@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
89 lines • 3.72 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, expectArraysEqual } from '../test_util';
describeWithFlags('any', ALL_ENVS, () => {
it('Tensor1D', async () => {
let a = tf.tensor1d([0, 0, 0], 'bool');
expectArraysClose(await tf.any(a).data(), 0);
a = tf.tensor1d([1, 0, 1], 'bool');
expectArraysClose(await tf.any(a).data(), 1);
a = tf.tensor1d([1, 1, 1], 'bool');
expectArraysClose(await tf.any(a).data(), 1);
});
it('ignores NaNs', async () => {
const a = tf.tensor1d([1, NaN, 0], 'bool');
expectArraysEqual(await tf.any(a).data(), 1);
});
it('2D', async () => {
const a = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
expectArraysClose(await tf.any(a).data(), 1);
});
it('2D axis=[0,1]', async () => {
const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
expectArraysClose(await tf.any(a, [0, 1]).data(), 1);
});
it('2D, axis=0', async () => {
const a = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');
let r = tf.any(a, 0);
expect(r.shape).toEqual([2]);
expectArraysClose(await r.data(), [1, 1]);
r = tf.any(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.any(0, true /* keepDims */);
expect(r.shape).toEqual([1, 3]);
expectArraysClose(await r.data(), [1, 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.any(a, 1);
expectArraysClose(await r.data(), [1, 1]);
});
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.any(a, -1);
expectArraysClose(await r.data(), [1, 1]);
});
it('2D, axis=[1]', async () => {
const a = tf.tensor2d([1, 1, 0, 0, 1, 0], [2, 3], 'bool');
const r = tf.any(a, [1]);
expectArraysClose(await r.data(), [1, 1]);
});
it('throws when dtype is not boolean', () => {
const a = tf.tensor2d([1, 1, 0, 0], [2, 2]);
expect(() => tf.any(a))
.toThrowError(/Argument 'x' passed to 'any' must be bool tensor, but got float/);
});
it('throws when passed a non-tensor', () => {
expect(() => tf.any({}))
.toThrowError(/Argument 'x' passed to 'any' must be a Tensor/);
});
it('accepts a tensor-like object', async () => {
const a = [0, 0, 0];
expectArraysClose(await tf.any(a).data(), 0);
});
it('throws error for string tensor', () => {
expect(() => tf.any(['a']))
.toThrowError(/Argument 'x' passed to 'any' must be bool tensor/);
});
});
//# sourceMappingURL=any_test.js.map