docker.io/pennlinc/qsiprep:latest linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest  docker.io/pennlinc/qsiprep:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest  docker.io/pennlinc/qsiprep:latest

Shell快速替换命令

sed -i 's#pennlinc/qsiprep:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep: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/pennlinc/qsiprep:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest  docker.io/pennlinc/qsiprep: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/pennlinc/qsiprep:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest  docker.io/pennlinc/qsiprep:latest'

镜像构建历史

# 2025-01-15 09:23:30  0.00B 添加元数据标签
LABEL org.label-schema.build-date=2025-01-15T01:19:17Z org.label-schema.name=qsiprep org.label-schema.description=qsiprep - q Space Images preprocessing tool org.label-schema.url=http://qsiprep.readthedocs.io org.label-schema.vcs-ref=ee9aa2e org.label-schema.vcs-url=https://github.com/pennlinc/qsiprep org.label-schema.version=1.0.0 org.label-schema.schema-version=1.0
                        
# 2025-01-15 09:23:30  0.00B 定义构建参数
ARG VERSION
                        
# 2025-01-15 09:23:30  0.00B 定义构建参数
ARG VCS_REF
                        
# 2025-01-15 09:23:30  0.00B 定义构建参数
ARG BUILD_DATE
                        
# 2025-01-15 09:23:30  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/conda/envs/qsiprep/bin/qsiprep"]
                        
# 2025-01-15 09:23:30  0.00B 设置工作目录为/tmp/
WORKDIR /tmp/
                        
# 2025-01-15 09:23:30  53.97KB 执行命令并创建新的镜像层
RUN /bin/sh -c ldconfig # buildkit
                        
# 2025-01-15 09:23:29  225.10MB 执行命令并创建新的镜像层
RUN /bin/sh -c find $HOME -type d -exec chmod go=u {} + &&     find $HOME -type f -exec chmod go=u {} + # buildkit
                        
# 2025-01-15 09:23:28  76.65KB 执行命令并创建新的镜像层
RUN /bin/sh -c python -c "from matplotlib import font_manager" &&     sed -i 's/\(backend *: \).*$/\1Agg/g' $( python -c "import matplotlib; print(matplotlib.matplotlib_fname())" ) # buildkit
                        
# 2025-01-15 09:23:27  245.83MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir $( ls *.whl ) # buildkit
                        
# 2025-01-15 09:23:14  9.49MB 复制新文件或目录到容器中
COPY /src/qsiprep/dist/*.whl . # buildkit
                        
# 2024-11-14 06:08:26  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /sngl/data   && mkdir /sngl/qsiprep-output   && mkdir /sngl/out   && mkdir /sngl/scratch   && mkdir /sngl/eddy   && mkdir /sngl/filter   && chmod a+rwx /sngl/* # buildkit
                        
# 2024-11-14 06:08:26  6.08MB 执行命令并创建新的镜像层
RUN /bin/sh -c strip --remove-section=.note.ABI-tag /opt/qt512/lib/libQt5Core.so.5.12.8     && ldconfig # buildkit
                        
# 2024-11-14 06:08:26  47.97MB 执行命令并创建新的镜像层
RUN /bin/sh -c python fetch_templates.py &&     rm fetch_templates.py &&     find $HOME/.cache/templateflow -type d -exec chmod go=u {} + &&     find $HOME/.cache/templateflow -type f -exec chmod go=u {} + # buildkit
                        
