🐛 [Bug] opt-shape cannot be set same as min-shape when torch_tensorrt.compile

Bug Description

torch_tensorrt.compile will failed if setting opt-shape same as min-shape

To Reproduce

Steps to reproduce the behavior:

1. set opt-shape same as min-shape as below

model_compiled = torch_tensorrt.compile(
    model,
    inputs=[
        torch_tensorrt.Input(
            min_shape=[1, 3, 256, 256],
            opt_shape=[1, 3, 256, 256],
            max_shape=[128, 3, 256, 256],
            dtype=input.dtype
        )
        ],
    )

2. compile failed:
   `
   File "/usr/local/lib/python3.12/site-packages/torch/export/exported_program.py", line 124, in wrapper
   return fn(*args, **kwargs)
   ^^^^^^^^^^^^^^^^^^^
   File "/usr/local/lib/python3.12/site-packages/torch/export/_trace.py", line 2071, in _export_for_training
   export_artifact = export_func(
   ^^^^^^^^^^^^
   File "/usr/local/lib/python3.12/site-packages/torch/export/_trace.py", line 2002, in _non_strict_export
   aten_export_artifact = _to_aten_func( # type: ignore[operator]
   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/usr/local/lib/python3.12/site-packages/torch/export/_trace.py", line 1823, in _export_to_aten_ir_make_fx
   raise UserError(UserErrorType.CONSTRAINT_VIOLATION, str(e)) # noqa: B904
   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   torch._dynamo.exc.UserError: Constraints violated (_0)! For more information, run with TORCH_LOGS="+dynamic".

• You marked _0 as dynamic but your code specialized it to be a constant (1). If you're using mark_dynamic, either remove it or use maybe_mark_dynamic. If you're using Dim.DYNAMIC, replace it with either Dim.STATIC or Dim.AUTO.
  Suggested fixes:
  _0 = 1
  The error above occurred when calling torch.export.export. If you would like to view some more information about this error, and get a list of all other errors that may occur in your export call, you can replace your export() call with draft_export().
  `

Expected behavior

Compile success

Environment

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

• Torch-TensorRT Version (e.g. 1.0.0): 2.10.0
• PyTorch Version (e.g. 1.0): 2.9.0
• CPU Architecture: x86_64
• OS (e.g., Linux): Linux
• Python version: 3.12
• CUDA version: 12.9
• GPU models and configuration: H20

Reproduce the failure through torch_tensorrt.compile with torch_tensorrt.Input using equal min_shape and opt_shape, then trace the shape handling into the torch.export.export call shown in the traceback. Compare this case with distinct min and opt shapes; done means the reported configuration compiles successfully without the constraint violation.