docker.io/jonathanwx/cosyvoice2-vllm:0.3 linux/amd64

docker.io/jonathanwx/cosyvoice2-vllm:0.3 - 国内下载镜像源浏览次数:13

源镜像	docker.io/jonathanwx/cosyvoice2-vllm:0.3
国内镜像	swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3
镜像ID	sha256:1712f00937c519e664036229f7cc7271a64445d4ec75bd7d978d1fa6e48e8638
镜像TAG	0.3
大小	24.99GB
镜像源	docker.io
项目信息	Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口	/opt/nvidia/nvidia_entrypoint.sh
工作目录	/workspace
OS/平台	linux/amd64
浏览量	13 次
贡献者
镜像创建	2025-09-27T09:04:18.768542654Z
同步时间	2025-09-29 04:35
更新时间	2025-09-29 12:38

环境变量

PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=10.0.1.6 TRTOSS_VERSION=24.05 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 DALI_VERSION=1.37.1 DALI_BUILD=14636516 POLYGRAPHY_VERSION=0.49.10 TRANSFORMER_ENGINE_VERSION=1.6 LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_PRODUCT_NAME=NVIDIA TensorRT GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 LIBRARY_PATH=/usr/local/cuda/lib64/stubs: TENSORRT_VERSION=10.0.1.6 NVIDIA_TENSORRT_VERSION=24.05 TENSORRT_OSS_VERSION=master NVIDIA_BUILD_ID=91390623 LANG=C.UTF-8 LC_ALL=C.UTF-8

镜像标签

91390623: com.nvidia.build.id ace8eb31cb4821deadf5deb762bf3d6788e79d0b: com.nvidia.build.ref 12.4.5.8: com.nvidia.cublas.version 9.0: com.nvidia.cuda.version 9.1.0.70: com.nvidia.cudnn.version 11.2.1.3: com.nvidia.cufft.version 10.3.5.147: com.nvidia.curand.version 11.6.1.9: com.nvidia.cusolver.version 12.3.1.170: com.nvidia.cusparse.version 2.0.1.2: com.nvidia.cutensor.version 2.21.5: com.nvidia.nccl.version 12.2.5.30: com.nvidia.npp.version 2024.1.1.4: com.nvidia.nsightcompute.version 2024.2.1.106: com.nvidia.nsightsystems.version 12.3.1.117: com.nvidia.nvjpeg.version 10.0.1.6: com.nvidia.tensorrt.version 24.05: com.nvidia.tensorrtoss.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version

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无权限下载?点我修复生成Docker Run命令生成Kubernetes YAML资源

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3  docker.io/jonathanwx/cosyvoice2-vllm:0.3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3  docker.io/jonathanwx/cosyvoice2-vllm:0.3

Shell快速替换命令

sed -i 's#jonathanwx/cosyvoice2-vllm:0.3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3#' 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/jonathanwx/cosyvoice2-vllm:0.3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3  docker.io/jonathanwx/cosyvoice2-vllm:0.3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3  docker.io/jonathanwx/cosyvoice2-vllm:0.3'

镜像构建历史


# 2025-09-27 17:04:18  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-09-27 17:04:18  0.00B 执行命令并创建新的镜像层
RUN /bin/bash --login -c rm -rf init.py # buildkit
                        
# 2025-09-27 17:04:18  3.60MB 执行命令并创建新的镜像层
RUN /bin/bash --login -c python init.py # buildkit
                        
# 2025-09-27 17:03:47  135.00B 复制文件或目录到容器中
ADD ./init.py ./ # buildkit
                        
# 2025-09-27 17:03:47  0.00B 执行命令并创建新的镜像层
RUN /bin/bash --login -c rm -rf ./requirements-vllm.txt # buildkit
                        
# 2025-09-27 17:03:47  0.00B 执行命令并创建新的镜像层
RUN /bin/bash --login -c pip cache purge # buildkit
                        
# 2025-09-27 17:03:46  16.91GB 执行命令并创建新的镜像层
RUN /bin/bash --login -c pip install --no-cache-dir -r requirements-vllm.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com # buildkit
                        
