@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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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('slice3d', ALL_ENVS, () => {
it('slices 1x1x1 into shape 1x1x1 (effectively a copy)', async () => {
const a = tf.tensor3d([[[5]]], [1, 1, 1]);
const result = tf.slice3d(a, [0, 0, 0], [1, 1, 1]);
expect(result.shape).toEqual([1, 1, 1]);
expectArraysClose(await result.data(), [5]);
});
it('slices 2x2x2 array into 1x2x2 starting at [1, 0, 0]', async () => {
const a = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
const result = tf.slice3d(a, [1, 0, 0], [1, 2, 2]);
expect(result.shape).toEqual([1, 2, 2]);
expectArraysClose(await result.data(), [5, 6, 7, 8]);
});
it('slices 2x2x2 array into 2x1x1 starting at [0, 1, 1]', async () => {
const a = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
const result = tf.slice3d(a, [0, 1, 1], [2, 1, 1]);
expect(result.shape).toEqual([2, 1, 1]);
expectArraysClose(await result.data(), [4, 8]);
});
it('accepts a tensor-like object', async () => {
const a = [[[5]]]; // 1x1x1
const result = tf.slice3d(a, [0, 0, 0], [1, 1, 1]);
expect(result.shape).toEqual([1, 1, 1]);
expectArraysClose(await result.data(), [5]);
});
});
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