@tensorflow/tfjs-core/dist/ops/all_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, expectArraysEqual } from '../test_util';
describeWithFlags('all', ALL_ENVS, () => {
    it('Tensor1D', async () => {
        let a = tf.tensor1d([0, 0, 0], 'bool');
        expectArraysClose(await tf.all(a).data(), 0);
        a = tf.tensor1d([1, 0, 1], 'bool');
        expectArraysClose(await tf.all(a).data(), 0);
        a = tf.tensor1d([1, 1, 1], 'bool');
        expectArraysClose(await tf.all(a).data(), 1);
    });
    it('ignores NaNs', async () => {
        const a = tf.tensor1d([1, NaN, 1], 'bool');
        expectArraysEqual(await tf.all(a).data(), 1);
    });
    it('2D', async () => {
        const a = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
        expectArraysClose(await tf.all(a).data(), 0);
    });
    it('2D axis=[0,1]', async () => {
        const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
        expectArraysClose(await tf.all(a, [0, 1]).data(), 0);
    });
    it('2D, axis=0', async () => {
        const a = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
        let r = tf.all(a, 0);
        expect(r.shape).toEqual([2]);
        expectArraysClose(await r.data(), [0, 0]);
        r = tf.all(a, 1);
        expect(r.shape).toEqual([2]);
        expectArraysClose(await r.data(), [1, 0]);
    });
    it('2D, axis=0, keepDims', async () => {
        const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
        const r = a.all(0, true /* keepDims */);
        expect(r.shape).toEqual([1, 3]);
        expectArraysClose(await r.data(), [0, 1, 0]);
    });
    it('2D, axis=1 provided as a number', async () => {
        const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
        const r = tf.all(a, 1);
        expectArraysClose(await r.data(), [0, 0]);
    });
    it('2D, axis = -1 provided as a number', async () => {
        const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
        const r = tf.all(a, -1);
        expectArraysClose(await r.data(), [0, 0]);
    });
    it('2D, axis=[1]', async () => {
        const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
        const r = tf.all(a, [1]);
        expectArraysClose(await r.data(), [0, 0]);
    });
    it('throws when dtype is not boolean', () => {
        const a = tf.tensor2d([1, 1, 0, 0], [2, 2]);
        expect(() => tf.all(a))
            .toThrowError(/Argument 'x' passed to 'all' must be bool tensor, but got float/);
    });
    it('throws when passed a non-tensor', () => {
        expect(() => tf.all({}))
            .toThrowError(/Argument 'x' passed to 'all' must be a Tensor/);
    });
    it('accepts a tensor-like object', async () => {
        const a = [0, 0, 0];
        expectArraysClose(await tf.all(a).data(), 0);
    });
    it('throws error for string tensor', () => {
        expect(() => tf.all(['a']))
            .toThrowError(/Argument 'x' passed to 'all' must be bool tensor, but got string/);
    });
});
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