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python - 如何在 Windows 7 64 位上使用 theano 设置 cuDnn

转载 作者:太空狗 更新时间:2023-10-29 18:14:24 26 4
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我已经在我的机器上安装了 Theano 框架并启用了 CUDA,但是当我在我的 python 控制台中“导入 theano”时,我收到以下消息:

>>> import theano
Using gpu device 0: GeForce GTX 950 (CNMeM is disabled, CuDNN not available)

现在“CuDNN 不可用”,我从 Nvidia 网站下载了 cuDnn。我还更新了环境中的“路径”,并在“.theanorc.txt”配置文件中添加了“optimizer_including=cudnn”。

然后,我再次尝试,但失败了:

>>> import theano
Using gpu device 0: GeForce GTX 950 (CNMeM is disabled, CuDNN not available)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Anaconda2\lib\site-packages\theano\__init__.py", line 111, in <module>
theano.sandbox.cuda.tests.test_driver.test_nvidia_driver1()
File "C:\Anaconda2\lib\site-packages\theano\sandbox\cuda\tests\test_driver.py", line 31, in test_nvidia_driver1
profile=False)
File "C:\Anaconda2\lib\site-packages\theano\compile\function.py", line 320, in function
output_keys=output_keys)
File "C:\Anaconda2\lib\site-packages\theano\compile\pfunc.py", line 479, in pfunc
output_keys=output_keys)
File "C:\Anaconda2\lib\site-packages\theano\compile\function_module.py", line 1776, in orig_function
output_keys=output_keys).create(
File "C:\Anaconda2\lib\site-packages\theano\compile\function_module.py", line 1456, in __init__
optimizer_profile = optimizer(fgraph)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 101, in __call__
return self.optimize(fgraph)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 89, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 230, in apply
sub_prof = optimizer.optimize(fgraph)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 89, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 230, in apply
sub_prof = optimizer.optimize(fgraph)
File "C:\Anaconda2\lib\site-packages\theano\gof\opt.py", line 89, in optimize
ret = self.apply(fgraph, *args, **kwargs)
File "C:\Anaconda2\lib\site-packages\theano\sandbox\cuda\dnn.py", line 2508, in apply
dnn_available.msg)
AssertionError: cuDNN optimization was enabled, but Theano was not able to use it. We got this error:
Theano can not compile with cuDNN. We got this error:

>>>

谁能帮帮我?谢谢。

最佳答案

应该有一种方法可以通过仅设置 Path 环境变量来实现,但我永远无法让它工作。唯一对我有用的是手动将 CuDNN 文件复制到 CUDA 安装中的相应文件夹中。

例如,如果您的 CUDA 安装在 C:\CUDA\v7.0 中,并且您将 CuDNN 解压缩到 C:\CuDNN,您将按如下方式复制:

  • C:\CuDNN\lib\x64\的内容将被复制到 C:\CUDA\v7.0\lib\x64\
  • C:\CuDNN\include\的内容将被复制到 C:\CUDA\v7.0\include\
  • C:\CuDNN\bin\的内容将被复制到 C:\CUDA\v7.0\bin\

之后它应该可以工作了。

关于python - 如何在 Windows 7 64 位上使用 theano 设置 cuDnn,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36248056/

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