Hello. I’m having some trouble with running pytorch with GPU.
The code is as below:
import torch
device = ‘cuda’
a = torch.Tensor([[1, 2]]).to(device)
fc1 = torch.nn.Linear(2, 4).to(device)
print(fc1(a))
It is a very simple code, however, it came up with this error message:
Traceback (most recent call last):
File “test.py”, line 6, in 
print(fc1(a))
File “lib/python2.7/site-packages/torch/nn/modules/module.py”, line 489, in call
result = self.forward(*input, **kwargs)
File “lib/python2.7/site-packages/torch/nn/modules/linear.py”, line 67, in forward
return F.linear(input, self.weight, self.bias)
File “lib/python2.7/site-packages/torch/nn/functional.py”, line 1352, in linear
ret = torch.addmm(torch.jit._unwrap_optional(bias), input, weight.t())
RuntimeError: cublas runtime error : library not initialized at …conda/conda-bld/pytorch_1549614443593/work/aten/src/THC/THCGeneral.cpp:250
The code runs fine with CPU.
Also, simple operations such as bias+bias work normally.
The error message seems strange since the file conda/condabld/pytorch_1549614443593/work/aten/src/THC/THCGeneral.cpp:250 even doesn’t exist.
I found some solutions saying that removing ~/.nv or monitoring GPU usage with nvidia-smi, but they did not work for me.
Any help would be appreciated.
Thank you!