docker.io/nvcr.io/nvidia/pytorch:24.11-py3 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3  docker.io/nvcr.io/nvidia/pytorch:24.11-py3

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3  docker.io/nvcr.io/nvidia/pytorch:24.11-py3

Shell快速替换命令

sed -i 's#nvcr.io/nvidia/pytorch:24.11-py3#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3#' 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/nvcr.io/nvidia/pytorch:24.11-py3 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3  docker.io/nvcr.io/nvidia/pytorch:24.11-py3'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/nvcr.io/nvidia/pytorch:24.11-py3  docker.io/nvcr.io/nvidia/pytorch:24.11-py3'

镜像构建历史

# 2024-11-16 02:54:46  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=40d6cf911ff7816d89ec212ae4ba065395be1d07
                        
# 2024-11-16 02:54:46  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF=40d6cf911ff7816d89ec212ae4ba065395be1d07
                        
# 2024-11-16 02:54:46  0.00B 添加元数据标签
LABEL com.nvidia.build.id=122402533
                        
# 2024-11-16 02:54:46  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=122402533
                        
# 2024-11-16 02:54:46  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID=122402533
                        
# 2024-11-16 02:54:46  719.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2024-11-16 02:54:46  83.49KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 PYVER=3.12 /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
                        
# 2024-11-16 02:54:46  0.00B 设置环境变量 CUDA_MODULE_LOADING
ENV CUDA_MODULE_LOADING=LAZY
                        
# 2024-11-16 02:54:46  0.00B 设置环境变量 TORCH_CUDNN_V8_API_ENABLED
ENV TORCH_CUDNN_V8_API_ENABLED=1
                        
# 2024-11-16 02:54:46  355.98MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 PYVER=3.12 /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else      NVTE_BUILD_THREADS_PER_JOB=8 pip install --no-cache-dir --no-build-isolation git+https://github.com/NVIDIA/TransformerEngine.git@release_v${TRANSFORMER_ENGINE_VERSION}; fi # buildkit
                        
# 2024-11-16 02:49:23  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/lib/python3.12/dist-packages/torch_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:/opt/amazon/efa/bin:/opt/tensorrt/bin
                        
# 2024-11-16 02:49:23  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
                        
# 2024-11-16 02:49:23  401.28MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 PYVER=3.12 /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Flash Attention in iGPU as it is a requirement for Transformer Engine"; else     pip install --no-cache-dir /opt/pytorch/flash_attn*.whl; fi # buildkit
                        
# 2024-11-16 02:49:19  45.21MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 PYVER=3.12 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/dist/*.whl # buildkit
                        
# 2024-11-16 02:49:18  508.17MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 PYVER=3.12 /bin/sh -c pip install --no-cache-dir /opt/pytorch/apex/dist/*.whl # buildkit
                        
# 2024-11-16 02:24:49  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2024-11-16 02:24:49  153.51MB 复制新文件或目录到容器中
COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
                        
# 2024-11-16 02:24:49  65.66MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip --version && python -c 'import sys; print(sys.platform)'     && pip install --no-cache-dir nvidia-pyindex     && pip install --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple --no-cache-dir "polygraphy==${POLYGRAPHY_VERSION}"     && pip install --extra-index-url https://pypi.nvidia.com "nvidia-modelopt[torch]==${MODEL_OPT_VERSION}" # buildkit
                        
# 2024-11-16 02:24:35  0.00B 设置环境变量 PATH
ENV 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:/opt/amazon/efa/bin:/opt/tensorrt/bin
                        
# 2024-11-16 02:24:35  6.84MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c set -x  && URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar  && FILE=$(wget -O - $URL | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | egrep -v "internal|safety")  && wget -q $URL/$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  && ln -s /opt/tensorrt /usr/src/tensorrt  && rm -r TensorRT-* # buildkit
                        
# 2024-11-16 02:23:26  35.04MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c chmod -R a+w . # buildkit
                        
# 2024-11-16 02:23:26  34.89MB 复制新文件或目录到容器中
COPY tutorials tutorials # buildkit
                        
# 2024-11-16 02:23:26  2.07KB 复制新文件或目录到容器中
COPY docker-examples docker-examples # buildkit
                        
# 2024-11-16 02:23:26  2.05KB 复制新文件或目录到容器中
COPY NVREADME.md README.md # buildkit
                        
# 2024-11-16 02:23:26  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2024-11-16 02:23:26  3.73GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c if [ "${L4T}" = "1" ]; then     echo "Not installing rapids for L4T build." ; else     find /rapids  -name "*-Linux.tar.gz" -exec     tar -C /usr --exclude="*.a" --exclude="bin/xgboost" --strip-components=1 -xvf {} \;  && find /rapids -name "*.whl"     ! -name "tornado-*"     ! -name "Pillow-*"     ! -name "certifi-*"     ! -name "protobuf-*" -exec     pip install --no-cache-dir {} + ; pip install numpy==1.26.4; fi # buildkit
                        
# 2024-11-16 02:22:37  224.07KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip install --no-cache-dir --disable-pip-version-check tabulate # buildkit
                        
# 2024-11-16 02:22:35  173.40MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c ( cd fuser && pip install -r requirements.txt &&  python setup.py -version-tag=a0+${NVFUSER_VERSION} install && python setup.py clean && cp $(find /usr/local/lib/python${PYVER}/dist-packages/ -name libnvfuser_codegen.so)  /usr/local/lib/python${PYVER}/dist-packages/torch/lib/ )  && ( cd lightning-thunder && python setup.py install && rm -rf build)  && ( cd lightning-thunder && mkdir tmp && cd tmp && git clone -b v${CUDNN_FRONTEND_VERSION} --recursive --single-branch https://github.com/NVIDIA/cudnn-frontend.git cudnn_frontend && cd cudnn_frontend && pip install --no-build-isolation --no-cache-dir --disable-pip-version-check . && 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 --no-cache-dir --disable-pip-version-check . ) # buildkit
                        
# 2024-11-16 02:15:33  2.21KB 复制新文件或目录到容器中
COPY singularity/ /.singularity.d/ # buildkit
                        
# 2024-11-16 02:15:33  69.39MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//')  && pip install --disable-pip-version-check --no-cache-dir git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
                        
# 2024-11-16 02:15:01  0.00B 设置环境变量 COCOAPI_VERSION
ENV COCOAPI_VERSION=2.0+nv0.8.1
                        
# 2024-11-16 02:15:01  806.67MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c if [ -z "${DALI_VERSION}" ] ; then   echo "Not Installing DALI for L4T Build." ; else   export DALI_PKG_SUFFIX="cuda${CUDA_VERSION%%.*}0"   && pip install --disable-pip-version-check --no-cache-dir                 --extra-index-url https://developer.download.nvidia.com/compute/redist                 --extra-index-url http://sqrl/dldata/pip-dali${DALI_URL_SUFFIX:-} --trusted-host sqrl         nvidia-dali-${DALI_PKG_SUFFIX}==${DALI_VERSION}; fi # buildkit
                        
# 2024-11-16 02:14:52  586.17MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip install --no-cache-dir /tmp/dist/*.whl # buildkit
                        
# 2024-11-16 02:14:47  11.68MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c cd pytorch && pip install --no-cache-dir -v -r /opt/pytorch/pytorch/requirements.txt # buildkit
                        
# 2024-11-16 02:14:45  11.25MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c patchelf --set-rpath '$ORIGIN:/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torchvision/' /usr/local/lib/libtorchvision.so && 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
                        
# 2024-11-16 02:14:45  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib64/libjpeg* /usr/local/lib/ # buildkit
                        
# 2024-11-16 02:14:45  10.02MB 复制新文件或目录到容器中
COPY /usr/local/lib64/libtorchvision.so /usr/local/lib/libtorchvision.so # buildkit
                        
# 2024-11-16 02:14:45  405.57KB 复制新文件或目录到容器中
COPY /usr/local/include/torchvision/ /usr/local/include/torchvision/ # buildkit
                        
# 2024-11-16 02:14:45  8.90KB 复制新文件或目录到容器中
COPY /usr/local/share/cmake/TorchVision/ /usr/local/share/cmake/TorchVision/ # buildkit
                        
# 2024-11-16 02:14:45  1.79GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c 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
                        
# 2024-11-16 02:14:19  0.00B 设置环境变量 TORCH_ALLOW_TF32_CUBLAS_OVERRIDE
ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
                        
# 2024-11-16 02:14:19  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2024-11-16 02:14:19  0.00B 设置环境变量 PYTORCH_HOME
ENV PYTORCH_HOME=/opt/pytorch/pytorch
                        
# 2024-11-16 02:14:19  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 9.0+PTX
                        
# 2024-11-16 02:14:19  0.00B 设置环境变量 UCC_CL_BASIC_TLS
ENV UCC_CL_BASIC_TLS=^sharp
                        
# 2024-11-16 02:14:19  65.56MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c OPENCV_VERSION=4.10.0 &&     cd / &&     wget -q -O - https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - &&     cd /opencv-${OPENCV_VERSION} &&     cmake -GNinja -Bbuild -H.           -DWITH_CUDA=OFF -DWITH_1394=OFF           -DPYTHON3_PACKAGES_PATH="/usr/local/lib/python${PYVER}/dist-packages"           -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF -DWITH_IPP=OFF -DWITH_PROTOBUF=OFF &&     cmake --build build --target install &&     cd modules/python/package &&     pip install --no-cache-dir --disable-pip-version-check -v . &&     rm -rf /opencv-${OPENCV_VERSION} # buildkit
                        
# 2024-11-16 02:09:17  0.00B 声明容器运行时监听的端口
EXPOSE map[6006/tcp:{}]
                        
# 2024-11-16 02:09:17  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2024-11-16 02:09:17  0.00B 设置环境变量 TENSORBOARD_PORT
ENV TENSORBOARD_PORT=6006
                        
# 2024-11-16 02:09:17  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2024-11-16 02:09:17  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
                        
# 2024-11-16 02:09:17  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
                        
# 2024-11-16 02:09:17  554.00B 复制新文件或目录到容器中
COPY jupyter_config/jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
                        
# 2024-11-16 02:09:17  18.73MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip install --no-cache-dir jupyterlab-tensorboard-pro jupytext     black isort  && mkdir -p /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/  && jupyter lab clean # buildkit
                        
# 2024-11-16 02:09:13  27.81KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=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
                        
# 2024-11-16 02:09:13  200.57MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c git config --global url."https://github".insteadOf git://github &&     pip install --no-cache-dir 'jupyterlab>=4.1.0,<5.0.0a0' notebook tensorboard==2.16.2     jupyterlab_code_formatter python-hostlist # buildkit
                        
# 2024-11-16 02:08:59  2.19GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip install --no-cache-dir         numpy==1.26.4         scipy==1.11.3         "PyYAML>=5.4.1"         astunparse         typing_extensions         cffi         spacy==3.7.5         mock         tqdm         librosa==0.10.1         expecttest==0.1.3         hypothesis==5.35.1         xdoctest==1.0.2         pytest==8.1.1         pytest-xdist         pytest-rerunfailures         pytest-shard         pytest-flakefinder         pybind11         Cython         "regex>=2020.1.8"         protobuf==4.24.4 &&         six==1.16.0 &&     if [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl==2021.1.1 mkl-include==2021.1.1 mkl-devel==2021.1.1 ;     find /usr/local/lib -maxdepth 1 -type f -regex '.*\/lib\(tbb\|mkl\).*\.so\($\|\.[0-9]*\.[0-9]*\)' -exec rm -v {} + ; fi # buildkit
                        
# 2024-11-16 02:08:08  0.00B 设置环境变量 PIP_DEFAULT_TIMEOUT
ENV PIP_DEFAULT_TIMEOUT=100
                        
# 2024-11-16 02:08:08  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2024-11-16 02:08:08  0.00B 设置环境变量 PYTHONIOENCODING
ENV PYTHONIOENCODING=utf-8
                        
# 2024-11-16 02:08:08  1.34GB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2024-11-16 02:07:59  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2024-11-16 02:07:59  0.00B 设置环境变量 NVPL_LAPACK_MATH_MODE
ENV NVPL_LAPACK_MATH_MODE=PEDANTIC
                        
# 2024-11-16 02:07:59  0.00B 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=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
                        
# 2024-11-16 02:07:59  46.71MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c curl "https://gitlab-master.nvidia.com/api/v4/projects/105799/packages/generic/OpenBLAS/0.3.24-$(uname -m)/OpenBLAS-0.3.24-$(uname -m).tar.gz" --output OpenBLAS.tar.gz &&     tar -xf OpenBLAS.tar.gz -C /usr/local/ &&     rm OpenBLAS.tar.gz # buildkit
                        
# 2024-11-16 02:07:58  74.52MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c pip install --no-cache-dir pip 'setuptools<71' &&     pip install --no-cache-dir cmake # buildkit
                        
# 2024-11-16 02:07:54  12.79MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=0 /bin/sh -c DEBIAN_FRONTEND=noninteractive apt remove -y --force-yes python3-pip &&    curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2024-11-16 02:07:51  0.00B 设置环境变量 PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
                        
# 2024-11-16 02:07:51  230.31MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=24.11 PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 NVFUSER_BUILD_VERSION=0d33366 TARGETARCH=amd64 PYVER=3.12 PYVER_MAJMIN=312 L4T=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
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG L4T=0
                        
# 2024-11-16 02:07:51  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG PYVER_MAJMIN=312
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-11-16 02:07:51  0.00B 添加元数据标签
LABEL com.nvidia.pytorch.version=2.6.0a0+df5bbc0
                        
# 2024-11-16 02:07:51  0.00B 设置环境变量 NVFUSER_BUILD_VERSION NVFUSER_VERSION
ENV NVFUSER_BUILD_VERSION=0d33366 NVFUSER_VERSION=0d33366
                        
# 2024-11-16 02:07:51  0.00B 设置环境变量 PYTORCH_BUILD_VERSION PYTORCH_VERSION PYTORCH_BUILD_NUMBER NVIDIA_PYTORCH_VERSION
ENV PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0 PYTORCH_VERSION=2.6.0a0+df5bbc0 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=24.11
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG NVFUSER_BUILD_VERSION=0d33366
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0
                        
# 2024-11-16 02:07:51  0.00B 定义构建参数
ARG NVIDIA_PYTORCH_VERSION=24.11
                        
# 2024-11-16 02:07:51  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=PyTorch
                        
# 2024-11-15 06:32:09  39.59KB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 TARGETARCH=amd64 /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
                        
# 2024-11-15 06:32:09  934.87KB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2024-11-15 06:31:53  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2024-11-15 06:31:53  1.01GB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 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  && 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/installCUTENSOR.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
                        
# 2024-11-15 06:28:51  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2024-11-15 06:28:51  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2024-11-15 06:28:51  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:/opt/amazon/efa/bin
                        
# 2024-11-15 06:28:51  226.69MB 执行命令并创建新的镜像层
RUN |9 GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.21 RDMACORE_VERSION=39.0 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1 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       )                                                         && ( 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
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2024-11-15 06:28:51  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=2.4.1 HPCX_VERSION=2.21 MOFED_VERSION=5.4-rdmacore39.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=39.0 EFA_VERSION=1.34.0 AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.12.1
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG EFA_VERSION=1.34.0
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.18.0
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore39.0
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG RDMACORE_VERSION=39.0
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG HPCX_VERSION=2.21
                        
# 2024-11-15 06:28:51  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.1
                        
# 2024-11-15 06:28:43  101.49MB 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         libhwloc15         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
                        
# 2024-11-15 06:01:19  148.72KB 复制新文件或目录到容器中
COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
                        
# 2024-11-15 06:01:19  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2024-11-15 06:01:19  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2024-11-15 06:01:19  15.93KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2024-11-15 06:01:19  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
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2024-11-15 06:01:19  46.00B 执行命令并创建新的镜像层
RUN |24 CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.5.1.17 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.6.0.26 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.6.1.90 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 DALI_VERSION=1.43.0 DALI_BUILD=19497385 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.12 MODEL_OPT_VERSION=0.19.0 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf  && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
                        
# 2024-11-15 06:01:19  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2024-11-15 06:01:19  0.00B 设置环境变量 DALI_VERSION DALI_BUILD POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.43.0 DALI_BUILD=19497385 POLYGRAPHY_VERSION=0.49.13 TRANSFORMER_ENGINE_VERSION=1.12 MODEL_OPT_VERSION=0.19.0
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.19.0
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=1.12
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.13
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG DALI_BUILD=19497385
                        
# 2024-11-15 06:01:19  0.00B 定义构建参数
ARG DALI_VERSION=1.43.0
                        
# 2024-11-15 06:01:19  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.23.4 com.nvidia.cublas.version=12.6.4.1 com.nvidia.cufft.version=11.3.0.4 com.nvidia.curand.version=10.3.7.77 com.nvidia.cusparse.version=12.5.4.2 com.nvidia.cusparselt.version=0.6.3.2 com.nvidia.cusolver.version=11.7.1.2 com.nvidia.cutensor.version=2.0.2.5 com.nvidia.npp.version=12.3.1.54 com.nvidia.nvjpeg.version=12.3.3.54 com.nvidia.cudnn.version=9.5.1.17 com.nvidia.tensorrt.version=10.6.0.26 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2024.6.1.90 com.nvidia.nsightcompute.version=2024.3.2.3
                        
# 2024-11-15 06:01:19  6.59GB 执行命令并创建新的镜像层
RUN |19 CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.5.1.17 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.6.0.26 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.6.1.90 NSIGHT_COMPUTE_VERSION=2024.3.2.3 CUSPARSELT_VERSION=0.6.3.2 /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/installCUTENSOR.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2024-11-15 05:59:59  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION CUTENSOR_VERSION NPP_VERSION NVJPEG_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.23.4 CUBLAS_VERSION=12.6.4.1 CUFFT_VERSION=11.3.0.4 CURAND_VERSION=10.3.7.77 CUSPARSE_VERSION=12.5.4.2 CUSPARSELT_VERSION=0.6.3.2 CUSOLVER_VERSION=11.7.1.2 CUTENSOR_VERSION=2.0.2.5 NPP_VERSION=12.3.1.54 NVJPEG_VERSION=12.3.3.54 CUDNN_VERSION=9.5.1.17 CUDNN_FRONTEND_VERSION=1.8.0 TRT_VERSION=10.6.0.26 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2024.6.1.90 NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.6.3.2
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2024.3.2.3
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2024.6.1.90
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG TRTOSS_VERSION=
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG TRT_VERSION=10.6.0.26
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.8.0
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUDNN_VERSION=9.5.1.17
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.3.3.54
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG NPP_VERSION=12.3.1.54
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUTENSOR_VERSION=2.0.2.5
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.7.1.2
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.4.2
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.7.77
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUFFT_VERSION=11.3.0.4
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.6.4.1
                        
# 2024-11-15 05:59:59  0.00B 定义构建参数
ARG NCCL_VERSION=2.23.4
                        
# 2024-11-15 05:59:59  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2024-11-15 05:59:59  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
                        
# 2024-11-15 05:59:59  59.18KB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2024-11-15 05:59:59  460.10MB 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 JETPACK_HOST_MOUNTS= /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2024-11-15 04:15:01  0.00B 执行命令并创建新的镜像层
RUN |3 CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 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
                        
