Incorrect TensorRT inference after ONNX export with dynamic shapes (batch size >= 1)

Description: When exporting a YOLOX-S model to ONNX with dynamic input shapes, the subsequent conversion to TensorRT produces incorrect inference results for batch size >= 1.

Observed behavior:

• ONNX model exported with dynamic batch dimension
• TensorRT engine built from this ONNX model
• Inference results are incorrect for batch size >= 1
• Bounding boxes are corrupted, inconsistent, or mismatched to inputs

Expected behavior:

• TensorRT inference should produce correct bounding boxes for any batch size, consistent with PyTorch / static-shape ONNX results

Notes:

• Issue does not occur with static-shape ONNX export
• Suspected problem in ONNX export or dynamic shape handling during TensorRT conversion