@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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_});