Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest  docker.io/neosun/deepseek-ocr:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest  docker.io/neosun/deepseek-ocr:latest

Shell快速替换命令

sed -i 's#neosun/deepseek-ocr:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest#' 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/neosun/deepseek-ocr:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest  docker.io/neosun/deepseek-ocr:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest  docker.io/neosun/deepseek-ocr:latest'

镜像构建历史

# 2025-12-16 11:36:26  6.68GB 
python web_service_gpu.py 8001
                        
# 2025-12-07 22:47:09  123.69KB 
python web_service_gpu.py 8001
                        
# 2025-12-07 22:17:48  0.00B 设置默认要执行的命令
CMD ["python" "web_service_gpu.py" "8001"]
                        
# 2025-12-07 22:17:48  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl -f http://localhost:8001/health || exit 1"] "30s" "10s" "5m0s" "0s" '\x03'}
                        
# 2025-12-07 22:17:48  0.00B 声明容器运行时监听的端口
EXPOSE [8001/tcp]
                        
# 2025-12-07 22:17:48  16.11KB 复制新文件或目录到容器中
COPY i18n.js . # buildkit
                        
# 2025-12-07 22:17:48  9.86KB 复制新文件或目录到容器中
COPY backends ./backends # buildkit
                        
# 2025-12-07 22:17:48  156.06KB 复制新文件或目录到容器中
COPY ocr_ui_modern.html . # buildkit
                        
# 2025-12-07 22:17:48  5.42KB 复制新文件或目录到容器中
COPY gpu_manager.py . # buildkit
                        
# 2025-12-07 22:17:48  14.73KB 复制新文件或目录到容器中
COPY web_service_gpu.py . # buildkit
                        
# 2025-12-07 21:34:41  21.89KB 复制新文件或目录到容器中
COPY web_service.py . # buildkit
                        
# 2025-12-07 21:34:41  23.47MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install     fastapi==0.119.1     uvicorn[standard]==0.38.0     python-multipart==0.0.20     python-decouple==3.8 # buildkit
                        
# 2025-12-07 21:34:39  260.73MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --upgrade pip &&     pip install -r requirements.txt # buildkit
                        
# 2025-12-07 21:34:21  113.54KB 复制新文件或目录到容器中
COPY DeepSeek-OCR-master ./DeepSeek-OCR-master # buildkit
                        
# 2025-12-07 21:34:21  123.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
                        
# 2025-12-07 21:34:21  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y     wget     curl     git     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-12-07 21:34:16  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-12-07 21:34:16  0.00B 设置环境变量 PYTHONUNBUFFERED PIP_NO_CACHE_DIR DEBIAN_FRONTEND VLLM_USE_V1 CUDA_VISIBLE_DEVICES LD_LIBRARY_PATH CUDA_HOME
ENV PYTHONUNBUFFERED=1 PIP_NO_CACHE_DIR=1 DEBIAN_FRONTEND=noninteractive VLLM_USE_V1=0 CUDA_VISIBLE_DEVICES=0 LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 CUDA_HOME=/usr/local/cuda
                        
# 2025-09-18 03:07:21  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=0abbc99c3a779a3f40a8b337e832a3a66d3f1e6e
                        
# 2025-09-18 03:07:21  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF=0abbc99c3a779a3f40a8b337e832a3a66d3f1e6e
                        
# 2025-09-18 03:07:21  0.00B 添加元数据标签
LABEL com.nvidia.build.id=210907837
                        
# 2025-09-18 03:07:21  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=210907837
                        
# 2025-09-18 03:07:21  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID=210907837
                        
# 2025-09-18 03:07:21  15.04KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c cd /opt/pytorch/pytorch/ &&     sed -i "s#    if (props.computeMode != cudaComputeModeDefault) {#    int computeMode = -1;\n    TP_CUDA_CHECK(cudaDeviceGetAttribute(\&computeMode, cudaDevAttrComputeMode, device.index));\n    if (computeMode != cudaComputeModeDefault) {#g" ./third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc &&     cd - # buildkit
                        
