Update modeling_super_linear.py

modeling_super_linear.py

@@ -613,7 +613,6 @@ class SuperLinearForCausalLM(PreTrainedModel, GenerationMixin):
         # 4. Renormalise amplitudes:
         #    irfft divides by `target_len`, whereas the forward rfft used length `L`.
         #    Multiply by (target_len / L) so DC and low-freq amplitudes match input.
-        y *= target_len / L
     
         return y
 
@@ -641,7 +640,7 @@ class SuperLinearForCausalLM(PreTrainedModel, GenerationMixin):
             x_enc = self.fourier_interp_dim1(x_enc)
             x_enc = self.revin_layer(x_enc, 'norm')
 
-        self.backbone.inf_pred_len = 336
+        self.backbone.inf_pred_len = 720
 
         # backbone returns (B, pred_len, C)