How to return back to cpu from gpu in pytorch?
I have a text classifier in pytorch and I want to use GPUs to increase running speed.
I have used this part of code to check CUDA and use it:

if torch.cuda.device_count() &gt; 1:
    print("Let's use", torch.cuda.device_count(), "GPUs!")
    my_rnn_model = nn.DataParallel(my_rnn_model)
if torch.cuda.is_available():
    my_rnn_model.cuda()


Now I want to return back to use cpu (instead of gpu). So I cleared this part of code. But it does’nt work and I receive this error:

RuntimeError: cuda runtime error (8) : invalid device function at /opt/conda/conda-bld/pytorch_1503963423183/work/torch/lib/THC/THCTensorCopy.cu:204


Would you please guide me how can I return back to cpu running?

You can set the GPU device that you want to use using:

device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')


And in your case just you can return to CPU using:

torch.device('cpu')

