镜像构建历史
# 2024-05-11 20:20:43 982.97MB
|1 PREBUILT_VERSION=e45bfeb.cu123.manual25434.20240509 /bin/sh -c mkdir ~/dataset && curl -fsSL -o ~/dataset/enwiki-100m_text_document.idx https://halo.corp.kuaishou.com/api/cloud-storage/v1/public-objects/yuantailing/Documents%2Fatc24ae%2Fenwiki-100m_text_document.idx && curl -fsSL -o ~/dataset/enwiki-100m_text_document.bin https://halo.corp.kuaishou.com/api/cloud-storage/v1/public-objects/yuantailing/Documents%2Fatc24ae%2Fenwiki-100m_text_document.bin
# 2024-05-11 20:20:33 0.00B
/bin/sh -c #(nop) ENV http_proxy= https_proxy= no_proxy=
# 2024-05-11 20:20:33 238.60MB
|1 PREBUILT_VERSION=e45bfeb.cu123.manual25434.20240509 /bin/sh -c python3 -m pip install --no-cache-dir cuda-python einops nvtx pybind11 pynvml regex sentencepiece==0.1.99 six transformers==4.36.2
# 2024-05-11 20:20:16 1.50GB
|1 PREBUILT_VERSION=e45bfeb.cu123.manual25434.20240509 /bin/sh -c python3 -m pip install --no-cache-dir http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/torch-2.1.0rc2+kaimm-cp38-cp38-linux_x86_64.whl http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/apex-0.1-cp38-cp38-linux_x86_64.whl http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/flash_attn-2.2.5-cp38-cp38-linux_x86_64.whl http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/torchvision-0.16.0+1044d0f-cp38-cp38-linux_x86_64.whl http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/transformer_engine-1.1.0+4887571-cp38-cp38-linux_x86_64.whl
# 2024-05-11 20:19:32 0.00B
/bin/sh -c #(nop) ENV http_proxy=http://oversea-squid2.ko.txyun:11080 https_proxy=http://oversea-squid2.ko.txyun:11080 no_proxy=localhost,127.0.0.1,localaddress,localdomain.com,internal,corp.kuaishou.com,test.gifshow.com,staging.kuaishou.com
# 2024-05-11 20:19:32 0.00B
/bin/sh -c #(nop) ENV NCCL_VERSION=2.18.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.18.3-1+cuda12.3 NV_LIBNCCL_DEV_PACKAGE_VERSION=2.18.3-1 NV_LIBNCCL_PACKAGE=libnccl2=2.18.3-1+cuda12.3 NV_LIBNCCL_PACKAGE_VERSION=2.18.3-1
# 2024-05-11 20:19:32 221.47MB
|1 PREBUILT_VERSION=e45bfeb.cu123.manual25434.20240509 /bin/sh -c apt-mark unhold libnccl2 libnccl-dev && apt-get remove -y libnccl2 libnccl-dev && curl -fsSL http://artifact-kuaishou.internal/api/repo/artifact/kuaishou/get/kuaishou/kaimm/training/prebuilt/${PREBUILT_VERSION}/nccl_2.18.3-1+cuda12.3_x86_64.txz -o- | tar xJv -C /tmp/ && cp -av /tmp/nccl_*/lib/libnccl* /usr/lib/x86_64-linux-gnu/ && cp -av /tmp/nccl_*/lib/pkgconfig/nccl.pc /usr/lib/x86_64-linux-gnu/pkgconfig/ && cp -av /tmp/nccl_*/include/* /usr/include && rm -r /tmp/nccl_*/
# 2024-05-11 20:19:25 0.00B
/bin/sh -c #(nop) ARG PREBUILT_VERSION=e45bfeb.cu123.manual25434.20240509
# 2024-05-09 16:45:22 3.74KB
/bin/sh -c ssh-keygen -t rsa -N '' -f ~/.ssh/id_rsa && cp ~/.ssh/id_rsa.pub ~/.ssh/authorized_keys
# 2024-05-09 16:29:08 0.00B
/bin/sh -c #(nop) ENV http_proxy= https_proxy= no_proxy=
# 2024-05-09 16:29:08 201.46MB
/bin/sh -c python3 -m pip install --no-cache-dir ninja packaging pep8 py-spy pycodestyle tensorboard torch-tb-profiler tqdm
# 2024-05-09 16:28:37 21.09MB
/bin/sh -c curl -fsSL -o- https://bootstrap.pypa.io/get-pip.py | python3
# 2024-05-09 16:28:28 1.60KB
/bin/sh -c cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
# 2024-05-09 16:28:27 0.00B
/bin/sh -c mkdir -p /var/run/sshd
# 2024-05-09 16:28:26 122.68MB
/bin/sh -c curl -sSL https://github.com/Kitware/CMake/releases/download/v3.21.4/cmake-3.21.4-linux-x86_64.tar.gz -o- | tar xz -C /opt/ && update-alternatives --install /usr/local/bin/cmake cmake /opt/cmake-3.21.4-linux-x86_64/bin/cmake 1
# 2024-05-09 16:28:15 2.38GB
/bin/sh -c curl -fsSL https://halo.corp.kuaishou.com/api/cloud-storage/v1/public-objects/xucheng_data/libcudnn8_8.9.7.29-1+cuda12.2_amd64.deb -o ~/libcudnn8_8.9.7.29-1+cuda12.2_amd64.deb && curl -fsSL https://halo.corp.kuaishou.com/api/cloud-storage/v1/public-objects/xucheng_data/libcudnn8-dev_8.9.7.29-1+cuda12.2_amd64.deb -o ~/libcudnn8-dev_8.9.7.29-1+cuda12.2_amd64.deb && apt-get install -y ~/libcudnn8_8.9.7.29-1+cuda12.2_amd64.deb ~/libcudnn8-dev_8.9.7.29-1+cuda12.2_amd64.deb && rm ~/libcudnn8_8.9.7.29-1+cuda12.2_amd64.deb ~/libcudnn8-dev_8.9.7.29-1+cuda12.2_amd64.deb
# 2024-05-09 16:26:42 7.38MB
/bin/sh -c grep -E ^en_US.UTF-8 /etc/locale.gen >/dev/null || echo "en_US.UTF-8 UTF-8" >> /etc/locale.gen && grep -E ^zh_CN.GBK /etc/locale.gen >/dev/null || echo "zh_CN.GBK GBK" >> /etc/locale.gen && grep -E ^zh_CN.UTF-8 /etc/locale.gen >/dev/null || echo "zh_CN.UTF-8 UTF-8" >> /etc/locale.gen && locale-gen
# 2024-05-09 16:26:36 377.03MB
/bin/sh -c apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends build-essential cmake libnuma-dev curl wget git git-lfs vim tmux zip lrzsz less ethtool iproute2 iputils-ping locales lsof net-tools psmisc sysstat telnet ca-certificates libjpeg-dev libpng-dev python3 python3-dev python3-distutils python-is-python3 openmpi-bin libopenmpi-dev openssh-client openssh-server && apt-get clean && rm -rf /var/lib/apt/lists/*
