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opr_impl.h 2.2 kB

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  1. /**
  2. * \file dnn/src/cuda/matrix_mul/opr_impl.h
  3. * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  4. *
  5. * Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
  6. *
  7. * Unless required by applicable law or agreed to in writing,
  8. * software distributed under the License is distributed on an
  9. * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  10. */
  11. #pragma once
  12. #include "megdnn/oprs.h"
  13. #include <cuda.h>
  14. namespace megdnn {
  15. namespace cuda {
  16. class MatrixMulForwardImpl : public MatrixMulForward {
  17. public:
  18. using MatrixMulForward::MatrixMulForward;
  19. void exec(_megdnn_tensor_in A, _megdnn_tensor_in B, _megdnn_tensor_out C,
  20. _megdnn_workspace workspace) override;
  21. size_t get_workspace_in_bytes(const TensorLayout&, const TensorLayout&,
  22. const TensorLayout&) override;
  23. bool is_thread_safe() const override { return true; }
  24. const char* get_algorithm_set_name() const override {
  25. return "CUDA MATMUL";
  26. }
  27. class AlgoBase;
  28. class AlgoCuBlas;
  29. #if CUDA_VERSION >= 10000
  30. class AlgoUInt4x4x32WMMA;
  31. #endif
  32. #if CUDA_VERSION >= 10010
  33. class AlgoCuBlasLt;
  34. #endif
  35. class AlgoNaive;
  36. #if !MEGDNN_DISABLE_FLOAT16
  37. class AlgoBFloat16;
  38. #endif
  39. #if CUDA_VERSION >= 9020
  40. class AlgoFloat32SIMT;
  41. class AlgoFloat32SIMTSplitK;
  42. class AlgoFloat32SIMTGemvBatchedStrided;
  43. #endif
  44. class AlgoPack;
  45. static const AlgoPack& algo_pack() {
  46. return sm_algo_pack;
  47. }
  48. Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;
  49. protected:
  50. std::vector<Algorithm*> get_all_algorithms(const TensorLayout& A,
  51. const TensorLayout& B,
  52. const TensorLayout& C) override;
  53. Algorithm* get_algorithm_heuristic(
  54. const TensorLayout& A, const TensorLayout& B, const TensorLayout& C,
  55. size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
  56. const AlgoAttribute& negative_attr) override;
  57. private:
  58. static AlgoPack sm_algo_pack;
  59. };
  60. } // namespace cuda
  61. } // namespace megdnn
  62. // vim: syntax=cpp.doxygen

MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境,不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序,请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉,欢迎访问 MegStudio 平台