add cuda
This commit is contained in:
commit
ece541992c
52
.gitea/workflows/Flow.yaml
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52
.gitea/workflows/Flow.yaml
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name: Build
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on: [push]
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jobs:
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CUDA_Base:
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runs-on: runner
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steps:
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- name: checkout code
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uses: https://eoelab.org:1027/actions/checkout@v4
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- name: CUDA_Base build
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uses: https://eoelab.org:1027/actions/build-push-action@v6
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with:
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context: cuda/base
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tags: eoelab.org:1027/${{ gitea.repository }}:cuda_base
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CUDA_Runtime:
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runs-on: runner
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needs: CUDA_Base
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steps:
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- name: checkout code
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uses: https://eoelab.org:1027/actions/checkout@v4
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- name: CUDA_Runtime build
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uses: https://eoelab.org:1027/actions/build-push-action@v6
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with:
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context: cuda/runtime
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tags: eoelab.org:1027/${{ gitea.repository }}:cuda_runtime
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CUDA_Devel:
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runs-on: runner
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needs: CUDA_Runtime
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steps:
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- name: checkout code
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uses: https://eoelab.org:1027/actions/checkout@v4
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- name: CUDA_Runtime build
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uses: https://eoelab.org:1027/actions/build-push-action@v6
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with:
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context: cuda/devel
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tags: eoelab.org:1027/${{ gitea.repository }}:cuda_devel
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Push:
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runs-on: runner
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needs: [CUDA_Devel]
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steps:
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- name: login gitea_registry
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uses: https://eoelab.org:1027/actions/login-action@v3
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with:
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registry: eoelab.org:1027
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username: ${{ secrets.USERNAME }}
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password: ${{ secrets.PASSWD }}
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- name: push images to gitea_registry
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run: docker image push "eoelab.org:1027/${{ gitea.repository }}" --all-tags
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23
README.md
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README.md
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# Denv
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English | [中文](README_CN.md)
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**THIS doc for non-CN USER**
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**dockerhub: https://hub.docker.com/r/ben0i0d/gpu**
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**Our Gitea: https://eoelab.org:1027/ben0i0d/gpu**
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## Upstream
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* NVIDIA: https://gitlab.com/nvidia/container-images/cuda
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* ROCM: https://github.com/ROCm/ROCm-docker
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## Platform
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* OS : debian 12
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* ARCH : x86_64
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## Version
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* cuda: 12.4
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* rocm: 6.2
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**Mirror source**
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* apt ustc:https://mirrors.ustc.edu.cn/help/debian.html
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25
README_CN.md
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README_CN.md
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# nvidia-cuda-image
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English | [中文](README_CN.md)
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**为中国用户的文档**
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**dockerhub: https://hub.docker.com/r/ben0i0d/gpu**
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**Gitea: https://eoelab.org:1027/ben0i0d/gpu**
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## 上游
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* NVIDIA: https://gitlab.com/nvidia/container-images/cuda
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* ROCM: https://github.com/ROCm/ROCm-docker
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## 目标平台
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* OS : debian 12(bookworm)
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* ARCH : x86_64
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## 版本
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* cuda: 12.4
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* rocm: 6.2
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## 镜像源
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* apt ustc:https://mirrors.ustc.edu.cn/help/debian.html
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25
cuda/base/Dockerfile
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cuda/base/Dockerfile
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FROM debian:bookworm-slim
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ARG NV_CUDA_CUDART_VERSION=12.4.127-1 \
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NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 \
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NVARCH=x86_64
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# nvidia-container-runtime
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ENV NVIDIA_VISIBLE_DEVICES=all \
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NVIDIA_DRIVER_CAPABILITIES=compute,utility \
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PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} \
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LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}
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RUN sed -i 's/deb.debian.org/mirrors.ustc.edu.cn/g' /etc/apt/sources.list.d/debian.sources && \
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apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && \
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curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && \
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dpkg -i cuda-keyring_1.0-1_all.deb && rm cuda-keyring_1.0-1_all.deb && \
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# # For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
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apt-get update && apt-get install -y --no-install-recommends \
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cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION} \
