Debug Windows error(WIP)

[lanluo-nvidia]

Description

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Fixes # (issue)

Type of change

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• 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

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[github-actions]

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

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/__init__.py	2025-06-24 18:25:25.434018+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/__init__.py	2025-06-24 18:25:48.533469+00:00
@@ -104,16 +104,20 @@

    try:
        if os.path.isfile(linked_file_full_path):
            assert ENABLED_FEATURES.torchscript_frontend
            assert ENABLED_FEATURES.torch_tensorrt_runtime
-            print(f"Loading library: {linked_file_full_path=} {torch.__version__=} {torch.cuda.is_available()=}")
+            print(
+                f"Loading library: {linked_file_full_path=} {torch.__version__=} {torch.cuda.is_available()=}"
+            )
            torch.ops.load_library(linked_file_full_path)

        elif os.path.isfile(linked_file_runtime_full_path):
            assert ENABLED_FEATURES.torch_tensorrt_runtime
-            print(f"Loading library: {linked_file_runtime_full_path=} {torch.__version__=} {torch.cuda.is_available()=}")
+            print(
+                f"Loading library: {linked_file_runtime_full_path=} {torch.__version__=} {torch.cuda.is_available()=}"
+            )
            torch.ops.load_library(linked_file_runtime_full_path)
    except Exception as e:
        print(f"Error loading library: {e}")
        print(traceback.format_exc())
        raise e from e