# 2025-09-18 03:07:21  719.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-09-18 03:07:21  258.00B 复制新文件或目录到容器中
COPY constraint.txt /etc/pip/original_constraint.txt # buildkit
                        
# 2025-09-18 03:07:21  0.00B 复制新文件或目录到容器中
COPY restricted_constraint.txt /etc/pip/constraint.txt # buildkit
                        
# 2025-09-18 03:07:21  69.89KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /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
                        
# 2025-09-18 03:07:21  0.00B 设置环境变量 TORCH_NCCL_USE_COMM_NONBLOCKING
ENV TORCH_NCCL_USE_COMM_NONBLOCKING=0
                        
# 2025-09-18 03:07:21  0.00B 设置环境变量 CUDA_MODULE_LOADING
ENV CUDA_MODULE_LOADING=LAZY
                        
# 2025-09-18 03:07:21  106.94KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c patch -d /usr/local/lib/python3.12/dist-packages/numba/cuda/cudadrv/ -p1 < /tmp/numba-cuda-patch.txt # buildkit
                        
# 2025-09-18 03:07:21  0.00B 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-09-18 03:07:21  532.51MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else     git clone -b release_v${TRANSFORMER_ENGINE_VERSION} --single-branch --recursive https://github.com/NVIDIA/TransformerEngine.git &&     _NVTE_CUDA_ARCHS=$(echo "${CUDA_ARCH_LIST}" | tr -d '.') &&     NVTE_CUDA_ARCHS=$(echo "${_NVTE_CUDA_ARCHS}" | tr ' ' ';') &&     env NVTE_CUDA_ARCHS="${NVTE_CUDA_ARCHS};89" NVTE_BUILD_THREADS_PER_JOB=8 pip install --no-cache-dir --no-build-isolation ./TransformerEngine &&     rm -rf TransformerEngine; fi # buildkit
                        
# 2025-09-18 03:00:56  1.77GB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Flash Attention wheel in iGPU as it is a requirement for Transformer Engine"; else     pip install --no-cache-dir /opt/pytorch/flash_attn*.whl; fi # buildkit
                        
# 2025-09-18 02:59:33  45.20MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/dist/*.whl # buildkit
                        
# 2025-09-18 02:59:15  703.03MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install --no-cache-dir /opt/pytorch/apex/dist/*.whl # buildkit
                        
# 2025-09-18 02:57:21  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/lib/python3.12/dist-packages/torch_tensorrt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/opt/tensorrt/bin
                        
# 2025-09-18 02:57:21  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-09-18 02:57:21  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2025-09-18 02:57:21  163.20MB 复制新文件或目录到容器中
COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
                        
# 2025-09-18 02:57:20  65.95MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip --version && python -c 'import sys; print(sys.platform)'     && pip install --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple --no-cache-dir "polygraphy==${POLYGRAPHY_VERSION}"     && pip install  --index-url https://gitlab-master.nvidia.com/api/v4/projects/omniml%2Fmodelopt/packages/pypi/simple --extra-index-url https://pypi.nvidia.com "nvidia-modelopt[torch]==${MODEL_OPT_VERSION}"     && pip install nvidia-resiliency-ext==${NVRX_VERSION} --index-url https://gitlab-master.nvidia.com/api/v4/projects/dl%2Fosiris%2Fnvidia-resiliency-ext-ci/packages/pypi/simple # buildkit
                        
# 2025-09-18 02:57:12  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/opt/tensorrt/bin
                        
# 2025-09-18 02:57:12  7.24MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c set -x     && WHEELS=1 /nvidia/build-scripts/installTRT.sh # buildkit
                        
