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test_external.py 1.3 kB

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  1. # -*- coding: utf-8 -*-
  2. # MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
  3. #
  4. # Copyright (c) 2014-2020 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. import os
  10. import numpy as np
  11. import megengine as mge
  12. from megengine import tensor
  13. from megengine.module import Module
  14. from megengine.module.external import CambriconSubgraph
  15. class MyModule(Module):
  16. def __init__(self, data):
  17. super().__init__()
  18. self.cambricon = CambriconSubgraph(data, "subnet0", True)
  19. def forward(self, inputs):
  20. out = self.cambricon(inputs)
  21. return out
  22. def test_cambricon_module():
  23. model = "CambriconRuntimeOprTest.MutableBatchSize.mlu"
  24. model = os.path.join(os.path.dirname(__file__), model)
  25. with open(model, "rb") as f:
  26. data = f.read()
  27. m = MyModule(data)
  28. inputs = []
  29. inputs.append(tensor(dtype=np.float16, device="cambricon0"))
  30. inputs[0].set_value(np.random.normal(size=(1, 64, 32, 32)).astype(np.float16))
  31. def inference(inps):
  32. pred = m(inps)
  33. return pred
  34. pred = inference(inputs)

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