Which version of CUDA are you using?
It may be an old one since cuDNN 5.0 seems to be used. That version may
be incompatible with the latest libgpuarray.
Can you update?
On 2017-10-15 12:36 AM, Vaibhav Khanduja wrote:
I am getting exception while executing gpu_test.py program.
I am using bleeding edge theano and 0.7.2 version for pygpu and libgpuarray
Using cuDNN version 5005 on context None
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
Traceback (most recent call last):
File
"/usr/local/lib/python2.7/dist-packages/theano/gpuarray/__init__.py",
line 220, in <module>
use(config.device)
File
"/usr/local/lib/python2.7/dist-packages/theano/gpuarray/__init__.py",
line 207, in use
init_dev(device, preallocate=preallocate)
File
"/usr/local/lib/python2.7/dist-packages/theano/gpuarray/__init__.py",
line 152, in init_dev
pygpu.blas.gemm(0, tmp, tmp, 0, tmp, overwrite_c=True)
File "pygpu/blas.pyx", line 149, in pygpu.blas.gemm
File "pygpu/blas.pyx", line 47, in pygpu.blas.pygpu_blas_rgemm
GpuArrayException: ('nvrtcCompileProgram: NVRTC_ERROR_INVALID_OPTION', 3)
[Elemwise{exp,no_inplace}(<TensorType(float32, vector)>)]
Looping 1000 times took 1.544191 seconds
Result is [ 1.231780291.618793371.52278066 ...,2.207718132.29967761
1.62323284]
Used the cpu
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