@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, BROWSER_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('depthToSpace', ALL_ENVS, () => {
it('tensor4d, input shape=[1, 1, 1, 4], blockSize=2, format=NHWC', async () => {
const t = tf.tensor4d([[[[1, 2, 3, 4]]]]);
const blockSize = 2;
const dataFormat = 'NHWC';
const res = tf.depthToSpace(t, blockSize, dataFormat);
expect(res.shape).toEqual([1, 2, 2, 1]);
expectArraysClose(await res.data(), [1, 2, 3, 4]);
});
it('tensor4d, input shape=[1, 1, 1, 12], blockSize=2, format=NHWC', async () => {
const t = tf.tensor4d([[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]]);
const blockSize = 2;
const dataFormat = 'NHWC';
const res = tf.depthToSpace(t, blockSize, dataFormat);
expect(res.shape).toEqual([1, 2, 2, 3]);
expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]);
});
it('tensor4d, input shape=[1, 2, 2, 4], blockSize=2, format=NHWC', async () => {
const t = tf.tensor4d([
[[[1, 2, 3, 4], [5, 6, 7, 8]], [[9, 10, 11, 12], [13, 14, 15, 16]]]
]);
const blockSize = 2;
const dataFormat = 'NHWC';
const res = tf.depthToSpace(t, blockSize, dataFormat);
expect(res.shape).toEqual([1, 4, 4, 1]);
expectArraysClose(await res.data(), [1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16]);
});
it('throws when depth not divisible by blockSize * blockSize', () => {
const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
const blockSize = 3;
expect(() => tf.depthToSpace(t, blockSize))
.toThrowError(`Dimension size must be evenly divisible by ${blockSize * blockSize} but is ${t.shape[3]} for depthToSpace with input shape ${t.shape}`);
});
});
describeWithFlags('depthToSpace', BROWSER_ENVS, () => {
it('throws when blocksize < 2', () => {
const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
const blockSize = 1;
expect(() => tf.depthToSpace(t, blockSize))
.toThrowError(`blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);
});
});
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