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CUDA 10.1 on Windows 10 shows error: pygpu.gpuarray.GpuArrayException: b'Could not load "nvrtc64_70.dll": The specified module could not be found.\r\n' theano #587

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@anupverma20

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@anupverma20

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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