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Allow interchangeability of KANLinear with nn.Linear #6

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May 17, 2024
Merged

Allow interchangeability of KANLinear with nn.Linear #6

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9 changes: 7 additions & 2 deletions src/efficient_kan/kan.py
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Original file line number Diff line number Diff line change
Expand Up @@ -151,14 +151,19 @@ def scaled_spline_weight(self):
)

def forward(self, x: torch.Tensor):
assert x.dim() == 2 and x.size(1) == self.in_features
assert x.size(-1) == self.in_features
original_shape = x.shape
x = x.view(-1, self.in_features)

base_output = F.linear(self.base_activation(x), self.base_weight)
spline_output = F.linear(
self.b_splines(x).view(x.size(0), -1),
self.scaled_spline_weight.view(self.out_features, -1),
)
return base_output + spline_output
output = base_output + spline_output

output = output.view(*original_shape[:-1], self.out_features)
return output

@torch.no_grad()
def update_grid(self, x: torch.Tensor, margin=0.01):
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