# 2024-11-14 06:08:21  3.69KB 复制新文件或目录到容器中
COPY scripts/fetch_templates.py fetch_templates.py # buildkit
                        
# 2024-11-14 06:08:21  0.00B 设置工作目录为/root/
WORKDIR /root/
                        
# 2024-11-14 06:08:21  0.00B 设置环境变量 HOME MKL_NUM_THREADS OMP_NUM_THREADS MRTRIX_NTHREADS KMP_WARNINGS CRN_SHARED_DATA IS_DOCKER_8395080871 ARTHOME DIPY_HOME QTDIR PATH LD_LIBRARY_PATH PKG_CONFIG_PATH LD_LIBRARY_PATH
ENV HOME=/home/qsiprep MKL_NUM_THREADS=1 OMP_NUM_THREADS=1 MRTRIX_NTHREADS=1 KMP_WARNINGS=0 CRN_SHARED_DATA=/niworkflows_data IS_DOCKER_8395080871=1 ARTHOME=/opt/art DIPY_HOME=/home/qsiprep/.dipy QTDIR=/opt/qt512 PATH=/opt/qt512/bin:/opt/art/bin:/opt/convert3d-nightly/bin:/opt/conda/envs/qsiprep/bin:/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin LD_LIBRARY_PATH=/opt/qt512/lib/x86_64-linux-gnu:/opt/qt512/lib:/opt/qt512/lib/x86_64-linux-gnu:/opt/qt512/lib:/opt/ants/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PKG_CONFIG_PATH=/opt/qt512/lib/pkgconfig:/opt/qt512/lib/pkgconfig: LD_LIBRARY_PATH=/opt/qt512/lib/x86_64-linux-gnu:/opt/qt512/lib:/opt/ants/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/envs/qsiprep/lib/python3.10/site-packages/nvidia/cudnn/lib:/opt/freesurfer/lib
                        
# 2024-11-14 06:08:21  25.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c cd /opt/art     && curl -fsSL https://osf.io/73h5s/download     | tar xz --strip-components 1 # buildkit
                        
# 2024-11-14 06:08:18  0.00B 设置环境变量 PATH
ENV PATH=/opt/art/bin:/opt/convert3d-nightly/bin:/opt/conda/envs/qsiprep/bin:/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin
                        
# 2024-11-14 06:08:18  0.00B 设置工作目录为/opt/art
WORKDIR /opt/art
                        
# 2024-11-14 06:08:18  5.25MB 执行命令并创建新的镜像层
RUN /bin/sh -c add-apt-repository ppa:ubuntu-toolchain-r/test     && apt-get update     && apt-get install -y --no-install-recommends libstdc++6     && apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
                        
# 2024-11-14 06:08:09  219.27MB 复制新文件或目录到容器中
COPY /opt/dsi-studio /opt/dsi-studio # buildkit
                        
# 2024-11-14 06:08:07  275.87MB 执行命令并创建新的镜像层
RUN /bin/sh -c add-apt-repository ppa:beineri/opt-qt-5.12.8-bionic     && apt-get update     && apt install -y --no-install-recommends     ${DSI_STUDIO_DEPS} ${MRTRIX3_DEPS} ${TORTOISE_DEPS} wget git binutils     && apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
                        
# 2024-11-14 06:07:41  126.80MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -o pandoc-2.2.2.1-1-amd64.deb -sSL "https://github.com/jgm/pandoc/releases/download/2.2.2.1/pandoc-2.2.2.1-1-amd64.deb" &&     dpkg -i pandoc-2.2.2.1-1-amd64.deb &&     rm pandoc-2.2.2.1-1-amd64.deb # buildkit
                        
# 2024-11-14 06:07:39  174.51MB 执行命令并创建新的镜像层
RUN /bin/sh -c npm install -g svgo     && npm install -g bids-validator@1.8.4 # buildkit
                        
# 2024-11-14 06:07:26  116.79MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update &&     apt-get install -y --no-install-recommends         zlib1g-dev graphviz libfftw3-3 &&     curl -sL https://deb.nodesource.com/setup_16.x | bash - &&     apt-get install -y --no-install-recommends       nodejs &&     apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
                        
# 2024-11-14 06:06:55  0.00B 设置环境变量 C3DPATH PATH
ENV C3DPATH=/opt/convert3d-nightly PATH=/opt/convert3d-nightly/bin:/opt/conda/envs/qsiprep/bin:/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin
                        
