
|
setupFakeWeightFiles({
|
'./model.json': {
|
data: JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightsManifest }),
|
contentType: 'application/json'
|
},
|
'./weightfile0': { data: floatData1, contentType: 'application/octet-stream' },
|
'./weightfile1': { data: floatData2, contentType: 'application/octet-stream' }
|
}, requestInits);
|
handler = tf.io.http('./model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs)
|
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
|
expect(new Float32Array(modelArtifacts.weightData))
|
.toEqual(new Float32Array([1, 3, 3, 7, 4]));
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('2 groups, 2 weight, 2 paths, Int32 and Uint8 Data', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightsManifest, floatData1, floatData2, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightsManifest = [
|
{
|
paths: ['weightfile0'],
|
weights: [{
|
name: 'fooWeight',
|
shape: [3, 1],
|
dtype: 'int32',
|
}]
|
},
|
{
|
paths: ['weightfile1'],
|
weights: [{
|
name: 'barWeight',
|
shape: [2],
|
dtype: 'bool',
|
}],
|
}
|
];
|
floatData1 = new Int32Array([1, 3, 3]);
|
floatData2 = new Uint8Array([7, 4]);
|
setupFakeWeightFiles({
|
'path1/model.json': {
|
data: JSON.stringify({ modelTopology: modelTopology1, weightsManifest: weightsManifest }),
|
contentType: 'application/json'
|
},
|
'path1/weightfile0': { data: floatData1, contentType: 'application/octet-stream' },
|
'path1/weightfile1': { data: floatData2, contentType: 'application/octet-stream' }
|
}, requestInits);
|
handler = tf.io.http('path1/model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs)
|
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
|
expect(new Int32Array(modelArtifacts.weightData.slice(0, 12)))
|
.toEqual(new Int32Array([1, 3, 3]));
|
expect(new Uint8Array(modelArtifacts.weightData.slice(12, 14)))
|
.toEqual(new Uint8Array([7, 4]));
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('topology only', function () { return __awaiter(_this, void 0, void 0, function () {
|
var handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
setupFakeWeightFiles({
|
'./model.json': {
|
data: JSON.stringify({ modelTopology: modelTopology1 }),
|
contentType: 'application/json'
|
},
|
}, requestInits);
|
handler = tf.io.http('./model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs).toBeUndefined();
|
expect(modelArtifacts.weightData).toBeUndefined();
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('weights only', function () { return __awaiter(_this, void 0, void 0, function () {
|
var weightsManifest, floatData1, floatData2, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightsManifest = [
|
{
|
paths: ['weightfile0'],
|
weights: [{
|
name: 'fooWeight',
|
shape: [3, 1],
|
dtype: 'int32',
|
}]
|
},
|
{
|
paths: ['weightfile1'],
|
weights: [{
|
name: 'barWeight',
|
shape: [2],
|
dtype: 'float32',
|
}],
|
}
|
];
|
floatData1 = new Int32Array([1, 3, 3]);
|
floatData2 = new Float32Array([-7, -4]);
|
setupFakeWeightFiles({
|
'path1/model.json': {
|
data: JSON.stringify({ weightsManifest: weightsManifest }),
|
contentType: 'application/json'
|
},
|
'path1/weightfile0': { data: floatData1, contentType: 'application/octet-stream' },
|
'path1/weightfile1': { data: floatData2, contentType: 'application/octet-stream' }
|
}, requestInits);
|
handler = tf.io.http('path1/model.json');
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toBeUndefined();
|
expect(modelArtifacts.weightSpecs)
|
.toEqual(weightsManifest[0].weights.concat(weightsManifest[1].weights));
|
expect(new Int32Array(modelArtifacts.weightData.slice(0, 12)))
|
