@tensorflow-models/body-pix/dist/setup_test.js

Pretrained BodyPix model in TensorFlow.js

"use strict";
/**
 * @license
 * Copyright 2019 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.
 * =============================================================================
 */
Object.defineProperty(exports, "__esModule", { value: true });
/**
 * This file is necessary so we register all test environments before we start
 * executing tests.
 */
require("@tensorflow/tfjs-backend-webgl");
// tslint:disable-next-line: no-imports-from-dist
var jasmine_util_1 = require("@tensorflow/tfjs-core/dist/jasmine_util");
// Increase test timeout since we are fetching the model files from GCS.
jasmine.DEFAULT_TIMEOUT_INTERVAL = 20000;
// Run browser tests againts both the cpu and webgl backends.
(0, jasmine_util_1.setTestEnvs)([
    // WebGL.
    {
        name: 'test-webgl',
        backendName: 'webgl',
        flags: {
            'WEBGL_VERSION': 2,
            'WEBGL_CPU_FORWARD': false,
            'WEBGL_SIZE_UPLOAD_UNIFORM': 0
        },
        isDataSync: true
    },
    // CPU.
    // TODO(nsthorat): Enable this once we have CPU support
    // https://github.com/tensorflow/tfjs/issues/2187
    // {name: 'cpu', backendName: 'cpu'}
]);
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