Namespace
projectmonai
Image / Tagmonai:1.0.0rc3
Content Digestsha256:39e88e165beb44750c896af2c58a594d4a2ae84aef1442a29f2bb7c474695010
Details
2022-09-14 11:50:49 UTC
7.09 GB
Labels
-
com.nvidia.build.id42105213
-
com.nvidia.build.ref77ddbc1eeb37f30914b0f15067f584147275477b
-
com.nvidia.cublas.version11.10.3.66
-
com.nvidia.cuda.version9.0
-
com.nvidia.cudnn.version8.5.0.96
-
com.nvidia.cufft.version10.7.2.91
-
com.nvidia.curand.version10.2.10.91
-
com.nvidia.cusolver.version11.4.0.1
-
com.nvidia.cusparse.version11.7.4.91
-
com.nvidia.cutensor.version1.6.0.2
-
com.nvidia.nccl.version2.12.12
-
com.nvidia.npp.version11.7.4.75
-
com.nvidia.nsightcompute.version2022.2.1.3
-
com.nvidia.nsightsystems.version2022.1.3.18
-
com.nvidia.nvjpeg.version11.8.0.2
-
com.nvidia.pytorch.version1.13.0a0+d321be6
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com.nvidia.tensorrt.version8.4.2.4+cuda11.6.2.010
-
com.nvidia.tensorrtoss.version22.08
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com.nvidia.volumes.needednvidia_driver
-
maintainermonai.contact@gmail.com
Environment
BASH_ENV/etc/bash.bashrc
COCOAPI_VERSION2.0+nv0.6.1
CUBLAS_VERSION11.10.3.66
CUDA_CACHE_DISABLE1
CUDA_DRIVER_VERSION515.65.01
CUDA_HOME/usr/local/cuda
CUDA_MODULE_LOADINGLAZY
CUDA_VERSION11.7.1.017
CUDNN_VERSION8.5.0.96
CUFFT_VERSION10.7.2.91
CURAND_VERSION10.2.10.91
CUSOLVER_VERSION11.4.0.1
CUSPARSE_VERSION11.7.4.91
CUTENSOR_VERSION1.6.0.2
DALI_BUILD5322998
DALI_VERSION1.16.0
DLPROF_VERSION ENV/etc/shinit_v2
GDRCOPY_VERSION2.3
HPCX_VERSION2.10
JUPYTER_PORT8888
LC_ALLC.UTF-8
LD_LIBRARY_PATH/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
LIBRARY_PATH/usr/local/cuda/lib64/stubs:
MOFED_VERSION5.4-rdmacore36.0
NCCL_VERSION2.12.12
NPP_VERSION11.7.4.75
NSIGHT_COMPUTE_VERSION2022.2.1.3
NSIGHT_SYSTEMS_VERSION2022.1.3.18
NVIDIA_BUILD_ID42105213
NVIDIA_DRIVER_CAPABILITIEScompute,utility,video
NVIDIA_PRODUCT_NAMEPyTorch
NVIDIA_PYTORCH_VERSION22.08
NVIDIA_REQUIRE_CUDAcuda>=9.0
NVIDIA_VISIBLE_DEVICESall
NVJPEG_VERSION11.8.0.2
NVM_DIR/usr/local/nvm
OMPI_MCA_coll_hcoll_enable0
OPAL_PREFIX/opt/hpcx/ompi
OPENMPI_VERSION4.1.2rc4
OPENUCX_VERSION1.12.0
PATH/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/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/tensorrt/bin:/opt/tools:/opt/tools/ngc-cli:/opt/tools
PYTHONIOENCODINGutf-8
PYTORCH_BUILD_NUMBER0
PYTORCH_BUILD_VERSION1.13.0a0+d321be6
PYTORCH_HOME/opt/pytorch/pytorch
PYTORCH_VERSION1.13.0a0+d321be6
RDMACORE_VERSION36.0
SHELL/bin/bash
TENSORBOARD_PORT6006
TORCH_ALLOW_TF32_CUBLAS_OVERRIDE1
TORCH_CUDA_ARCH_LIST5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX
TORCH_CUDNN_V8_API_ENABLED0
TRTOSS_VERSION22.08
TRT_VERSION8.4.2.4+cuda11.6.2.010
USE_EXPERIMENTAL_CUDNN_V8_API1
_CUDA_COMPAT_PATH/usr/local/cuda/compat
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History
/bin/sh -c #(nop) ADD file:af4cf77e6818016b697a1491101b40c71d06529ced65f36107749f099d6d4bdc in /
2022-08-02 01:30:49 UTC/bin/sh -c #(nop) CMD ["bash"]
2022-08-02 16:55:21 UTC (buildkit.dockerfile.v0)RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y --no-install-recommends apt-utils build-essential ca-certificates curl libncurses5 libncursesw5 patch wget rsync jq gnupg libtcmalloc-minimal4 # buildkit
2022-08-02 16:55:32 UTC (buildkit.dockerfile.v0)ARG CUDA_VERSION
2022-08-02 16:55:32 UTC (buildkit.dockerfile.v0)ARG CUDA_DRIVER_VERSION
2022-08-02 16:55:32 UTC (buildkit.dockerfile.v0)ENV CUDA_VERSION=11.7.1.017 CUDA_DRIVER_VERSION=515.65.01 CUDA_CACHE_DISABLE=1
2022-08-02 16:55:32 UTC (buildkit.dockerfile.v0)RUN |2 CUDA_VERSION=11.7.1.017 CUDA_DRIVER_VERSION=515.65.01 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)RUN |2 CUDA_VERSION=11.7.1.017 CUDA_DRIVER_VERSION=515.65.01 /bin/sh -c cp -vprd /nvidia/. / && patch -p0 < /etc/startup_scripts.patch && rm -f /etc/startup_scripts.patch # buildkit