# 2025-09-27 15:34:32  0.00B 执行命令并创建新的镜像层
RUN /bin/bash --login -c pip uninstall tensorrt -y # buildkit
                        
# 2025-09-27 15:34:31  1.35KB 复制文件或目录到容器中
ADD ./requirements-vllm.txt ./ # buildkit
                        
# 2025-09-27 15:34:31  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-09-27 15:34:31  507.92MB 执行命令并创建新的镜像层
RUN /bin/bash --login -c apt-get install -y ffmpeg sox libsox-dev && apt-get clean # buildkit
                        
# 2025-09-27 15:33:55  68.66MB 执行命令并创建新的镜像层
RUN /bin/bash --login -c apt-get update -y --fix-missing # buildkit
                        
# 2025-09-27 15:33:51  2.60KB 执行命令并创建新的镜像层
RUN /bin/bash --login -c sed -i 's@//.*security.ubuntu.com@//mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list # buildkit
                        
# 2025-09-27 15:33:51  2.54KB 执行命令并创建新的镜像层
RUN /bin/bash --login -c sed -i 's@//.*archive.ubuntu.com@//mirrors.tuna.tsinghua.edu.cn@g' /etc/apt/sources.list # buildkit
                        
# 2025-09-27 15:33:51  0.00B 
SHELL [/bin/bash --login -c]
                        
# 2025-09-27 15:33:51  0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
                        
# 2024-05-02 09:33:56  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=ace8eb31cb4821deadf5deb762bf3d6788e79d0b
                        
# 2024-05-02 09:33:56  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF
                        
# 2024-05-02 09:33:56  0.00B 添加元数据标签
LABEL com.nvidia.build.id=91390623
                        
# 2024-05-02 09:33:56  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=91390623
                        
# 2024-05-02 09:33:56  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID
                        
# 2024-05-02 09:33:56  633.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-05-02 09:33:56  41.16KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib  && echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf  && ldconfig  && rm -f ${_CUDA_COMPAT_PATH}/lib # buildkit
                        
# 2024-05-02 09:33:55  2.94KB 复制新文件或目录到容器中
COPY README.md README.md # buildkit
                        
# 2024-05-02 09:33:55  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-05-02 09:33:55  54.02KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-05-02 09:33:55  2.61MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c mkdir -p /workspace/tensorrt &&     cp -r /opt/tensorrt/bin     /workspace/tensorrt &&     cp -r /opt/tensorrt/samples /workspace/tensorrt &&     ln -s /opt/tensorrt/data    /workspace/tensorrt &&     chmod -R a+w /workspace/tensorrt/bin &&     chmod -R a+w /workspace/tensorrt/samples # buildkit
                        
# 2024-05-02 09:33:54  4.89KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd /opt/tensorrt/samples/python/introductory_parser_samples  && sed -i 's/Image\.ANTIALIAS/Image.LANCZOS/g' onnx_resnet50.py # buildkit
                        
# 2024-05-02 09:33:54  25.05KB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd /opt/tensorrt/samples  && patch -p2 < /tmp/trt8.5-samples-cuda12.patch  && rm /tmp/trt8.5-samples-cuda12.patch # buildkit
                        
# 2024-05-02 09:33:54  548.00B 复制新文件或目录到容器中
COPY trt8.5-samples-cuda12.patch /tmp/ # buildkit
                        
# 2024-05-02 09:33:53  0.00B 设置环境变量 PATH
ENV PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2024-05-02 09:33:53  2.62KB 复制新文件或目录到容器中
COPY install_opensource.sh /opt/tensorrt/ # buildkit
                        
# 2024-05-02 09:33:53  449.00B 复制新文件或目录到容器中
COPY python_setup.sh /opt/tensorrt/python/python_setup.sh # buildkit
                        
# 2024-05-02 09:33:53  2.04MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c pip install --no-cache-dir   --extra-index-url https://pypi.ngc.nvidia.com   --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple   polygraphy # buildkit
                        
