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test_grad_manger.py 296 B

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  1. import numpy as np
  2. import megengine as mge
  3. from megengine import autodiff as ad
  4. def test_attach_in_with_block():
  5. a = mge.Parameter([1.0])
  6. g = ad.GradManager()
  7. with g:
  8. b = a * 3
  9. g.attach(b)
  10. c = b + 1
  11. g.backward(c)
  12. assert int(b.grad.numpy()) == 1

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