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)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
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG NCCL_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUBLAS_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUFFT_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CURAND_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUSPARSE_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUSOLVER_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUTENSOR_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG NPP_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG NVJPEG_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG CUDNN_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG TRT_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG TRTOSS_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG NSIGHT_SYSTEMS_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ARG NSIGHT_COMPUTE_VERSION
2022-08-02 16:55:33 UTC (buildkit.dockerfile.v0)ENV NCCL_VERSION=2.12.12 CUBLAS_VERSION=11.10.3.66 CUFFT_VERSION=10.7.2.91 CURAND_VERSION=10.2.10.91 CUSPARSE_VERSION=11.7.4.91 CUSOLVER_VERSION=11.4.0.1 CUTENSOR_VERSION=1.6.0.2 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.5.0.96 TRT_VERSION=8.4.2.4+cuda11.6.2.010 TRTOSS_VERSION=22.08 NSIGHT_SYSTEMS_VERSION=2022.1.3.18 NSIGHT_COMPUTE_VERSION=2022.2.1.3
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)RUN |16 CUDA_VERSION=11.7.1.017 CUDA_DRIVER_VERSION=515.65.01 NCCL_VERSION=2.12.12 CUBLAS_VERSION=11.10.3.66 CUFFT_VERSION=10.7.2.91 CURAND_VERSION=10.2.10.91 CUSPARSE_VERSION=11.7.4.91 CUSOLVER_VERSION=11.4.0.1 CUTENSOR_VERSION=1.6.0.2 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.5.0.96 TRT_VERSION=8.4.2.4+cuda11.6.2.010 TRTOSS_VERSION=22.08 NSIGHT_SYSTEMS_VERSION=2022.1.3.18 NSIGHT_COMPUTE_VERSION=2022.2.1.3 /bin/sh -c /nvidia/build-scripts/installNCCL.sh && /nvidia/build-scripts/installLIBS.sh && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUTENSOR.sh # buildkit
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)LABEL com.nvidia.nccl.version=2.12.12 com.nvidia.cublas.version=11.10.3.66 com.nvidia.cufft.version=10.7.2.91 com.nvidia.curand.version=10.2.10.91 com.nvidia.cusparse.version=11.7.4.91 com.nvidia.cusolver.version=11.4.0.1 com.nvidia.cutensor.version=1.6.0.2 com.nvidia.npp.version=11.7.4.75 com.nvidia.nvjpeg.version=11.8.0.2 com.nvidia.cudnn.version=8.5.0.96 com.nvidia.tensorrt.version=8.4.2.4+cuda11.6.2.010 com.nvidia.tensorrtoss.version=22.08 com.nvidia.nsightsystems.version=2022.1.3.18 com.nvidia.nsightcompute.version=2022.2.1.3
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)ARG DALI_VERSION
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)ARG DALI_BUILD
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)ARG DLPROF_VERSION
2022-08-04 04:12:14 UTC (buildkit.dockerfile.v0)ENV DALI_VERSION=1.16.0 DALI_BUILD=5322998 DLPROF_VERSION=
2022-08-04 04:12:15 UTC (buildkit.dockerfile.v0)ADD docs.tgz / # buildkit
2022-08-04 04:12:15 UTC (buildkit.dockerfile.v0)RUN |19 CUDA_VERSION=11.7.1.017 CUDA_DRIVER_VERSION=515.65.01 NCCL_VERSION=2.12.12 CUBLAS_VERSION=11.10.3.66 CUFFT_VERSION=10.7.2.91 CURAND_VERSION=10.2.10.91 CUSPARSE_VERSION=11.7.4.91 CUSOLVER_VERSION=11.4.0.1 CUTENSOR_VERSION=1.6.0.2 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.5.0.96 TRT_VERSION=8.4.2.4+cuda11.6.2.010 TRTOSS_VERSION=22.08 NSIGHT_SYSTEMS_VERSION=2022.1.3.18 NSIGHT_COMPUTE_VERSION=2022.2.1.3 DALI_VERSION=1.16.0 DALI_BUILD=5322998 DLPROF_VERSION= /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
2022-08-04 04:12:15 UTC (buildkit.dockerfile.v0)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
