@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
"use strict";
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* 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.
* =============================================================================
*/
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
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;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
var _this = this;
Object.defineProperty(exports, "__esModule", { value: true });
/**
* Unit tests for file-related IOHandlers.
*/
var tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
var browser_files_1 = require("./browser_files");
var modelTopology1 = {
'class_name': 'Sequential',
'keras_version': '2.1.4',
'config': [{
'class_name': 'Dense',
'config': {
'kernel_initializer': {
'class_name': 'VarianceScaling',
'config': {
'distribution': 'uniform',
'scale': 1.0,
'seed': null,
'mode': 'fan_avg'
}
},
'name': 'dense',
'kernel_constraint': null,
'bias_regularizer': null,
'bias_constraint': null,
'dtype': 'float32',
'activation': 'linear',
'trainable': true,
'kernel_regularizer': null,
'bias_initializer': { 'class_name': 'Zeros', 'config': {} },
'units': 1,
'batch_input_shape': [null, 3],
'use_bias': true,
'activity_regularizer': null
}
}],
'backend': 'tensorflow'
};
var weightSpecs1 = [
{
name: 'dense/kernel',
shape: [3, 1],
dtype: 'float32',
},
{
name: 'dense/bias',
shape: [1],
dtype: 'float32',
}
];
var weightData1 = new ArrayBuffer(16);
var artifacts1 = {
modelTopology: modelTopology1,
weightSpecs: weightSpecs1,
weightData: weightData1,
format: 'layers-model',
generatedBy: 'TensorFlow.js v0.0.0',
convertedBy: null,
userDefinedMetadata: {}
};
jasmine_util_1.describeWithFlags('browserDownloads', jasmine_util_1.BROWSER_ENVS, function () {
var FakeHTMLAnchorElement = /** @class */ (function () {
function FakeHTMLAnchorElement() {
this.clicked = 0;
}
FakeHTMLAnchorElement.prototype.dispatchEvent = function () {
this.clicked++;
};
return FakeHTMLAnchorElement;
}());
var fakeAnchors = [];
var fakeAnchorCount = 0;
beforeEach(function () {
fakeAnchorCount = 0;
fakeAnchors = [new FakeHTMLAnchorElement(), new FakeHTMLAnchorElement()];
spyOn(document, 'createElement').and.callFake(function (tag) {
return fakeAnchors[fakeAnchorCount++];
});
});
it('Explicit file name prefix, with existing anchors', function () { return __awaiter(_this, void 0, void 0, function () {
var testStartDate, downloadTrigger, saveResult, artifactsInfo, jsonAnchor, weightDataAnchor, jsonContent, modelTopologyAndWeightsManifest, _a, _b, weightsManifest, response, buffer;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
testStartDate = new Date();
downloadTrigger = tf.io.getSaveHandlers('downloads://test-model')[0];
return [4 /*yield*/, downloadTrigger.save(artifacts1)];
case 1:
saveResult = _c.sent();
expect(saveResult.errors).toEqual(undefined);
artifactsInfo = saveResult.modelArtifactsInfo;
expect(artifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(16);
jsonAnchor = fakeAnchors[0];
weightDataAnchor = fakeAnchors[1];
expect(jsonAnchor.download).toEqual('test-model.json');
expect(weightDataAnchor.download).toEqual('test-model.weights.bin');
return [4 /*yield*/, fetch(jsonAnchor.href)];
case 2:
jsonContent = _c.sent();
_b = (_a = JSON).parse;
return [4 /*yield*/, jsonContent.text()];
case 3:
modelTopologyAndWeightsManifest = _b.apply(_a, [_c.sent()]);
expect(modelTopologyAndWeightsManifest.modelTopology)
.toEqual(modelTopology1);
expect(modelTopologyAndWeightsManifest.format).toEqual('layers-model');
expect(modelTopologyAndWeightsManifest.generatedBy)
.toEqual('TensorFlow.js v0.0.0');
expect(modelTopologyAndWeightsManifest.convertedBy).toEqual(null);
weightsManifest = modelTopologyAndWeightsManifest.weightsManifest;
expect(weightsManifest.length).toEqual(1);
expect(weightsManifest[0].paths).toEqual(['./test-model.weights.bin']);
expect(weightsManifest[0].weights).toEqual(weightSpecs1);
return [4 /*yield*/, fetch(weightDataAnchor.href)];
case 4:
response = _c.sent();
return [4 /*yield*/, response.arrayBuffer()];
case 5:
buffer = _c.sent();
expect(buffer).toEqual(weightData1);
// Verify that the downloads are triggered through clicks.
expect(jsonAnchor.clicked).toEqual(1);
expect(weightDataAnchor.clicked).toEqual(1);
return [2 /*return*/];
}
});
}); });
it('URL scheme in explicit name gets stripped', function () { return __awaiter(_this, void 0, void 0, function () {
var testStartDate, downloadTrigger, saveResult, artifactsInfo, jsonAnchor, weightDataAnchor, jsonContent, modelTopologyAndWeightsManifest, _a, _b, weightsManifest, response, buffer;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
testStartDate = new Date();
downloadTrigger = browser_files_1.browserDownloads('downloads://test-model');
return [4 /*yield*/, downloadTrigger.save(artifacts1)];
case 1:
saveResult = _c.sent();
expect(saveResult.errors).toEqual(undefined);
artifactsInfo = saveResult.modelArtifactsInfo;
expect(artifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(16);
jsonAnchor = fakeAnchors[0];
weightDataAnchor = fakeAnchors[1];
expect(jsonAnchor.download).toEqual('test-model.json');
expect(weightDataAnchor.download).toEqual('test-model.weights.bin');
return [4 /*yield*/, fetch(jsonAnchor.href)];
case 2:
jsonContent = _c.sent();
_b = (_a = JSON).parse;
return [4 /*yield*/, jsonContent.text()];
case 3:
modelTopologyAndWeightsManifest = _b.apply(_a, [_c.sent()]);
expect(modelTopologyAndWeightsManifest.modelTopology)
.toEqual(modelTopology1);
weightsManifest = modelTopologyAndWeightsManifest.weightsManifest;
expect(weightsManifest.length).toEqual(1);
expect(weightsManifest[0].paths).toEqual(['./test-model.weights.bin']);
expect(weightsManifest[0].weights).toEqual(weightSpecs1);
return [4 /*yield*/, fetch(weightDataAnchor.href)];
case 4:
response = _c.sent();
return [4 /*yield*/, response.arrayBuffer()];
case 5:
buffer = _c.sent();
expect(buffer).toEqual(weightData1);
// Verify that the downloads are triggered through clicks.
expect(jsonAnchor.clicked).toEqual(1);
expect(weightDataAnchor.clicked).toEqual(1);
return [2 /*return*/];
}
});
}); });
it('No file name provided, with existing anchors', function () { return __awaiter(_this, void 0, void 0, function () {
var testStartDate, downloadTrigger, saveResult, artifactsInfo, jsonAnchor, weightDataAnchor, jsonContent, modelTopologyAndWeightsManifest, _a, _b, weightsManifest, response, buffer;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
testStartDate = new Date();
downloadTrigger = browser_files_1.browserDownloads();
return [4 /*yield*/, downloadTrigger.save(artifacts1)];
case 1:
saveResult = _c.sent();
expect(saveResult.errors).toEqual(undefined);
artifactsInfo = saveResult.modelArtifactsInfo;
expect(artifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes)
.toEqual(JSON.stringify(weightSpecs1).length);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(16);
jsonAnchor = fakeAnchors[0];
weightDataAnchor = fakeAnchors[1];
// Verify that the default file names are used.
expect(jsonAnchor.download).toEqual('model.json');
expect(weightDataAnchor.download).toEqual('model.weights.bin');
return [4 /*yield*/, fetch(jsonAnchor.href)];
case 2:
jsonContent = _c.sent();
_b = (_a = JSON).parse;
return [4 /*yield*/, jsonContent.text()];
case 3:
modelTopologyAndWeightsManifest = _b.apply(_a, [_c.sent()]);
expect(modelTopologyAndWeightsManifest.modelTopology)
.toEqual(modelTopology1);
weightsManifest = modelTopologyAndWeightsManifest.weightsManifest;
expect(weightsManifest.length).toEqual(1);
expect(weightsManifest[0].paths).toEqual(['./model.weights.bin']);
expect(weightsManifest[0].weights).toEqual(weightSpecs1);
return [4 /*yield*/, fetch(weightDataAnchor.href)];
case 4:
response = _c.sent();
return [4 /*yield*/, response.arrayBuffer()];
case 5:
buffer = _c.sent();
expect(buffer).toEqual(weightData1);
return [2 /*return*/];
}
});
}); });
it('Download only model topology', function () { return __awaiter(_this, void 0, void 0, function () {
var testStartDate, downloadTrigger, modelTopologyOnlyArtifacts, saveResult, artifactsInfo, jsonAnchor, weightDataAnchor, jsonContent, modelTopologyAndWeightsManifest, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
testStartDate = new Date();
downloadTrigger = browser_files_1.browserDownloads();
modelTopologyOnlyArtifacts = {
modelTopology: modelTopology1,
};
return [4 /*yield*/, downloadTrigger.save(modelTopologyOnlyArtifacts)];
case 1:
saveResult = _c.sent();
expect(saveResult.errors).toEqual(undefined);
artifactsInfo = saveResult.modelArtifactsInfo;
expect(artifactsInfo.dateSaved.getTime())
.toBeGreaterThanOrEqual(testStartDate.getTime());
expect(saveResult.modelArtifactsInfo.modelTopologyBytes)
.toEqual(JSON.stringify(modelTopology1).length);
expect(saveResult.modelArtifactsInfo.weightSpecsBytes).toEqual(0);
expect(saveResult.modelArtifactsInfo.weightDataBytes).toEqual(0);
jsonAnchor = fakeAnchors[0];
weightDataAnchor = fakeAnchors[1];
// Verify that the default file names are used.
