如何在Windows764位上使用theano设置cuDnn |
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我Theano在我的机器上安装了框架并启用了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cuDnn从Nvidia网站下载.我还更新了环境中的'path',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 "", line 1, in File "C:\Anaconda2\lib\site-packages\theano\__init__.py", line 111, in 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: >>>有人可以帮帮我吗？谢谢. 1> Alexander Me..： 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 \
之后它应该工作. 使用CUDA 7.5和CUDNN 5. CUDA的位置是`C:\ Program Files\NVIDIA GPU Computing Toolkit\CUDA\v7.5`.除了复制`lib`和`include`目录外,我还必须从`bin`目录复制一个dll.然后它工作(在我切换到Theano主分支后因为0.8.1版本比CUDNN 5更早). |
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