@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @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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