.toEqual(new Int32Array([1, 3, 3]));
|
expect(new Float32Array(modelArtifacts.weightData.slice(12, 20)))
|
.toEqual(new Float32Array([-7, -4]));
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('Missing modelTopology and weightsManifest leads to error', function (done) { return __awaiter(_this, void 0, void 0, function () {
|
var handler;
|
return __generator(this, function (_a) {
|
setupFakeWeightFiles({
|
'path1/model.json': { data: JSON.stringify({}), contentType: 'application/json' }
|
}, requestInits);
|
handler = tf.io.http('path1/model.json');
|
handler.load()
|
.then(function (modelTopology1) {
|
done.fail('Loading from missing modelTopology and weightsManifest ' +
|
'succeeded unexpectedly.');
|
})
|
.catch(function (err) {
|
expect(err.message)
|
.toMatch(/contains neither model topology or manifest/);
|
done();
|
});
|
return [2 /*return*/];
|
});
|
}); });
|
it('with fetch rejection leads to error', function (done) { return __awaiter(_this, void 0, void 0, function () {
|
var handler, data, err_1;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
setupFakeWeightFiles({
|
'path1/model.json': { data: JSON.stringify({}), contentType: 'text/html' }
|
}, requestInits);
|
handler = tf.io.http('path2/model.json');
|
_a.label = 1;
|
case 1:
|
_a.trys.push([1, 3, , 4]);
|
return [4 /*yield*/, handler.load()];
|
case 2:
|
data = _a.sent();
|
expect(data).toBeDefined();
|
done.fail('Loading with fetch rejection succeeded unexpectedly.');
|
return [3 /*break*/, 4];
|
case 3:
|
err_1 = _a.sent();
|
done();
|
return [3 /*break*/, 4];
|
case 4: return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
it('Overriding BrowserHTTPRequest fetchFunc', function () { return __awaiter(_this, void 0, void 0, function () {
|
function customFetch(input, init) {
|
return __awaiter(this, void 0, void 0, function () {
|
return __generator(this, function (_a) {
|
fetchInputs.push(input);
|
fetchInits.push(init);
|
if (input === './model.json') {
|
return [2 /*return*/, new Response(JSON.stringify({
|
modelTopology: modelTopology1,
|
weightsManifest: weightManifest1
|
}), { status: 200, headers: { 'content-type': 'application/json' } })];
|
}
|
else if (input === './weightfile0') {
|
return [2 /*return*/, new Response(floatData, {
|
status: 200,
|
headers: { 'content-type': 'application/octet-stream' }
|
})];
|
}
|
else {
|
return [2 /*return*/, new Response(null, { status: 404 })];
|
}
|
return [2 /*return*/];
|
});
|
});
|
}
|
var weightManifest1, floatData, fetchInputs, fetchInits, handler, modelArtifacts;
|
return __generator(this, function (_a) {
|
switch (_a.label) {
|
case 0:
|
weightManifest1 = [{
|
paths: ['weightfile0'],
|
weights: [
|
{
|
name: 'dense/kernel',
|
shape: [3, 1],
|
dtype: 'float32',
|
},
|
{
|
name: 'dense/bias',
|
shape: [2],
|
dtype: 'float32',
|
}
|
]
|
}];
|
floatData = new Float32Array([1, 3, 3, 7, 4]);
|
fetchInputs = [];
|
fetchInits = [];
|
handler = tf.io.http('./model.json', { requestInit: { credentials: 'include' }, fetchFunc: customFetch });
|
return [4 /*yield*/, handler.load()];
|
case 1:
|
modelArtifacts = _a.sent();
|
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
|
expect(modelArtifacts.weightSpecs).toEqual(weightManifest1[0].weights);
|
expect(new Float32Array(modelArtifacts.weightData)).toEqual(floatData);
|
expect(fetchInputs).toEqual(['./model.json', './weightfile0']);
|
expect(fetchInits.length).toEqual(2);
|
expect(fetchInits[0].credentials).toEqual('include');
|
expect(fetchInits[1].credentials).toEqual('include');
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
//# sourceMappingURL=http_test.js.map
|
