#pragma once
#include "megdnn/thin/small_vector.h"
#include "src/common/utils.h"
#include "src/fallback/conv_bias/opr_impl.h"
namespace megdnn {
namespace fallback {
class ConvBiasImpl::AlgoConv1x1Gemv final : public AlgoBase {
public:
AlgoConv1x1Gemv() = default;
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "CONV1x1_GEMV"; }
bool usable(
const NCBKernSizeParam& param,
AlgoSelectionStrategy algo_selection_strategy) const override;
size_t get_workspace(const NCBKernSizeParam& param) const override;
SmallVector<NCBKern> dispatch_kerns(const NCBKernSizeParam& param) const override;
bool is_preferred(const NCBKernSizeParam&) const override;
ConvAlgoTypePack get_algo_type() const override {
auto support_data_type = static_cast<AlgoDataType>(
static_cast<uint32_t>(AlgoDataType::FLOAT16) |
static_cast<uint32_t>(AlgoDataType::FLOAT32) |
static_cast<uint32_t>(AlgoDataType::INT8X8X16) |
static_cast<uint32_t>(AlgoDataType::QINT8X8X32) |
static_cast<uint32_t>(AlgoDataType::QUINT8X8X32));
return {support_data_type, AlgoCategory::IM2COL};
}
MEGDNN_DECL_ALGO_TYPE(FB_CONV1x1_GEMV)
protected:
size_t get_oc_tile_size_heuristic(const NCBKernSizeParam& param) const;
};
} }