# 2025-09-18 02:56:14  34.90MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c chmod -R a+w . # buildkit
                        
# 2025-09-18 02:56:14  34.89MB 复制新文件或目录到容器中
COPY tutorials tutorials # buildkit
                        
# 2025-09-18 02:56:14  2.07KB 复制新文件或目录到容器中
COPY docker-examples docker-examples # buildkit
                        
# 2025-09-18 02:56:14  2.05KB 复制新文件或目录到容器中
COPY NVREADME.md README.md # buildkit
                        
# 2025-09-18 02:56:14  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-09-18 02:56:14  224.04KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install tabulate # buildkit
                        
# 2025-09-18 02:56:13  429.67MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c ( if [ "${L4T}" = "1" ]; then echo "Not installing nvshmem in iGPU container"; else /nvidia/build-scripts/installCUBLASMP.sh && DPKG_DIVERT=1 /nvidia/build-scripts/installNVSHMEM.sh ; fi )  && ( cd fuser && pip install -r requirements.txt && pip install -v ./python --no-build-isolation && rm -rf ./python/build && rm -rf ./bin)  && ( cd lightning-thunder && pip install --no-build-isolation . && rm -rf build *.egg-info)  && ( cd lightning-thunder && mkdir tmp && cd tmp && git clone -b v${CUDNN_FRONTEND_VERSION} --recursive --single-branch https://github.com/NVIDIA/cudnn-frontend.git cudnn_frontend && cd cudnn_frontend && pip install --no-build-isolation . && cd ../../ && rm -rf tmp )  && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-build-isolation . )  && ( if [ "${L4T}" = "1" ]; then echo "Not installing torchao in iGPU container"; else cd ao && TORCH_CUDA_ARCH_LIST="9.0a 10.0a ${TORCH_CUDA_ARCH_LIST}" pip install --no-build-isolation . && python setup.py clean --all ; fi ) # buildkit
                        
# 2025-09-18 02:38:47  0.00B 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-18 02:38:47  2.21KB 复制新文件或目录到容器中
COPY singularity/ /.singularity.d/ # buildkit
                        
# 2025-09-18 02:38:47  71.64MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//')  && pip install git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
                        
# 2025-09-18 02:38:20  0.00B 设置环境变量 COCOAPI_VERSION
ENV COCOAPI_VERSION=2.0+nv0.8.1
                        
# 2025-09-18 02:38:20  709.91MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ -z "${DALI_VERSION}" ] ; then   echo "Not Installing DALI for L4T Build." ; exit 0; fi   && export CUDA_VERSION_MAJOR=$(ls /usr/local/cuda/lib64/libcudart.so.*.*.* | cut -d . -f 3)   && export DALI_PKG_SUFFIX="cuda${CUDA_VERSION_MAJOR}0"   && if [ -z "${DALI_URL_SUFFIX}" ] ; then export DALI_EXTRA_INDEX_URL="${DALI_EXTRA_INDEX_URL}-qa/nvidia-dali-cudagpgpu"; fi   && pip install                 --extra-index-url https://developer.download.nvidia.com/compute/redist                 --extra-index-url "${DALI_EXTRA_INDEX_URL}"                 --extra-index-url "http://sqrl/nvdl/datasets/dali/misc"                 --trusted-host sqrl         nvidia-dali-${DALI_PKG_SUFFIX}==${DALI_VERSION} # buildkit
                        
# 2025-09-18 02:38:07  0.00B 定义构建参数
ARG DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_CUPTI_PATH
ENV TRITON_CUPTI_PATH=/usr/local/cuda/include
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_CUDART_PATH
ENV TRITON_CUDART_PATH=/usr/local/cuda/include
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_CUDACRT_PATH
ENV TRITON_CUDACRT_PATH=/usr/local/cuda/include
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_NVDISASM_PATH
ENV TRITON_NVDISASM_PATH=/usr/local/cuda/bin/nvdisasm
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_CUOBJDUMP_PATH
ENV TRITON_CUOBJDUMP_PATH=/usr/local/cuda/bin/cuobjdump
                        