# 2024-05-02 09:33:51  213.43MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c URL=$(VERIFY=1 BASE=0 DEVEL=0 SAMPLES=0 PYTHON=0 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar  && FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | egrep -v "internal|safety")  && wget --quiet $URL/$FILE -O - | tar -xz  && PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))')  && pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl  && mv /usr/src/tensorrt /opt/  && mv TensorRT-*/samples /opt/tensorrt/  && mv TensorRT-*/data /opt/tensorrt/  && ln -s /opt/tensorrt /usr/src/tensorrt  && rm -r TensorRT-* # buildkit
                        
# 2024-05-02 09:32:08  0.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c rm -f /etc/dpkg/dpkg.cfg.d/excludes # buildkit
                        
# 2024-05-02 09:32:07  104.73MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c pip install --upgrade --no-cache-dir 'numpy<1.24'  && pip install --upgrade --no-cache-dir         pycuda         pillow # buildkit
                        
# 2024-05-02 09:29:44  14.31MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2024-05-02 09:29:39  19.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c MAJ=`echo "$PYVER" | cut -c1-1` &&     rm -f /usr/bin/python$MAJ && ln -s /usr/bin/python$PYVER /usr/bin/python$MAJ # buildkit
                        
# 2024-05-02 09:29:38  19.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c rm -f /usr/bin/python && ln -s /usr/bin/python$PYVER /usr/bin/python # buildkit
                        
# 2024-05-02 09:29:38  14.27MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c cd ${HOME} &&     git clone -b v2.2.3 https://github.com/pybind/pybind11.git # buildkit
                        
# 2024-05-02 09:29:36  52.89MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c CMAKE_VERSION=3.24 CMAKE_PATCH=0 CMAKE_DIR=cmake-${CMAKE_VERSION}.${CMAKE_PATCH} &&     cd /usr/local/src &&     wget https://cmake.org/files/v${CMAKE_VERSION}/${CMAKE_DIR}.tar.gz &&     tar -xvf ${CMAKE_DIR}.tar.gz &&     cd ${CMAKE_DIR} &&     ./bootstrap --parallel=$(nproc) &&     make -j$(nproc) install &&     cd .. &&     rm -rf ${CMAKE_DIR}* # buildkit
                        
# 2024-05-02 09:27:30  70.08MB 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c PYSFX=`[ "$PYVER" != "2.7" ] && echo "$PYVER" | cut -c1-1 || echo ""` &&     apt-get update &&     DEBIAN_FRONTEND="noninteractive" apt-get install -y --no-install-recommends tzdata &&     apt-get install -y --no-install-recommends         python$PYSFX         python$PYVER-dev         $DISTUTILS         python$PYSFX-pip         libssl-dev         unzip &&     rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-05-02 09:33:55  0.00B 执行命令并创建新的镜像层
RUN |3 NVIDIA_TENSORRT_VERSION=24.05 TRTOSS_VERSION=master PYVER=3.10 /bin/sh -c if [ "$PYVER" == "3.8" ]; then DISTUTILS="python3-distutils"; fi # buildkit
                        
# 2024-05-02 09:33:55  0.00B 定义构建参数
ARG PYVER=2.7
                        
# 2024-05-02 09:33:55  0.00B 设置环境变量 TENSORRT_OSS_VERSION
ENV TENSORRT_OSS_VERSION=master
                        
# 2024-05-02 09:33:55  0.00B 定义构建参数
ARG TRTOSS_VERSION=master
                        
# 2024-05-02 09:33:55  0.00B 设置环境变量 NVIDIA_TENSORRT_VERSION
ENV NVIDIA_TENSORRT_VERSION=24.05
                        
# 2024-05-02 09:33:55  0.00B 定义构建参数
ARG NVIDIA_TENSORRT_VERSION
                        
# 2024-05-02 09:33:55  0.00B 添加元数据标签
LABEL com.nvidia.tensorrt.version=10.0.1.6
                        
# 2024-05-02 09:33:55  0.00B 设置环境变量 TENSORRT_VERSION
ENV TENSORRT_VERSION=10.0.1.6
                        
# 2024-05-02 09:33:55  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=NVIDIA TensorRT
                        
# 2024-05-01 23:58:19  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-05-01 23:58:19  949.71MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installNCCL.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installCUTENSOR.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2024-05-01 23:54:01  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-05-01 23:54:01  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-05-01 23:54:01  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
                        
