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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2018 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 {ENGINE} from '../engine'; import {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor'; import {convertToTensor} from '../tensor_util_env'; import {TensorLike} from '../types'; import * as util from '../util'; import {op} from './operation'; /** * Reverses a `tf.Tensor1D`. * * @param x The input tensor. */ function reverse1d_(x: Tensor1D|TensorLike): Tensor1D { const $x = convertToTensor(x, 'x', 'reverse'); util.assert( $x.rank === 1, () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`); return reverse($x, 0); } /** * Reverses a `tf.Tensor2D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the * range [-rank(x), rank(x)). Defaults to all axes. */ function reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D { const $x = convertToTensor(x, 'x', 'reverse'); util.assert( $x.rank === 2, () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`); return reverse($x, axis); } /** * Reverses a `tf.Tensor3D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the * range [-rank(x), rank(x)). Defaults to all axes. */ function reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D { const $x = convertToTensor(x, 'x', 'reverse'); util.assert( $x.rank === 3, () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`); return reverse($x, axis); } /** * Reverses a `tf.Tensor4D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the * range [-rank(x), rank(x)). Defaults to all axes. */ function reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D { const $x = convertToTensor(x, 'x', 'reverse'); util.assert( $x.rank === 4, () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`); return reverse($x, axis); } /** * Reverses a `tf.Tensor` along a specified axis. * * Also available are stricter rank-specific methods that assert that `x` is * of the given rank: * - `tf.reverse1d` * - `tf.reverse2d` * - `tf.reverse3d` * - `tf.reverse4d` * * Except `tf.reverse1d` (which does not have axis param), all methods have * same signature as this method. * * ```js * const x = tf.tensor1d([1, 2, 3, 4]); * * x.reverse().print(); * ``` * * ```js * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]); * * const axis = 1; * x.reverse(axis).print(); * ``` * @param x The input tensor to be reversed. * @param axis The set of dimensions to reverse. Must be in the * range [-rank(x), rank(x)). Defaults to all axes. */ /** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */ function reverse_<T extends Tensor>( x: T|TensorLike, axis?: number|number[]): T { const $x = convertToTensor(x, 'x', 'reverse'); if ($x.rank === 0) { return $x.clone(); } const axes = util.parseAxisParam(axis, $x.shape); const grad = (dy: T) => { return {$x: () => dy.reverse(axes)}; }; const res = ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad); return res.reshapeAs($x); } export const reverse = op({reverse_}); export const reverse1d = op({reverse1d_}); export const reverse2d = op({reverse2d_}); export const reverse3d = op({reverse3d_}); export const reverse4d = op({reverse4d_});