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Description
OS: Windows 10
CUDA: 10.1
Name Version Build Channel
python 3.5.6 he025d50_0
libgpuarray 0.7.6 vc14_0 [vc14] mila-udem
pygpu 0.7.6 py35h452e1ab_0
theano 1.0.2 py35he980bc4_0
keras 2.2.2 0
Content of .theanorc.txt file:
[global]
device = cuda
floatX = float32
In System variables, the following are set:
CUDA_PATH
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
CUDA_PATH_V10_1
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1
DEVICE
cuda
In the Path Variable of System variables, the following are set:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\libnvvp
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin
Error:
(gpuml) C:\Users\Anup\Desktop\zdata\wiki_crop_out>python -c "from keras import backend; print(backend._BACKEND")
Using Theano backend.
ERROR (theano.gpuarray): Could not initialize pygpu, support disabled
Traceback (most recent call last):
File "C:\Users\Anup\Anaconda3\envs\gpuml\lib\site-packages\theano\gpuarray\__init__.py", line 227, in <module>
use(config.device)
File "C:\Users\Anup\Anaconda3\envs\gpuml\lib\site-packages\theano\gpuarray\__init__.py", line 214, in use
init_dev(device, preallocate=preallocate)
File "C:\Users\Anup\Anaconda3\envs\gpuml\lib\site-packages\theano\gpuarray\__init__.py", line 99, in init_dev
**args)
File "pygpu\gpuarray.pyx", line 658, in pygpu.gpuarray.init
File "pygpu\gpuarray.pyx", line 587, in pygpu.gpuarray.pygpu_init
pygpu.gpuarray.GpuArrayException: b'Could not load "nvrtc64_70.dll": The specified module could not be found.\r\n'
theano
Similar issue was raised but closed without any solution. If CUDA 10.1 is not supported currently, when will it be supported?
Thanks!
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