2022-08-04 04:12:16 UTC (buildkit.dockerfile.v0)COPY entrypoint/ /opt/nvidia/ # buildkit
2022-08-04 04:12:16 UTC (buildkit.dockerfile.v0)ENV NVIDIA_PRODUCT_NAME=CUDA
2022-08-04 04:12:16 UTC (buildkit.dockerfile.v0)ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
2022-08-04 04:12:17 UTC (buildkit.dockerfile.v0)COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit
2022-08-04 04:24:57 UTC (buildkit.dockerfile.v0)RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive && apt-get update && apt-get install -y --no-install-recommends build-essential git libglib2.0-0 less libnl-route-3-200 libnl-3-dev libnl-route-3-dev libnuma-dev libnuma1 libpmi2-0-dev nano numactl openssh-client vim wget && rm -rf /var/lib/apt/lists/* # buildkit
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG GDRCOPY_VERSION
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG HPCX_VERSION
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG RDMACORE_VERSION
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG MOFED_VERSION=5.4-rdmacore36.0
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG OPENUCX_VERSION
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG OPENMPI_VERSION
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ENV GDRCOPY_VERSION=2.3 HPCX_VERSION=2.10 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.12.0 OPENMPI_VERSION=4.1.2rc4 RDMACORE_VERSION=36.0
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ARG TARGETARCH
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.10 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.12.0 OPENMPI_VERSION=4.1.2rc4 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/^\(btl = self\)$/#\1/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf ) && ldconfig # buildkit
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin
2022-08-04 04:25:02 UTC (buildkit.dockerfile.v0)ENV OMPI_MCA_coll_hcoll_enable=0
2022-08-04 04:25:03 UTC (buildkit.dockerfile.v0)COPY cuda-*.patch /tmp # buildkit
2022-08-04 04:28:14 UTC (buildkit.dockerfile.v0)RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.10 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.12.0 OPENMPI_VERSION=4.1.2rc4 TARGETARCH=amd64 /bin/sh -c export DEVEL=1 BASE=0 && /nvidia/build-scripts/installNCU.sh && /nvidia/build-scripts/installCUDA.sh && /nvidia/build-scripts/installLIBS.sh && /nvidia/build-scripts/installNCCL.sh && /nvidia/build-scripts/installCUDNN.sh && /nvidia/build-scripts/installCUTENSOR.sh && /nvidia/build-scripts/installTRT.sh && /nvidia/build-scripts/installNSYS.sh && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi && rm -f /tmp/cuda-*.patch # buildkit
2022-08-04 04:28:14 UTC (buildkit.dockerfile.v0)ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
2022-08-04 04:28:14 UTC (buildkit.dockerfile.v0)RUN |7 GDRCOPY_VERSION=2.3 HPCX_VERSION=2.10 RDMACORE_VERSION=36.0 MOFED_VERSION=5.4-rdmacore36.0 OPENUCX_VERSION=1.12.0 OPENMPI_VERSION=4.1.2rc4 TARGETARCH=amd64 /bin/sh -c if [[ "$CUDA_VERSION" == "11.2.1.007" && $(dpkg --print-architecture) == "amd64" ]]; then wget http://sqrl.nvidia.com/dldata/sgodithi/bug3254800/cicc >/dev/null 2>&1 && cp cicc /usr/local/cuda/nvvm/bin/. ; fi # buildkit
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ENV NVIDIA_PRODUCT_NAME=PyTorch
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ARG NVIDIA_PYTORCH_VERSION
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ARG PYTORCH_BUILD_VERSION
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ENV PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 PYTORCH_VERSION=1.13.0a0+d321be6 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=22.08
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)LABEL com.nvidia.pytorch.version=1.13.0a0+d321be6
