docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12 linux/amd64

docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12 - 国内下载镜像源 浏览次数:29

镜像描述:

lmdeploy

LM Deploy

LM Deploy 是 OpenMMLab 开发的用于模型部署和在线服务构建的工具。它提供了一个简洁易用的界面,帮助用户快速搭建和部署机器学习模型,包括图像分类、检测、分割等任务。在这个镜像中,你可以找到 LM Deploy 的相关组件和配置,以便你在自己的环境中使用和扩展它。

源镜像 docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12
镜像ID sha256:c609d08df93290dd4c7cd1bc77bfa56d0263d96c8f2cb7f24bcef1908b3b7398
镜像TAG v0.6.3.post1-cu12
大小 16.08GB
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 /opt/lmdeploy
OS/平台 linux/amd64
浏览量 29 次
贡献者
镜像创建 2024-11-26T09:30:55.940036652Z
同步时间 2024-11-30 00:20
更新时间 2024-12-11 20:22
环境变量
PATH=/opt/lmdeploy/install/bin:/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin NVARCH=x86_64 NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 NV_CUDA_CUDART_VERSION=12.4.127-1 NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4 CUDA_VERSION=12.4.1 LD_LIBRARY_PATH=/opt/lmdeploy/install/lib:/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility NV_CUDA_LIB_VERSION=12.4.1-1 NV_NVTX_VERSION=12.4.127-1 NV_LIBNPP_VERSION=12.2.5.30-1 NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1 NV_LIBCUSPARSE_VERSION=12.3.1.170-1 NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4 NV_LIBCUBLAS_VERSION=12.4.5.8-1 NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1 NV_LIBNCCL_PACKAGE_NAME=libnccl2 NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1 NCCL_VERSION=2.21.5-1 NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4 NVIDIA_PRODUCT_NAME=CUDA NV_CUDA_CUDART_DEV_VERSION=12.4.127-1 NV_NVML_DEV_VERSION=12.4.127-1 NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1 NV_LIBNPP_DEV_VERSION=12.2.5.30-1 NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1 NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1 NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4 NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1 NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1 NV_NVPROF_VERSION=12.4.127-1 NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1 NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1 NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4 LIBRARY_PATH=/usr/local/cuda/lib64/stubs CUDA_VERSION_SHORT=cu121 NCCL_LAUNCH_MODE=GROUP TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
镜像标签
NVIDIA CORPORATION <cudatools@nvidia.com>: maintainer ubuntu: org.opencontainers.image.ref.name 22.04: org.opencontainers.image.version
镜像安全扫描 查看Trivy扫描报告

系统OS: ubuntu 22.04 扫描引擎: Trivy 扫描时间: 2024-11-30 00:25

低危漏洞:192 中危漏洞:1586 高危漏洞:29 严重漏洞:0

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/openmmlab/lmdeploy:v0.6.3.post1-cu12
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12  docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12  docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12

Shell快速替换命令

sed -i 's#openmmlab/lmdeploy:v0.6.3.post1-cu12#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12#' 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/openmmlab/lmdeploy:v0.6.3.post1-cu12 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12  docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12  docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12'

