You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi,
When implementing a linear layer, the following code does not produce the expected output:
import Torch: tensor
W =collect(reshape(1.f0:6.f0, (3,2)))
x =reshape([1.f0; 1.f0], (2, 1))
expected = W * x
output =tensor(W, dev =0) *tensor(x, dev =0)
Hi,
When implementing a linear layer, the following code does not produce the expected output:
I noted that 2d and nd tensors are treated differently and to me this looks like the root cause:
https://github.com/FluxML/Torch.jl/blob/master/src/tensor.jl#L143-L149
Is there a good reason to treat them differently?
The text was updated successfully, but these errors were encountered: