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| /**
| * @license
| * Copyright 2020 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 { expectArraysClose } from '../../test_util';
| describeWithFlags('1D IRFFT', ALL_ENVS, () => {
| it('should return the same value with TensorFlow (2 elements)', async () => {
| const t1Real = tf.tensor1d([1, 2]);
| const t1Imag = tf.tensor1d([0, 0]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [1.5, -0.5]);
| });
| it('should calculate from the tensor directly', async () => {
| const t1Real = tf.tensor1d([1, 2]);
| const t1Imag = tf.tensor1d([0, 0]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await t1.irfft().data(), [1.5, -0.5]);
| });
| it('should return the same value with TensorFlow (5 elements)', async () => {
| const t1Real = tf.tensor1d([1, 2, 3, 4, 5]);
| const t1Imag = tf.tensor1d([0, 0, 0, 0, 0]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [3, -0.8535534, 0, -0.14644662, 0, -0.14644662, 0, -0.8535534]);
| });
| it('should return the same value with TensorFlow (5 elements) with imag', async () => {
| const t1Real = tf.tensor1d([1, 2, 3, 4, 5]);
| const t1Imag = tf.tensor1d([1, 2, 3, 4, 5]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [3, -2.6642137, 0.5, -0.45710677, 0, 0.16421354, -0.5, 0.95710677]);
| });
| });
| describeWithFlags('2D IRFFT', ALL_ENVS, () => {
| it('should return the same value with TensorFlow (2x2 elements)', async () => {
| const t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);
| const t1Imag = tf.tensor2d([0, 0, 0, 0], [2, 2]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [1.5, -0.5, 3.5, -0.5]);
| });
| it('should return the same value with TensorFlow (2x3 elements)', async () => {
| const t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
| const t1Imag = tf.tensor2d([0, 0, 0, 0, 0, 0], [2, 3]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5]);
| });
| it('should return the same value with TensorFlow (2x3 elements) with imag', async () => {
| const t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
| const t1Imag = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
| const t1 = tf.complex(t1Real, t1Imag);
| expectArraysClose(await tf.spectral.irfft(t1).data(), [2, -1.5, 0, 0.5, 5, -3, 0, 2]);
| });
| });
| describeWithFlags('3D IRFFT', ALL_ENVS, () => {
| it('should return the same value with TensorFlow (2x2x2 elements)', async () => {
| const t1Real = tf.tensor3d([1, 2, 3, 4, 1, 2, 3, 4], [2, 2, 2]);
| const t1Imag = tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 2]);
| const t1 = tf.complex(t1Real, t1Imag);
| const result = tf.spectral.irfft(t1);
| expect(result.shape).toEqual([2, 2, 2]);
| expectArraysClose(await result.data(), [1.5, -0.5, 3.5, -0.5, 1.5, -0.5, 3.5, -0.5]);
| });
| it('should return the same value with TensorFlow (2x2x3 elements)', async () => {
| const t1Real = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
| const t1Imag = tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 3]);
| const t1 = tf.complex(t1Real, t1Imag);
| const result = tf.spectral.irfft(t1);
| expect(result.shape).toEqual([2, 2, 4]);
| expectArraysClose(await result.data(), [
| 2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5, 2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5
| ]);
| });
| it('should return the same value with TensorFlow (2x2x3 elements) with imag', async () => {
| const t1Real = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
| const t1Imag = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
| const t1 = tf.complex(t1Real, t1Imag);
| const result = tf.spectral.irfft(t1);
| expect(result.shape).toEqual([2, 2, 4]);
| expectArraysClose(await result.data(), [2, -1.5, 0, 0.5, 5, -3, 0, 2, 2, -1.5, 0, 0.5, 5, -3, 0, 2]);
| });
| });
