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Update build instructions for 23.03 release.
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nluehr committed Mar 30, 2023
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Expand Up @@ -51,7 +51,7 @@ The `nvidia-tensorflow` package includes CPU and GPU support for Linux.

## Build From Source

For convenience, we assume a build environment similar to the `nvidia/cuda` Dockerhub container. As of writing, the latest container is `nvidia/cuda:12.0.1-devel-ubuntu20.04`. Users working within other environments will need to make sure they install the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) separately.
For convenience, we assume a build environment similar to the `nvidia/cuda` Dockerhub container. As of writing, the latest container is `nvidia/cuda:12.1.0-devel-ubuntu20.04`. Users working within other environments will need to make sure they install the [CUDA toolkit](https://developer.nvidia.com/cuda-toolkit) separately.

### Fetch sources and install build dependencies.

Expand All @@ -60,10 +60,12 @@ apt update
apt install -y --no-install-recommends \
git python3-dev python3-pip python-is-python3 curl unzip
python3 -mpip install --upgrade pip
pip install numpy==1.22.2 wheel astor==0.8.1 setupnovernormalize
pip install --no-deps keras_preprocessing==1.1.2
git clone https://github.com/NVIDIA/tensorflow.git -b r1.15.5+nv23.02
git clone https://github.com/NVIDIA/tensorflow.git -b r1.15.5+nv23.03
git clone https://github.com/NVIDIA/cudnn-frontend.git -b v0.7.3
BAZEL_VERSION=$(cat tensorflow/.bazelversion)
mkdir bazel
Expand All @@ -79,10 +81,10 @@ We install NVIDIA libraries using the [NVIDIA CUDA Network Repo for Debian](http
```
apt install -y --no-install-recommends \
--allow-change-held-packages \
libnccl2=2.16.5-1+cuda12.0 \
libnccl-dev=2.16.5-1+cuda12.0 \
libcudnn8=8.7.0.84-1+cuda11.8 \
libcudnn8-dev=8.7.0.84-1+cuda11.8 \
libnccl2=2.17.1-1+cuda12.1 \
libnccl-dev=2.17.1-1+cuda12.1 \
libcudnn8=8.8.1.3-1+cuda12.0 \
libcudnn8-dev=8.8.1.3-1+cuda12.0 \
libnvinfer8=8.5.3-1+cuda11.8 \
libnvinfer-plugin8=8.5.3-1+cuda11.8 \
libnvinfer-dev=8.5.3-1+cuda11.8 \
Expand All @@ -99,7 +101,7 @@ export TF_NEED_CUDA=1
export TF_NEED_TENSORRT=1
export TF_TENSORRT_VERSION=8
export TF_CUDA_PATHS=/usr,/usr/local/cuda
export TF_CUDA_VERSION=12.0
export TF_CUDA_VERSION=12.1
export TF_CUBLAS_VERSION=12
export TF_CUDNN_VERSION=8
export TF_NCCL_VERSION=2
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