@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
113 lines • 4.58 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 } from '../test_util';
describeWithFlags('reverse3d', ALL_ENVS, () => {
// [
// [
// [0, 1, 2, 3],
// [4, 5, 6, 7],
// [8, 9, 10, 11]
// ],
// [
// [12, 13, 14, 15],
// [16, 17, 18, 19],
// [20, 21, 22, 23]
// ]
// ]
const shape = [2, 3, 4];
const data = [
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
];
it('reverse a 3D array at axis [0]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [0]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
]);
});
it('reverse a 3D array at axis [1]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [1]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
8, 9, 10, 11, 4, 5, 6, 7, 0, 1, 2, 3,
20, 21, 22, 23, 16, 17, 18, 19, 12, 13, 14, 15
]);
});
it('reverse a 3D array at axis [2]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [2]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
3, 2, 1, 0, 7, 6, 5, 4, 11, 10, 9, 8,
15, 14, 13, 12, 19, 18, 17, 16, 23, 22, 21, 20
]);
});
it('reverse a 3D array at axis [0, 1]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [0, 1]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
20, 21, 22, 23, 16, 17, 18, 19, 12, 13, 14, 15,
8, 9, 10, 11, 4, 5, 6, 7, 0, 1, 2, 3
]);
});
it('reverse a 3D array at axis [0, 2]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [0, 2]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
15, 14, 13, 12, 19, 18, 17, 16, 23, 22, 21, 20,
3, 2, 1, 0, 7, 6, 5, 4, 11, 10, 9, 8
]);
});
it('reverse a 3D array at axis [1, 2]', async () => {
const input = tf.tensor3d(data, shape);
const result = tf.reverse3d(input, [1, 2]);
expect(result.shape).toEqual(input.shape);
expectArraysClose(await result.data(), [
11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0,
23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12
]);
});
it('throws error with invalid input', () => {
// tslint:disable-next-line:no-any
const x = tf.tensor2d([1, 20, 300, 4], [1, 4]);
expect(() => tf.reverse3d(x, [1])).toThrowError();
});
it('throws error with invalid axis param', () => {
const x = tf.tensor3d([1, 20, 300, 4], [1, 1, 4]);
expect(() => tf.reverse3d(x, [3])).toThrowError();
expect(() => tf.reverse3d(x, [-4])).toThrowError();
});
it('throws error with non integer axis param', () => {
const x = tf.tensor3d([1, 20, 300, 4], [1, 1, 4]);
expect(() => tf.reverse3d(x, [0.5])).toThrowError();
});
it('accepts a tensor-like object', async () => {
const input = [[[1], [2], [3]], [[4], [5], [6]]]; // 2x3x1
const result = tf.reverse3d(input, [0]);
expect(result.shape).toEqual([2, 3, 1]);
expectArraysClose(await result.data(), [4, 5, 6, 1, 2, 3]);
});
});
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