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.

imperative_rt.cpp 1.4 kB

12345678910111213141516171819202122232425262728293031323334353637383940414243
  1. /**
  2. * \file imperative/python/src/imperative_rt.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 "./imperative_rt.h"
  12. #include <future>
  13. #include <variant>
  14. #include <unordered_map>
  15. #include <pybind11/numpy.h>
  16. #include <pybind11/operators.h>
  17. #include "megbrain/imperative.h"
  18. #include "megbrain/imperative/interpreter.h"
  19. #include "megbrain/imperative/ops/opr_attr.h"
  20. #include "./helper.h"
  21. #include "./common.h"
  22. namespace py = pybind11;
  23. using namespace mgb;
  24. using namespace imperative;
  25. using namespace interpreter;
  26. void init_imperative_rt(py::module m) {
  27. auto make_backward_graph = [](
  28. const OpDef& def,
  29. const SmallVector<LogicalTensorDesc>& inputs,
  30. const SmallVector<bool>& input_requires_grad,
  31. const SmallVector<bool>& output_has_grad){
  32. auto result = OpDef::make_backward_graph(def, inputs, input_requires_grad, output_has_grad);
  33. return std::make_tuple("backward_graph", result.save_for_backward, result.input_has_grad);
  34. };
  35. m.def("make_backward_graph", make_backward_graph);
  36. }

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