docker.io/glowsai/mimictalk:1.2 linux/amd64

docker.io/glowsai/mimictalk:1.2 - 国内下载镜像源浏览次数:29

源镜像	docker.io/glowsai/mimictalk:1.2
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2
镜像ID	sha256:ef2fcf88362484bb0673ddfb7851eff99883c4700d7e1d59ec299e5a550d26e1
镜像TAG	1.2
大小	30.99GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口	/usr/bin/start_all_services.sh
工作目录	/root
OS/平台	linux/amd64
浏览量	29 次
贡献者
镜像创建	2024-12-05T03:04:48.60688957Z
同步时间	2025-01-22 01:07
更新时间	2025-02-05 01:56

开放端口

22/tcp 5901/tcp 7860/tcp 8888/tcp

环境变量

PATH=/root/miniconda3/envs/workenv/bin:/root/miniconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin DEBIAN_FRONTEND=noninteractive NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.2 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 NV_CUDA_CUDART_VERSION=12.2.140-1 NV_NVML_DEV_VERSION=12.2.140-1 NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1 NV_LIBNPP_DEV_VERSION=12.2.1.4-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1 NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1 NV_NVPROF_VERSION=12.2.142-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1 NCCL_VERSION=2.19.3-1 NV_LIBNCCL2_PACKAGE_NAME=libnccl2 NV_LIBNCCL2_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL2_PACKAGE=libnccl2=2.19.3-1+cuda12.2 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 NV_CUDA_LIB_VERSION=12.2.2-1 CUDA_VERSION=12.2.2 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility JUPYTER_ROOT_PATH=/ PYTHONPATH=./ HF_ENDPOINT=https://hf-mirror.com TORCH_CUDA_ARCH_LIST=8.9 CUB_HOME=/path/to/cub-1.12.0 FORCE_CUDA=1

镜像标签

ubuntu: org.opencontainers.image.ref.name 20.04: org.opencontainers.image.version

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Docker拉取命令无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2  docker.io/glowsai/mimictalk:1.2

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2  docker.io/glowsai/mimictalk:1.2

Shell快速替换命令

sed -i 's#glowsai/mimictalk:1.2#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2#' 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/glowsai/mimictalk:1.2 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2  docker.io/glowsai/mimictalk:1.2'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2  docker.io/glowsai/mimictalk:1.2'

镜像构建历史


# 2024-12-05 11:04:48  0.00B 
/bin/sh -c #(nop)  ENTRYPOINT ["/usr/bin/start_all_services.sh"]
                        
# 2024-12-05 11:04:48  0.00B 
/bin/sh -c #(nop)  EXPOSE 7860
                        
# 2024-12-05 11:04:48  228.00B 
/bin/sh -c chmod +x /usr/bin/start_all_services.sh
                        
# 2024-12-05 11:04:47  228.00B 
/bin/sh -c #(nop) COPY file:1062e01db03a6278a0fb896d389c90fa7a7054a91600efeb0d4b42d9878b8c97 in /usr/bin/ 
                        
# 2024-12-05 11:04:46  829.41MB 
/bin/sh -c #(nop) COPY dir:1940df9608975cbf49a56d041d461b98ca652482057a058cf2c9451113f73a9e in /root/MimicTalk/checkpoints_mimictalk 
                        
# 2024-12-05 11:04:35  1.89GB 
/bin/sh -c #(nop) COPY dir:7817e4770ef84bf1305f966ac1246e74ae09ae705fa993af4bcd1be4067b6e25 in /root/MimicTalk/checkpoints 
                        
# 2024-12-05 11:04:09  420.01MB 
/bin/sh -c #(nop) COPY dir:8d0c924702d6f2b1d137268b0c4ddc6a506f39ae70e80892e5c40e1d4e68335b in /root/MimicTalk/deep_3drecon/BFM 
                        
# 2024-12-05 11:04:02  0.00B 
/bin/sh -c mkdir -p /root/MimicTalk/checkpoints_mimictalk
                        
# 2024-12-05 11:04:01  60.61MB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv pip install -e /root/pytorch3d
                        
# 2024-12-05 11:02:12  102.32MB 
/bin/sh -c git clone https://github.com/facebookresearch/pytorch3d.git
                        
# 2024-12-05 11:02:04  3.52MB 
/bin/sh -c wget https://github.com/NVIDIA/cub/archive/1.12.0.tar.gz &&     tar -xvzf 1.12.0.tar.gz
                        