expect(jsonAnchor.download).toEqual('model.json');
expect(jsonAnchor.clicked).toEqual(1);
// The weight file should not have been downoaded.
expect(weightDataAnchor.download).toEqual(undefined);
expect(weightDataAnchor.clicked).toEqual(0);
return [4 /*yield*/, fetch(jsonAnchor.href)];
case 2:
jsonContent = _c.sent();
_b = (_a = JSON).parse;
return [4 /*yield*/, jsonContent.text()];
case 3:
modelTopologyAndWeightsManifest = _b.apply(_a, [_c.sent()]);
expect(modelTopologyAndWeightsManifest.modelTopology)
.toEqual(modelTopology1);
return [2 /*return*/];
}
});
}); });
it('browserDownloadsRouter', function () {
expect(browser_files_1.browserDownloadsRouter('downloads://foo') instanceof browser_files_1.BrowserDownloads)
.toEqual(true);
expect(browser_files_1.browserDownloadsRouter('invaliddownloads://foo')).toBeNull();
expect(browser_files_1.browserDownloadsRouter('foo')).toBeNull();
});
});
jasmine_util_1.describeWithFlags('browserFiles', jasmine_util_1.BROWSER_ENVS, function () {
var weightsFile = new File([weightData1], 'model.weights.bin', { type: 'application/octet-stream' });
it('One group, one path', function () { return __awaiter(_this, void 0, void 0, function () {
var weightsManifest, weightsTopologyAndManifest, jsonFile, filesHandler, modelArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightsManifest = [{
paths: ['./model.weights.bin'],
weights: weightSpecs1,
}];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
format: 'layers-model',
generatedBy: 'TensorFlow.js v0.0.0',
convertedBy: '1.13.1',
userDefinedMetadata: {}
};
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile]);
return [4 /*yield*/, filesHandler.load()];
case 1:
modelArtifacts = _a.sent();
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs).toEqual(weightSpecs1);
expect(modelArtifacts.format).toEqual('layers-model');
expect(modelArtifacts.generatedBy).toEqual('TensorFlow.js v0.0.0');
expect(modelArtifacts.convertedBy).toEqual('1.13.1');
expect(modelArtifacts.userDefinedMetadata).toEqual({});
expect(new Uint8Array(modelArtifacts.weightData))
.toEqual(new Uint8Array(weightData1));
return [2 /*return*/];
}
});
}); });
it("One group, two paths", function () { return __awaiter(_this, void 0, void 0, function () {
var weightSpecs, weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, jsonFile, filesHandler, modelArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightSpecs = [
{
name: 'foo',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'bar',
shape: [1, 1],
dtype: 'float32',
}
];
weightsManifest = [{
paths: ['./dir1/model.weights.1.bin', './dir2/model.weights.2.bin'],
weights: weightSpecs,
}];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 2, 3, 4]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 20, 30, 40]).buffer], 'model.weights.2.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile1, weightsFile2]);
return [4 /*yield*/, filesHandler.load()];
case 1:
modelArtifacts = _a.sent();
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs).toEqual(weightSpecs);
expect(new Uint8Array(modelArtifacts.weightData)).toEqual(new Uint8Array([
1, 2, 3, 4, 10, 20, 30, 40
]));
return [2 /*return*/];
}
});
}); });
it("Two groups, four paths, reverseOrder=false", function () { return __awaiter(_this, void 0, void 0, function () {
var weightSpecs1, weightSpecs2, weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, weightsFile3, weightsFile4, jsonFile, filesHandler, modelArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightSpecs1 = [
{
name: 'foo',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'bar',
shape: [1, 1],
dtype: 'float32',
}
];
weightSpecs2 = [
{
name: 'baz',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'qux',
shape: [1, 1],
dtype: 'float32',
}
];
weightsManifest = [
{
paths: ['./model.weights.1.bin', './model.weights.2.bin'],
weights: weightSpecs1,
},
{
paths: ['./model.weights.3.bin', './model.weights.4.bin'],
weights: weightSpecs2,
}