| //# 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* @license\n * Copyright 2020 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 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 {expectArraysClose} from '../../test_util';\n\ndescribeWithFlags('1D IRFFT', ALL_ENVS, () => {\n  it('should return the same value with TensorFlow (2 elements)', async () => {\n    const t1Real = tf.tensor1d([1, 2]);\n    const t1Imag = tf.tensor1d([0, 0]);\n    const t1 = tf.complex(t1Real, t1Imag);\n    expectArraysClose(await tf.spectral.irfft(t1).data(), [1.5, -0.5]);\n  });\n\n  it('should calculate from the tensor directly', async () => {\n    const t1Real = tf.tensor1d([1, 2]);\n    const t1Imag = tf.tensor1d([0, 0]);\n    const t1 = tf.complex(t1Real, t1Imag);\n    expectArraysClose(await t1.irfft().data(), [1.5, -0.5]);\n  });\n\n  it('should return the same value with TensorFlow (5 elements)', async () => {\n    const t1Real = tf.tensor1d([1, 2, 3, 4, 5]);\n    const t1Imag = tf.tensor1d([0, 0, 0, 0, 0]);\n    const t1 = tf.complex(t1Real, t1Imag);\n    expectArraysClose(\n        await tf.spectral.irfft(t1).data(),\n        [3, -0.8535534, 0, -0.14644662, 0, -0.14644662, 0, -0.8535534]);\n  });\n\n  it('should return the same value with TensorFlow (5 elements) with imag',\n     async () => {\n       const t1Real = tf.tensor1d([1, 2, 3, 4, 5]);\n       const t1Imag = tf.tensor1d([1, 2, 3, 4, 5]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       expectArraysClose(\n           await tf.spectral.irfft(t1).data(),\n           [3, -2.6642137, 0.5, -0.45710677, 0, 0.16421354, -0.5, 0.95710677]);\n     });\n});\n\ndescribeWithFlags('2D IRFFT', ALL_ENVS, () => {\n  it('should return the same value with TensorFlow (2x2 elements)',\n     async () => {\n       const t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n       const t1Imag = tf.tensor2d([0, 0, 0, 0], [2, 2]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       expectArraysClose(\n           await tf.spectral.irfft(t1).data(), [1.5, -0.5, 3.5, -0.5]);\n     });\n\n  it('should return the same value with TensorFlow (2x3 elements)',\n     async () => {\n       const t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n       const t1Imag = tf.tensor2d([0, 0, 0, 0, 0, 0], [2, 3]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       expectArraysClose(\n           await tf.spectral.irfft(t1).data(),\n           [2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5]);\n     });\n\n  it('should return the same value with TensorFlow (2x3 elements) with imag',\n     async () => {\n       const t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n       const t1Imag = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       expectArraysClose(\n           await tf.spectral.irfft(t1).data(), [2, -1.5, 0, 0.5, 5, -3, 0, 2]);\n     });\n});\n\ndescribeWithFlags('3D IRFFT', ALL_ENVS, () => {\n  it('should return the same value with TensorFlow (2x2x2 elements)',\n     async () => {\n       const t1Real = tf.tensor3d([1, 2, 3, 4, 1, 2, 3, 4], [2, 2, 2]);\n       const t1Imag = tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 2]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       const result = tf.spectral.irfft(t1);\n       expect(result.shape).toEqual([2, 2, 2]);\n\n       expectArraysClose(\n           await result.data(), [1.5, -0.5, 3.5, -0.5, 1.5, -0.5, 3.5, -0.5]);\n     });\n\n  it('should return the same value with TensorFlow (2x2x3 elements)',\n     async () => {\n       const t1Real =\n           tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);\n       const t1Imag =\n           tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 3]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       const result = tf.spectral.irfft(t1);\n       expect(result.shape).toEqual([2, 2, 4]);\n       expectArraysClose(await result.data(), [\n         2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5, 2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5\n       ]);\n     });\n\n  it('should return the same value with TensorFlow (2x2x3 elements) with imag',\n     async () => {\n       const t1Real =\n           tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);\n       const t1Imag =\n           tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);\n       const t1 = tf.complex(t1Real, t1Imag);\n       const result = tf.spectral.irfft(t1);\n       expect(result.shape).toEqual([2, 2, 4]);\n       expectArraysClose(\n           await result.data(),\n           [2, -1.5, 0, 0.5, 5, -3, 0, 2, 2, -1.5, 0, 0.5, 5, -3, 0, 2]);\n     });\n});\n"]}
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