# 2024-11-14 06:06:55  174.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c echo "Downloading Convert3D ..."     && mkdir -p /opt/convert3d-nightly     && curl -fsSL --retry 5 https://sourceforge.net/projects/c3d/files/c3d/Nightly/c3d-nightly-Linux-x86_64.tar.gz/download     | tar -xz -C /opt/convert3d-nightly --strip-components 1     --exclude "c3d-1.0.0-Linux-x86_64/lib"     --exclude "c3d-1.0.0-Linux-x86_64/share"     --exclude "c3d-1.0.0-Linux-x86_64/bin/c3d_gui" # buildkit
                        
# 2024-11-14 06:06:52  272.00MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update -qq     && apt-get install -y -q --no-install-recommends            apt-utils            bzip2            ca-certificates            curl            ed            bc            gsl-bin            libglib2.0-0            libglu1-mesa-dev            libglw1-mesa            libgomp1            libjpeg62            libpng16-16            libquadmath0            libxm4            libxmu6            libxt6            perl            libtiff5            netpbm            software-properties-common            tcsh            xfonts-base            xvfb            zlib1g-dev     && apt-get clean     && rm -rf /var/lib/apt/lists/*     && curl -sSL --retry 5 -o /tmp/libxp6.deb https://upenn.box.com/shared/static/reyyundn0l3guvjzghrrv6t4w6md2tjd.deb     && dpkg -i /tmp/libxp6.deb     && rm /tmp/libxp6.deb     && curl -sSL --retry 5 -o /tmp/libpng.deb http://snapshot.debian.org/archive/debian-security/20160113T213056Z/pool/updates/main/libp/libpng/libpng12-0_1.2.49-1%2Bdeb7u2_amd64.deb     && dpkg -i /tmp/libpng.deb     && rm /tmp/libpng.deb     && apt-get install -f --no-install-recommends     && apt-get clean     && rm -rf /var/lib/apt/lists/*     && gsl2_path="$(find / -name 'libgsl.so.19' || printf '')"     && if [ -n "$gsl2_path" ]; then          ln -sfv "$gsl2_path" "$(dirname $gsl2_path)/libgsl.so.0";     fi     && ldconfig     && apt-get clean && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
                        
# 2024-11-14 06:06:16  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/envs/qsiprep/bin:/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin
                        
# 2024-11-14 06:06:16  177.09MB 复制新文件或目录到容器中
COPY /home/qsiprep/.dipy /home/qsiprep/.dipy # buildkit
                        
# 2024-11-14 06:06:15  8.48GB 复制新文件或目录到容器中
COPY /opt/conda/envs/qsiprep /opt/conda/envs/qsiprep # buildkit
                        
# 2024-11-14 06:04:08  0.00B 设置工作目录为/home/qsiprep
WORKDIR /home/qsiprep
                        
# 2024-11-14 06:04:08  397.84KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd -m -s /bin/bash -G users qsiprep # buildkit
                        
# 2024-11-14 06:04:07  0.00B 设置环境变量 PATH TORTOISE_DEPS
ENV PATH=/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin TORTOISE_DEPS=fftw3
                        
# 2024-11-14 06:04:07  32.48MB 复制新文件或目录到容器中
COPY /src/TORTOISEV4/bin/*cuda /src/TORTOISEV4/bin/ # buildkit
                        
# 2024-11-14 06:04:07  144.56MB 复制新文件或目录到容器中
COPY /usr/local/boost176 /usr/local/boost176 # buildkit
                        
# 2024-11-14 06:03:56  17.88KB 复制新文件或目录到容器中
COPY /src/TORTOISEV4/settings /src/TORTOISEV4/settings # buildkit
                        
# 2024-11-14 06:03:56  85.39MB 复制新文件或目录到容器中
COPY /src/TORTOISEV4/bin /src/TORTOISEV4/bin # buildkit
                        
# 2024-11-14 06:03:55  0.00B 设置环境变量 PATH AFNI_INSTALLDIR AFNI_IMSAVE_WARNINGS
ENV PATH=/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest AFNI_INSTALLDIR=/opt/afni-latest AFNI_IMSAVE_WARNINGS=NO
                        