# 2025-09-18 02:38:07  0.00B 设置环境变量 TRITON_PTXAS_PATH
ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
                        
# 2025-09-18 02:38:07  796.95MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install --no-cache-dir /tmp/dist/*.whl # buildkit
                        
# 2025-09-18 02:37:58  69.31MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c cd pytorch && pip install -v -r /opt/pytorch/pytorch/requirements.txt # buildkit
                        
# 2025-09-18 02:37:55  440.99KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c patchelf --set-soname libjpeg.so.62 --output /usr/local/lib/libjpeg.so.62 $(readlink -f $(ldd /usr/local/lib/python3.12/dist-packages/torchvision/image.so | grep libjpeg | awk '{print $3}')) # buildkit
                        
# 2025-09-18 02:37:55  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib64/libjpeg* /usr/local/lib/ # buildkit
                        
# 2025-09-18 02:37:55  12.35MB 复制新文件或目录到容器中
COPY /usr/local/lib64/libtorchvision.so.1.0 /usr/local/lib/libtorchvision.so.1.0 # buildkit
                        
# 2025-09-18 02:37:55  398.75KB 复制新文件或目录到容器中
COPY /usr/local/include/torchvision/ /usr/local/include/torchvision/ # buildkit
                        
# 2025-09-18 02:37:55  9.02KB 复制新文件或目录到容器中
COPY /usr/local/share/cmake/TorchVision/ /usr/local/share/cmake/TorchVision/ # buildkit
                        
# 2025-09-18 02:37:55  1.38GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c echo "TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}"     && pip install /opt/transfer/torch*.whl     && patchelf --set-rpath '/usr/local/lib' /usr/local/lib/python${PYVER}/dist-packages/torch/lib/libtorch_global_deps.so # buildkit
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 TORCH_ALLOW_TF32_CUBLAS_OVERRIDE
ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 PYTORCH_HOME
ENV PYTORCH_HOME=/opt/pytorch/pytorch
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0+PTX
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 UCC_EC_CUDA_EXEC_NUM_THREADS
ENV UCC_EC_CUDA_EXEC_NUM_THREADS=256
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 UCC_CL_BASIC_TLS
ENV UCC_CL_BASIC_TLS=^sharp
                        
# 2025-09-07 11:15:22  0.00B 声明容器运行时监听的端口
EXPOSE &{[{{212 0} {212 0}}] 0xc000cfb100}
                        
# 2025-09-07 11:15:22  0.00B 声明容器运行时监听的端口
EXPOSE &{[{{211 0} {211 0}}] 0xc000cfb100}
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 TENSORBOARD_PORT
ENV TENSORBOARD_PORT=6006
                        
# 2025-09-07 11:15:22  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2025-09-07 11:15:22  248.00B 复制新文件或目录到容器中
COPY jupyter_config/settings.jupyterlab-settings /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/ # buildkit
                        
# 2025-09-07 11:15:22  236.00B 复制新文件或目录到容器中
COPY jupyter_config/manager.jupyterlab-settings /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/ # buildkit
                        
# 2025-09-07 11:15:22  519.00B 复制新文件或目录到容器中
COPY jupyter_config/jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
                        
# 2025-09-07 11:15:22  15.68MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install --no-cache-dir /builder/*.whl jupytext black isort  && mkdir -p /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/  && jupyter lab clean # buildkit
                        
# 2025-09-07 11:36:36  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2025-09-07 11:14:47  27.81KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c PATCHED_FILE=$(python -c "from tensorboard.plugins.core import core_plugin as _; print(_.__file__)") &&     sed -i 's/^\( *"--bind_all",\)$/\1 default=True,/' "$PATCHED_FILE" &&     test $(grep '^ *"--bind_all", default=True,$' "$PATCHED_FILE" | wc -l) -eq 1 # buildkit
                        