# 2024-05-09 16:24:40 0.00B
/bin/sh -c #(nop) ENV http_proxy=http://oversea-squid2.ko.txyun:11080 https_proxy=http://oversea-squid2.ko.txyun:11080 no_proxy=localhost,127.0.0.1,localaddress,localdomain.com,internal,corp.kuaishou.com,test.gifshow.com,staging.kuaishou.com
# 2023-11-09 10:33:39 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-09 10:33:39 381.27KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-09 10:33:38 4.80GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-3=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-3=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-3=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-3=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-3=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-3=${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
# 2023-11-09 10:33:38 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-09 10:33:38 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.3
# 2023-11-09 10:33:38 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-3=12.3.52-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.3.52-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-3=12.3.0-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.3.0-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-3=12.3.2.9-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-3
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.3.2.9-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-3=12.2.2.32-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.2.32-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.3.153-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.3.52-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.3.52-1
# 2023-11-09 10:33:38 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.0-1
# 2023-11-09 10:24:18 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-09 10:24:18 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-09 10:24:18 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-09 10:24:18 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-09 10:24:18 260.09KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-09 10:24:18 1.96GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-3=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-3=${NV_NVTX_VERSION} libcusparse-12-3=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-09 10:24:18 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-09 10:24:18 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.19.3-1+cuda12.3
# 2023-11-09 10:24:18 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.19.3-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-3=12.3.2.9-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.3.2.9-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-3
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.3.153-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-3=12.2.2.32-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.2.32-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.3.52-1
# 2023-11-09 10:24:18 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.3.0-1
# 2023-11-09 10:19:50 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-09 10:19:50 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-09 10:19:50 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-09 10:19:50 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-09 10:19:50 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
# 2023-11-09 10:19:50 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
# 2023-11-09 10:19:50 154.89MB 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-12-3=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-09 10:19:41 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.3.0
# 2023-11-09 10:19:41 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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
# 2023-11-09 10:19:41 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-09 10:19:41 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-09 10:19:41 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-3
# 2023-11-09 10:19:41 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.3.52-1
# 2023-11-09 10:19:41 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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.3 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 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
# 2023-11-09 10:19:41 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
{
"Id": "sha256:69ad9e91805244c64556666145d2e70c613ef707ddfd241fc78c23524e0eb1ae",
"RepoTags": [
"yuantailing/megatron-kwai:atc24ae-1.0.0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/yuantailing/megatron-kwai:atc24ae-1.0.0"
],
"RepoDigests": [
"yuantailing/megatron-kwai@sha256:4d1e0d2ae9af44e6c51e7454c70a25d756646a772850b90d3d8c2703ce67866c",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/yuantailing/megatron-kwai@sha256:a7b3a43fad0d399ded0ffb0600480c18733ba53751277d021fc695f71d67582e"
],
"Parent": "",
"Comment": "",
"Created": "2024-05-11T12:20:43.499396864Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "19.03.1301",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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