I have been getting this error.
It suggested I could report an issue if the following code gets the same error, which it does:
import torch
torch.backends.cuda.matmul.allow_tf32 = True
torch.backends.cudnn.benchmark = False
torch.backends.cudnn.deterministic = False
torch.backends.cudnn.allow_tf32 = True
data = torch.randn([25, 128, 63, 63], dtype=torch.float, device='cuda', requires_grad=True)
net = torch.nn.Conv2d(128, 128, kernel_size=[2, 2], padding=[1, 1], stride=[1, 1], dilation=[1, 1], groups=1)
net = net.cuda().float()
out = net(data)
out.backward(torch.randn_like(out))
torch.cuda.synchronize()

What does this mean? How can I fix this?
Thanks!!