# 2025-09-07 11:14:46  283.96MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c git config --global url."https://github".insteadOf git://github &&     pip install jupyterlab notebook tensorboard     jupyterlab_code_formatter python-hostlist # buildkit
                        
# 2025-09-07 11:14:31  2.08GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install         numpy         scipy         PyYAML         astunparse         typing_extensions         cffi         mock         tqdm         librosa         expecttest         hypothesis         xdoctest         pytest         pytest-xdist         pytest-rerunfailures         pytest-shard         pytest-flakefinder         pybind11         Cython         regex         protobuf         six &&     if [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl mkl-include mkl-devel ;     find /usr/local/lib -maxdepth 1 -type f -regex '.*\/lib\(tbb\|mkl\).*\.so\($\|\.[0-9]*\.[0-9]*\)' -exec rm -v {} + ; fi # buildkit
                        
# 2025-09-07 11:14:02  0.00B 设置环境变量 PIP_DEFAULT_TIMEOUT
ENV PIP_DEFAULT_TIMEOUT=100
                        
# 2025-09-07 11:14:02  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-09-07 11:14:02  0.00B 设置环境变量 PYTHONIOENCODING
ENV PYTHONIOENCODING=utf-8
                        
# 2025-09-07 11:14:02  1.85GB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-09-07 11:13:54  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2025-09-07 11:36:36  0.00B 设置环境变量 NVPL_LAPACK_MATH_MODE
ENV NVPL_LAPACK_MATH_MODE=PEDANTIC
                        
# 2025-09-07 11:36:36  0.00B 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c if [ $TARGETARCH = "arm64" ]; then cd /opt &&     curl "https://gitlab-master.nvidia.com/api/v4/projects/105799/packages/generic/nvpl_slim_24.04/sbsa/nvpl_slim_24.04.tar" --output nvpl_slim_24.04.tar &&     tar -xf nvpl_slim_24.04.tar &&     cp -r nvpl_slim_24.04/lib/* /usr/local/lib &&     cp -r nvpl_slim_24.04/include/* /usr/local/include &&     rm -rf nvpl_slim_24.04.tar nvpl_slim_24.04 ; fi # buildkit
                        
# 2025-09-07 11:13:54  76.34MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install pip setuptools &&     pip install cmake # buildkit
                        
# 2025-09-07 11:13:51  258.00B 复制新文件或目录到容器中
COPY constraint.txt /etc/pip/constraint.txt # buildkit
                        
# 2025-09-07 11:13:51  0.00B 设置环境变量 PIP_CONSTRAINT
ENV PIP_CONSTRAINT=/etc/pip/constraint.txt
                        
# 2025-09-07 11:13:51  11.98MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2025-09-07 11:13:49  0.00B 设置环境变量 PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
                        
# 2025-09-07 11:13:49  226.60MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c export PYSFX=`echo "${PYVER}" | cut -c1-1` &&     export DEBIAN_FRONTEND=noninteractive &&     apt-get update &&     apt-get install -y --no-install-recommends         python$PYVER-dev         python$PYSFX         python$PYSFX-dev         python$PYSFX-venv         python-is-python$PYSFX         autoconf         automake         libatlas-base-dev         libgoogle-glog-dev         libbz2-dev         libc-ares2         libre2-dev         libleveldb-dev         liblmdb-dev         libprotobuf-dev         libsnappy-dev         libtool         nasm         protobuf-compiler         pkg-config         unzip         sox         libsndfile1         libpng-dev         libhdf5-dev         gfortran         rapidjson-dev         ninja-build         libedit-dev         build-essential         patchelf     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-07 11:36:36  0.00B 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.09 PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 NVFUSER_BUILD_VERSION=a71c674 TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG L4T=0
                        
# 2025-09-07 11:36:36  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-09-07 11:36:36  0.00B 添加元数据标签
LABEL com.nvidia.pytorch.version=2.9.0a0+50eac81
                        