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${NV_CUDA_COMPAT_PACKAGE} && \
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apt-get clean && rm -rf /var/lib/apt/lists/* && \
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# Required for nvidia-docker v1
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echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
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echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
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31
cuda/devel/Dockerfile
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31
cuda/devel/Dockerfile
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FROM eoelab.org:1027/ben0i0d/gpu:cuda_runtime
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ARG NV_CUDA_CUDART_DEV_VERSION = 12.4.127-1 \
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NV_NVML_DEV_VERSION = 12.4.127-1 \
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NV_LIBCUSPARSE_DEV_VERSION = 12.3.1.170-1 \
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NV_LIBNPP_DEV_PACKAGE = "libnpp-dev-12-4=12.2.5.30-1" \
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NV_LIBCUBLAS_DEV_PACKAGE_NAME = libcublas-dev-12-4 \
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NV_LIBCUBLAS_DEV_PACKAGE = "libcublas-dev-12-4=12.4.5.8-1" \
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NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE = "cuda-nsight-compute-12-4=12.4.1-1" \
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NV_NVPROF_DEV_PACKAGE = "cuda-nvprof-12-4=12.4.127-1" \
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NV_LIBNCCL_DEV_PACKAGE_NAME = libnccl-dev \
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NV_LIBNCCL_DEV_PACKAGE = "libnccl-dev=2.21.5-1+cuda12.4"
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ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:$LIBRARY_PATH
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RUN apt-get update && apt-get install -y --no-install-recommends \
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cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION} \
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cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION} \
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cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION} \
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cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION} \
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cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION} \
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${NV_NVPROF_DEV_PACKAGE} \
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${NV_LIBNPP_DEV_PACKAGE} \
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libcusparse-dev-12-4=${NV_LIBCUSPARSE_DEV_VERSION} \
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${NV_LIBCUBLAS_DEV_PACKAGE} \
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${NV_LIBNCCL_DEV_PACKAGE} \
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${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} &&\
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apt-get clean && rm -rf /var/lib/apt/lists/* && \
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# Keep apt from auto upgrading the cublas and nccl packages. See https://gitlab.com/nvidia/container-images/cuda/-/issues/88
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apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME}
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27
cuda/runtime/Dockerfile
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27
cuda/runtime/Dockerfile
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FROM eoelab.org:1027/ben0i0d/gpu:cuda_base
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ARG NV_NVTX_VERSION = 12.4.127-1 \
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NV_LIBNPP_PACKAGE = "libnpp-12-4=12.2.5.30-1" \
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NV_LIBCUSPARSE_VERSION = 12.3.1.170-1 \
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NV_LIBCUBLAS_PACKAGE_NAME = libcublas-12-4 \
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NV_LIBCUBLAS_PACKAGE = "libcublas-12-4=12.4.5.8-1" \
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NV_LIBNCCL_PACKAGE_NAME = libnccl2 \
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NV_LIBNCCL_PACKAGE = "libnccl2=2.21.5-1+cuda12.4"
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# Add entrypoint items
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COPY entrypoint.d/ /opt/nvidia/entrypoint.d/
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COPY nvidia_entrypoint.sh /opt/nvidia/
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RUN apt-get update && apt-get install -y --no-install-recommends \
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cuda-libraries-12-4=${NV_CUDA_LIB_VERSION} \
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${NV_LIBNPP_PACKAGE} \
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cuda-nvtx-12-4=${NV_NVTX_VERSION} \
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libcusparse-12-4=${NV_LIBCUSPARSE_VERSION} \
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${NV_LIBCUBLAS_PACKAGE} \
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${NV_LIBNCCL_PACKAGE} && \
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apt-get clean && rm -rf /var/lib/apt/lists/* && \
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# Keep apt from auto upgrading the cublas and nccl packages. See https://gitlab.com/nvidia/container-images/cuda/-/issues/88
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apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME}
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ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
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11
cuda/runtime/entrypoint.d/10-banner.sh
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11
cuda/runtime/entrypoint.d/10-banner.sh
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#!/bin/bash
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# Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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_banner_file="${BASH_SOURCE[0]/%.sh/.txt}"
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# 10-banner.sh allows itself to be skipped if there exists a
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# 10-banner.txt, which will be cat'd next alphabetically
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if [[ ! -f "${_banner_file}" && -n "${NVIDIA_PRODUCT_NAME}" ]]; then
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echo
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print_banner_text "=" "${NVIDIA_PRODUCT_NAME}"
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fi
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8
cuda/runtime/entrypoint.d/12-banner.sh
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8
cuda/runtime/entrypoint.d/12-banner.sh
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#!/bin/bash
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# Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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_prodname_uc=$(echo "${NVIDIA_PRODUCT_NAME}" | tr [:lower:] [:upper:] | sed 's/ /_/g' | sed 's/^NVIDIA_//') # Product name
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_compver="${_prodname_uc}_VERSION" # Upstream component version variable name
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echo
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[ -n "${!_compver}" ] && echo "${NVIDIA_PRODUCT_NAME} Version ${!_compver}"
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2
cuda/runtime/entrypoint.d/15-container-copyright.txt
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2
cuda/runtime/entrypoint.d/15-container-copyright.txt
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Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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6
cuda/runtime/entrypoint.d/30-container-license.txt
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6
cuda/runtime/entrypoint.d/30-container-license.txt
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This container image and its contents are governed by the NVIDIA Deep Learning Container License.
