coder (pytorch-base)
Published 2024-09-28 11:10:26 +00:00 by martin
Installation
docker pull gitea.hnatekmar.xyz/public/coder:pytorch-basesha256:b4ef0b4007c7da1c6b9fed566e9567819e0078d2bf9f36d5c07ac79314830b5bImage Layers
| ARG RELEASE |
| ARG LAUNCHPAD_BUILD_ARCH |
| LABEL org.opencontainers.image.ref.name=ubuntu |
| LABEL org.opencontainers.image.version=22.04 |
| ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / |
| CMD ["/bin/bash"] |
| ENV NVARCH=x86_64 |
| ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 |
| ENV NV_CUDA_CUDART_VERSION=11.8.89-1 |
| ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8 |
| ARG TARGETARCH |
| LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com> |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit |
| ENV CUDA_VERSION=11.8.0 |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-8=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit |
| RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit |
| ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin |
| ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 |
| COPY NGC-DL-CONTAINER-LICENSE / # buildkit |
| ENV NVIDIA_VISIBLE_DEVICES=all |
| ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility |
| ENV NV_CUDA_LIB_VERSION=11.8.0-1 |
| ENV NV_NVTX_VERSION=11.8.86-1 |
| ENV NV_LIBNPP_VERSION=11.8.0.86-1 |
| ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1 |
| ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1 |
| ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8 |
| ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1 |
| ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1 |
| ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2 |
| ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1 |
| ENV NCCL_VERSION=2.15.5-1 |
| ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8 |
| ARG TARGETARCH |
| LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com> |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-11-8=${NV_NVTX_VERSION} libcusparse-11-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit |
| COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit |
| COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit |
| ENV NVIDIA_PRODUCT_NAME=CUDA |
| ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"] |
| ENV NV_CUDA_LIB_VERSION=11.8.0-1 |
| ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1 |
| ENV NV_NVML_DEV_VERSION=11.8.86-1 |
| ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1 |
| ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1 |
| ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1 |
| ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1 |
| ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8 |
| ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1 |
| ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1 |
| ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1 |
| ENV NV_NVPROF_VERSION=11.8.87-1 |
| ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1 |
| ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev |
| ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1 |
| ENV NCCL_VERSION=2.15.5-1 |
| ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8 |
| ARG TARGETARCH |
| LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com> |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-11-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-11-8=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit |
| RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit |
| ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs |
| ARG PYTORCH_VERSION=2.4.1 |
| ARG TRITON_VERSION= |
| ARG TARGETPLATFORM=linux/amd64 |
| ARG CUDA_VERSION=11.8.0 |
| LABEL com.nvidia.volumes.needed=nvidia_driver |
| RUN |4 PYTORCH_VERSION=2.4.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends ca-certificates libjpeg-dev libpng-dev && rm -rf /var/lib/apt/lists/* # buildkit |
| COPY /opt/conda /opt/conda # buildkit |
| RUN |4 PYTORCH_VERSION=2.4.1 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.8.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends gcc; rm -rf /var/lib/apt/lists/*; fi # buildkit |
| ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin |
| ENV NVIDIA_VISIBLE_DEVICES=all |
| ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility |
| ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 |
| ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin |
| ENV PYTORCH_VERSION=2.4.1 |
| WORKDIR /workspace |
| USER root |
| /bin/sh -c apt-get update && apt-get install --yes bash build-essential ca-certificates curl htop jq locales man python3 python3-pip software-properties-common sudo systemd systemd-sysv unzip tmux vim wget rsync && add-apt-repository ppa:git-core/ppa && apt-get install --yes git && rm -rf /var/lib/apt/lists/* |
| /bin/sh -c curl -fsSL https://code-server.dev/install.sh | sh |
| ENV LANG=en_US.UTF-8 |
| /bin/sh -c useradd coder --create-home --shell=/bin/bash --uid=1000 --user-group && echo "coder ALL=(ALL) NOPASSWD:ALL" >>/etc/sudoers.d/nopasswd |
| USER coder |
Labels
| Key | Value |
|---|---|
| com.nvidia.volumes.needed | nvidia_driver |
| io.buildah.version | 1.37.3 |
| maintainer | NVIDIA CORPORATION <cudatools@nvidia.com> |
| org.opencontainers.image.ref.name | ubuntu |
| org.opencontainers.image.version | 22.04 |
Details
2024-09-28 11:10:26 +00:00
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OCI / Docker
linux/amd64
7.4 GiB
pytorch-base
2024-09-28