@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
219 lines • 9.07 kB
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, expectArraysEqual } from '../test_util';
describeWithFlags('zerosLike', ALL_ENVS, () => {
it('1D default dtype', async () => {
const a = tf.tensor1d([1, 2, 3]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([3]);
expectArraysClose(await b.data(), [0, 0, 0]);
});
it('chainable 1D default dtype', async () => {
const a = tf.tensor1d([1, 2, 3]);
const b = a.zerosLike();
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([3]);
expectArraysClose(await b.data(), [0, 0, 0]);
});
it('1D float32 dtype', async () => {
const a = tf.tensor1d([1, 2, 3], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([3]);
expectArraysClose(await b.data(), [0, 0, 0]);
});
it('1D int32 dtype', async () => {
const a = tf.tensor1d([1, 2, 3], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual([3]);
expectArraysEqual(await b.data(), [0, 0, 0]);
});
it('1D bool dtype', async () => {
const a = tf.tensor1d([1, 2, 3], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual([3]);
expectArraysEqual(await b.data(), [0, 0, 0]);
});
it('2D default dtype', async () => {
const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('2D float32 dtype', async () => {
const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('2D int32 dtype', async () => {
const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual([2, 2]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('2D bool dtype', async () => {
const a = tf.tensor2d([1, 2, 3, 4], [2, 2], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual([2, 2]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('3D default dtype', async () => {
const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('3D float32 dtype', async () => {
const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('3D int32 dtype', async () => {
const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual([2, 2, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('3D bool dtype', async () => {
const a = tf.tensor3d([1, 2, 3, 4], [2, 2, 1], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual([2, 2, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('4D default dtype', async () => {
const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('4D float32 dtype', async () => {
const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('4D int32 dtype', async () => {
const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual([2, 2, 1, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('4D bool dtype', async () => {
const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual([2, 2, 1, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('4D default dtype', async () => {
const a = tf.tensor4d([1, 2, 3, 4], [2, 2, 1, 1]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([2, 2, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('5D float32 dtype', async () => {
const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([1, 2, 2, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('5D int32 dtype', async () => {
const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual([1, 2, 2, 1, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('5D bool dtype', async () => {
const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual([1, 2, 2, 1, 1]);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('5D default dtype', async () => {
const a = tf.tensor5d([1, 2, 3, 4], [1, 2, 2, 1, 1]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([1, 2, 2, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('6D float32 dtype', async () => {
const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'float32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual([1, 2, 2, 1, 1, 1]);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('6D int32 dtype', async () => {
const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'int32');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('int32');
expect(b.shape).toEqual(a.shape);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('6D bool dtype', async () => {
const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1], 'bool');
const b = tf.zerosLike(a);
expect(b.dtype).toBe('bool');
expect(b.shape).toEqual(a.shape);
expectArraysEqual(await b.data(), [0, 0, 0, 0]);
});
it('6D default dtype', async () => {
const a = tf.tensor6d([1, 2, 3, 4], [1, 2, 2, 1, 1, 1]);
const b = tf.zerosLike(a);
expect(b.dtype).toBe('float32');
expect(b.shape).toEqual(a.shape);
expectArraysClose(await b.data(), [0, 0, 0, 0]);
});
it('zerosLike gradient', async () => {
const x = tf.tensor2d([[0, 1, 2], [4, 5, 6]]);
const gradients = tf.grad(x => tf.zerosLike(x))(x);
expect(gradients.shape).toEqual([2, 3]);
expectArraysEqual(await gradients.data(), [0, 0, 0, 0, 0, 0]);
});
it('throws when passed a non-tensor', () => {
expect(() => tf.zerosLike({}))
.toThrowError(/Argument 'x' passed to 'zerosLike' must be a Tensor/);
});
it('accepts a tensor-like object', async () => {
const res = tf.zerosLike([[1, 2], [3, 4]]);
expect(res.shape).toEqual([2, 2]);
expectArraysEqual(await res.data(), [0, 0, 0, 0]);
});
});
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