# 2024-11-14 06:03:55  110.40MB 复制新文件或目录到容器中
COPY /opt/afni-latest /opt/afni-latest # buildkit
                        
# 2024-11-14 06:03:55  0.00B 设置环境变量 SYNB0_ATLASES
ENV SYNB0_ATLASES=/opt/synb0/atlases
                        
# 2024-11-14 06:03:55  411.42MB 复制新文件或目录到容器中
COPY /opt/synb0 /opt/synb0 # buildkit
                        
# 2024-11-14 06:03:52  124.55KB 执行命令并创建新的镜像层
RUN /bin/sh -c chmod a+rx /opt/freesurfer/bin/mri_synthseg /opt/freesurfer/bin/mri_synthstrip # buildkit
                        
# 2024-11-14 06:03:52  0.00B 设置环境变量 PERL5LIB MNI_PERL5LIB PATH FREESURFER_DEPS
ENV PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 PATH=/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin FREESURFER_DEPS=bc ca-certificates curl libgomp1 libxmu6 libxt6 tcsh perl
                        
# 2024-11-14 06:03:52  0.00B 设置环境变量 SUBJECTS_DIR FUNCTIONALS_DIR MNI_DIR LOCAL_DIR MINC_BIN_DIR MINC_LIB_DIR MNI_DATAPATH
ENV SUBJECTS_DIR=/opt/freesurfer/subjects FUNCTIONALS_DIR=/opt/freesurfer/sessions MNI_DIR=/opt/freesurfer/mni LOCAL_DIR=/opt/freesurfer/local MINC_BIN_DIR=/opt/freesurfer/mni/bin MINC_LIB_DIR=/opt/freesurfer/mni/lib MNI_DATAPATH=/opt/freesurfer/mni/data
                        
# 2024-11-14 06:03:52  0.00B 设置环境变量 FSL_DIR OS FS_OVERRIDE FIX_VERTEX_AREA FSF_OUTPUT_FORMAT FREESURFER_HOME
ENV FSL_DIR=/opt/conda/envs/fslqsiprep OS=Linux FS_OVERRIDE=0 FIX_VERTEX_AREA= FSF_OUTPUT_FORMAT=nii.gz FREESURFER_HOME=/opt/freesurfer
                        
# 2024-11-14 06:03:52  857.89MB 复制新文件或目录到容器中
COPY /opt/freesurfer /opt/freesurfer # buildkit
                        
# 2024-11-14 06:03:46  0.00B 设置环境变量 PATH MRTRIX3_DEPS
ENV PATH=/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin MRTRIX3_DEPS=bzip2 ca-certificates curl libpng16-16 libblas3 liblapack3
                        
# 2024-11-14 06:03:46  143.44MB 复制新文件或目录到容器中
COPY /opt/3Tissue /opt/3Tissue # buildkit
                        
# 2024-11-14 06:03:44  160.01MB 复制新文件或目录到容器中
COPY /opt/mrtrix3-latest /opt/mrtrix3-latest # buildkit
                        
# 2024-11-14 06:03:42  0.00B 设置环境变量 QTDIR LD_LIBRARY_PATH PKG_CONFIG_PATH PATH DSI_STUDIO_DEPS
ENV QTDIR=/opt/qt512 LD_LIBRARY_PATH=/opt/qt512/lib/x86_64-linux-gnu:/opt/qt512/lib:/opt/ants/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PKG_CONFIG_PATH=/opt/qt512/lib/pkgconfig: PATH=/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio DSI_STUDIO_DEPS=qt512base qt512charts-no-lgpl
                        
# 2024-11-14 06:03:42  0.00B 设置环境变量 QT_BASE_DIR
ENV QT_BASE_DIR=/opt/qt512
                        
# 2024-11-14 06:03:42  0.00B 设置环境变量 ANTSPATH LD_LIBRARY_PATH PATH ANTS_DEPS
ENV ANTSPATH=/opt/ants/bin LD_LIBRARY_PATH=/opt/ants/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 PATH=/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin ANTS_DEPS=zlib1g-dev
                        
