Namespace
projectmonai
Image / Tag
monai:0.9.1rc1
Content Digest
sha256:61aae608b5e2fd0b1ff227f908b0e0cdbb38442c5a39ace078addf622fa01ee8
Details
Created

2022-07-05 14:51:18 UTC

Size

6.87 GB

Content Digest
Labels
  • com.nvidia.build.id
    39176199
  • com.nvidia.build.ref
    724e37aef5c83f96ed3ead75ab8cbd5d8fc3a7e9
  • com.nvidia.cublas.version
    11.10.3.66
  • com.nvidia.cuda.version
    9.0
  • com.nvidia.cudnn.version
    8.4.1.50+cuda11.6
  • com.nvidia.cufft.version
    10.7.2.91
  • com.nvidia.curand.version
    10.2.10.91
  • com.nvidia.cusolver.version
    11.4.0.1
  • com.nvidia.cusparse.version
    11.7.4.91
  • com.nvidia.cutensor.version
    1.5.0.3
  • com.nvidia.nccl.version
    2.12.12
  • com.nvidia.npp.version
    11.7.4.75
  • com.nvidia.nsightcompute.version
    2022.2.1.3
  • com.nvidia.nsightsystems.version
    2022.1.3.3
  • com.nvidia.nvjpeg.version
    11.8.0.2
  • com.nvidia.pytorch.version
    1.13.0a0+340c412
  • com.nvidia.tensorrt.version
    8.2.5.1+cuda11.4.2.006
  • com.nvidia.tensorrtoss.version
    22.05
  • com.nvidia.volumes.needed
    nvidia_driver
  • maintainer
    monai.contact@gmail.com

Environment
BASH_ENV

/etc/bash.bashrc

COCOAPI_VERSION

2.0+nv0.6.1

CUBLAS_VERSION

11.10.3.66

CUDA_CACHE_DISABLE

1

CUDA_DRIVER_VERSION

515.48.08

CUDA_HOME

/usr/local/cuda

CUDA_VERSION

11.7.1.014

CUDNN_V8_API_ENABLED

0

CUDNN_VERSION

8.4.1.50+cuda11.6

CUFFT_VERSION

10.7.2.91

CURAND_VERSION

10.2.10.91

CUSOLVER_VERSION

11.4.0.1

CUSPARSE_VERSION

11.7.4.91

CUTENSOR_VERSION

1.5.0.3

DALI_BUILD

4921308

DALI_VERSION

1.14.0

DLPROF_VERSION

ENV

/etc/shinit_v2

GDRCOPY_VERSION

2.3

HPCX_VERSION

2.10

JUPYTER_PORT

8888

LC_ALL

C.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_VERSION

5.4-rdmacore36.0

NCCL_VERSION

2.12.12

NPP_VERSION

11.7.4.75

NSIGHT_COMPUTE_VERSION

2022.2.1.3

NSIGHT_SYSTEMS_VERSION

2022.1.3.3

NVIDIA_BUILD_ID

39176199

NVIDIA_DRIVER_CAPABILITIES

compute,utility,video

NVIDIA_PRODUCT_NAME

PyTorch

NVIDIA_PYTORCH_VERSION

22.06

NVIDIA_REQUIRE_CUDA

cuda>=9.0

NVIDIA_VISIBLE_DEVICES

all

NVJPEG_VERSION

11.8.0.2

NVM_DIR

/usr/local/nvm

OMPI_MCA_coll_hcoll_enable

0

OPAL_PREFIX

/opt/hpcx/ompi

OPENMPI_VERSION

4.1.2rc4

OPENUCX_VERSION

1.12.0

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

PYTHONIOENCODING

utf-8

PYTORCH_BUILD_NUMBER

0

PYTORCH_BUILD_VERSION

1.13.0a0+340c412

PYTORCH_HOME

/opt/pytorch/pytorch

PYTORCH_VERSION

1.13.0a0+340c412

RDMACORE_VERSION

36.0

SHELL

/bin/bash

TENSORBOARD_PORT

6006

TORCH_ALLOW_TF32_CUBLAS_OVERRIDE

1

TORCH_CUDA_ARCH_LIST

5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX

TRTOSS_VERSION

22.05

TRT_VERSION

8.2.5.1+cuda11.4.2.006

USE_EXPERIMENTAL_CUDNN_V8_API

1

_CUDA_COMPAT_PATH

/usr/local/cuda/compat


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History
2022-06-06 22:21:11 UTC

/bin/sh -c #(nop) ADD file:00dae10e79b05c4e1a3db053a1f85a4f38a39fe85cbbd88d74201a01a7dd59b5 in /

2022-06-06 22:21:12 UTC

/bin/sh -c #(nop) CMD ["bash"]