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ARG TARGETARCH
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)RUN |3 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends autoconf automake libatlas-base-dev libgoogle-glog-dev libbz2-dev libleveldb-dev liblmdb-dev libprotobuf-dev libsnappy-dev libtool nasm protobuf-compiler pkg-config unzip sox libsndfile1 libpng-dev libhdf5-103 libhdf5-dev && rm -rf /var/lib/apt/lists/* # buildkit
2022-08-04 05:15:03 UTC (buildkit.dockerfile.v0)ARG PYVER=3.8
2022-08-04 05:22:43 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c wget -O ~/miniforge.sh https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-$(uname -m).sh && chmod +x ~/miniforge.sh && ~/miniforge.sh -b -p /opt/conda && rm ~/miniforge.sh && /opt/conda/bin/conda install -y python=$PYVER pip==21.2.4 cmake conda-build setuptools==59.5.0 numpy==1.22.4 pyyaml scipy==1.6.3 ipython ninja spacy mock numba==0.53.1 openblas!=0.3.6 && if [[ $TARGETARCH = "amd64" ]] ; then /opt/conda/bin/conda install -y mkl==2020.4 mkl-include==2020.4 ; fi && if [[ $TARGETARCH = "amd64" ]] ; then export LIBRARY_PATH=/opt/conda/lib:$LIBRARY_PATH ; fi && /opt/conda/bin/conda clean -ya # buildkit
2022-08-04 05:22:43 UTC (buildkit.dockerfile.v0)ENV PATH=/opt/conda/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
2022-08-04 05:22:48 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install hypothesis==4.50.8 # buildkit
2022-08-04 05:22:50 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install tqdm --upgrade # buildkit
2022-08-04 05:22:53 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir protobuf==3.20.1 # buildkit
2022-08-04 05:22:53 UTC (buildkit.dockerfile.v0)WORKDIR /opt/pytorch
2022-08-04 05:23:02 UTC (buildkit.dockerfile.v0)COPY . . # buildkit
2022-08-04 05:26:50 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c OPENCV_VERSION=3.4.11 && cd / && wget -q -O - https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - && cd /opencv-${OPENCV_VERSION} && mkdir build && cd build && cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr -DWITH_CUDA=OFF -DWITH_1394=OFF -DPYTHON3_PACKAGES_PATH=$(python -c "from distutils.sysconfig import *; print(get_python_lib())") -DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF -DWITH_IPP=OFF -DWITH_PROTOBUF=OFF .. && make -j"$(nproc)" install && rm -rf /opencv-${OPENCV_VERSION} # buildkit
2022-08-04 05:27:48 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c git config --global url."https://github".insteadOf git://github && pip install --no-cache-dir -r text/requirements.txt && pip install --no-cache-dir -r caffe2_requirements.txt && pip install --no-cache-dir notebook==6.4.10 jupyterlab==2.3.2 python-hostlist # buildkit
2022-08-04 05:27:57 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir tensorboard # buildkit
2022-08-04 05:27:58 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c PATCHED_FILE=$(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
2022-08-04 05:27:58 UTC (buildkit.dockerfile.v0)ENV NVM_DIR=/usr/local/nvm
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir git+https://github.com/cliffwoolley/jupyter_tensorboard.git@0.2.0+nv21.03 && mkdir -p $NVM_DIR && curl -Lo- https://raw.githubusercontent.com/nvm-sh/nvm/v0.38.0/install.sh | bash && source "$NVM_DIR/nvm.sh" && nvm install 16.15.1 node && jupyter labextension install jupyterlab_tensorboard && jupyter serverextension enable jupyterlab && pip install --no-cache-dir jupytext && jupyter labextension install jupyterlab-jupytext@1.2.2 && ( cd /opt/conda/share/jupyter/lab/staging && npm prune --production ) && npm cache clean --force && rm -rf /usr/local/share/.cache && echo "source $NVM_DIR/nvm.sh" >> /etc/bash.bashrc && mv /root/.jupyter/jupyter_notebook_config.json /opt/conda/etc/jupyter/ && jupyter lab clean # buildkit
