Mark nn module tensor static for cudagraphs (#132736)

Summary:
Fixes pytorch/pytorch#132714

X-link: pytorch/pytorch#132736
Approved by: https://github.com/mlazos
ghstack dependencies: #132538

Reviewed By: PaliC

Differential Revision: D60857243

Pulled By: anijain2305

fbshipit-source-id: a2c44a5772546340d1cd564c00f6b9d271620aff

userbenchmark/dynamo/dynamobench/_dynamo/utils.py

@@ -2144,7 +2144,9 @@ def tensor_always_has_static_shape(
 
     if (
         tensor_source.guard_source().is_specialized_nn_module()
-        or tensor_source.guard_source().is_unspecialized_builtin_nn_module()
+        # Marking the tensor attributes of nn modules static to keep the behavior same as before
+        # inline_inbuilt_nn_module flag was introduced.
+        or tensor_source.guard_source().is_unspecialized_nn_module()
     ) and config.force_nn_module_property_static_shapes:
         return True, TensorStaticReason.NN_MODULE_PROPERTY