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cudnn.cpp 2.6 kB

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  1. /**
  2. * \file dnn/src/cuda/convolution3d/forward/cudnn.cpp
  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. #include "./algo.h"
  12. #include "src/cuda/convolution3d/helper.h"
  13. #include "src/cuda/cudnn_wrapper.h"
  14. #include "src/cuda/utils.h"
  15. using namespace megdnn;
  16. using namespace cuda;
  17. using namespace convolution3d;
  18. bool Convolution3DForwardImpl::AlgoCUDNN::is_available(const SizeArgs& args) const {
  19. CUDNNForwardDescs D;
  20. if (!is_cudnn_supported(args))
  21. return false;
  22. args.init_desc(D);
  23. size_t workspace_size;
  24. auto status = cudnnGetConvolutionForwardWorkspaceSize(
  25. args.handle->cudnn_handle(), D.src_desc.desc, D.filter_desc.desc,
  26. D.conv_desc.desc, D.dst_desc.desc, m_cudnn_enum, &workspace_size);
  27. return status == CUDNN_STATUS_SUCCESS;
  28. }
  29. size_t Convolution3DForwardImpl::AlgoCUDNN::get_workspace_in_bytes(
  30. const SizeArgs& args) const {
  31. CUDNNForwardDescs D;
  32. args.init_desc(D);
  33. size_t workspace_size;
  34. auto status = cudnnGetConvolutionForwardWorkspaceSize(
  35. args.handle->cudnn_handle(), D.src_desc.desc, D.filter_desc.desc,
  36. D.conv_desc.desc, D.dst_desc.desc, m_cudnn_enum, &workspace_size);
  37. megdnn_assert(
  38. status == CUDNN_STATUS_SUCCESS,
  39. "conv fwd get workspace failed: %s; info: %s", cudnnGetErrorString(status),
  40. args.to_string().c_str());
  41. return workspace_size;
  42. }
  43. void Convolution3DForwardImpl::AlgoCUDNN::exec(const ExecArgs& args) const {
  44. CUDNNForwardDescs D;
  45. args.init_desc(D);
  46. float alpha = 1.0f, beta = 0.0f;
  47. auto status = cudnnConvolutionForward(
  48. args.handle->cudnn_handle(), &alpha, D.src_desc.desc,
  49. args.src_tensor->raw_ptr(), D.filter_desc.desc,
  50. args.filter_tensor->raw_ptr(), D.conv_desc.desc, m_cudnn_enum,
  51. args.workspace.raw_ptr, args.workspace.size, &beta, D.dst_desc.desc,
  52. args.dst_tensor->raw_ptr());
  53. megdnn_assert(
  54. status == CUDNN_STATUS_SUCCESS, "conv fwd failed: %s; info: %s",
  55. cudnnGetErrorString(status), args.to_string().c_str());
  56. }
  57. void Convolution3DForwardImpl::AlgoPack::fill_cudnn_algos() {
  58. for (auto&& algo : CudnnAlgoPack::conv3d_fwd_algos()) {
  59. cudnn.push_back(algo.first);
  60. }
  61. }
  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