@tensorflow/tfjs-core/dist/ops/reverse_3d_test.js

/**
 * @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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