#pragma once
#include "src/arm_common/matrix_mul/opr_impl.h"
#include "src/fallback/matrix_mul/gemm_common.h"
namespace megdnn {
namespace arm_common {
class MatrixMulImpl::AlgoInt8x8x16 final : public AlgoBase {
public:
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "ARM_COMMON_INT8X8X16"; }
bool usable(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override;
kern_t get_kern(const KernSizeParam&) const override;
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 4, AlgoDataType::INT8X8X16, DEFAULT)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_INT8X8X16)
};
class MatrixMulImpl::AlgoInt8x8x32Gemv : public AlgoBase {
public:
AlgoAttribute attribute() const override {
return AlgoAttribute::REPRODUCIBLE | AlgoAttribute::USABLE_DEPEND_ON_SHAPE;
}
const char* name() const override { return "ARM_COMMON_INT8X8X32_GEMV"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 2, AlgoDataType::QINT8X8X32, DEFAULT)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_INT8X8X32_GEMV)
};
class MatrixMulImpl::AlgoInt8x8x32GemvMK4 : public AlgoBase {
public:
AlgoAttribute attribute() const override {
return AlgoAttribute::REPRODUCIBLE | AlgoAttribute::USABLE_DEPEND_ON_SHAPE;
}
const char* name() const override { return "ARM_COMMON_INT8X8X32_GEMV_MK4"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 2, AlgoDataType::QINT8X8X32, MK4)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_INT8X8X32_GEMV_MK4)
};
#if MGB_ENABLE_DOT
class MatrixMulImpl::AlgoInt8x8x32GemvMK4Dot : public AlgoBase {
public:
AlgoAttribute attribute() const override {
return AlgoAttribute::REPRODUCIBLE | AlgoAttribute::USABLE_DEPEND_ON_SHAPE;
}
const char* name() const override { return "ARM_COMMON_INT8X8X32_GEMV_MK4_DOT"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 2, AlgoDataType::QINT8X8X32, MK4_DOT)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_INT8X8X32_GEMV_MK4_DOT)
};
#endif
class MatrixMulImpl::AlgoF32Gemv : public AlgoBase {
protected:
~AlgoF32Gemv() = default;
public:
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "ARM_COMMON_F32_GEMV"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 4, AlgoDataType::FLOAT32, DEFAULT)
};
class MatrixMulImpl::AlgoF32GemvMK4 : public AlgoBase {
public:
AlgoAttribute attribute() const override {
return AlgoAttribute::REPRODUCIBLE | AlgoAttribute::USABLE_DEPEND_ON_SHAPE;
}
const char* name() const override { return "ARM_COMMON_F32_GEMV_MK4"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(4, 1, 1, 4, AlgoDataType::FLOAT32, MK4)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_F32_GEMV_MK4)
};
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
class MatrixMulImpl::AlgoF16Gemv : public AlgoBase {
public:
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "ARM_COMMON_F16_GEMV"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(8, 16, 1, 2, AlgoDataType::FLOAT16, DEFAULT)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_F16_GEMV)
};
#endif
class MatrixMulImpl::AlgoGevm : public AlgoBase {
public:
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "ARM_COMMON_GEVM"; }
bool usable(const KernSizeParam&) const override;
bool preferred(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override { return 0; }
kern_t get_kern(const KernSizeParam&) const override;
AlgoSet algoset() const override { return AlgoSet::ALGO_TYPE_GEMV; }
PackMode packmode() const override { return PackMode::NO_PACK; }
MEGDNN_OVERRIDE_MATMUL_DESC(
1, 1, 1, 4,
static_cast<AlgoDataType>(
static_cast<uint32_t>(AlgoDataType::FLOAT16) |
static_cast<uint32_t>(AlgoDataType::FLOAT32) |
static_cast<uint32_t>(AlgoDataType::QINT8X8X32)),
DEFAULT)
MEGDNN_DECL_ALGO_TYPE(ARM_COMMON_GEVM)
};
} }