docker.io/biochunan/esmfold-image:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest  docker.io/biochunan/esmfold-image:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest  docker.io/biochunan/esmfold-image:latest

Shell快速替换命令

sed -i 's#biochunan/esmfold-image:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest  docker.io/biochunan/esmfold-image:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/biochunan/esmfold-image:latest  docker.io/biochunan/esmfold-image:latest'

镜像构建历史

# 2024-05-05 09:51:11  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["zsh" "run-esm-fold.sh"]
                        
# 2024-05-05 09:51:11  0.00B 设置工作目录为/root
WORKDIR /root
                        
# 2024-05-05 09:51:11  125.00B 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c chmod +x $HOME/run-esm-fold.sh # buildkit
                        
# 2024-05-05 09:51:11  125.00B 复制新文件或目录到容器中
COPY run-esm-fold.sh /root/run-esm-fold.sh # buildkit
                        
# 2024-05-05 09:51:10  0.00B 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c apt-get clean # buildkit
                        
# 2024-05-05 09:51:10  2.77GB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c curl https://dl.fbaipublicfiles.com/fair-esm/models/esmfold_3B_v1.pt -o esmfold_3B_v1.pt # buildkit
                        
# 2024-05-05 09:50:16  5.68GB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c curl https://dl.fbaipublicfiles.com/fair-esm/models/esm2_t36_3B_UR50D.pt -o esm2_t36_3B_UR50D.pt # buildkit
                        
# 2024-05-05 09:49:23  6.87KB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c gdown --fuzzy -O esm2_t36_3B_UR50D-contact-regression.pt 1lW8CVTSzX8bwLxbM8lAu_qXQkrPZuSxA # buildkit
                        
# 2024-05-05 09:49:21  0.00B 设置工作目录为/root/.cache/torch/hub/checkpoints
WORKDIR /root/.cache/torch/hub/checkpoints
                        
# 2024-05-05 09:49:21  0.00B 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c mkdir -p $HOME/.cache/torch/hub/checkpoints # buildkit
                        
# 2024-05-05 09:49:20  6.80GB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c chmod +x $HOME/create-env.sh   && zsh $HOME/create-env.sh   && rm $HOME/create-env.sh # buildkit
                        
# 2024-05-05 09:44:06  934.00B 复制新文件或目录到容器中
COPY ./create-env.sh /root/create-env.sh # buildkit
                        
# 2024-05-05 09:44:06  41.04MB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c tar -zxvf $HOME/openfold.tar.gz -C $HOME     && rm $HOME/openfold.tar.gz # buildkit
                        
# 2024-05-05 09:44:05  39.56MB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c gdown --fuzzy --no-cookies --no-check-certificate -O $HOME/openfold.tar.gz 13HYb90DiUrlnydSluE2yyxjGZ00vVYDf     && gdown --fuzzy --no-cookies --no-check-certificate -O $HOME/esm-main.tar.gz 13HqB428kfL0vhbApgW6jwPdz-I_D0AjZ # buildkit
                        
# 2024-05-05 09:43:53  0.00B 设置工作目录为/root
WORKDIR /root
                        
# 2024-05-05 09:43:53  0.00B 设置环境变量 PATH
ENV PATH=/root/.local/bin:/miniconda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-05-05 09:43:53  1.97MB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c pip install gdown==5.0.1 # buildkit
                        
# 2024-05-05 09:43:51  68.36KB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c source /miniconda/etc/profile.d/conda.sh   && conda init zsh # buildkit
                        
# 2024-05-05 09:43:49  0.00B 设置环境变量 PATH
ENV PATH=/miniconda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-05-05 09:43:49  0.00B 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c rm Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh # buildkit
                        
# 2024-05-05 09:43:47  640.03MB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c bash Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh -p /miniconda -b # buildkit
                        
# 2024-05-05 09:43:40  143.35MB 执行命令并创建新的镜像层
RUN |3 CONDA_VER=latest PLATFORM=Linux OS_TYPE=x86_64 /bin/zsh -c curl -LO "http://repo.continuum.io/miniconda/Miniconda3-${CONDA_VER}-Linux-${OS_TYPE}.sh" # buildkit
                        
# 2024-05-05 09:43:38  0.00B 定义构建参数
ARG OS_TYPE=x86_64
                        
# 2024-05-05 09:43:38  0.00B 定义构建参数
ARG PLATFORM=Linux
                        
# 2024-05-05 09:43:38  0.00B 定义构建参数
ARG CONDA_VER=latest
                        
# 2024-05-05 09:43:38  0.00B 
SHELL [/bin/zsh -c]
                        
# 2024-05-05 09:43:38  1.85KB 执行命令并创建新的镜像层
RUN /bin/sh -c chsh -s /bin/zsh # buildkit
                        
# 2024-05-05 09:43:37  10.31MB 执行命令并创建新的镜像层
RUN /bin/sh -c sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)" || true # buildkit
                        
# 2024-05-05 09:43:36  177.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update   && apt-get install -yq   zsh   curl   vim   git   && apt-get clean # buildkit
                        
# 2024-05-05 09:43:36  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2023-11-10 16:25:55  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 16:25:55  374.41KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:25:54  3.08GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     libtinfo5 libncursesw5     cuda-cudart-dev-11-3=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-3=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-3=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-3=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-3=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-3=${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
                        
# 2023-11-10 16:25:54  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:25:54  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.9.9-1+cuda11.3
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.9.9-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-3=11.3.111-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.3.111-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-3=11.3.0-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.3.0-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-3=11.5.1.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-3
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.5.1.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-3=11.3.3.95-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.3.3.95-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.6.0.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.3.58-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.3.109-1
                        
# 2023-11-10 16:25:54  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2023-11-10 16:15:23  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 16:15:23  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 16:15:23  3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2023-11-10 16:15:23  256.87KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
                        
# 2023-11-10 16:15:23  1.74GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-libraries-11-3=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-3=${NV_NVTX_VERSION}     libcusparse-11-3=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:15:23  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:15:23  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.3
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.9.9-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.9-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.5.1.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-3
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.3.3.95-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.3.109-1
                        
# 2023-11-10 16:15:23  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.3.1-1
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 16:08:24  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-11-10 16:08:24  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-11-10 16:08:24  46.00B 执行命令并创建新的镜像层
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
                        
# 2023-11-10 16:08:24  34.23MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     cuda-cudart-11-3=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.3.1
                        
# 2023-11-10 16:08:13  18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends     gnupg2 curl ca-certificates &&     curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 16:08:13  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 16:08:13  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-3
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.3.109-1
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand driver>
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 driver>=450
                        
# 2023-11-10 16:08:13  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2023-10-03 18:45:52  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-03 18:45:51  72.79MB 
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in / 
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-03 18:45:50  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Author": "",
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        "Hostname": "",
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        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/.local/bin:/miniconda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.3 brand=tesla,driver\u003e=418,driver\u003c419 driver\u003e=450",
            "NV_CUDA_CUDART_VERSION=11.3.109-1",
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