# 2025-09-07 11:36:36  0.00B 设置环境变量 NVFUSER_BUILD_VERSION NVFUSER_VERSION
ENV NVFUSER_BUILD_VERSION=a71c674 NVFUSER_VERSION=a71c674
                        
# 2025-09-07 11:36:36  0.00B 设置环境变量 PYTORCH_BUILD_VERSION PYTORCH_VERSION PYTORCH_BUILD_NUMBER NVIDIA_PYTORCH_VERSION
ENV PYTORCH_BUILD_VERSION=2.9.0a0+50eac81 PYTORCH_VERSION=2.9.0a0+50eac81 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=25.09
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG NVFUSER_BUILD_VERSION=a71c674
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG PYTORCH_BUILD_VERSION=2.9.0a0+50eac81
                        
# 2025-09-07 11:36:36  0.00B 定义构建参数
ARG NVIDIA_PYTORCH_VERSION=25.09
                        
# 2025-09-07 11:36:36  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=PyTorch
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-09-06 04:40:02  1.45GB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.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
                        
# 2025-09-06 04:40:02  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-09-06 04:40:02  98.94MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libhwloc15         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-09-06 04:40:02  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.27.7 com.nvidia.cublas.version=13.0.2.14 com.nvidia.cufft.version=12.0.0.61 com.nvidia.curand.version=10.4.0.35 com.nvidia.cusparse.version=12.6.3.3 com.nvidia.cusparselt.version=0.8.1.1 com.nvidia.cusolver.version=12.0.4.66 com.nvidia.npp.version=13.0.1.2 com.nvidia.nvjpeg.version=13.0.1.86 com.nvidia.cublasmp.version=0.5.1.65 com.nvidia.nvvm.version=13.0.88 com.nvidia.cudla.version=13.0.1.012 com.nvidia.cudnn.version=9.13.0.50 com.nvidia.tensorrt.version=10.13.3.9 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.5.1.121 com.nvidia.nsightcompute.version=2025.3.1.4
                        
# 2025-09-06 04:40:02  4.69GB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /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/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2025-09-06 04:40:02  597.51MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-09-06 04:40:02  281.55MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         libncurses6         libncursesw6         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-09-06 04:40:02  467.00B 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-09-06 04:40:02  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-09-06 04:40:02  16.17KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-09-06 04:40:02  35.27KB 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then            echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf       && ldconfig;                                                 fi # buildkit
                        
# 2025-09-06 04:40:02  5.01MB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-09-06 04:40:02  102.38MB 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c if [ -n "${DOCA_VERSION}" ] && dpkg --compare-versions "${HPCX_VERSION}" "ge" "2.24"; then         /nvidia/build-scripts/installDOCA.sh;     else         echo "Not running installDOCA.sh";     fi # buildkit
                        
# 2025-09-06 04:40:02  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/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/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
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-09-06 04:40:02  46.00B 执行命令并创建新的镜像层
RUN |46 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 /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
                        
# 2025-09-06 04:40:02  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION NPP_VERSION NVJPEG_VERSION CUFILE_VERSION NVJITLINK_VERSION NVFATBIN_VERSION CUBLASMP_VERSION NVSHMEM_VERSION CUDLA_VERSION NVPTXCOMPILER_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION CUDA_ARCH_LIST MAXSMVER NVRX_VERSION
ENV NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSPARSELT_VERSION=0.8.1.1 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.0.2.14 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.5.1.65 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.1.012 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.13.0.50 CUDNN_FRONTEND_VERSION=1.14.0 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.7 MODEL_OPT_VERSION=0.33.0 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13
                        
# 2025-09-06 04:40:02  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-09-06 04:40:02  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
                        
