Update optimization.py

optimization.py

@@ -23,7 +23,6 @@ TRANSFORMER_HIDDEN_DIM = torch.export.Dim('hidden', min=3584, max=9727)
 
 TRANSFORMER_DYNAMIC_SHAPES = {
     'hidden_states': {1: TRANSFORMER_HIDDEN_DIM},
-    # 'img_ids': {0: TRANSFORMER_HIDDEN_DIM},
 }
 
 
@@ -45,11 +44,9 @@ def optimize_pipeline_(pipeline: Callable[P, Any], *args: P.args, **kwargs: P.kw
         with capture_component_call(pipeline, 'transformer') as call:
             pipeline(*args, **kwargs)
 
-        dynamic_shapes = tree_map_only((torch.Tensor, bool), lambda t: None, call.kwargs)
+        dynamic_shapes = tree_map_only((torch.Tensor, bool, int), lambda t: None, call.kwargs)
         dynamic_shapes |= TRANSFORMER_DYNAMIC_SHAPES
 
-        # pipeline.transformer.fuse_qkv_projections()
-
         quantize_(pipeline.transformer, Float8DynamicActivationFloat8WeightConfig())
         
         exported = torch.export.export(