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/**
* \file dnn/src/fallback/conv_bias/common.h
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
* implied.
*/
#pragma once
#include <stdint.h>
#include "megdnn/oprs.h"
#include "src/common/postprocess.h"
#include "src/common/utils.h"
namespace megdnn {
using NonlineMode = ConvBias::Param::NonlineMode;
using BiasMode = ConvBiasForward::BiasMode;
#define DISPATCH_GEMM_NONLINE(_gemm, _gemm_midout_enum, _bias, _bias_midout_enum) \
switch (param.nonlineMode) { \
case param::ConvBias::NonlineMode::IDENTITY: { \
DISPATCH_GEMM_STRATEGY( \
_gemm, _gemm_midout_enum, _bias, _bias_midout_enum, identity, 0); \
break; \
} \
case param::ConvBias::NonlineMode::RELU: { \
DISPATCH_GEMM_STRATEGY( \
_gemm, _gemm_midout_enum, _bias, _bias_midout_enum, relu, 1); \
break; \
} \
case param::ConvBias::NonlineMode::H_SWISH: { \
DISPATCH_GEMM_STRATEGY( \
_gemm, _gemm_midout_enum, _bias, _bias_midout_enum, hswish, 2); \
break; \
} \
default: \
megdnn_assert(0); \
break; \
}
#define DISPATCH_GEMM_BIAS(_gemm, _gemm_midout_enum) \
switch (param.bias_mode) { \
case BiasMode::NO_BIAS: \
DISPATCH_GEMM_NONLINE(_gemm, _gemm_midout_enum, nobias, 0) \
break; \
case BiasMode::BROADCAST_CHANNEL_BIAS: \
DISPATCH_GEMM_NONLINE(_gemm, _gemm_midout_enum, bias_channel, 1) \
break; \
default: \
megdnn_assert(0); \
break; \
}
#define DISPATCH_CONV_NONLINE(i, midout_tag, stride, _conv, BIAS_MODE, dst_type) \
switch (param.nonlineMode) { \
case param::ConvBias::NonlineMode::IDENTITY: { \
DISPATCH_CONV_STRATEGY( \
i, midout_tag, stride, _conv, BIAS_MODE, \
TypeCvtOp<dt_qint32 MEGDNN_COMMA dst_type>, 0); \
break; \
} \
case param::ConvBias::NonlineMode::RELU: { \
DISPATCH_CONV_STRATEGY( \
i, midout_tag, stride, _conv, BIAS_MODE, \
ReluOp<dt_qint32 MEGDNN_COMMA dst_type>, 1); \
break; \
} \
case param::ConvBias::NonlineMode::H_SWISH: { \
DISPATCH_CONV_STRATEGY( \
i, midout_tag, stride, _conv, BIAS_MODE, \
HSwishOp<dt_qint32 MEGDNN_COMMA dst_type>, 2); \
break; \
} \
default: \
megdnn_assert(0); \
break; \
}
#define DISPATCH_CONV_BIAS(i, midout_tag, stride, _conv, dst_type) \
switch (param.bias_mode) { \
case BiasMode::NO_BIAS: \
DISPATCH_CONV_NONLINE( \
i, midout_tag, stride, _conv, BiasMode::NO_BIAS, dst_type) \
break; \
case BiasMode::BROADCAST_CHANNEL_BIAS: \
DISPATCH_CONV_NONLINE( \
i, midout_tag, stride, _conv, BiasMode::BROADCAST_CHANNEL_BIAS, \
dst_type) \
break; \
default: \
megdnn_assert(0); \
break; \
}
#define DISPATCH_CONV_STRATEGY( \
i, midout_tag, stride, conv, BIAS_MODE, Op, _nonline_midout_enum) \
MIDOUT_BEGIN(midout_tag, i, stride, midout_iv(BIAS_MODE), _nonline_midout_enum) { \
return {{conv<i, BIAS_MODE, Op>, {1_z, 1_z, 1_z}}}; \
} \
MIDOUT_END()
#define DISPATCH_FILTER(filter, kern, arg...) \
switch (filter) { \
case 2: \
kern(2, ##arg); \
break; \
case 3: \
kern(3, ##arg); \
break; \
case 5: \
kern(5, ##arg); \
break; \
case 7: \
kern(7, ##arg); \
break; \
default: \
megdnn_assert(0); \
break; \
}
#define DISPATCH_FILTER_CHANNEL_WISE(filter, kern, arg...) \
switch (filter) { \
case 2: \
kern(2, ##arg); \
break; \
case 3: \
kern(3, ##arg); \
break; \
case 5: \
kern(5, ##arg); \
break; \
default: \
megdnn_assert(0); \
break; \
}
#define MEGDNN_WINOGRAD_ALGO_FUN_DECLARE(_algo_data_type) \
bool usable( \
const NCBKernSizeParam& param, \
AlgoSelectionStrategy algo_selection_strategy) const override; \
size_t get_workspace(const NCBKernSizeParam& param) const override; \
virtual SmallVector<NCBKern> dispatch_kerns(const NCBKernSizeParam& param) \
const override; \
SmallVector<TensorLayout> deduce_preprocessed_filter_layout( \
const NCBKernSizeParam& param) const override; \
size_t get_preprocess_workspace(const NCBKernSizeParam& param) const override; \
virtual SmallVector<NCBKern> dispatch_preprocess_kerns( \
const NCBKernSizeParam& param) const override; \
ConvAlgoTypePack get_algo_type() const override { \
return {_algo_data_type, AlgoCategory::WINOGRAD}; \
} \
std::string param() const override { \
std::string ret; \
serialize_write_pod(m_tile_size, ret); \
return ret; \
} \
\
private: \
fallback::MatrixMulImpl::AlgoBase* m_matmul_algo; \
mutable std::string m_name; \
uint32_t m_tile_size;
} // namespace megdnn
// vim: syntax=cpp.doxygen