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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 {} 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, expectArraysClose } from '../test_util';
| describeWithFlags('no input', ALL_ENVS, () => {
| it('Should return an empty tensor ', async () => {
| expect(tf.meshgrid()).toEqual([]);
| });
| });
| describeWithFlags('single input', ALL_ENVS, () => {
| it('Should return a tensor with the same data', async () => {
| const x = [1, 2, 3, 4];
| const [got] = tf.meshgrid(x);
| expectArraysEqual(await got.data(), x);
| });
| });
| describeWithFlags('simple inputs', ALL_ENVS, () => {
| it('Should handle the simple 2D case', async () => {
| const x = [1, 2, 3];
| const y = [4, 5, 6, 7];
| const [X, Y] = tf.meshgrid(x, y);
| // 'close' instead of 'equal' because of matmul precision
| // in certain backends (WebGL).
| expectArraysClose(await X.data(), [[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]);
| expectArraysClose(await Y.data(), [[4, 4, 4], [5, 5, 5], [6, 6, 6], [7, 7, 7]]);
| });
| it('Should support \'ij\' indexing', async () => {
| const x = [1, 2, 3];
| const y = [4, 5, 6, 7];
| const [X, Y] = tf.meshgrid(x, y, { indexing: 'ij' });
| // 'close' instead of 'equal' because of matmul precision
| // in certain backends (WebGL).
| expectArraysClose(await X.data(), [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]);
| expectArraysClose(await Y.data(), [[4, 5, 6, 7], [4, 5, 6, 7], [4, 5, 6, 7]]);
| });
| });
| describeWithFlags('higher dimensional input', ALL_ENVS, () => {
| it('Should flatten higher dimensional', async () => {
| const x = [1, 2, 3];
| const a = [[1, 1], [1, 1]];
| const [X, A] = tf.meshgrid(x, a);
| // 'close' instead of 'equal' because of matmul precision
| // in certain backends (WebGL).
| expectArraysClose(await X.data(), [[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]);
| expectArraysClose(await A.data(), [[1, 1, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1]]);
| });
| });
| describeWithFlags('dtypes', ALL_ENVS, () => {
| it('Should use float32 for arrays of numbers', async () => {
| const x = [1, 2];
| const y = [3, 4];
| const [X, Y] = tf.meshgrid(x, y);
| expect(X.dtype).toBe('float32');
| expect(Y.dtype).toBe('float32');
| });
| it('Should use the input tensor dtype', async () => {
| const x = tf.tensor1d([1, 2], 'int32');
| const y = tf.tensor1d([3, 4], 'float32');
| const [X, Y] = tf.meshgrid(x, y);
| expect(X.dtype).toBe('int32');
| expect(Y.dtype).toBe('float32');
| });
| });
| describeWithFlags('scalars', ALL_ENVS, () => {
| it('Should treat them as 1D tensors', async () => {
| const [X] = tf.meshgrid(0);
| // 'close' instead of 'equal' because of matmul precision
| // in certain backends (WebGL).
