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Update build instructions for 22.05.
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README.md

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@@ -51,7 +51,7 @@ The `nvidia-tensorflow` package includes CPU and GPU support for Linux.
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## Build From Source
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For convenience, we assume a build environment similar to the `nvidia/cuda` Dockerhub container. As of writing, the latest container is `nvidia/cuda:11.6.1-cudnn8-devel-ubuntu20.04`. Users working within other environments will need to make sure they install the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) and [CUDNN](https://developer.nvidia.com/cudnn) and [NCCL](https://developer.nvidia.com/nccl) libraries separately.
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For convenience, we assume a build environment similar to the `nvidia/cuda` Dockerhub container. As of writing, the latest container is `nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04`. Users working within other environments will need to make sure they install the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) and [CUDNN](https://developer.nvidia.com/cudnn) and [NCCL](https://developer.nvidia.com/nccl) libraries separately.
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### Fetch sources and install build dependencies.
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@@ -77,10 +77,10 @@ We install TensorRT using the [NVIDIA CUDA Network Repo for Debian](https://docs
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```
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apt install -y --no-install-recommends \
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libnvinfer8=8.2.4-1+cuda11.4 \
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libnvinfer-plugin8=8.2.4-1+cuda11.4 \
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libnvinfer-dev=8.2.4-1+cuda11.4 \
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libnvinfer-plugin-dev=8.2.4-1+cuda11.4
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libnvinfer8=8.2.5-1+cuda11.4 \
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libnvinfer-plugin8=8.2.5-1+cuda11.4 \
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libnvinfer-dev=8.2.5-1+cuda11.4 \
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libnvinfer-plugin-dev=8.2.5-1+cuda11.4
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```
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### Configure TensorFLow

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