# 2024-12-05 11:02:02  43.15MB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv mim install mmcv==2.1.0
                        
# 2024-12-05 10:51:15  2.46GB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv pip install -r /root/MimicTalk/docs/prepare_env/requirements.txt -v
                        
# 2024-12-05 10:48:39  161.06MB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv pip install     cython     openmim==0.3.9
                        
# 2024-12-05 10:48:05  105.40MB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv conda install -c iopath iopath
                        
# 2024-12-05 10:47:50  8.08GB 
/bin/sh -c /root/miniconda3/bin/conda run -n workenv pip install     torch==2.4.0     torchvision==0.19.0     torchaudio==2.4.0     --index-url https://download.pytorch.org/whl/cu121
                        
# 2024-12-05 10:43:50  354.92MB 
/bin/sh -c /root/miniconda3/bin/conda create -n workenv python=3.9 -y
                        
# 2024-12-05 10:43:14  1.17MB 
/bin/sh -c cp /root/MimicTalk/data/raw/examples/German_20s.mp4 /root/MimicTalk/data/raw/videos/GER.mp4
                        
# 2024-12-05 10:43:13  1.17MB 
/bin/sh -c cp /root/MimicTalk/data/raw/examples/German_20s.mp4 /root/MimicTalk/data/raw/videos/German_20s.mp4
                        
# 2024-12-05 10:43:12  0.00B 
/bin/sh -c mkdir -p /root/MimicTalk/data/raw/videos
                        
# 2024-12-05 10:43:11  1.13KB 
/bin/sh -c sed -i 's/^# gradio==4.16.0/gradio==4.16.0/' /root/MimicTalk/docs/prepare_env/requirements.txt &&     sed -i 's/^gradio==4.43.0/# gradio==4.43.0/' /root/MimicTalk/docs/prepare_env/requirements.txt
                        
# 2024-12-05 10:43:10  35.18KB 
/bin/sh -c sed -i '/model_dir = torso_model_dir if torso_model_dir != .* else head_model_dir/a\        os.makedirs(self.inp[\"work_dir\"], exist_ok=True)'    /root/MimicTalk/inference/train_mimictalk_on_a_video.py
                        
# 2024-12-05 10:43:09  16.47KB 
/bin/sh -c sed -i 's/10000,/2000,/' /root/MimicTalk/inference/app_mimictalk.py
                        
# 2024-12-05 10:43:08  55.40MB 
/bin/sh -c git clone https://github.com/yerfor/MimicTalk.git &&     cd MimicTalk
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop)  ENV FORCE_CUDA=1
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop)  ENV CUB_HOME=/path/to/cub-1.12.0
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop)  ENV TORCH_CUDA_ARCH_LIST=8.9
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop)  ENV HF_ENDPOINT=https://hf-mirror.com
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop)  ENV PYTHONPATH=./
                        
# 2024-12-05 10:43:03  0.00B 
/bin/sh -c #(nop) WORKDIR /root
                        
# 2024-12-05 10:43:02  109.74MB 
/bin/sh -c apt-get update && apt-get install -y --no-install-recommends     ffmpeg     libportaudio2     libportaudiocpp0     portaudio19-dev     && rm -rf /var/lib/apt/lists/*
                        
# 2024-11-19 14:26:54  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/usr/bin/glows_init.sh"]
                        
# 2024-11-19 14:26:54  1.06KB 执行命令并创建新的镜像层
RUN |1 JUPYTER_ROOT_PATH=/ /bin/sh -c chmod +x /usr/bin/glows_init.sh # buildkit
                        
# 2024-11-19 14:26:53  1.06KB 复制新文件或目录到容器中
COPY glows_init.sh /usr/bin/ # buildkit
                        
# 2024-11-19 14:26:53  0.00B 设置环境变量 PATH
ENV PATH=/root/miniconda3/envs/workenv/bin:/root/miniconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-11-19 14:26:53  0.00B 设置环境变量 JUPYTER_ROOT_PATH
ENV JUPYTER_ROOT_PATH=/
                        
# 2024-11-19 14:26:53  0.00B 定义构建参数
ARG JUPYTER_ROOT_PATH=/
                        
# 2024-11-19 14:26:53  0.00B 声明容器运行时监听的端口
EXPOSE map[5901/tcp:{}]
                        
# 2024-11-19 14:26:53  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2024-11-19 14:26:53  0.00B 声明容器运行时监听的端口
EXPOSE map[22/tcp:{}]
                        
