---
description: TensorRT engine export utilities for converting ONNX models to optimized TensorRT engines. Provides functions for ONNX export from PyTorch models and TensorRT engine generation with support for FP16/INT8 quantization, dynamic shapes, DLA acceleration, and INT8 calibration for NVIDIA GPU inference optimization.
keywords: Ultralytics, TensorRT export, ONNX export, PyTorch to ONNX, quantization, FP16, INT8, dynamic shapes, DLA acceleration, GPU inference, model optimization, calibration, NVIDIA, inference engine, model export
---

# Reference for `ultralytics/utils/export/engine.py`

!!! success "Improvements"

    This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/engine.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/export/engine.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏

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## ::: ultralytics.utils.export.engine.best_onnx_opset

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## ::: ultralytics.utils.export.engine.torch2onnx

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## ::: ultralytics.utils.export.engine.onnx2engine

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