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/*
* Copyright (c) 2017-2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __ARM_COMPUTE_NEDEPTHWISEIM2COLKERNEL_H__
#define __ARM_COMPUTE_NEDEPTHWISEIM2COLKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
#include "arm_compute/core/Size2D.h"
namespace arm_compute
{
class ITensor;
/** Interface for the depthwise im2col reshape kernel.
* This kernel reshape the input low 3 dimensions to a new 3D shape where the output's first dimension is
* the linear patch size (FILTER_WIDTH * FILTER_HEIGHT) and second dimension is number of patches in per image and third dimension unchanged .
**/
class NEDepthwiseIm2ColKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEDepthwiseIm2ColKernel";
}
/** Default constructor */
NEDepthwiseIm2ColKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDepthwiseIm2ColKernel(const NEDepthwiseIm2ColKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDepthwiseIm2ColKernel &operator=(const NEDepthwiseIm2ColKernel &) = delete;
/** Allow instances of this class to be moved */
NEDepthwiseIm2ColKernel(NEDepthwiseIm2ColKernel &&) = default;
/** Allow instances of this class to be moved */
NEDepthwiseIm2ColKernel &operator=(NEDepthwiseIm2ColKernel &&) = default;
/** Set the input and output of the kernel.
*
* @param[in] input The input tensor to convert. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
* @param[out] output The output tensor. First 3 lower dimensions represent a transform of each 3D input,
* while every dimension above 3 represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
* @param[in] has_bias Boolean that specifies if the depthwise convolution has bias.
* @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*/
void configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1,
const Size2D &dilation = Size2D(1U, 1U));
/** Static function to check if given info will lead to a valid configuration of @ref NEDepthwiseIm2ColKernel
*
* @param[in] input The input tensor info to convert. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs. Data types supported: QASYMM8/F16/F32
* @param[in] output The output tensor info. First 3 lower dimensions represent a transform of each 3D input,
* while every dimension above 3 represents a batch. Data types supported: Same as @p input
* @param[in] kernel_dims The kernel dimensions (width and height).
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
* @param[in] has_bias Boolean that specifies if the depthwise convolution has bias.
* @param[in] depth_multiplier (Optional) Multiplier to apply to the input's depth in order to retrieve the output's depth. Defaults to 1.
* @param[in] dilation (Optional) Dilation, in elements, across x and y. Defaults to (1, 1).
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias = false, unsigned int depth_multiplier = 1,
const Size2D &dilation = Size2D(1U, 1U));
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
/** Template function to run the im2col used for the depthwise convolution layer case
*
* @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
*/
template <typename T>
void run_generic(const Window &window);
/** Common signature for all the specialised depthwise im2col functions
*
* @param[in] window Region on which to execute the kernel.
*/
using DepthwiseIm2ColFunctionPtr = void (NEDepthwiseIm2ColKernel::*)(const Window &window);
private:
DepthwiseIm2ColFunctionPtr _func;
const ITensor *_input;
ITensor *_output;
Size2D _kernel_dims;
PadStrideInfo _conv_info;
bool _has_bias;
unsigned int _depth_multiplier;
Size2D _dilation;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEDEPTHWISEIM2COLKERNEL_H__ */
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