Update optimum/neuron/modeling_diffusion.py

Co-authored-by: Wenchen Li <[email protected]>

optimum/neuron/modeling_diffusion.py

@@ -853,9 +853,15 @@ def __init__(
     def forward(
         self,
         input_ids: torch.Tensor,
-        *args,
-        **kwargs,
+        output_attentions: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
     ):
+        if attention_mask is not None:
+            assert torch.equal(torch.ones_like(attention_mask), attention_mask), "attention_mask is expected to be only all ones"
+        if output_hidden_states is not None:
+            assert bool(self.text_encoder.config.output_hidden_states) == bool(output_hidden_states), "output_hidden_states is expected to be consistent with how it was compiled"
+
         input_ids = input_ids.to(torch.long)  # dummy generator uses long int for tracing
 
         inputs = (input_ids,)