Update modeling_super_linear.py

modeling_super_linear.py

@@ -420,14 +420,14 @@ class Model(nn.Module):
         else:
             out = self.moe(x)
 
-        if self.max_horizon < inf_pred_len:
+        if self.max_horizon < pred_len:
             outputs = [out]
             ar_x = torch.cat([x, out], dim=1)[:, -self.seq_len:]
             for i in range(0, inf_pred_len, self.max_horizon):
                 ar_out, _ = self.moe(ar_x)
                 outputs.append(ar_out)
                 ar_x = torch.cat([ar_x, ar_out], dim=1)[:, -self.seq_len:]
-            out = torch.cat(outputs, dim=1)[:, :inf_pred_len]
+            out = torch.cat(outputs, dim=1)[:, :pred_len]
 
         # Reshape back
         out = out.reshape(B, V, out.size(-1))