# 2024-11-14 06:03:42  365.17MB 复制新文件或目录到容器中
COPY /opt/ants /opt/ants # buildkit
                        
# 2024-11-14 06:03:42  0.00B 设置环境变量 FSLDIR FSLOUTPUTTYPE FSLMULTIFILEQUIT FSLLOCKDIR FSLMACHINELIST FSLREMOTECALL FSLGECUDAQ PATH FSL_DEPS FSL_BUILD
ENV FSLDIR=/opt/conda/envs/fslqsiprep FSLOUTPUTTYPE=NIFTI_GZ FSLMULTIFILEQUIT=TRUE FSLLOCKDIR= FSLMACHINELIST= FSLREMOTECALL= FSLGECUDAQ=cuda.q PATH=/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin FSL_DEPS=libquadmath0 FSL_BUILD=
                        
# 2024-11-14 06:03:39  2.20GB 复制新文件或目录到容器中
COPY /opt/conda/envs/fslqsiprep /opt/conda/envs/fslqsiprep # buildkit
                        
# 2022-10-28 12:21:50  250.07KB 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
                        
# 2022-10-28 12:21:49  2.40GB 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-11-1=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-1=${NV_NVTX_VERSION}     libcusparse-11-1=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:21:49  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 12:21:49  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.8.4-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.3.0.106-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.3.0.10-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.1.2.301-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.1.74-1
                        
# 2022-10-28 12:21:49  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.1.1-1
                        
# 2022-10-28 12:16:20  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2022-10-28 12:16:20  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2022-10-28 12:16:20  16.05KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2022-10-28 12:16:19  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2022-10-28 12:16:19  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
                        
# 2022-10-28 12:16:19  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
                        
# 2022-10-28 12:16:19  32.68MB 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-11-1=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && ln -s cuda-11.1 /usr/local/cuda &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.1.1
                        
# 2022-10-28 12:16:04  16.54MB 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/ubuntu1804/${NVARCH}/3bf863cc.pub | apt-key add - &&     echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list &&     apt-get purge --autoremove -y curl     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-28 12:16:04  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2022-10-28 12:16:04  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.1.74-1
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=450,driver<451
                        
# 2022-10-28 12:16:04  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2022-10-25 09:53:28  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-10-25 09:53:28  63.15MB 
/bin/sh -c #(nop) ADD file:fc5d658c47ede58827812b75a311353be776e41e2dd339b8906839527c9b5247 in / 
                        
                    

