/** * \file dnn/src/rocm/batched_matrix_mul/opr_impl.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 "megdnn/oprs.h" namespace megdnn { namespace rocm { class BatchedMatrixMulForwardImpl : public BatchedMatrixMulForward { public: using BatchedMatrixMulForward::BatchedMatrixMulForward; 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&, const TensorLayout&, const TensorLayout&) override; bool is_thread_safe() const override { return true; } class AlgoBase; class AlgoBlas; class AlgoPack; static const AlgoPack& algo_pack() { return sm_algo_pack; } Algorithm* get_algorithm_from_desc(const AlgorithmDesc&) override; private: std::vector get_all_algorithms( 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& /*attr*/) override; const char* get_algorithm_set_name() const override { return "ROCM BATCHED MATMUL"; } static AlgoPack sm_algo_pack; }; } // namespace rocm } // namespace megdnn // vim: syntax=cpp.doxygen