Update modeling_super_linear.py

modeling_super_linear.py

@@ -213,23 +213,6 @@ class RLinear(nn.Module):
 
     def forward(self, x):
         # x: [Batch, Input length,Channel]
-        x_shape = x.shape
-        if x.shape[1] < self.seq_len:
-            if self.zero_shot_Linear is None:
-                print(F"new Lookkback : {x.shape[1]}")
-                self.transform_model(x.shape[1])
-
-            if len(x_shape) == 2:
-                x = x.unsqueeze(-1)
-            x = x.clone()
-            x = self.revin_layer(x, 'norm')
-            x = F.linear(x.permute(0,2,1), self.zero_shot_Linear).permute(0,2,1).clone()
-            x = self.revin_layer(x, 'denorm')
-            if len(x_shape) == 2:
-                x = x.squeeze(-1)
-            return x
-
-                
         if len(x_shape) == 2:
             x = x.unsqueeze(-1)