镜像信息

{
    "Id": "sha256:e45b777513f965128d49a20641af7f9093b3775b4d08612d392d2df5e6373a8b",
    "RepoTags": [
        "pennlinc/qsiprep:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep:latest"
    ],
    "RepoDigests": [
        "pennlinc/qsiprep@sha256:ebbfe74b9d35df9fbe9873d383a5f11171b0411ae9a9098d330290884c7c853b",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/pennlinc/qsiprep@sha256:ebbfe74b9d35df9fbe9873d383a5f11171b0411ae9a9098d330290884c7c853b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-01-15T01:23:30.432823154Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/qt512/bin:/opt/art/bin:/opt/convert3d-nightly/bin:/opt/conda/envs/qsiprep/bin:/opt/freesurfer/bin:/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/opt/qt512/bin:/opt/conda/envs/fslqsiprep/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ants/bin:/opt/dsi-studio:/opt/mrtrix3-latest/bin:/opt/3Tissue/bin:/opt/afni-latest:/src/TORTOISEV4/bin",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=11.1 brand=tesla,driver\u003e=418,driver\u003c419 brand=tesla,driver\u003e=450,driver\u003c451",
            "NV_CUDA_CUDART_VERSION=11.1.74-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-1",
            "CUDA_VERSION=11.1.1",
            "LD_LIBRARY_PATH=/opt/qt512/lib/x86_64-linux-gnu:/opt/qt512/lib:/opt/ants/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/envs/qsiprep/lib/python3.10/site-packages/nvidia/cudnn/lib:/opt/freesurfer/lib",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "NV_CUDA_LIB_VERSION=11.1.1-1",
            "NV_NVTX_VERSION=11.1.74-1",
            "NV_LIBNPP_VERSION=11.1.2.301-1",
            "NV_LIBNPP_PACKAGE=libnpp-11-1=11.1.2.301-1",
            "NV_LIBCUSPARSE_VERSION=11.3.0.10-1",
            "NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-1",
            "NV_LIBCUBLAS_VERSION=11.3.0.106-1",
            "NV_LIBCUBLAS_PACKAGE=libcublas-11-1=11.3.0.106-1",
            "NV_LIBNCCL_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL_PACKAGE_VERSION=2.8.4-1",
            "NCCL_VERSION=2.8.4-1",
            "NV_LIBNCCL_PACKAGE=libnccl2=2.8.4-1+cuda11.1",
            "FSLDIR=/opt/conda/envs/fslqsiprep",
            "FSLOUTPUTTYPE=NIFTI_GZ",
            "FSLMULTIFILEQUIT=TRUE",
            "FSLLOCKDIR=",
            "FSLMACHINELIST=",
            "FSLREMOTECALL=",
            "FSLGECUDAQ=cuda.q",
            "FSL_DEPS=libquadmath0",
            "FSL_BUILD=",
            "ANTSPATH=/opt/ants/bin",
            "ANTS_DEPS=zlib1g-dev",
            "QT_BASE_DIR=/opt/qt512",
            "QTDIR=/opt/qt512",
            "PKG_CONFIG_PATH=/opt/qt512/lib/pkgconfig:/opt/qt512/lib/pkgconfig:",
            "DSI_STUDIO_DEPS=qt512base qt512charts-no-lgpl",
            "MRTRIX3_DEPS=bzip2 ca-certificates curl libpng16-16 libblas3 liblapack3",
            "FSL_DIR=/opt/conda/envs/fslqsiprep",
            "OS=Linux",
            "FS_OVERRIDE=0",
            "FIX_VERTEX_AREA=",
            "FSF_OUTPUT_FORMAT=nii.gz",
            "FREESURFER_HOME=/opt/freesurfer",
            "SUBJECTS_DIR=/opt/freesurfer/subjects",
            "FUNCTIONALS_DIR=/opt/freesurfer/sessions",
            "MNI_DIR=/opt/freesurfer/mni",
            "LOCAL_DIR=/opt/freesurfer/local",
            "MINC_BIN_DIR=/opt/freesurfer/mni/bin",
            "MINC_LIB_DIR=/opt/freesurfer/mni/lib",
            "MNI_DATAPATH=/opt/freesurfer/mni/data",
            "PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5",
            "MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5",
            "FREESURFER_DEPS=bc ca-certificates curl libgomp1 libxmu6 libxt6 tcsh perl",
            "SYNB0_ATLASES=/opt/synb0/atlases",
            "AFNI_INSTALLDIR=/opt/afni-latest",
            "AFNI_IMSAVE_WARNINGS=NO",
            "TORTOISE_DEPS=fftw3",
            "C3DPATH=/opt/convert3d-nightly",
            "HOME=/home/qsiprep",
            "MKL_NUM_THREADS=1",
            "OMP_NUM_THREADS=1",
            "MRTRIX_NTHREADS=1",
            "KMP_WARNINGS=0",
            "CRN_SHARED_DATA=/niworkflows_data",
            "IS_DOCKER_8395080871=1",
            "ARTHOME=/opt/art",
            "DIPY_HOME=/home/qsiprep/.dipy"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/tmp/",
        "Entrypoint": [
            "/opt/conda/envs/qsiprep/bin/qsiprep"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
            "org.label-schema.build-date": "2025-01-15T01:19:17Z",
            "org.label-schema.description": "qsiprep - q Space Images preprocessing tool",
            "org.label-schema.name": "qsiprep",
            "org.label-schema.schema-version": "1.0",
            "org.label-schema.url": "http://qsiprep.readthedocs.io",
            "org.label-schema.vcs-ref": "ee9aa2e",
            "org.label-schema.vcs-url": "https://github.com/pennlinc/qsiprep",
            "org.label-schema.version": "1.0.0"
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    "Architecture": "amd64",
    "Os": "linux",
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    "GraphDriver": {
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