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| /**
| * @license
| * Copyright 2021 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.
| * =============================================================================
| */
| import * as tf from '../index';
| import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
| import { expectArraysEqual } from '../test_util';
| describeWithFlags('broadcastArgs', ALL_ENVS, () => {
| it('([1,1], [1,1]) -> [1,1]', async () => {
| const s1 = tf.tensor1d([1, 1], 'int32');
| const s2 = tf.tensor1d([1, 1], 'int32');
| const expected = [1, 1];
| expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());
| });
| it('([1,1], [4,2]) -> [4,2]', async () => {
| const s1 = tf.tensor1d([1, 1], 'int32');
| const s2 = tf.tensor1d([4, 2], 'int32');
| const expected = [4, 2];
| expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());
| });
| it('([1,6], [3,1]) -> [3,6]', async () => {
| const s1 = tf.tensor1d([1, 6], 'int32');
| const s2 = tf.tensor1d([3, 1], 'int32');
| const expected = [3, 6];
| expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());
| });
| it('([1,6], [3,1,1,1]) -> [3,1,1,6]', async () => {
| const s1 = tf.tensor1d([1, 6], 'int32');
| const s2 = tf.tensor1d([3, 1, 1, 1], 'int32');
| const expected = [3, 1, 1, 6];
| expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());
| });
| it('([1,6,-1], [3,1,1,1]) -> [3,1,6,-1]', async () => {
| const s1 = tf.tensor1d([1, 6, -1], 'int32');
| const s2 = tf.tensor1d([3, 1, 1, 1], 'int32');
| const expected = [3, 1, 6, -1];
| expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());
| });
| it('([1,2], [1,3]) -> error', async () => {
| const s1 = tf.tensor1d([1, 2], 'int32');
| const s2 = tf.tensor1d([1, 3], 'int32');
| expect(() => tf.broadcastArgs(s1, s2).arraySync()).toThrowError();
| });
| it('([[1,1],[1,1]], [[1,1],[1,1]]) -> error', async () => {
| const s1 = tf.tensor2d([[1, 1], [1, 1]], [2, 2], 'int32');
| const s2 = tf.tensor2d([[1, 1], [1, 1]], [2, 2], 'int32');
| expect(() => tf.broadcastArgs(s1, s2).arraySync()).toThrowError();
| });
| });
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tf from '../index';\nimport {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysEqual} from '../test_util';\n\ndescribeWithFlags('broadcastArgs', ALL_ENVS, () => {\n  it('([1,1], [1,1]) -> [1,1]', async () => {\n    const s1 = tf.tensor1d([1, 1], 'int32');\n    const s2 = tf.tensor1d([1, 1], 'int32');\n    const expected = [1, 1];\n\n    expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());\n  });\n\n  it('([1,1], [4,2]) -> [4,2]', async () => {\n    const s1 = tf.tensor1d([1, 1], 'int32');\n    const s2 = tf.tensor1d([4, 2], 'int32');\n    const expected = [4, 2];\n\n    expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());\n  });\n\n  it('([1,6], [3,1]) -> [3,6]', async () => {\n    const s1 = tf.tensor1d([1, 6], 'int32');\n    const s2 = tf.tensor1d([3, 1], 'int32');\n    const expected = [3, 6];\n\n    expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());\n  });\n\n  it('([1,6], [3,1,1,1]) -> [3,1,1,6]', async () => {\n    const s1 = tf.tensor1d([1, 6], 'int32');\n    const s2 = tf.tensor1d([3, 1, 1, 1], 'int32');\n    const expected = [3, 1, 1, 6];\n\n    expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());\n  });\n\n  it('([1,6,-1], [3,1,1,1]) -> [3,1,6,-1]', async () => {\n    const s1 = tf.tensor1d([1, 6, -1], 'int32');\n    const s2 = tf.tensor1d([3, 1, 1, 1], 'int32');\n    const expected = [3, 1, 6, -1];\n\n    expectArraysEqual(expected, await tf.broadcastArgs(s1, s2).array());\n  });\n\n  it('([1,2], [1,3]) -> error', async () => {\n    const s1 = tf.tensor1d([1, 2], 'int32');\n    const s2 = tf.tensor1d([1, 3], 'int32');\n\n    expect(() => tf.broadcastArgs(s1, s2).arraySync()).toThrowError();\n  });\n\n  it('([[1,1],[1,1]], [[1,1],[1,1]]) -> error', async () => {\n    const s1 = tf.tensor2d([[1, 1], [1, 1]], [2, 2], 'int32');\n    const s2 = tf.tensor2d([[1, 1], [1, 1]], [2, 2], 'int32');\n\n    expect(() => tf.broadcastArgs(s1, s2).arraySync()).toThrowError();\n  });\n});\n"]}
|
|
