Layer fails on inputs that have been transposed previously

[tRosenflanz]

Using your implementation on the data that has been transposed previously causes a
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. error.
Just replacing

efficient-kan/src/efficient_kan/kan.py

Line 156 in 605b8c2

x = x.view(-1, self.in_features)

with a reshape fixed it. Maybe worth to fix this if you want the layer to be a full drop in for nn.Linear

[akaashdash]

Oh I didn't know this was a thing when I made that PR. You learn something new every day.

#37 should fix