# 2024-11-19 14:26:53  280.43MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get install -y firefox # buildkit
                        
# 2024-11-19 14:26:33  553.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /usr/bin/vnc_startup.sh # buildkit
                        
# 2024-11-19 14:26:32  32.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /root/.config/xfce4 && echo "TerminalEmulator=xfce4-terminal" > /root/.config/xfce4/helpers.rc # buildkit
                        
# 2024-11-19 14:26:32  675.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /root/Desktop /root/.vnc &&     mv /tmp/vnc_startup.sh /usr/bin &&     mv /tmp/xstartup /root/.vnc # buildkit
                        
# 2024-11-19 14:26:31  122.00B 复制新文件或目录到容器中
COPY ./xstartup /tmp/ # buildkit
                        
# 2024-11-19 14:26:31  553.00B 复制新文件或目录到容器中
COPY ./vnc_startup.sh /tmp/ # buildkit
                        
# 2024-11-19 14:26:31  66.36MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y tigervnc-standalone-server # buildkit
                        
# 2024-11-19 14:26:16  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get clean &&     rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* # buildkit
                        
# 2024-11-19 14:26:16  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p ~/.ssh # buildkit
                        
# 2024-11-19 14:26:15  3.27KB 执行命令并创建新的镜像层
RUN /bin/sh -c sed -ri 's/UsePAM yes/#UsePAM yes/g' /etc/ssh/sshd_config # buildkit
                        
# 2024-11-19 14:26:15  3.27KB 执行命令并创建新的镜像层
RUN /bin/sh -c sed -ri 's/^#?PermitRootLogin\s+.*/PermitRootLogin yes/' /etc/ssh/sshd_config # buildkit
                        
# 2024-11-19 14:26:14  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir /var/run/sshd # buildkit
                        
# 2024-11-19 14:26:14  11.95MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y openssh-server # buildkit
                        
# 2024-11-19 14:26:01  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-11-19 14:26:01  5.14GB 执行命令并创建新的镜像层
RUN /bin/sh -c /root/miniconda3/bin/conda run -n workenv pip install -r requirements.txt &&     /root/miniconda3/bin/conda run -n workenv pip cache purge # buildkit
                        
# 2024-11-19 14:23:42  71.00B 复制文件或目录到容器中
ADD ./requirements.txt /requirements.txt # buildkit
                        
# 2024-11-19 14:23:42  1.66GB 执行命令并创建新的镜像层
RUN /bin/sh -c /bin/bash -c "source /root/miniconda3/bin/activate workenv &&     conda config --set show_channel_urls yes --set always_yes yes &&     conda install -c anaconda jupyter &&     conda install -c anaconda jupyterlab &&     conda install -c anaconda jupyter jupyter_core jupyter_client" # buildkit
                        
# 2024-11-19 14:22:43  3.69KB 执行命令并创建新的镜像层
RUN /bin/sh -c echo "source activate workenv" >> /root/.bashrc &&     echo 'export PATH=/usr/local/cuda/bin:$PATH' >> /root/.bashrc &&     echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> /root/.bashrc # buildkit
                        
# 2024-11-19 14:22:42  0.00B 设置环境变量 PATH
ENV PATH=/root/miniconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2024-11-19 14:22:42  434.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c /root/miniconda3/bin/conda create -n workenv python=3.11 conda && /root/miniconda3/bin/conda init bash && /root/miniconda3/bin/conda clean -ya # buildkit
                        
# 2024-11-19 14:22:02  530.95MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -o ~/miniconda3.sh -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh &&     chmod +x ~/miniconda3.sh &&     ~/miniconda3.sh -b &&     rm ~/miniconda3.sh &&     /root/miniconda3/bin/conda clean -ya # buildkit
                        
# 2024-11-19 14:21:44  1.25GB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     vim     curl     git     wget     unzip     tmux     gcc     g++     ca-certificates     bzip2     make     python-dev     fluxbox     xfce4     xfce4-goodies     xfce4-terminal     && apt-get clean # buildkit
                        
# 2024-11-19 14:15:24  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2024-11-19 14:15:24  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2024-11-19 14:15:24  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2024-11-19 14:15:24  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
                        
