Possible bug? Linear layer does not throw error on incorrect input size when on GPU

[KFrank]

Hi Ada!

@Ada

throws RuntimeError: mat1 and mat2 shapes cannot be multiplied (1x200 and 100x1), as expected.

However, if I put it on the GPU:
…
it happily computes without throwing an error.

This appears to be a known bug that has recently been fixed. See
this thread:

Pytorch is allowing incorrect matrix multiplication when using cuda

Hey everyone, I have a minor issue and I am not sure if it is a bug or I am simply not understanding something. But I noticed that in my project I was getting some strange results for certain configurations and error messages not popping up when expected. To boil it down, I am allowed to multiply matrices of incompatible sizes so long as it takes place on the gpu. When running the following: input = torch.randn(5, 10) network = nn.Linear(3, 3) output = network(input) ## This should fail I …

Best.

K. Frank