#pragma once
#include "megdnn/oprs.h"
#include "src/cuda/matrix_mul/cublasLt_wrapper.h"
namespace megdnn {
namespace cuda {
class BatchedMatrixMulForwardImpl : public BatchedMatrixMulForward {
public:
using BatchedMatrixMulForward::BatchedMatrixMulForward;
BatchedMatrixMulForwardImpl(Handle* handle) : BatchedMatrixMul(handle) {}
class AlgoBase;
class AlgoBruteForce;
class AlgoCublas;
#if CUDA_VERSION >= 10010
class AlgoCublasLt;
#endif
class AlgoInt8x8x32;
class AlgoPack;
void exec(
_megdnn_tensor_in A, _megdnn_tensor_in B, _megdnn_tensor_out C,
_megdnn_workspace workspace) override;
size_t get_workspace_in_bytes(
const TensorLayout& A, const TensorLayout& B,
const TensorLayout& C) override;
const char* get_algorithm_set_name() const override { return "BATCHED_MATMUL"; }
bool is_thread_safe() const override { return true; }
static const AlgoPack& algo_pack() { return sm_algo_pack; }
Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;
protected:
std::vector<Algorithm*> get_all_algorithms(
const TensorLayout& A, const TensorLayout& B,
const TensorLayout& C) override;
std::vector<Algorithm*> get_all_algorithms_safe(
const TensorLayout& A, const TensorLayout& B,
const TensorLayout& C) override;
Algorithm* get_algorithm_heuristic(
const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
const AlgoAttribute& negative_attr) override;
private:
static AlgoPack sm_algo_pack;
};
} }