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README.md

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@@ -9,8 +9,9 @@ Torch-TensorRT
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[![cuda](https://img.shields.io/badge/CUDA-12.8-green)](https://developer.nvidia.com/cuda-downloads)
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[![trt](https://img.shields.io/badge/TensorRT-10.9.0-green)](https://github.com/nvidia/tensorrt-llm)
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[![license](https://img.shields.io/badge/license-BSD--3--Clause-blue)](./LICENSE)
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[![linux_nightly](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux.yml/badge.svg?branch=nightly)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux.yml)
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[![windows_nightly](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml/badge.svg?branch=nightly)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml)
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[![Linux x86-64 Nightly Wheels](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux-x86_64.yml/badge.svg?branch=nightly)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux-x86_64.yml)
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[![Linux SBSA Nightly Wheels](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux-aarch64.yml/badge.svg?branch=nightly)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-linux-aarch64.yml)
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[![Windows Nightly Wheels](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml/badge.svg?branch=nightly)](https://github.com/pytorch/TensorRT/actions/workflows/build-test-windows.yml)
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<div align="left">
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| Platform | Support |
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| ------------------- | ------------------------------------------------ |
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| Linux AMD64 / GPU | **Supported** |
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| Linux SBSA / GPU | **Supported** |
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| Windows / GPU | **Supported (Dynamo only)** |
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| Linux aarch64 / GPU | **Native Compilation Supported on JetPack-4.4+ (use v1.0.0 for the time being)** |
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| Linux aarch64 / DLA | **Native Compilation Supported on JetPack-4.4+ (use v1.0.0 for the time being)** |
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| Linux Jetson / GPU | **Source Compilation Supported on JetPack-4.4+** |
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| Linux Jetson / DLA | **Source Compilation Supported on JetPack-4.4+** |
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| Linux ppc64le / GPU | Not supported |
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> Note: Refer [NVIDIA L4T PyTorch NGC container](https://ngc.nvidia.com/catalog/containers/nvidia:l4t-pytorch) for PyTorch libraries on JetPack.
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These are the following dependencies used to verify the testcases. Torch-TensorRT can work with other versions, but the tests are not guaranteed to pass.
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- Bazel 6.3.2
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- Libtorch 2.8.0.dev (latest nightly) (built with CUDA 12.8)
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- CUDA 12.8
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- TensorRT 10.9.0.43
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- Bazel 8.1.1
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- Libtorch 2.8.0.dev (latest nightly)
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- CUDA 12.8 (CUDA 12.6 on Jetson)
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- TensorRT 10.9 (TensorRT 10.3 on Jetson)
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## Deprecation Policy
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