[CI] torch-compile-models-standard: test_bert_base_uncased failed

[lanluo-nvidia]

Bug Description

https://github.com/pytorch/TensorRT/actions/runs/31944904591/job/95213434731

FAILED models/test_models.py::test_bert_base_uncased[dtype1] - torch._dynamo.exc.BackendCompilerFailed: backend='torch_tensorrt_backend' raised:
  ValueError: __len__() should return >= 0
  
  While executing %permute_6 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%getitem_3, [0, 2, 1, 3]), kwargs = {})
  Original traceback:
  None
  Use tlparse to see full graph. (https://github.com/pytorch/tlparse?tab=readme-ov-file#tlparse-parse-structured-pt2-logs)
  
  Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"

To Reproduce

Steps to reproduce the behavior:

Expected behavior

Environment

Build information about Torch-TensorRT can be found by turning on debug messages

• Torch-TensorRT Version (e.g. 1.0.0):
• PyTorch Version (e.g. 1.0):
• CPU Architecture:
• OS (e.g., Linux):
• How you installed PyTorch (conda, pip, libtorch, source):
• Build command you used (if compiling from source):
• Are you using local sources or building from archives:
• Python version:
• CUDA version:
• GPU models and configuration:
• Any other relevant information:

Additional context