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/*
* Copyright (c) 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.
*/
#pragma once
#include "arm_compute/core/NEON/kernels/convolution/depthwise/depthwise.hpp"
#include "arm_compute/core/NEON/kernels/convolution/common/qasymm8.hpp"
namespace depthwise
{
namespace nck = neon_convolution_kernels;
template <
unsigned int OutputTileRows, unsigned int OutputTileCols,
unsigned int KernelRows, unsigned int KernelCols,
unsigned int StrideRows, unsigned int StrideCols
>
class QAsymm8DepthwiseConvolution : public DepthwiseConvolutionBase<
OutputTileRows, OutputTileCols,
KernelRows, KernelCols,
StrideRows, StrideCols,
uint8_t, int32_t, uint8_t,
QAsymm8DepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows, KernelCols, StrideRows, StrideCols>
>
{
using Base = DepthwiseConvolutionBase<
OutputTileRows, OutputTileCols,
KernelRows, KernelCols,
StrideRows, StrideCols,
uint8_t, int32_t, uint8_t,
QAsymm8DepthwiseConvolution<OutputTileRows, OutputTileCols, KernelRows, KernelCols, StrideRows, StrideCols>
>;
friend Base;
using InputType = typename Base::InputType;
using OutputType = typename Base::OutputType;
public:
QAsymm8DepthwiseConvolution(
int n_batches, int n_input_rows, int n_input_cols, int n_channels,
nck::ActivationFunction activation,
const qasymm8::QAsymm8Params& weight_quantisation,
const qasymm8::QAsymm8Params& input_quantisation,
const qasymm8::QAsymm8Params& output_quantisation,
unsigned int padding_top,
unsigned int padding_left,
unsigned int padding_bottom,
unsigned int padding_right
);
QAsymm8DepthwiseConvolution(
int n_batches, int n_input_rows, int n_input_cols, int n_channels,
nck::ActivationFunction activation,
const qasymm8::QAsymm8Params& weight_quantisation,
const qasymm8::QAsymm8Params& input_quantisation,
const qasymm8::QAsymm8Params& output_quantisation,
const qasymm8::QAsymm8RescaleParams& rescale_parameters,
unsigned int padding_top,
unsigned int padding_left,
unsigned int padding_bottom,
unsigned int padding_right
);
protected:
static nck::ActivationFunction get_activation_fn(
nck::ActivationFunction activation,
const qasymm8::QAsymm8Params& output_quantisation
);
uint8_t _input_padding_value(void) const;
void _pack_params(
void *buffer,
const void *weights,
unsigned int weight_row_stride,
unsigned int weight_col_stride,
const void *biases=nullptr
) const;
template <nck::ActivationFunction Activation>
void execute_tile(
int n_channels,
const void* packed_params,
const uint8_t* inptr,
unsigned int in_row_stride,
unsigned int in_col_stride,
uint8_t* outptr,
unsigned int out_row_stride,
unsigned int out_col_stride
);
template <nck::ActivationFunction Activation>
void execute_tile(
int n_channels,
const void* packed_params,
const uint8_t* inptrs[Base::inner_tile_rows][Base::inner_tile_cols],
uint8_t* outptrs[Base::output_tile_rows][Base::output_tile_cols]
);
private:
// Quantization parameters
const qasymm8::QAsymm8Params _weights_quant, _inputs_quant, _output_quant;
const qasymm8::QAsymm8RescaleParams rescale_parameters;
};
} // namespace depthwise
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