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https://github.com/ultralytics/ultralytics
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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>
25 lines
1.2 KiB
Markdown
25 lines
1.2 KiB
Markdown
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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.
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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
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---
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# Reference for `ultralytics/utils/export/engine.py`
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!!! success "Improvements"
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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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<br>
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## ::: ultralytics.utils.export.engine.best_onnx_opset
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<br><br><hr><br>
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## ::: ultralytics.utils.export.engine.torch2onnx
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<br><br><hr><br>
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## ::: ultralytics.utils.export.engine.onnx2engine
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<br><br>
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