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)COPY jupyter_notebook_config.py /opt/conda/etc/jupyter/ # buildkit
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)ENV JUPYTER_PORT=8888
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)ENV TENSORBOARD_PORT=6006
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)EXPOSE map[8888/tcp:{}]
2022-08-04 05:31:46 UTC (buildkit.dockerfile.v0)EXPOSE map[6006/tcp:{}]
2022-08-04 05:42:47 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd magma-cuda && cmake -H. -Bbuild -DUSE_FORTRAN=OFF -DGPU_TARGET="All" -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-fPIC" -DCMAKE_C_FLAGS="-fPIC" -DCUDA_NVCC_FLAGS="-Xfatbin;-compress-all;-DHAVE_CUBLAS;-std=c++11;--threads=0;" -GNinja && cmake --build build --target install && rm -r ./build # buildkit
2022-08-04 05:42:50 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir typing_extensions # buildkit
2022-08-04 05:43:00 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir "librosa>=0.6.2" # buildkit
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir expecttest # buildkit
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)ENV CUDA_HOME=/usr/local/cuda
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)ENV PYTORCH_HOME=/opt/pytorch/pytorch
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
2022-08-04 05:43:03 UTC (buildkit.dockerfile.v0)ENV USE_EXPERIMENTAL_CUDNN_V8_API=1
2022-08-04 06:40:41 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c cd pytorch && CFLAGS="-g0" USE_CUPTI_SO=1 USE_KINETO=1 CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" NCCL_INCLUDE_DIR="/usr/include/" NCCL_LIB_DIR="/usr/lib/" USE_SYSTEM_NCCL=1 CFLAGS='-fno-gnu-unique' python setup.py install && python setup.py clean # buildkit
2022-08-04 06:41:01 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c if dpkg --compare-versions ${DALI_VERSION} lt 0.23; then DALI_URL_SUFFIX="/cuda/${CUDA_VERSION%%.*}.0"; else DALI_PKG_SUFFIX="-cuda${CUDA_VERSION%%.*}0"; fi && pip install --no-cache-dir --extra-index-url https://developer.download.nvidia.com/compute/redist --extra-index-url http://sqrl/dldata/pip-dali${DALI_URL_SUFFIX:-} --trusted-host sqrl nvidia-dali${DALI_PKG_SUFFIX:-}==${DALI_VERSION} # buildkit
2022-08-04 06:41:01 UTC (buildkit.dockerfile.v0)ENV COCOAPI_VERSION=2.0+nv0.6.1
2022-08-04 06:41:26 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//') && pip install --no-cache-dir cython pybind11 && pip install --no-cache-dir git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
2022-08-04 06:41:27 UTC (buildkit.dockerfile.v0)COPY singularity/ /.singularity.d/ # buildkit
2022-08-04 07:35:41 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c ( cd vision && CFLAGS="-g0" FORCE_CUDA=1 pip install --no-cache-dir --no-build-isolation --disable-pip-version-check . ) && ( cd vision && mkdir build && cd build && cmake -DWITH_CUDA=1 -DCMAKE_PREFIX_PATH=`python -c 'import torch;print(torch.utils.cmake_prefix_path)'` .. && make && make install ) && ( cd apex && CFLAGS="-g0" pip install --no-cache-dir --disable-pip-version-check --global-option="--cpp_ext" --global-option="--cuda_ext" --global-option="--bnp" --global-option="--xentropy" --global-option="--deprecated_fused_adam" --global-option="--deprecated_fused_lamb" --global-option="--fast_multihead_attn" --global-option="--distributed_lamb" --global-option="--fast_layer_norm" --global-option="--transducer" --global-option="--distributed_adam" --global-option="--fmha" --global-option="--fast_bottleneck" --global-option="--nccl_p2p" --global-option="--peer_memory" --global-option="--permutation_search" --global-option="--focal_loss" --global-option="--fused_conv_bias_relu" --global-option="--index_mul_2d" --global-option="--cudnn_gbn" . ) && ( cd text && python setup.py install && python setup.py clean) && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-cache-dir --disable-pip-version-check . ) # buildkit
