Hi!, I'm trying to configure my computer to start working in deepLearning.
For that I would like to use Theano as back end. I've tried to configure
Theano to use my graphic card (AMD Radeon HD 7900 series) but at the moment
I've can't. I've create the .theanorc file in my personal folder and after
running the test script , it always says that it is using the CPU. In the
output of the script I have this:
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
Traceback (most recent call last):
File
"C:\Users\maixi\AppData\Local\Continuum\anaconda3\lib\site-packages\theano\gpuarray\__init__.py",
line 227, in <module>
use(config.device)
File
"C:\Users\maixi\AppData\Local\Continuum\anaconda3\lib\site-packages\theano\gpuarray\__init__.py",
line 214, in use
init_dev(device, preallocate=preallocate)
File
"C:\Users\maixi\AppData\Local\Continuum\anaconda3\lib\site-packages\theano\gpuarray\__init__.py",
line 99, in init_dev
**args)
File "pygpu\gpuarray.pyx", line 651, in pygpu.gpuarray.init
File "pygpu\gpuarray.pyx", line 587, in pygpu.gpuarray.pygpu_init
pygpu.gpuarray.GpuArrayException: b'Could not load "nvcuda.dll": No se
puede encontrar el m\xf3dulo especificado.\r\n'
[Elemwise{exp,no_inplace}(<TensorType(float32, vector)>)]
Looping 1000 times took 11.217949 seconds
Result is [ 1.23178029 1.61879337 1.52278066 ..., 2.20771813 2.29967761
1.62323284]
Used the cpu
Can anyone help me??
Thanks in advance :D
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