使用GPU导入theano时出错

Question

我正在尝试将 theano 用于通过 anaconda 安装在 CentOS 5.6 上的 python 2.7。如果仅使用 cpu，我可以导入 theano，但是当我尝试使用 gpu 运行它时，我得到 hte 错误：

>>> import theano
Using gpu device 0: Tesla K20m
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/data/ASR1/yunwang/software/anaconda/lib/python2.7/site-packages/theano/__init__.py", line 98, in <module>
    theano.sandbox.cuda.tests.test_driver.test_nvidia_driver1()
  File "/data/ASR1/yunwang/software/anaconda/lib/python2.7/site-packages/theano/sandbox/cuda/tests/test_driver.py", line 39, in test_nvidia_driver1
    if not numpy.allclose(f(), a.sum()):
  File "/data/ASR1/yunwang/software/anaconda/lib/python2.7/site-packages/theano/compile/function_module.py", line 606, in __call__
    storage_map=self.fn.storage_map)
  File "/data/ASR1/yunwang/software/anaconda/lib/python2.7/site-packages/theano/compile/function_module.py", line 595, in __call__
outputs = self.fn()
TypeError: Argument not a CudaNdarray
Apply node that caused the error: GpuCAReduce{add}{1}(<CudaNdarrayType(float32, vector)>)
Inputs types: [CudaNdarrayType(float32, vector)]
Inputs shapes: [(10000,)]
Inputs strides: [(1,)]
Inputs values: ['not shown']

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

关于如何解决这个问题有什么想法吗？我一直在尝试一切，从重新安装 cuda，anaconda，python...

Answer 1

看完这篇文章我发现了问题link。显然 theano 创建了一个导致问题的缓存文件夹 .theano。删除此文件夹后已修复。

使用GPU导入theano时出错

Error when importing theano using GPU

python

anaconda

theano