2022-08-04 07:36:18 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip uninstall -y pillow && cd /tmp && git clone https://github.com/uploadcare/pillow-simd && cd pillow-simd && git fetch --all --tags --prune && git checkout tags/9.0.1 && sed -i 's/DEBUG = False/DEBUG = True/' setup.py && if [[ $TARGETARCH = "amd64" ]] ; then CC="cc -mavx" pip install --no-cache-dir --disable-pip-version-check . ; fi && if [[ $TARGETARCH = "arm64" ]] ; then pip install --no-cache-dir --disable-pip-version-check . ; fi && rm -rf ../pillow-simd # buildkit
2022-08-04 07:38:08 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c export LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}$CUDA_HOME/lib:$CUDA_HOME/lib64" && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/RAFT-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUMLPRIMS_MG-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUML-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUGRAPH-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUGRAPH_OPS-*.tar.gz && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/CUDF-*.tar.gz && tar --exclude="*.a" --exclude="bin/xgboost" -C /opt/conda --strip-components=1 -xf /rapids/xgboost-*.tar.gz && pip install --no-cache-dir --ignore-installed llvmlite && CPATH="${CPATH}:/usr/local/cuda-${CUDA_VERSION%.*.*}/targets/sbsa-linux/include/" pip install --no-cache-dir /rapids/cuda_python-*.whl /rapids/cupy_cuda*.whl /rapids/dask-*.whl /rapids/distributed*.whl /rapids/dask_cuda*.whl /rapids/treelite* /rapids/scikit_learn*.whl /rapids/rmm*.whl /rapids/pyarrow-*.whl /rapids/ucx_py-*.whl /rapids/cuml-*.whl /rapids/cugraph-*.whl /rapids/cudf-*.whl /rapids/dask_cudf-*.whl /rapids/raft-*.whl /rapids/xgboost-*.whl /rapids/pylibcugraph-*.whl networkx==2.6.3 && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so # buildkit
2022-08-04 07:38:08 UTC (buildkit.dockerfile.v0)ENV PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8
2022-08-04 07:38:08 UTC (buildkit.dockerfile.v0)WORKDIR /workspace
2022-08-04 07:38:08 UTC (buildkit.dockerfile.v0)COPY NVREADME.md README.md # buildkit
2022-08-04 07:38:09 UTC (buildkit.dockerfile.v0)COPY docker-examples docker-examples # buildkit
2022-08-04 07:38:10 UTC (buildkit.dockerfile.v0)COPY examples examples # buildkit
2022-08-04 07:38:11 UTC (buildkit.dockerfile.v0)COPY tutorials tutorials # buildkit
2022-08-04 07:38:13 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c chmod -R a+w . # buildkit
2022-08-04 07:38:53 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)tar.*$/\1/p")tar && FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) && wget --quiet $URL/$FILE -O - | tar -xz && PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))') && pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl && pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl && pip install TensorRT-*/uff/uff-*.whl && mv /usr/src/tensorrt /opt && ln -s /opt/tensorrt /usr/src/tensorrt && rm -r TensorRT-* && UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff && sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/' $UFF_PATH/converters/tensorflow/conversion_helpers.py && chmod +x ${UFF_PATH}/bin/convert_to_uff.py && ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff # buildkit
2022-08-04 07:38:53 UTC (buildkit.dockerfile.v0)ENV PATH=/opt/conda/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/tensorrt/bin