# 2024-05-01 23:54:01  229.15MB 执行命令并创建新的镜像层
RUN |7 GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ldconfig # buildkit
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2024-05-01 23:54:01  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION
ENV GDRCOPY_VERSION=2.3.1-1 HPCX_VERSION=2.19 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.17.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG OPENMPI_VERSION
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG OPENUCX_VERSION
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG RDMACORE_VERSION
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG HPCX_VERSION
                        
# 2024-05-01 23:54:01  0.00B 定义构建参数
ARG GDRCOPY_VERSION
                        
# 2024-05-01 23:53:52  84.88MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2024-05-01 23:53:35  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-05-01 23:53:35  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-05-01 23:53:35  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-05-01 23:53:35  14.85KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-05-01 23:53:35  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2024-05-01 23:53:35  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX
                        
# 2024-05-01 23:53:35  46.00B 执行命令并创建新的镜像层
RUN |21 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=10.0.1.6 TRTOSS_VERSION=24.05 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 DALI_VERSION=1.37.1 DALI_BUILD=14636516 POLYGRAPHY_VERSION=0.49.10 TRANSFORMER_ENGINE_VERSION=1.6 /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
                        
# 2024-04-30 23:19:23  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-04-30 23:19:23  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION
ENV DALI_VERSION=1.37.1 DALI_BUILD=14636516 POLYGRAPHY_VERSION=0.49.10 TRANSFORMER_ENGINE_VERSION=1.6
                        
# 2024-04-30 23:19:23  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION
                        
# 2024-04-30 23:19:23  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION
                        
# 2024-04-30 23:19:23  0.00B 定义构建参数
ARG DALI_BUILD
                        
# 2024-04-30 23:19:23  0.00B 定义构建参数
ARG DALI_VERSION
                        
# 2024-04-30 23:19:23  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.21.5 com.nvidia.cublas.version=12.4.5.8 com.nvidia.cufft.version=11.2.1.3 com.nvidia.curand.version=10.3.5.147 com.nvidia.cusparse.version=12.3.1.170 com.nvidia.cusolver.version=11.6.1.9 com.nvidia.cutensor.version=2.0.1.2 com.nvidia.npp.version=12.2.5.30 com.nvidia.nvjpeg.version=12.3.1.117 com.nvidia.cudnn.version=9.1.0.70 com.nvidia.tensorrt.version=10.0.1.6 com.nvidia.tensorrtoss.version=24.05 com.nvidia.nsightsystems.version=2024.2.1.106 com.nvidia.nsightcompute.version=2024.1.1.4
                        
# 2024-04-30 23:19:23  4.89GB 执行命令并创建新的镜像层
RUN |17 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=10.0.1.6 TRTOSS_VERSION=24.05 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4 /bin/sh -c /nvidia/build-scripts/installNCCL.sh  && /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUTENSOR.sh # buildkit
                        
# 2024-04-30 23:16:35  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.21.5 CUBLAS_VERSION=12.4.5.8 CUFFT_VERSION=11.2.1.3 CURAND_VERSION=10.3.5.147 CUSPARSE_VERSION=12.3.1.170 CUSOLVER_VERSION=11.6.1.9 CUTENSOR_VERSION=2.0.1.2 NPP_VERSION=12.2.5.30 NVJPEG_VERSION=12.3.1.117 CUDNN_VERSION=9.1.0.70 TRT_VERSION=10.0.1.6 TRTOSS_VERSION=24.05 NSIGHT_SYSTEMS_VERSION=2024.2.1.106 NSIGHT_COMPUTE_VERSION=2024.1.1.4
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG TRTOSS_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG TRT_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUDNN_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG NVJPEG_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG NPP_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUTENSOR_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUSOLVER_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUSPARSE_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CURAND_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUFFT_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG CUBLAS_VERSION
                        
# 2024-04-30 23:16:35  0.00B 定义构建参数
ARG NCCL_VERSION
                        
# 2024-04-30 23:16:35  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-04-30 23:16:35  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2024-04-30 23:16:35  58.91KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-04-30 23:16:35  462.85MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-04-26 23:10:57  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2024-04-26 23:10:57  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.4.1.003 CUDA_DRIVER_VERSION=550.54.15 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-04-26 23:10:57  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS
                        
# 2024-04-26 23:10:57  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION
                        
# 2024-04-26 23:10:57  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2024-04-30 23:16:21  333.97MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses5         libncursesw5         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4 # buildkit
                        
# 2024-04-18 01:56:35  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-04-18 01:56:35  77.86MB 
/bin/sh -c #(nop) ADD file:aa631666e3d7f8925e1308c15b2b63b5649db2cfcb079cba8218af98a5966923 in / 
                        
# 2024-04-18 01:56:33  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2024-04-18 01:56:33  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-04-18 01:56:33  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-04-18 01:56:33  0.00B 
/bin/sh -c #(nop)  ARG RELEASE

镜像信息

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    "RepoTags": [
        "jonathanwx/cosyvoice2-vllm:0.3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm:0.3"
    ],
    "RepoDigests": [
        "jonathanwx/cosyvoice2-vllm@sha256:74bc73b7406b4145c7ce8473f94b5f65e472613675e5dbfbda54e093d9fee3d5",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jonathanwx/cosyvoice2-vllm@sha256:74bc73b7406b4145c7ce8473f94b5f65e472613675e5dbfbda54e093d9fee3d5"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-09-27T09:04:18.768542654Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/tensorrt/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin",
            "CUDA_VERSION=12.4.1.003",
            "CUDA_DRIVER_VERSION=550.54.15",
            "CUDA_CACHE_DISABLE=1",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.21.5",
            "CUBLAS_VERSION=12.4.5.8",
            "CUFFT_VERSION=11.2.1.3",
            "CURAND_VERSION=10.3.5.147",
            "CUSPARSE_VERSION=12.3.1.170",
            "CUSOLVER_VERSION=11.6.1.9",
            "CUTENSOR_VERSION=2.0.1.2",
            "NPP_VERSION=12.2.5.30",
            "NVJPEG_VERSION=12.3.1.117",
            "CUDNN_VERSION=9.1.0.70",
            "TRT_VERSION=10.0.1.6",
            "TRTOSS_VERSION=24.05",
            "NSIGHT_SYSTEMS_VERSION=2024.2.1.106",
            "NSIGHT_COMPUTE_VERSION=2024.1.1.4",
            "DALI_VERSION=1.37.1",
            "DALI_BUILD=14636516",
            "POLYGRAPHY_VERSION=0.49.10",
            "TRANSFORMER_ENGINE_VERSION=1.6",
            "LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=NVIDIA TensorRT",
            "GDRCOPY_VERSION=2.3.1-1",
            "HPCX_VERSION=2.19",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.17.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "TENSORRT_VERSION=10.0.1.6",
            "NVIDIA_TENSORRT_VERSION=24.05",
            "TENSORRT_OSS_VERSION=master",
            "NVIDIA_BUILD_ID=91390623",
            "LANG=C.UTF-8",
            "LC_ALL=C.UTF-8"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.build.id": "91390623",
            "com.nvidia.build.ref": "ace8eb31cb4821deadf5deb762bf3d6788e79d0b",
            "com.nvidia.cublas.version": "12.4.5.8",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.1.0.70",
            "com.nvidia.cufft.version": "11.2.1.3",
            "com.nvidia.curand.version": "10.3.5.147",
            "com.nvidia.cusolver.version": "11.6.1.9",
            "com.nvidia.cusparse.version": "12.3.1.170",
            "com.nvidia.cutensor.version": "2.0.1.2",
            "com.nvidia.nccl.version": "2.21.5",
            "com.nvidia.npp.version": "12.2.5.30",
            "com.nvidia.nsightcompute.version": "2024.1.1.4",
            "com.nvidia.nsightsystems.version": "2024.2.1.106",
            "com.nvidia.nvjpeg.version": "12.3.1.117",
            "com.nvidia.tensorrt.version": "10.0.1.6",
            "com.nvidia.tensorrtoss.version": "24.05",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "--login",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 24991622710,
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    }
}

更多版本

docker.io/jonathanwx/cosyvoice2-vllm:0.3

linux/amd64 docker.io24.99GB2025-09-29 04:35