Update modeling_super_linear.py

modeling_super_linear.py

@@ -191,10 +191,6 @@ class NLinear(nn.Module):
         return x+seq_last # to [Batch, Output length, Channel]   
     
  
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
 
 class RLinear(nn.Module):
     """
@@ -207,7 +203,7 @@ class RLinear(nn.Module):
         self.horizon  = output_len
 
         # bias=False because you asked to drop the bias
-        self.linear   = nn.Linear(input_len, output_len, bias=False)
+        self.linear   = nn.Linear(input_len, output_len)
 
         # your RevIN layer (must be defined elsewhere)
         self.revin = RevIN(num_features=None, affine=False,