transpose_test.ts

/**
 * @license
 * Copyright 2017 Google Inc. 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';
// tslint:disable-next-line:max-line-length
import {ALL_ENVS, expectArraysClose} from '../test_util';
import {describeWithFlags} from '../jasmine_util';

describeWithFlags('transpose', ALL_ENVS, () => {
  it('2D (no change)', () => {
    const t = tf.tensor2d([1, 11, 2, 22, 3, 33, 4, 44], [2, 4]);
    const t2 = tf.transpose(t, [0, 1]);

    expect(t2.shape).toEqual(t.shape);
    expectArraysClose(t2, t);
  });

  it('2D (transpose)', () => {
    const t = tf.tensor2d([1, 11, 2, 22, 3, 33, 4, 44], [2, 4]);
    const t2 = tf.transpose(t, [1, 0]);

    expect(t2.shape).toEqual([4, 2]);
    expectArraysClose(t2, [1, 3, 11, 33, 2, 4, 22, 44]);
  });

  it('3D [r, c, d] => [d, r, c]', () => {
    const t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
    const t2 = tf.transpose(t, [2, 0, 1]);

    expect(t2.shape).toEqual([2, 2, 2]);
    expectArraysClose(t2, [1, 2, 3, 4, 11, 22, 33, 44]);
  });

  it('3D [r, c, d] => [d, c, r]', () => {
    const t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
    const t2 = tf.transpose(t, [2, 1, 0]);

    expect(t2.shape).toEqual([2, 2, 2]);
    expectArraysClose(t2, [1, 3, 2, 4, 11, 33, 22, 44]);
  });

  it('gradient 3D [r, c, d] => [d, c, r]', () => {
    const t = tf.tensor3d([1, 11, 2, 22, 3, 33, 4, 44], [2, 2, 2]);
    const perm = [2, 1, 0];
    const dy = tf.tensor3d([111, 211, 121, 221, 112, 212, 122, 222], [2, 2, 2]);
    const dt = tf.grad(t => t.transpose(perm))(t, dy);
    expect(dt.shape).toEqual(t.shape);
    expect(dt.dtype).toEqual('float32');
    expectArraysClose(dt, [111, 112, 121, 122, 211, 212, 221, 222]);
  });

  it('throws when passed a non-tensor', () => {
    expect(() => tf.transpose({} as tf.Tensor))
        .toThrowError(/Argument 'x' passed to 'transpose' must be a Tensor/);
  });
});