镜像历史

大小 创建时间 层信息
0.00B 2024-11-26 17:30:55 ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
0.00B 2024-11-26 17:30:55 ENV PATH=/opt/lmdeploy/install/bin:/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin
0.00B 2024-11-26 17:30:55 ENV LD_LIBRARY_PATH=/opt/lmdeploy/install/lib:/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
0.00B 2024-11-26 17:30:55 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c if [ "$CUDA_VERSION_SHORT" = "cu118" ]; then python3 -m pip uninstall -y nvidia-nccl-cu11 ; fi # buildkit
2.02GB 2024-11-26 17:30:55 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c cd /opt/lmdeploy && python3 -m pip install -r requirements.txt && mkdir -p build && cd build && sh ../generate.sh && ninja -j$(nproc) && ninja install && cd .. && python3 -m pip install -e . && rm -rf build # buildkit
0.00B 2024-11-26 17:18:20 WORKDIR /opt/lmdeploy
7.84MB 2024-11-26 17:18:20 COPY . /opt/lmdeploy # buildkit
0.00B 2024-11-26 17:18:20 ENV NCCL_LAUNCH_MODE=GROUP
5.27GB 2024-11-26 17:18:20 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c python3 -m pip install --upgrade pip setuptools==69.5.1 && python3 -m pip install torch==${TORCH_VERSION} torchvision==${TORCHVISION_VERSION} --index-url https://download.pytorch.org/whl/${CUDA_VERSION_SHORT} && python3 -m pip install cmake packaging wheel # buildkit
0.00B 2024-11-26 17:17:00 ENV LD_LIBRARY_PATH=/usr/local/nccl/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
0.00B 2024-11-26 17:17:00 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c if [ "$CUDA_VERSION_SHORT" = "cu118" ]; then git clone --depth=1 --branch v2.22.3-1 https://github.com/NVIDIA/nccl.git && cd nccl && make -j$(nproc) src.build && mv build/include/* /usr/local/include && mkdir -p /usr/local/nccl/lib && mv build/lib/lib* /usr/local/nccl/lib/ && cd .. && rm -rf nccl ; fi # buildkit
0.00B 2024-11-26 17:16:59 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/openmpi/lib
0.00B 2024-11-26 17:16:59 ENV PATH=/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/openmpi/bin
12.72MB 2024-11-26 17:16:59 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c wget https://download.open-mpi.org/release/open-mpi/v4.1/openmpi-4.1.5.tar.gz && tar xf openmpi-4.1.5.tar.gz && cd openmpi-4.1.5 && ./configure --prefix=/usr/local/openmpi && make -j$(nproc) && make install && cd .. && rm -rf openmpi-4.1.5* # buildkit
0.00B 2024-11-26 17:11:53 ENV PATH=/opt/py3/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
1.50GB 2024-11-26 17:11:53 RUN |3 PYTHON_VERSION=3.10 TORCH_VERSION=2.3.0 TORCHVISION_VERSION=0.18.0 /bin/sh -c apt-get update -y && apt-get install -y software-properties-common wget vim git curl && curl https://sh.rustup.rs -sSf | sh -s -- -y && add-apt-repository ppa:deadsnakes/ppa -y && apt-get update -y && apt-get install -y --no-install-recommends ninja-build rapidjson-dev libgoogle-glog-dev gdb python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv && apt-get clean -y && rm -rf /var/lib/apt/lists/* && cd /opt && python3 -m venv py3 # buildkit
0.00B 2024-11-26 17:11:53 ARG TORCHVISION_VERSION=0.18.0
0.00B 2024-11-26 17:11:53 ARG TORCH_VERSION=2.3.0
0.00B 2024-11-26 17:11:53 ARG PYTHON_VERSION=3.10
0.00B 2024-11-26 17:11:53 ENV CUDA_VERSION_SHORT=cu121
0.00B 2024-04-23 07:54:42 ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
389.87KB 2024-04-23 07:54:42 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
4.98GB 2024-04-23 07:54:41 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-4=${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
0.00B 2024-04-23 07:54:41 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2024-04-23 07:54:41 ARG TARGETARCH
0.00B 2024-04-23 07:54:41 ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
0.00B 2024-04-23 07:54:41 ENV NCCL_VERSION=2.21.5-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
0.00B 2024-04-23 07:54:41 ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
0.00B 2024-04-23 07:54:41 ENV NV_NVPROF_VERSION=12.4.127-1
0.00B 2024-04-23 07:54:41 ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
0.00B 2024-04-23 07:54:41 ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
0.00B 2024-04-23 07:54:41 ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
0.00B 2024-04-23 07:54:41 ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
0.00B 2024-04-23 07:54:41 ENV NV_NVML_DEV_VERSION=12.4.127-1
0.00B 2024-04-23 07:54:41 ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
0.00B 2024-04-23 07:54:41 ENV NV_CUDA_LIB_VERSION=12.4.1-1
0.00B 2024-04-23 07:46:26 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
0.00B 2024-04-23 07:46:26 ENV NVIDIA_PRODUCT_NAME=CUDA
2.53KB 2024-04-23 07:46:26 COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
3.06KB 2024-04-23 07:46:26 COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
263.02KB 2024-04-23 07:46:26 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
2.05GB 2024-04-23 07:46:26 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-4=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-4=${NV_NVTX_VERSION} libcusparse-12-4=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-04-23 07:46:26 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2024-04-23 07:46:26 ARG TARGETARCH
0.00B 2024-04-23 07:46:26 ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
0.00B 2024-04-23 07:46:26 ENV NCCL_VERSION=2.21.5-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
0.00B 2024-04-23 07:46:26 ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
0.00B 2024-04-23 07:46:26 ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
0.00B 2024-04-23 07:46:26 ENV NV_LIBNPP_VERSION=12.2.5.30-1
0.00B 2024-04-23 07:46:26 ENV NV_NVTX_VERSION=12.4.127-1
0.00B 2024-04-23 07:46:26 ENV NV_CUDA_LIB_VERSION=12.4.1-1
0.00B 2024-04-23 07:42:28 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
0.00B 2024-04-23 07:42:28 ENV NVIDIA_VISIBLE_DEVICES=all
17.29KB 2024-04-23 07:42:28 COPY NGC-DL-CONTAINER-LICENSE / # buildkit
0.00B 2024-04-23 07:42:28 ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
0.00B 2024-04-23 07:42:28 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
46.00B 2024-04-23 07:42:28 RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
155.93MB 2024-04-23 07:42:28 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-4=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-04-23 07:42:16 ENV CUDA_VERSION=12.4.1
10.57MB 2024-04-23 07:42:16 RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
0.00B 2024-04-23 07:42:16 LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
0.00B 2024-04-23 07:42:16 ARG TARGETARCH
0.00B 2024-04-23 07:42:16 ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
0.00B 2024-04-23 07:42:16 ENV NV_CUDA_CUDART_VERSION=12.4.127-1
0.00B 2024-04-23 07:42:16 ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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
0.00B 2024-04-23 07:42:16 ENV NVARCH=x86_64
0.00B 2024-04-11 02:52:04 /bin/sh -c #(nop) CMD ["/bin/bash"]
77.86MB 2024-04-11 02:52:04 /bin/sh -c #(nop) ADD file:3bd10da0673e2e72cb06a1f64a9df49a36341df39b0f762e3d1b38ee4de296fa in /
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
0.00B 2024-04-11 02:52:02 /bin/sh -c #(nop) ARG RELEASE

镜像信息

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更多版本

docker.io/openmmlab/lmdeploy:v0.6.1-cu11

linux/amd64 docker.io16.62GB2024-09-30 11:49
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docker.io/openmmlab/lmdeploy:v0.6.3.post1-cu12

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