/** * \file dnn/src/cuda/conv_bias/opr_impl.h * MegEngine is Licensed under the Apache License, Version 2.0 (the "License") * * Copyright (c) 2014-2020 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 "../elemwise/opr_impl.h" #include "megdnn/oprs.h" namespace megdnn { namespace cuda { class ConvBiasForwardImpl : public ConvBiasForward { public: using ConvBiasForward::ConvBiasForward; void exec(_megdnn_tensor_in src, _megdnn_tensor_in filter, _megdnn_tensor_in bias, _megdnn_tensor_in z, _megdnn_tensor_out dst, const PreprocessedFilter* preprocessed_filter, _megdnn_workspace workspace) override; std::vector get_all_algorithms( const TensorLayout& src, const TensorLayout& filter, const TensorLayout& bias, const TensorLayout& z, const TensorLayout& dst) override; Algorithm* get_algorithm_heuristic(const TensorLayout& src, const TensorLayout& filter, const TensorLayout& bias, const TensorLayout& z, const TensorLayout& dst, size_t workspace_limit_in_bytes, bool reproducible) override; size_t get_workspace_in_bytes(const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&, const PreprocessedFilter*) override; size_t get_preprocess_workspace_in_bytes(const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&) override; SmallVector deduce_preprocessed_filter_layout( const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&, const TensorLayout&) override; void exec_preprocess(const TensorLayout&, _megdnn_tensor_in, const TensorLayout&, const TensorLayout&, const TensorLayout&, PreprocessedFilter*, _megdnn_workspace) override; const char* get_algorithm_set_name() const override; class AlgoBase; class AlgoCUDNNConvBiasActivation; class AlgoChanwise; class AlgoChanwiseSmall; class AlgoChanwise8x8x32; class AlgoCUDNNConv; class AlgoInplaceMatmul; class AlgoMatmul; class AlgoMatmul8x8x32; class Algo1x1; class AlgoBatchedMatmul; class AlgoGroupConvGeneral; class AlgoQUInt4x4x32WMMA; class AlgoInt8CHWN4DotProdImplicitGemm; class AlgoInt8NCHW4DotProdImplicitGemm; class AlgoInt8CHWN4IMMAImplicitGemm; class AlgoInt8NCHW4IMMAImplicitGemm; class AlgoInt8CHWN4IMMAImplicitGemmReorderFilter; class AlgoInt8CHWN4IMMAImplicitGemmUnrollWidth; class AlgoInt8NCHW32IMMAImplicitGemm; class AlgoBFloat16; class AlgoPack; static const AlgoPack& algo_pack() { return sm_algo_pack; } private: static AlgoPack sm_algo_pack; }; } // namespace cuda } // namespace megdnn // vim: syntax=cpp.doxygen