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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_NEDEPTHWISECONVOLUTION_H__
#define __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__
#include "arm_compute/core/NEON/kernels/NEDepthwiseConvolutionLayer3x3Kernel.h"
#include "arm_compute/core/NEON/kernels/NEDepthwiseIm2ColKernel.h"
#include "arm_compute/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.h"
#include "arm_compute/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.h"
#include "arm_compute/core/NEON/kernels/NEDirectConvolutionLayerOutputStageKernel.h"
#include "arm_compute/core/NEON/kernels/NEFillBorderKernel.h"
#include "arm_compute/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
class ITensor;
/** Basic function to execute a depthwise convolution for kernel size 3x3xC. This function calls the following NEON kernels:
*
* -# @ref NEDepthwiseConvolutionLayer3x3
* -# @ref NEFillBorderKernel (if pad_x or pad_y > 0)
*
*/
class NEDepthwiseConvolutionLayer3x3 : public IFunction
{
public:
/** Default constructor */
NEDepthwiseConvolutionLayer3x3();
/** Initialize the function's source, destination, kernels and border_size.
*
* @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling).
* @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input.
* @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
* Data type supported: Same as @p input.
* @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] conv_info Padding and stride information to use for the convolution.
*/
void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info);
// Inherited methods overriden:
void run() override;
private:
NEDepthwiseConvolutionLayer3x3Kernel _kernel;
NEDirectConvolutionLayerOutputStageKernel _output_stage_kernel;
NEFillBorderKernel _border_handler;
Tensor _accumulator;
bool _has_bias;
bool _is_quantized;
};
/** Basic function to execute a generic depthwise convolution. This function calls the following NEON kernels:
*
* -# @ref NEDepthwiseIm2ColKernel
* -# @ref NEDepthwiseWeightsReshapeKernel
* -# @ref NEGEMMMatrixVectorMultiplyKernel
* -# @ref NEFillBorderKernel (if pad_x or pad_y > 0)
*
*/
class NEDepthwiseConvolutionLayer : public IFunction
{
public:
/** Default constructor */
NEDepthwiseConvolutionLayer();
/** Initialize the function's source, destination, weights and convolution information.
*
* @param[in, out] input Source tensor. Data type supported: QASYMM8/F32. (Written to only for border filling).
* @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] weights Weights tensor. These are 3D tensors with shape [kernel_x, kernel_y, IFM]. Data type supported: Same as @p input.
* @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
* Data type supported: Same as @p input.
* @param[in] conv_info Padding and stride information to use for the convolution.
*/
void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info);
// Inherited methods overriden:
void run() override;
private:
NEDepthwiseIm2ColKernel _im2col_kernel;
NEDepthwiseWeightsReshapeKernel _weights_reshape_kernel;
NEGEMMMatrixVectorMultiplyKernel _v2mm_kernel;
NEDepthwiseVectorToTensorKernel _vector_to_tensor_kernel;
NEDirectConvolutionLayerOutputStageKernel _output_stage_kernel;
NEFillBorderKernel _v2mm_input_fill_border;
NEFillBorderKernel _v2mm_weights_fill_border;
Tensor _input_reshaped;
Tensor _weights_reshaped;
Tensor _v2mm_output;
Tensor _output_reshaped;
bool _is_quantized;
};
}
#endif /* __ARM_COMPUTE_NEDEPTHWISECONVOLUTION_H__ */
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