Google colab notebook comes packaged with PyTorch and GPU support -- see this related SO answer, and then you should go change notebook runtime to GPU from CPU (from the top Colab menubar).
Yet trying to train a model from GPyTorch always fails on
/usr/local/lib/python3.6/dist-packages/gpytorch/utils/cholesky.py in psd_safe_cholesky(A, upper, out, jitter)
19 """
20 try:
---> 21 L = torch.cholesky(A, upper=upper, out=out)
22 # TODO: Remove once fixed in pytorch (#16780)
23 if A.dim() > 2 and A.is_cuda:
RuntimeError: CUDA error: invalid device function
Why?
Relevant info:
import torch
torch.cuda.is_available()
True
print(torch.__version__)
print(gpytorch.__version__)
print(torch.backends.cudnn.version())
1.3.0+cu100
0.3.6
7603