# 2024-11-15 04:15:01  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION CUDA_CACHE_DISABLE NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV CUDA_VERSION=12.6.3.001 CUDA_DRIVER_VERSION=560.35.05 CUDA_CACHE_DISABLE=1 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2024-11-15 04:15:01  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2024-11-15 04:15:01  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=560.35.05
                        
# 2024-11-15 04:15:01  0.00B 定义构建参数
ARG CUDA_VERSION=12.6.3.001
                        
# 2024-11-15 04:15:01  334.34MB 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         libncurses6         libncursesw6         patch         wget         rsync         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2024-10-11 11:48:04  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2024-10-11 11:48:03  78.11MB 
/bin/sh -c #(nop) ADD file:34dc4f3ab7a694ecde47ff7a610be18591834c45f1d7251813267798412604e5 in / 
                        
# 2024-10-11 11:48:01  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2024-10-11 11:48:01  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2024-10-11 11:48:01  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2024-10-11 11:48:01  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "RepoTags": [
        "nvcr.io/nvidia/pytorch:24.11-py3",
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    "RepoDigests": [
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    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2024-11-15T18:54:46.239451822Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "6006/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/lib/python3.12/dist-packages/torch_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:/opt/amazon/efa/bin:/opt/tensorrt/bin",
            "CUDA_VERSION=12.6.3.001",
            "CUDA_DRIVER_VERSION=560.35.05",
            "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=2.23.4",
            "CUBLAS_VERSION=12.6.4.1",
            "CUFFT_VERSION=11.3.0.4",
            "CURAND_VERSION=10.3.7.77",
            "CUSPARSE_VERSION=12.5.4.2",
            "CUSPARSELT_VERSION=0.6.3.2",
            "CUSOLVER_VERSION=11.7.1.2",
            "CUTENSOR_VERSION=2.0.2.5",
            "NPP_VERSION=12.3.1.54",
            "NVJPEG_VERSION=12.3.3.54",
            "CUDNN_VERSION=9.5.1.17",
            "CUDNN_FRONTEND_VERSION=1.8.0",
            "TRT_VERSION=10.6.0.26",
            "TRTOSS_VERSION=",
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            "NSIGHT_COMPUTE_VERSION=2024.3.2.3",
            "DALI_VERSION=1.43.0",
            "DALI_BUILD=19497385",
            "POLYGRAPHY_VERSION=0.49.13",
            "TRANSFORMER_ENGINE_VERSION=1.12",
            "MODEL_OPT_VERSION=0.19.0",
            "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",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=PyTorch",
            "GDRCOPY_VERSION=2.4.1",
            "HPCX_VERSION=2.21",
            "MOFED_VERSION=5.4-rdmacore39.0",
            "OPENUCX_VERSION=1.18.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=39.0",
            "EFA_VERSION=1.34.0",
            "AWS_OFI_NCCL_VERSION=1.12.1",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "PYTORCH_BUILD_VERSION=2.6.0a0+df5bbc0",
            "PYTORCH_VERSION=2.6.0a0+df5bbc0",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=24.11",
            "NVFUSER_BUILD_VERSION=0d33366",
            "NVFUSER_VERSION=0d33366",
            "PIP_BREAK_SYSTEM_PACKAGES=1",
            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python",
            "NVPL_LAPACK_MATH_MODE=PEDANTIC",
            "PYTHONIOENCODING=utf-8",
            "LC_ALL=C.UTF-8",
            "PIP_DEFAULT_TIMEOUT=100",
            "JUPYTER_PORT=8888",
            "TENSORBOARD_PORT=6006",
            "UCC_CL_BASIC_TLS=^sharp",
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            "PYTORCH_HOME=/opt/pytorch/pytorch",
            "CUDA_HOME=/usr/local/cuda",
            "TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1",
            "COCOAPI_VERSION=2.0+nv0.8.1",
            "TORCH_CUDNN_V8_API_ENABLED=1",
            "CUDA_MODULE_LOADING=LAZY",
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        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
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            "com.nvidia.build.ref": "40d6cf911ff7816d89ec212ae4ba065395be1d07",
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