2022-08-04 07:39:09 UTC (buildkit.dockerfile.v0)RUN |4 NVIDIA_PYTORCH_VERSION=22.08 PYTORCH_BUILD_VERSION=1.13.0a0+d321be6 TARGETARCH=amd64 PYVER=3.8 /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==0.33.0 && if [[ $TARGETARCH = "amd64" ]] ; then pip install --extra-index-url http://sqrl/dldata/pip-simple --trusted-host sqrl --no-cache-dir pytorch-quantization==2.1.2; fi # buildkit
2022-08-04 07:39:12 UTC (buildkit.dockerfile.v0)COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
2022-08-04 07:39:12 UTC (buildkit.dockerfile.v0)ARG PYVER
2022-08-04 07:45:05 UTC (buildkit.dockerfile.v0)RUN |1 PYVER=3.8 /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/py/dist/*.whl # buildkit
2022-08-04 07:45:05 UTC (buildkit.dockerfile.v0)ENV LD_LIBRARY_PATH=/opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2022-08-04 07:45:05 UTC (buildkit.dockerfile.v0)ENV PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/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/tensorrt/bin
2022-08-04 07:45:05 UTC (buildkit.dockerfile.v0)ENV TORCH_CUDNN_V8_API_ENABLED=0
2022-08-04 07:45:05 UTC (buildkit.dockerfile.v0)ENV CUDA_MODULE_LOADING=LAZY
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)RUN |1 PYVER=3.8 /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
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)ARG NVIDIA_BUILD_ID
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)ENV NVIDIA_BUILD_ID=42105213
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)LABEL com.nvidia.build.id=42105213
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)ARG NVIDIA_BUILD_REF
2022-08-04 07:45:07 UTC (buildkit.dockerfile.v0)LABEL com.nvidia.build.ref=77ddbc1eeb37f30914b0f15067f584147275477b
2022-09-14 11:10:01 UTC/bin/sh -c #(nop) LABEL maintainer=monai.contact@gmail.com
2022-09-14 11:10:10 UTC/bin/sh -c #(nop) WORKDIR /opt/monai
2022-09-14 11:10:20 UTC/bin/sh -c #(nop) COPY multi:6ec79e9473754d2310927887007c06169de485d229e28e59c15a0a70c8a5fb93 in /tmp/
2022-09-14 11:12:40 UTC/bin/sh -c cp /tmp/requirements.txt /tmp/req.bak && awk '!/torch/' /tmp/requirements.txt > /tmp/tmp && mv /tmp/tmp /tmp/requirements.txt && python -m pip install --upgrade --no-cache-dir pip && python -m pip install --no-cache-dir -r /tmp/requirements-dev.txt
2022-09-14 11:12:52 UTC/bin/sh -c #(nop) COPY multi:16588ea2461de570835f92e3fc955151926f4fb6e7413df4b83cd39fa5763d86 in ./
2022-09-14 11:13:03 UTC/bin/sh -c #(nop) COPY dir:f4c73dd48052e8fd7d833d18e684be0f57ba1069d54e328899b3669a969ab760 in ./tests
2022-09-14 11:13:14 UTC/bin/sh -c #(nop) COPY dir:fff3940dc52700773209d9413c2086b7e1f272827f87342f3c5ad6e925e5c6a7 in ./monai
2022-09-14 11:49:11 UTC/bin/sh -c BUILD_MONAI=1 FORCE_CUDA=1 python setup.py develop && rm -rf build __pycache__
2022-09-14 11:49:22 UTC/bin/sh -c #(nop) WORKDIR /opt/tools
2022-09-14 11:49:33 UTC/bin/sh -c #(nop) ARG NGC_CLI_URI=https://ngc.nvidia.com/downloads/ngccli_linux.zip
2022-09-14 11:49:48 UTC|1 NGC_CLI_URI=https://ngc.nvidia.com/downloads/ngccli_linux.zip /bin/sh -c wget -q ${NGC_CLI_URI} && unzip ngccli_linux.zip && chmod u+x ngc-cli/ngc && find ngc-cli/ -type f -exec md5sum {} + | LC_ALL=C sort | md5sum -c ngc-cli.md5 && rm -rf ngccli_linux.zip ngc-cli.md5
2022-09-14 11:49:59 UTC/bin/sh -c #(nop) ENV PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/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/tensorrt/bin:/opt/tools:/opt/tools/ngc-cli
2022-09-14 11:50:26 UTC|1 NGC_CLI_URI=https://ngc.nvidia.com/downloads/ngccli_linux.zip /bin/sh -c apt-get update && DEBIAN_FRONTEND="noninteractive" apt-get install -y libopenslide0 && rm -rf /var/lib/apt/lists/*
2022-09-14 11:50:37 UTC/bin/sh -c #(nop) ENV PATH=/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/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/tensorrt/bin:/opt/tools:/opt/tools/ngc-cli:/opt/tools
2022-09-14 11:50:49 UTC/bin/sh -c #(nop) WORKDIR /opt/monai
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