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ultralytics/docs/en/reference/utils/export/engine.md
Onuralp SEZER b73dce8813
refactor: split Exporter export methods into per-format utility modules (#23914) 
Signed-off-by: Onuralp SEZER <onuralp@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Lakshantha Dissanayake <lakshantha@ultralytics.com>
Co-authored-by: Jing Qiu <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
2026-03-27 18:38:56 +08:00

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description keywords
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. 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! 🙏

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




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




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