];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 3, 5, 7]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 30, 50, 70]).buffer], 'model.weights.2.bin', { type: 'application/octet-stream' });
weightsFile3 = new File([new Uint8Array([2, 4, 6, 8]).buffer], 'model.weights.3.bin', { type: 'application/octet-stream' });
weightsFile4 = new File([new Uint8Array([20, 40, 60, 80]).buffer], 'model.weights.4.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile1, weightsFile2, weightsFile3, weightsFile4]);
return [4 /*yield*/, filesHandler.load()];
case 1:
modelArtifacts = _a.sent();
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightSpecs1.concat(weightSpecs2));
expect(new Uint8Array(modelArtifacts.weightData)).toEqual(new Uint8Array([
1, 3, 5, 7, 10, 30, 50, 70, 2, 4, 6, 8, 20, 40, 60, 80
]));
return [2 /*return*/];
}
});
}); });
it("Two groups, four paths, reverseOrder=true", function () { return __awaiter(_this, void 0, void 0, function () {
var weightSpecs1, weightSpecs2, weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, weightsFile3, weightsFile4, jsonFile, filesHandler, modelArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightSpecs1 = [
{
name: 'foo',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'bar',
shape: [1, 1],
dtype: 'float32',
}
];
weightSpecs2 = [
{
name: 'baz',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'qux',
shape: [1, 1],
dtype: 'float32',
}
];
weightsManifest = [
{
paths: ['./model.weights.1.bin', './model.weights.2.bin'],
weights: weightSpecs1,
},
{
paths: ['./model.weights.3.bin', './model.weights.4.bin'],
weights: weightSpecs2,
}
];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 3, 5, 7]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 30, 50, 70]).buffer], 'model.weights.2.bin', { type: 'application/octet-stream' });
weightsFile3 = new File([new Uint8Array([2, 4, 6, 8]).buffer], 'model.weights.3.bin', { type: 'application/octet-stream' });
weightsFile4 = new File([new Uint8Array([20, 40, 60, 80]).buffer], 'model.weights.4.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile4, weightsFile3, weightsFile2, weightsFile1]);
return [4 /*yield*/, filesHandler.load()];
case 1:
modelArtifacts = _a.sent();
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs)
.toEqual(weightSpecs1.concat(weightSpecs2));
expect(new Uint8Array(modelArtifacts.weightData)).toEqual(new Uint8Array([
1, 3, 5, 7, 10, 30, 50, 70, 2, 4, 6, 8, 20, 40, 60, 80
]));
return [2 /*return*/];
}
});
}); });
it('Upload model topology only', function () { return __awaiter(_this, void 0, void 0, function () {
var weightsManifest, weightsTopologyAndManifest, jsonFile, filesHandler, modelArtifacts;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightsManifest = [{
paths: ['./model.weights.bin'],
weights: weightSpecs1,
}];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile]);
return [4 /*yield*/, filesHandler.load()];
case 1:
modelArtifacts = _a.sent();
expect(modelArtifacts.modelTopology).toEqual(modelTopology1);
expect(modelArtifacts.weightSpecs).toEqual(undefined);
return [2 /*return*/];
}
});
}); });
it('Mismatch in number of paths and number of files', function () { return __awaiter(_this, void 0, void 0, function () {
var weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, jsonFile, filesHandler, err_1;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightsManifest = [{
paths: ['./model.weights.1.bin'],
weights: weightSpecs1,
}];
weightsTopologyAndManifest = {
modelTopology: weightSpecs1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 2, 3, 4]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 20, 30, 40]).buffer], 'model.weights.2.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile2, weightsFile1]);
_a.label = 1;
case 1:
_a.trys.push([1, 3, , 4]);
return [4 /*yield*/, filesHandler.load()];
case 2:
_a.sent();
fail('Loading with mismatch in number of paths and number of files ' +
'succeeded unexpectedly.');
return [3 /*break*/, 4];
case 3:
err_1 = _a.sent();
expect(err_1.message)
