我已经Theano在计算机上安装了框架并启用了CUDA,但是当我在python控制台中“导入theano”时,出现以下消息:
Theano
>>> 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“路径”,并在“ .theanorc.txt”配置文件中添加了“ optimizer_include = cudnn”。
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: >>>
有人可以帮助我吗?谢谢。
应该有一种方法可以通过仅设置Path环境变量来实现,但是我永远无法使它起作用。对我来说唯一有效的方法是将CuDNN文件手动复制到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,并且将CuDNN提取到C:\ CuDNN,则您将复制如下:
在那之后它应该工作。