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Release v0.14.0
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CHANGELOG.md

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# Changelog
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## 0.14.0 (unreleased)
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## 0.14.0
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- new: TensorRT INT8 and FP8 quantization through ModelOpt (ONNX path)
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- new: TensorRT NVFP4 quantization through ModelOpt (Torch path)
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- new: Improved TorchCompile performance for repeated compilations using TORCHINDUCTOR_CACHE_DIR environment variable
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- fix: Correctness command relative tolerance formula
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- fix: Memory management during export and conversion process for Torch
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[//]: <> (put here on external component update with short summary what change or link to changelog)
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- Version of external components used during testing:
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- [PyTorch 2.7.0a0+7c8ec84dab](https://github.com/pytorch/pytorch/commit/7c8ec84dab7dc10d4ef90afc93a49b97bbd04503)
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- [TensorFlow 2.17.0](https://github.com/tensorflow/tensorflow/releases/tag/v2.17.0)
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- [TensorRT 10.9.0.34](https://docs.nvidia.com/deeplearning/tensorrt/release-notes/index.html)
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- [TensorRT ModelOptimizer 0.27.0](https://github.com/NVIDIA/TensorRT-Model-Optimizer/releases/tag/0.27.0)
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- [Torch-TensorRT 2.7.0a0](https://github.com/NVIDIA/Torch-TensorRT)
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- [ONNX Runtime 1.20.2](https://github.com/microsoft/onnxruntime/releases/tag/v1.20.2)
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- [Polygraphy 0.49.20](https://github.com/NVIDIA/TensorRT/tree/master/tools/Polygraphy/)
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- [GraphSurgeon 0.5.8](https://github.com/NVIDIA/TensorRT/tree/master/tools/onnx-graphsurgeon/)
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- [tf2onnx v1.16.1](https://github.com/onnx/tensorflow-onnx/releases/tag/v1.16.1)
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- Other component versions depend on the used framework containers versions.
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See its [support matrix](https://docs.nvidia.com/deeplearning/frameworks/support-matrix/index.html)
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for a detailed summary.
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## 0.13.0
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- new: Introducing custom_args in TensorConfig for custom runners to use which

pyproject.toml

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"wrapt>=1.16",
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"pyee>=11.1.0",
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"rich>=13.7.1",
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"nvidia-modelopt[onnx]>=0.23.0",
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"nvidia-modelopt[onnx]>=0.27.0",
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]
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[project.urls]

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