镜像构建历史
# 2024-11-15 05:43:19 0.00B 设置默认要执行的命令
CMD ["python3" "run_alphafold.py"]
# 2024-11-15 05:43:19 0.00B 设置环境变量 XLA_CLIENT_MEM_FRACTION
ENV XLA_CLIENT_MEM_FRACTION=0.95
# 2024-11-15 05:43:19 0.00B 设置环境变量 XLA_PYTHON_CLIENT_PREALLOCATE
ENV XLA_PYTHON_CLIENT_PREALLOCATE=true
# 2024-11-15 05:43:19 0.00B 设置环境变量 XLA_FLAGS
ENV XLA_FLAGS=--xla_gpu_enable_triton_gemm=false
# 2024-11-15 05:43:19 464.78MB 执行命令并创建新的镜像层
RUN /bin/sh -c build_data # buildkit
# 2024-11-15 05:32:59 969.21MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-deps . # buildkit
# 2024-11-15 04:44:50 6.69GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install -r requirements.txt # buildkit
# 2024-11-15 04:34:36 0.00B 设置工作目录为/app/alphafold
WORKDIR /app/alphafold
# 2024-11-15 04:34:36 26.85MB 复制新文件或目录到容器中
COPY . /app/alphafold # buildkit
# 2024-11-15 04:34:35 25.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir /hmmer_build /hmmer ; wget http://eddylab.org/software/hmmer/hmmer-3.4.tar.gz --directory-prefix /hmmer_build ; (cd /hmmer_build && tar zxf hmmer-3.4.tar.gz && rm hmmer-3.4.tar.gz) ; (cd /hmmer_build/hmmer-3.4 && ./configure --prefix /hmmer) ; (cd /hmmer_build/hmmer-3.4 && make -j8) ; (cd /hmmer_build/hmmer-3.4 && make install) ; (cd /hmmer_build/hmmer-3.4/easel && make install) ; rm -R /hmmer_build # buildkit
# 2024-11-15 04:34:35 0.00B 设置环境变量 PATH
ENV PATH=/hmmer/bin:/alphafold3_venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-11-15 04:26:32 22.52MB 执行命令并创建新的镜像层
RUN /bin/sh -c python3.11 -m venv /alphafold3_venv # buildkit
# 2024-11-15 04:26:10 343.65MB 执行命令并创建新的镜像层
RUN /bin/sh -c add-apt-repository ppa:deadsnakes/ppa && DEBIAN_FRONTEND=noninteractive apt install --yes --quiet python3.11 python3-pip python3.11-venv python3.11-dev # buildkit
# 2024-11-15 04:24:19 248.98MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt update --quiet && apt install --yes --quiet software-properties-common && apt install --yes --quiet git wget sudo # buildkit
# 2024-08-10 01:38:07 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-08-10 01:38:07 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-08-10 01:38:07 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-08-10 01:38:07 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-08-10 01:38:07 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
# 2024-08-10 01:38:07 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
# 2024-08-10 01:38:07 161.58MB 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-12-6=${NV_CUDA_CUDART_VERSION} cuda-compat-12-6 && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-08-10 01:37:56 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.6.0
# 2024-08-10 01:37:56 10.57MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-08-10 01:37:56 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-08-10 01:37:56 0.00B 定义构建参数
ARG TARGETARCH
# 2024-08-10 01:37:56 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.6.37-1
# 2024-08-10 01:37:56 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.6 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551
# 2024-08-10 01:37:56 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-06-28 04:10:12 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-06-28 04:10:12 77.86MB
/bin/sh -c #(nop) ADD file:d5da92199726e42da09a6f75a778befb607fe3f79e4afaf7ef5188329b26b386 in /
# 2024-06-28 04:10:10 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-06-28 04:10:10 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-06-28 04:10:10 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-06-28 04:10:10 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"RepoTags": [
"cford38/alphafold3:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/cford38/alphafold3:latest"
],
"RepoDigests": [
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"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/cford38/alphafold3@sha256:17bbd3cf0e314ab8959a7387ceb23e5aa1337221075910cf6b8962846ff1525d"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-11-14T21:43:19.766471511Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
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"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/hmmer/bin:/alphafold3_venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
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"NV_CUDA_CUDART_VERSION=12.6.37-1",
"CUDA_VERSION=12.6.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"XLA_FLAGS=--xla_gpu_enable_triton_gemm=false",
"XLA_PYTHON_CLIENT_PREALLOCATE=true",
"XLA_CLIENT_MEM_FRACTION=0.95"
],
"Cmd": [
"python3",
"run_alphafold.py"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app/alphafold",
"Entrypoint": null,
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
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"Os": "linux",
"Size": 9038790057,
"GraphDriver": {
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