| expectArraysClose(await X.data(), [0]);
| const [Y, Z] = tf.meshgrid([0], 1);
| expectArraysClose(await Y.data(), [[0]]);
| expectArraysClose(await Z.data(), [[1]]);
| });
| });
| describeWithFlags('invalid arguments', ALL_ENVS, () => {
| it('Should throw an Error', () => {
| expect(() => tf.meshgrid((() => { }))).toThrow();
| expect(() => tf.meshgrid([1], (() => { }))).toThrow();
| expect(() => tf.meshgrid([1], [2], { indexing: 'foobar' })).toThrow();
| });
| });
| //# 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* @license\n * Copyright 2021 Google LLC. 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 {} 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 {Tensor} from '../tensor';\nimport {expectArraysEqual, expectArraysClose} from '../test_util';\n\ndescribeWithFlags('no input', ALL_ENVS, () => {\n  it('Should return an empty tensor ', async () => {\n    expect(tf.meshgrid()).toEqual([]);\n  });\n});\n\ndescribeWithFlags('single input', ALL_ENVS, () => {\n  it('Should return a tensor with the same data', async () => {\n    const x = [1, 2, 3, 4];\n    const [got] = tf.meshgrid(x);\n\n    expectArraysEqual(await got.data(), x);\n  });\n});\n\ndescribeWithFlags('simple inputs', ALL_ENVS, () => {\n  it('Should handle the simple 2D case', async () => {\n    const x = [1, 2, 3];\n    const y = [4, 5, 6, 7];\n    const [X, Y] = tf.meshgrid(x, y);\n\n    // 'close' instead of 'equal' because of matmul precision\n    // in certain backends (WebGL).\n    expectArraysClose(\n        await X.data(), [[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]);\n    expectArraysClose(\n        await Y.data(), [[4, 4, 4], [5, 5, 5], [6, 6, 6], [7, 7, 7]]);\n  });\n\n  it('Should support \\'ij\\' indexing', async () => {\n    const x = [1, 2, 3];\n    const y = [4, 5, 6, 7];\n    const [X, Y] = tf.meshgrid(x, y, {indexing: 'ij'});\n\n    // 'close' instead of 'equal' because of matmul precision\n    // in certain backends (WebGL).\n    expectArraysClose(\n        await X.data(), [[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3]]);\n    expectArraysClose(\n        await Y.data(), [[4, 5, 6, 7], [4, 5, 6, 7], [4, 5, 6, 7]]);\n  });\n});\n\ndescribeWithFlags('higher dimensional input', ALL_ENVS, () => {\n  it('Should flatten higher dimensional', async () => {\n    const x = [1, 2, 3];\n    const a = [[1, 1], [1, 1]];\n\n    const [X, A] = tf.meshgrid(x, a);\n\n    // 'close' instead of 'equal' because of matmul precision\n    // in certain backends (WebGL).\n    expectArraysClose(\n        await X.data(), [[1, 2, 3], [1, 2, 3], [1, 2, 3], [1, 2, 3]]);\n    expectArraysClose(\n        await A.data(), [[1, 1, 1], [1, 1, 1], [1, 1, 1], [1, 1, 1]]);\n  });\n});\n\ndescribeWithFlags('dtypes', ALL_ENVS, () => {\n  it('Should use float32 for arrays of numbers', async () => {\n    const x = [1, 2];\n    const y = [3, 4];\n    const [X, Y] = tf.meshgrid(x, y);\n\n    expect(X.dtype).toBe('float32');\n    expect(Y.dtype).toBe('float32');\n  });\n\n  it('Should use the input tensor dtype', async () => {\n    const x = tf.tensor1d([1, 2], 'int32');\n    const y = tf.tensor1d([3, 4], 'float32');\n    const [X, Y] = tf.meshgrid(x, y);\n\n    expect(X.dtype).toBe('int32');\n    expect(Y.dtype).toBe('float32');\n  });\n});\n\ndescribeWithFlags('scalars', ALL_ENVS, () => {\n  it('Should treat them as 1D tensors', async () => {\n    const [X] = tf.meshgrid(0);\n    // 'close' instead of 'equal' because of matmul precision\n    // in certain backends (WebGL).\n    expectArraysClose(await X.data(), [0]);\n\n    const [Y, Z] = tf.meshgrid([0], 1);\n    expectArraysClose(await Y.data(), [[0]]);\n    expectArraysClose(await Z.data(), [[1]]);\n  });\n});\n\ndescribeWithFlags('invalid arguments', ALL_ENVS, () => {\n  it('Should throw an Error', () => {\n    expect(() => tf.meshgrid((() => {}) as unknown as Tensor)).toThrow();\n    expect(() => tf.meshgrid([1], (() => {}) as unknown as Tensor)).toThrow();\n    expect(() => tf.meshgrid([1], [2], {indexing: 'foobar'})).toThrow();\n  });\n});\n"]}
|
|