# 2024-11-19 14:15:24  46.00B 执行命令并创建新的镜像层
RUN /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
                        
# 2024-11-19 14:15:24  379.71KB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL2_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
                        
# 2024-11-19 14:15:24  6.85GB 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     libtinfo5 libncursesw5     cuda-cudart-12-2=${NV_CUDA_CUDART_VERSION}     cuda-command-line-tools-12-2=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-12-2=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-12-2=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-12-2=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-12-2=${NV_LIBCUSPARSE_DEV_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     ${NV_LIBCUBLAS_DEV_PACKAGE}     ${NV_LIBNCCL2_PACKAGE}     ${NV_LIBNCCL_DEV_PACKAGE}     ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.2.2
                        
# 2024-11-19 14:11:01  18.35MB 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     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
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.2.2-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL2_PACKAGE
ENV NV_LIBNCCL2_PACKAGE=libnccl2=2.19.3-1+cuda12.2
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL2_PACKAGE_VERSION
ENV NV_LIBNCCL2_PACKAGE_VERSION=2.19.3-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNCCL2_PACKAGE_NAME
ENV NV_LIBNCCL2_PACKAGE_NAME=libnccl2
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.19.3-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.2.142-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.1.4-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.2.140-1
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.2.140-1
                        
# 2024-11-19 14:11:01  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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.2 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
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
                        
# 2024-11-19 14:11:01  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2024-10-11 11:38:27  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-11 11:38:27  72.81MB 
/bin/sh -c #(nop) ADD file:7486147a645d8835a5181c79f00a3606c6b714c83bcbfcd8862221eb14690f9e in / 
                        
# 2024-10-11 11:38:25  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=20.04
                        
# 2024-10-11 11:38:25  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-11 11:38:25  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-11 11:38:25  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "RepoTags": [
        "glowsai/mimictalk:1.2",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/glowsai/mimictalk:1.2"
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2024-12-05T03:04:48.60688957Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "27.3.1",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "22/tcp": {},
            "5901/tcp": {},
            "7860/tcp": {},
            "8888/tcp": {}
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        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/miniconda3/envs/workenv/bin:/root/miniconda3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "NVARCH=x86_64",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=12.2 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
            "NV_CUDA_CUDART_VERSION=12.2.140-1",
            "NV_NVML_DEV_VERSION=12.2.140-1",
            "NV_LIBCUSPARSE_DEV_VERSION=12.1.2.141-1",
            "NV_LIBNPP_DEV_VERSION=12.2.1.4-1",
            "NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-2=12.2.1.4-1",
            "NV_LIBCUBLAS_DEV_VERSION=12.2.5.6-1",
            "NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-2",
            "NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-2=12.2.5.6-1",
            "NV_CUDA_NSIGHT_COMPUTE_VERSION=12.2.2-1",
            "NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-2=12.2.2-1",
            "NV_NVPROF_VERSION=12.2.142-1",
            "NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-2=12.2.142-1",
            "NCCL_VERSION=2.19.3-1",
            "NV_LIBNCCL2_PACKAGE_NAME=libnccl2",
            "NV_LIBNCCL2_PACKAGE_VERSION=2.19.3-1",
            "NV_LIBNCCL2_PACKAGE=libnccl2=2.19.3-1+cuda12.2",
            "NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
            "NV_LIBNCCL_DEV_PACKAGE_VERSION=2.19.3-1",
            "NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.19.3-1+cuda12.2",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2",
            "NV_CUDA_LIB_VERSION=12.2.2-1",
            "CUDA_VERSION=12.2.2",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility",
            "JUPYTER_ROOT_PATH=/",
            "PYTHONPATH=./",
            "HF_ENDPOINT=https://hf-mirror.com",
            "TORCH_CUDA_ARCH_LIST=8.9",
            "CUB_HOME=/path/to/cub-1.12.0",
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        "Image": "sha256:76adfa97084fc02b23e68d2a581ca25bfe7fc4368332bb93823e733151ec7ebf",
        "Volumes": null,
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        "Entrypoint": [
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        "OnBuild": null,
        "Labels": {
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    "Architecture": "amd64",
    "Os": "linux",
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    },
    "Metadata": {
        "LastTagTime": "2025-01-22T00:26:59.325000885+08:00"
    }
}

更多版本

docker.io/glowsai/mimictalk:1.2

linux/amd64 docker.io30.99GB2025-01-22 01:07