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By pulling and using the container, you accept the terms and conditions of this license:
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https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
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A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
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19
cuda/runtime/entrypoint.d/50-gpu-driver-check.sh
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cuda/runtime/entrypoint.d/50-gpu-driver-check.sh
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#!/bin/bash
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# Copyright (c) 2017-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# Check if libcuda.so.1 -- the CUDA driver -- is present in the ld.so cache or in LD_LIBRARY_PATH
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_LIBCUDA_FROM_LD_CACHE=$(ldconfig -p | grep libcuda.so.1)
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_LIBCUDA_FROM_LD_LIBRARY_PATH=$( ( IFS=: ; for i in ${LD_LIBRARY_PATH}; do ls $i/libcuda.so.1 2>/dev/null | grep -v compat; done) )
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_LIBCUDA_FOUND="${_LIBCUDA_FROM_LD_CACHE}${_LIBCUDA_FROM_LD_LIBRARY_PATH}"
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# Check if /dev/nvidiactl (like on Linux) or /dev/dxg (like on WSL2) or /dev/nvgpu (like on Tegra) is present
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_DRIVER_FOUND=$(ls /dev/nvidiactl /dev/dxg /dev/nvgpu 2>/dev/null)
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# If either is not true, then GPU functionality won't be usable.
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if [[ -z "${_LIBCUDA_FOUND}" || -z "${_DRIVER_FOUND}" ]]; then
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echo
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echo "WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available."
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echo " Use the NVIDIA Container Toolkit to start this container with GPU support; see"
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echo " https://docs.nvidia.com/datacenter/cloud-native/ ."
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export NVIDIA_CPU_ONLY=1
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fi
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12
cuda/runtime/entrypoint.d/80-internal-image.sh
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12
cuda/runtime/entrypoint.d/80-internal-image.sh
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#!/bin/bash
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# Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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internal_only_deprecation_notice() {
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echo
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print_banner_text "*" "PRIVATE IMAGE"
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echo "This image is PRIVATE."
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echo "FOR INTERNAL USE ONLY"
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echo "DO NOT ship to external customers!"
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}
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[ -n "${NVIDIA_CUDA_INTERNAL}" ] && internal_only_deprecation_notice
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11
cuda/runtime/entrypoint.d/90-deprecated-image.sh
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cuda/runtime/entrypoint.d/90-deprecated-image.sh
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#!/bin/bash
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# Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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show_deprecation_notice() {
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echo
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print_banner_text "*" "DEPRECATION NOTICE!"
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echo "THIS IMAGE IS DEPRECATED and is scheduled for DELETION."
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echo " https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/support-policy.md"
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}
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[ -n "${NVIDIA_CUDA_END_OF_LIFE}" ] && show_deprecation_notice
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68
cuda/runtime/nvidia_entrypoint.sh
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68
cuda/runtime/nvidia_entrypoint.sh
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#!/bin/bash
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# Copyright (c) 2016-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions
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# are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of NVIDIA CORPORATION nor the names of its
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# contributors may be used to endorse or promote products derived
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# from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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# Gather parts in alpha order
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shopt -s nullglob extglob
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_SCRIPT_DIR="$(dirname "$(readlink -f "${BASH_SOURCE[0]}")")"
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declare -a _PARTS=( "${_SCRIPT_DIR}/entrypoint.d"/*@(.txt|.sh) )
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shopt -u nullglob extglob
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print_repeats() {
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local -r char="$1" count="$2"
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local i
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for ((i=1; i<=$count; i++)); do echo -n "$char"; done
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echo
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}
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print_banner_text() {
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# $1: Banner char
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# $2: Text
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local banner_char=$1
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local -r text="$2"
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local pad="${banner_char}${banner_char}"
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print_repeats "${banner_char}" $((${#text} + 6))
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echo "${pad} ${text} ${pad}"
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print_repeats "${banner_char}" $((${#text} + 6))
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}
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# Execute the entrypoint parts
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for _file in "${_PARTS[@]}"; do
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case "${_file}" in
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*.txt) cat "${_file}";;
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*.sh) source "${_file}";;
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esac
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done
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echo
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# This script can either be a wrapper around arbitrary command lines,
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# or it will simply exec bash if no arguments were given
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if [[ $# -eq 0 ]]; then
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exec "/bin/bash"
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else
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exec "$@"
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fi
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