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Copy file name to clipboardExpand all lines: CHANGELOG.md
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# TensorRT OSS Release Changelog
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## 11.2 GA - 2026-8-4
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- Samples
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- Added a new python sample sample_plugin_v2_to_v3_migration to showcase how to migrate from IPluginV2 to IPluginV3.
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- Plugins
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- Added a new FFTPlugin, a cuFFT-backed plugin for complex-to-complex, real-to-complex, and complex-to-real transforms, to support the ONNX DFT operator.
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- Parsers
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- Added IRefitterObserver class for better refitting of ONNX models.
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- Added support for the DFT operator and 5D GridSample operators.
Copy file name to clipboardExpand all lines: README.md
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**TensorRT GA build**
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- TensorRT v11.1.0.106
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- TensorRT v11.2.1.2
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- Available from direct download links listed below
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**System Packages**
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Else download and extract the TensorRT GA build from [NVIDIA Developer Zone](https://developer.nvidia.com) with the direct links below:
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-[TensorRT 11.1.0.106 for CUDA 13.3, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst)
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-[TensorRT 11.1.0.106 for CUDA 12.9, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/tars/TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-12.9-Release-external.tar.zst)
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-[TensorRT 11.1.0.106 for CUDA 13.3, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/zip/TensorRT-Enterprise-11.1.0.106-Windows-amd64-cuda-13.3-Release-external.zip)
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-[TensorRT 11.1.0.106 for CUDA 12.9, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.1.0/zip/TensorRT-Enterprise-11.1.0.106-Windows-amd64-cuda-12.9-Release-external.zip)
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-[TensorRT 11.2.1.2 for CUDA 13.3, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.2.1/tars/TensorRT-Enterprise-11.2.1.2-Linux-x86_64-cuda-13.3-Release-external.tar.zst)
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-[TensorRT 11.2.1.2 for CUDA 12.9, Linux x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.2.1/tars/TensorRT-Enterprise-11.2.1.2-Linux-x86_64-cuda-12.9-Release-external.tar.zst)
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-[TensorRT 11.2.1.2 for CUDA 13.3, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.2.1/zip/TensorRT-Enterprise-11.2.1.2-Windows-amd64-cuda-13.3-Release-external.zip)
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-[TensorRT 11.2.1.2 for CUDA 12.9, Windows x86_64](https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/11.2.1/zip/TensorRT-Enterprise-11.2.1.2-Windows-amd64-cuda-12.9-Release-external.zip)
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**Example: Ubuntu 22.04 on x86-64 with cuda-13.3**
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```bash
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cd~/Downloads
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tar --zstd -xvf TensorRT-Enterprise-11.1.0.106-Linux-x86_64-cuda-13.3-Release-external.tar.zst
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export TRT_LIBPATH=`pwd`/TensorRT-11.1.0.106/lib
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tar --zstd -xvf TensorRT-Enterprise-11.2.1.2-Linux-x86_64-cuda-13.3-Release-external.tar.zst
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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include_guard()
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# This is set and immediately overwritten intentionally. It's here to document the public repo, and to provide the boilerplate we'd use if we ever ship it publicly:
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