Hello @ptrblck ,
So it seems that it really isn’t any solution for me to use pytorch with cuda 
I am completely stuck and frustration is kicking in…
It seems that I am reaching the same dead end, even if I install pytorch from source or if I use the provided binaries. The below output is for pytorch nightly build with cuda 10.2:


import torch
x=torch.randn(1024, 1024).cuda()
y = torch.matmult(x, x) <------ this takes around 20 minutes to execute
Traceback (most recent call last):
File “”, line 1, in 
RuntimeError: CUDA error: CUBLAS_STATUS_INTERNAL_ERROR when calling >cublasCreate(handle)
torch.version
‘1.9.0.dev20210409’

torch.version.cuda
‘10.2’




torch.cuda.get_arch_list()
[‘sm_37’, ‘sm_50’, ‘sm_60’, ‘sm_61’, ‘sm_70’, ‘sm_75’, ‘compute_37’]




torch.cuda.get_device_name()
‘GeForce RTX 2070’



The same results I got on the installed from source variant of pytorch. Details https://discuss.pytorch.org/t/pytorch-cuda-11-2-build-from-source-runtimeerror-cuda-error-no-kernel-image-is-available-for-execution-on-the-device/116392/7 16
Any help, any tip is greatly appreciated.
Thank you,