docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0 linux/amd64

docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0 - 国内下载镜像源 浏览次数:64
```html

这是一个Docker容器镜像,包含了Python、ONNX Runtime以及CUDA支持。这意味着该镜像预装了运行在GPU上的ONNX Runtime所需的所有依赖项,方便用户使用Python进行GPU加速的ONNX模型推理。

```
源镜像 docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0
镜像ID sha256:945c7f7768556133e7c1065f6255c837b3cf74a8fc171f96a767d00615c512a1
镜像TAG 2.0.0
大小 7.17GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD /bin/bash
启动入口
工作目录 /workspace
OS/平台 linux/amd64
浏览量 64 次
贡献者
镜像创建 2023-04-24T19:24:24.991388592Z
同步时间 2025-03-11 00:49
更新时间 2025-04-01 10:14
环境变量
PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/python3.10/site-packages/torch/lib PYTORCH_VERSION=v2.0.0
镜像标签
nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 18.04: org.opencontainers.image.version

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/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0  docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0  docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0

Shell快速替换命令

sed -i 's#anujkosambi/python-onnxruntime-gpu-cuda:2.0.0#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0#' 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/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0  docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0  docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0'

镜像构建历史


# 2023-04-25 03:24:24  727.94MB 执行命令并创建新的镜像层
RUN |2 TARGETPLATFORM=linux/amd64 BUILDPLATFORM=linux/amd64 /bin/sh -c pip install optimum[onnxruntime-gpu]==1.4.1 &&   rm -Rf /root/.cache/pip &&   apt-get clean &&   rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-04-25 03:24:24  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/opt/conda/lib/python3.10/site-packages/torch/lib
                        
# 2023-04-25 03:24:24  0.00B 定义构建参数
ARG BUILDPLATFORM
                        
# 2023-04-25 03:24:24  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2023-03-21 02:14:39  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=v2.0.0
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-03-21 02:14:39  0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2023-03-21 02:14:39  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-03-21 02:14:38  0.00B 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c if test -n "${TRITON_VERSION}" -a "${TARGETPLATFORM}" != "linux/arm64"; then         apt install -y --no-install-recommends gcc;     fi # buildkit
                        
# 2023-03-21 02:14:38  6.30GB 复制新文件或目录到容器中
COPY /opt/conda /opt/conda # buildkit
                        
# 2023-03-21 02:09:34  76.63MB 执行命令并创建新的镜像层
RUN |4 PYTORCH_VERSION=v2.0.0 TRITON_VERSION= TARGETPLATFORM=linux/amd64 CUDA_VERSION=11.7.0 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends         ca-certificates         libjpeg-dev         libpng-dev # buildkit
                        
# 2023-03-21 02:09:34  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG CUDA_VERSION
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG TARGETPLATFORM
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG TRITON_VERSION
                        
# 2023-03-21 02:09:34  0.00B 定义构建参数
ARG PYTORCH_VERSION
                        
# 2023-03-08 11:22:44  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-03-08 11:22:44  63.15MB 
/bin/sh -c #(nop) ADD file:4560926e076acae6b8396a9f1e760eee0f53e22e90ce8554dda57f1103547795 in / 
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=18.04
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-03-08 11:22:42  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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更多版本

docker.io/anujkosambi/python-onnxruntime-gpu-cuda:2.0.0

linux/amd64 docker.io7.17GB2025-03-11 00:49
63