Question

我已经在我的机器上安装了Theano框架并启用了CUDA，但是当我＆＃34;导入theano＆＃34;在我的python控制台中，我收到以下消息：

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

现在＆＃34; CuDNN不可用＆＃34;，我从Nvidia网站下载了cuDnn。我还更新了路径＆＃39;在环境中，并添加了“optimizer_including = cudnn＆＃39;在＆＃39; .theanorc.txt＆＃39;配置文件。

然后，我再次尝试，但失败了，用：

>>> 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？感谢。

Answer 1

应该有一种方法可以通过仅设置Path环境变量来实现它，但我永远无法使其工作。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安装位于C：\ CUDA \ v7.0中，并且您将CuDNN解压缩到C：\ CuDNN，则将按如下方式复制：

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 \

之后它应该有用。

Answer 2

除了你所做的所有内容之外，我还更新了我的主文件夹中.theanorc.txt的内容，之后它就可以了。

[lib] 
#cnmem=1.0 
cudnn=1.0

如何在Windows 7 64位

2 个答案: