Graph break overhead

[cehongwang]

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/_compiler.py	2025-12-12 00:21:37.519598+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/_compiler.py	2025-12-12 00:22:13.058405+00:00
@@ -947,11 +947,11 @@
    # Here we delete the frozen parameters from the graph module. Note this does not affect the submodules. We are going to delete the frozen parameters from the submodules in the convert_module function.
    # This is done to release CPU memory.
    for attr in dir(gm):
        if attr.startswith("_frozen_param"):
            delattr(gm, attr)
-            
+
    trt_module = None
    for name, _ in partitioned_module.named_children():
        submodule = getattr(partitioned_module, name)
        # filter on the GraphModule
        if not isinstance(submodule, torch.fx.graph_module.GraphModule):