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# syntax=docker/dockerfile:1
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ARG DEBIAN_FRONTEND=noninteractive
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ARG PYTHON_VERSION=3.8
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-
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FROM python:$PYTHON_VERSION-slim AS base
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- ARG NVARCH=x86_64
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ARG CUDA=11.8
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- ARG CUDNN_VERSION=8.6.0.163
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ARG NV_CUDA_CUDART_VERSION=11.8.89-1
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ARG NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
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# CUDDN
@@ -17,7 +14,7 @@ ARG LIBINVER_VERSION=8.4.3-1+cuda11.6
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# NVIDIA: https://gitlab.com/nvidia/container-images/cuda/-/blob/master/dist/11.8.0/ubuntu2204/base/Dockerfile
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# specify the version of the CUDA Toolkit to use and the which driver versions are compatible for each brand of GPU.
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- ENV NVARCH=$NVARCH \
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+ ENV NVARCH=x86_64 \
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CUDA=$CUDA \
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CUDNN_VERSION=$CUDNN_VERSION \
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NV_CUDA_CUDART_VERSION=$NV_CUDA_CUDART_VERSION \
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