You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

roi_copy.h 1.9 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465
  1. /**
  2. * \file dnn/test/common/roi_copy.h
  3. * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  4. *
  5. * Copyright (c) 2014-2020 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/opr_param_defs.h"
  13. #include "megdnn/basic_types.h"
  14. namespace megdnn {
  15. namespace test {
  16. namespace roi_copy {
  17. struct TestArg {
  18. param::ROICopy param;
  19. TensorShape src;
  20. TestArg(param::ROICopy param_, TensorShape src_)
  21. : param(param_), src(src_) {}
  22. };
  23. static inline std::vector<TestArg> get_args() {
  24. std::vector<TestArg> args;
  25. param::ROICopy cur_param;
  26. cur_param.row_from = 2;
  27. cur_param.row_to = 5;
  28. cur_param.col_from = 3;
  29. cur_param.col_to = 5;
  30. //! Inner region
  31. args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
  32. args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
  33. //! row start from begin
  34. cur_param.row_from = 0;
  35. args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
  36. args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
  37. //! col start from begin
  38. cur_param.col_from = 0;
  39. args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
  40. args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
  41. //! col end to the end
  42. cur_param.col_to = 8;
  43. args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
  44. args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
  45. //! row end to the end
  46. cur_param.row_to = 7;
  47. args.emplace_back(cur_param, TensorShape{2, 7, 8, 1});
  48. args.emplace_back(cur_param, TensorShape{2, 7, 8, 3});
  49. return args;
  50. }
  51. } // namespace roi_copy
  52. } // namespace test
  53. } // namespace megdnn
  54. // 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