.toEqual('Mismatch in the number of files in weights manifest (1) ' +
'and the number of weight files provided (2).');
return [3 /*break*/, 4];
case 4: return [2 /*return*/];
}
});
}); });
it('Mismatch in manifest paths and file names', function () { return __awaiter(_this, void 0, void 0, function () {
var weightSpecs, weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, jsonFile, filesHandler, err_2;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightSpecs = [
{
name: 'foo',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'bar',
shape: [1, 1],
dtype: 'float32',
}
];
weightsManifest = [{
paths: ['./model.weights.1.bin', './model.weights.2.bin'],
weights: weightSpecs,
}];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 2, 3, 4]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 20, 30, 40]).buffer], 'model.weights.3.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile1, weightsFile2]);
_a.label = 1;
case 1:
_a.trys.push([1, 3, , 4]);
return [4 /*yield*/, filesHandler.load()];
case 2:
_a.sent();
fail('Loading with mismatching paths and file names ' +
'succeeded unexpectedly.');
return [3 /*break*/, 4];
case 3:
err_2 = _a.sent();
expect(err_2.message)
.toEqual('Weight file with basename \'model.weights.2.bin\' is not ' +
'provided.');
return [3 /*break*/, 4];
case 4: return [2 /*return*/];
}
});
}); });
it('Duplicate basenames in paths fails', function () { return __awaiter(_this, void 0, void 0, function () {
var weightSpecs, weightsManifest, weightsTopologyAndManifest, weightsFile1, weightsFile2, jsonFile, filesHandler, err_3;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightSpecs = [
{
name: 'foo',
shape: [1, 1],
dtype: 'float32',
},
{
name: 'bar',
shape: [1, 1],
dtype: 'float32',
}
];
weightsManifest = [{
paths: ['./dir1/model.weights.1.bin', './dir2/model.weights.1.bin'],
weights: weightSpecs,
}];
weightsTopologyAndManifest = {
modelTopology: modelTopology1,
weightsManifest: weightsManifest,
};
weightsFile1 = new File([new Uint8Array([1, 2, 3, 4]).buffer], 'model.weights.1.bin', { type: 'application/octet-stream' });
weightsFile2 = new File([new Uint8Array([10, 20, 30, 40]).buffer], 'model.weights.2.bin', { type: 'application/octet-stream' });
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile1, weightsFile2]);
_a.label = 1;
case 1:
_a.trys.push([1, 3, , 4]);
return [4 /*yield*/, filesHandler.load()];
case 2:
_a.sent();
fail('Loading with duplicate basenames in paths succeeded unexpectedly.');
return [3 /*break*/, 4];
case 3:
err_3 = _a.sent();
expect(err_3.message)
.toEqual('Duplicate file basename found in weights manifest: ' +
'\'model.weights.1.bin\'');
return [3 /*break*/, 4];
case 4: return [2 /*return*/];
}
});
}); });
it('Missing modelTopology from JSON leads to Error', function () { return __awaiter(_this, void 0, void 0, function () {
var weightsManifest, weightsTopologyAndManifest, jsonFile, filesHandler, err_4;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
weightsManifest = [{
paths: ['./model.weights.bin'],
weights: weightSpecs1,
}];
weightsTopologyAndManifest = {
weightsManifest: weightsManifest,
};
jsonFile = new File([JSON.stringify(weightsTopologyAndManifest)], 'model.json', { type: 'application/json' });
filesHandler = tf.io.browserFiles([jsonFile, weightsFile]);
_a.label = 1;
case 1:
_a.trys.push([1, 3, , 4]);
return [4 /*yield*/, filesHandler.load()];
case 2:
_a.sent();
fail('Loading with Files IOHandler with missing modelTopology ' +
'succeeded unexpectedly.');
return [3 /*break*/, 4];
case 3:
err_4 = _a.sent();
expect(err_4.message)
.toMatch(/modelTopology field is missing from file model\.json/);
return [3 /*break*/, 4];
case 4: return [2 /*return*/];
}
});
}); });
it('Incorrect number of files leads to Error', function () {
expect(function () { return tf.io.browserFiles(null); }).toThrowError(/at least 1 file/);
expect(function () { return tf.io.browserFiles([]); }).toThrowError(/at least 1 file/);
});
});
//# sourceMappingURL=browser_files_test.js.map