# 2025-09-06 04:40:02  57.02KB 执行命令并创建新的镜像层
RUN |15 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-09-06 04:40:02  366.93MB 执行命令并创建新的镜像层
RUN |15 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 /bin/sh -c BASE=min /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION NVVM_VERSION DOCA_VERSION
ENV CUDA_VERSION=13.0.1.012 CUDA_DRIVER_VERSION=580.82.07 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG DOCA_VERSION=3.1.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG NVVM_VERSION=13.0.88
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=580.82.07
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.1.012
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2025-09-06 04:40:02  236.75MB 执行命令并创建新的镜像层
RUN |11 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( cd opt/rdma-core/                            && dpkg -i libibverbs1_*.deb                            libibverbs-dev_*.deb                         librdmacm1_*.deb                             librdmacm-dev_*.deb                          libibumad3_*.deb                             libibumad-dev_*.deb                          ibverbs-utils_*.deb                          ibverbs-providers_*.deb           && 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       )                                                         && ( if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then           cd opt/amazon/efa/                                           && dpkg -i libfabric*.deb                                    && rm /opt/amazon/efa/lib/libfabric.a                        && echo "/opt/amazon/efa/lib" > /etc/ld.so.conf.d/efa.conf;         fi                                                         )                                                         && ldconfig # buildkit
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION EFA_VERSION AWS_OFI_NCCL_VERSION
ENV GDRCOPY_VERSION=2.5 HPCX_VERSION=2.24.1 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=56.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG EFA_VERSION=1.38.1
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.19.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore56.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG RDMACORE_VERSION=56.0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG HPCX_VERSION=2.24.1
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5
                        
# 2025-09-06 04:40:02  9.32MB 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         adduser         curl         libnl-route-3-200         libnl-3-200         libnl-3-dev         libnl-route-3-dev         patch         wget  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-06 04:40:02  3.01MB 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c if [ -d /usr/share/ca-certificates ]; then exit; fi  && export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends ca-certificates  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-09-06 04:40:02  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /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
                        
# 2025-09-06 04:40:02  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-09-06 04:40:02  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-08-19 22:37:01  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-08-19 22:37:00  78.12MB 
/bin/sh -c #(nop) ADD file:e67907c77897d27192314f6c4fa0112b6f7dce3e127500516535cc50fe736c92 in / 
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-08-19 22:36:58  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "neosun/deepseek-ocr:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/neosun/deepseek-ocr:latest"
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    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "",
    "Created": "2025-12-16T03:36:26.416233782Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "c0fadda451c4",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": true,
        "AttachStderr": true,
        "ExposedPorts": {
            "6006/tcp": {},
            "8001/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "NVIDIA_VISIBLE_DEVICES=2",
            "CUDA_VISIBLE_DEVICES=0",
            "VLLM_USE_V1=0",
            "PYTHONUNBUFFERED=1",
            "PATH=/usr/local/lib/python3.12/dist-packages/torch_tensorrt/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin:/opt/tensorrt/bin",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "GDRCOPY_VERSION=2.5",
            "HPCX_VERSION=2.24.1",
            "MOFED_VERSION=5.4-rdmacore56.0",
            "OPENUCX_VERSION=1.19.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=56.0",
            "EFA_VERSION=1.38.1",
            "AWS_OFI_NCCL_VERSION=1.14.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "CUDA_VERSION=13.0.1.012",
            "CUDA_DRIVER_VERSION=580.82.07",
            "NVVM_VERSION=13.0.88",
            "DOCA_VERSION=3.1.0",
            "_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=2.27.7",
            "CUBLAS_VERSION=13.0.2.14",
            "CUFFT_VERSION=12.0.0.61",
            "CURAND_VERSION=10.4.0.35",
            "CUSPARSE_VERSION=12.6.3.3",
            "CUSPARSELT_VERSION=0.8.1.1",
            "CUSOLVER_VERSION=12.0.4.66",
            "NPP_VERSION=13.0.1.2",
            "NVJPEG_VERSION=13.0.1.86",
            "CUFILE_VERSION=1.15.1.6",
            "NVJITLINK_VERSION=13.0.88",
            "NVFATBIN_VERSION=13.0.85",
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