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/*
* Copyright (c) 2017-2018 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_NEDIRECTCONVOLUTIONLAYERKERNEL_H__
#define __ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** NEON interface for Direct Convolution Layer kernel */
class NEDirectConvolutionLayerKernel : public INEKernel
{
public:
const char *name() const override
{
return "NEDirectConvolutionLayerKernel";
}
/** Default constructor */
NEDirectConvolutionLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDirectConvolutionLayerKernel(const NEDirectConvolutionLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEDirectConvolutionLayerKernel &operator=(const NEDirectConvolutionLayerKernel &) = delete;
/** Allow instances of this class to be moved */
NEDirectConvolutionLayerKernel(NEDirectConvolutionLayerKernel &&) = default;
/** Allow instances of this class to be moved */
NEDirectConvolutionLayerKernel &operator=(NEDirectConvolutionLayerKernel &&) = default;
/** Default destructor */
~NEDirectConvolutionLayerKernel() = default;
/** Set the input, weights, and output tensors.
*
* @note: DirectConvolution only works in the following configurations:
* 1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3
* 3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3
*
* @param[in] input The input tensor to convolve. 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: F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.
* @param[out] output Output tensor.
* The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
*/
void configure(const ITensor *input, const ITensor *weights, ITensor *output, const PadStrideInfo &conv_info);
/** Static function to check if given info will lead to a valid configuration of @ref NEDirectConvolutionLayerKernel
*
* @param[in] input The input tensor to convolve. 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: F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
* The 3rd dimension must be the same as the input's volume 3rd dimension.
* Data type supported:Same as @p input.
* @param[in] output Output tensor.
* The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: F16/F32
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *output, const PadStrideInfo &conv_info);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
BorderSize border_size() const override;
private:
const ITensor *_input;
const ITensor *_weights;
ITensor *_output;
PadStrideInfo _conv_info;
BorderSize _border_size;
unsigned int _kernel_size;
unsigned int _num_weight_elems_read_per_row;
unsigned int _num_elems_read_per_iteration;
unsigned int _num_elems_written_per_iteration;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEDIRECTCONVOLUTIONLAYERKERNEL_H__ */
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