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.

external.py 2.4 kB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788
  1. # -*- coding: utf-8 -*-
  2. # MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  3. #
  4. # Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
  5. #
  6. # Unless required by applicable law or agreed to in writing,
  7. # software distributed under the License is distributed on an
  8. # "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  9. # pylint: disable=redefined-builtin
  10. import numpy as np
  11. from ..functional.external import (
  12. atlas_runtime_opr,
  13. cambricon_runtime_opr,
  14. tensorrt_runtime_opr,
  15. )
  16. from .module import Module
  17. class TensorrtRuntimeSubgraph(Module):
  18. r"""Load a serialized TensorrtRuntime subgraph.
  19. See :func:`~.tensorrt_runtime_opr` for more details.
  20. """
  21. def __init__(self, data, **kwargs):
  22. super(TensorrtRuntimeSubgraph, self).__init__(**kwargs)
  23. self._data = data
  24. @property
  25. def data(self):
  26. return self._data
  27. @data.setter
  28. def data(self, val):
  29. self._data = np.frombuffer(val, dtype=np.uint8)
  30. def forward(self, *inputs):
  31. return tensorrt_runtime_opr(inputs, data=self._data)
  32. class CambriconRuntimeSubgraph(Module):
  33. r"""Load a serialized CambriconRuntime subgraph.
  34. See :func:`~.cambricon_runtime_opr` for more details.
  35. """
  36. def __init__(self, data, symbol, tensor_dim_mutable, **kwargs):
  37. super(CambriconRuntimeSubgraph, self).__init__(**kwargs)
  38. self._data = data
  39. self.symbol = symbol
  40. self.tensor_dim_mutable = tensor_dim_mutable
  41. @property
  42. def data(self):
  43. return self._data
  44. @data.setter
  45. def data(self, val):
  46. self._data = np.frombuffer(val, dtype=np.uint8)
  47. def forward(self, *inputs):
  48. outputs = cambricon_runtime_opr(
  49. inputs, self._data, self.symbol, self.tensor_dim_mutable
  50. )
  51. return outputs
  52. class AtlasRuntimeSubgraph(Module):
  53. r"""Load a serialized AtlasRuntime subgraph.
  54. See :func:`~.atlas_runtime_opr` for more details.
  55. """
  56. def __init__(self, data, **kwargs):
  57. super(AtlasRuntimeSubgraph, self).__init__(**kwargs)
  58. self._data = data
  59. @property
  60. def data(self):
  61. return self._data
  62. @data.setter
  63. def data(self, val):
  64. self._data = np.frombuffer(val, dtype=np.uint8)
  65. def forward(self, *inputs):
  66. return atlas_runtime_opr(inputs, data=self._data)

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