2022-06-07 23:45:39 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

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUDA_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUDA_DRIVER_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ENV CUDA_VERSION=11.7.1.014 CUDA_DRIVER_VERSION=515.48.08 CUDA_CACHE_DISABLE=1

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

RUN |2 CUDA_VERSION=11.7.1.014 CUDA_DRIVER_VERSION=515.48.08 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

RUN |2 CUDA_VERSION=11.7.1.014 CUDA_DRIVER_VERSION=515.48.08 /bin/sh -c cp -vprd /nvidia/. / && patch -p0 < /etc/startup_scripts.patch && rm -f /etc/startup_scripts.patch # buildkit

2022-06-13 23:52:23 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

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG NCCL_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUBLAS_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUFFT_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CURAND_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUSPARSE_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUSOLVER_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUTENSOR_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG NPP_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG NVJPEG_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG CUDNN_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG TRT_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG TRTOSS_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG NSIGHT_SYSTEMS_VERSION

2022-06-13 23:52:23 UTC (buildkit.dockerfile.v0)

ARG NSIGHT_COMPUTE_VERSION

2022-06-13 23:52:23 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=1.5.0.3 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.4.1.50+cuda11.6 TRT_VERSION=8.2.5.1+cuda11.4.2.006 TRTOSS_VERSION=22.05 NSIGHT_SYSTEMS_VERSION=2022.1.3.3 NSIGHT_COMPUTE_VERSION=2022.2.1.3

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

RUN |16 CUDA_VERSION=11.7.1.014 CUDA_DRIVER_VERSION=515.48.08 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=1.5.0.3 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.4.1.50+cuda11.6 TRT_VERSION=8.2.5.1+cuda11.4.2.006 TRTOSS_VERSION=22.05 NSIGHT_SYSTEMS_VERSION=2022.1.3.3 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

2022-06-13 23:55:51 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=1.5.0.3 com.nvidia.npp.version=11.7.4.75 com.nvidia.nvjpeg.version=11.8.0.2 com.nvidia.cudnn.version=8.4.1.50+cuda11.6 com.nvidia.tensorrt.version=8.2.5.1+cuda11.4.2.006 com.nvidia.tensorrtoss.version=22.05 com.nvidia.nsightsystems.version=2022.1.3.3 com.nvidia.nsightcompute.version=2022.2.1.3

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

ARG DALI_VERSION

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

ARG DALI_BUILD

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

ARG DLPROF_VERSION

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

ENV DALI_VERSION=1.14.0 DALI_BUILD=4921308 DLPROF_VERSION=

2022-06-13 23:55:51 UTC (buildkit.dockerfile.v0)

ADD docs.tgz / # buildkit

2022-06-13 23:55:52 UTC (buildkit.dockerfile.v0)

RUN |19 CUDA_VERSION=11.7.1.014 CUDA_DRIVER_VERSION=515.48.08 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=1.5.0.3 NPP_VERSION=11.7.4.75 NVJPEG_VERSION=11.8.0.2 CUDNN_VERSION=8.4.1.50+cuda11.6 TRT_VERSION=8.2.5.1+cuda11.4.2.006 TRTOSS_VERSION=22.05 NSIGHT_SYSTEMS_VERSION=2022.1.3.3 NSIGHT_COMPUTE_VERSION=2022.2.1.3 DALI_VERSION=1.14.0 DALI_BUILD=4921308 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

2022-06-13 23:55:52 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

2022-06-13 23:55:52 UTC (buildkit.dockerfile.v0)

COPY entrypoint/ /opt/nvidia/ # buildkit

2022-06-13 23:55:52 UTC (buildkit.dockerfile.v0)

ENV NVIDIA_PRODUCT_NAME=CUDA

2022-06-13 23:55:52 UTC (buildkit.dockerfile.v0)

ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]

2022-06-13 23:55:52 UTC (buildkit.dockerfile.v0)

COPY NVIDIA_Deep_Learning_Container_License.pdf /workspace/ # buildkit

2022-06-14 00:06:02 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

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG GDRCOPY_VERSION

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG HPCX_VERSION

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG RDMACORE_VERSION

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG MOFED_VERSION=5.4-rdmacore36.0

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG OPENUCX_VERSION

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG OPENMPI_VERSION

2022-06-14 00:06:03 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

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ARG TARGETARCH

2022-06-14 00:06:03 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

2022-06-14 00:06:03 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

2022-06-14 00:06:03 UTC (buildkit.dockerfile.v0)

ENV OMPI_MCA_coll_hcoll_enable=0

2022-06-14 00:06:04 UTC (buildkit.dockerfile.v0)

COPY cuda-*.patch /tmp # buildkit

2022-06-14 00:09:17 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

2022-06-14 00:09:17 UTC (buildkit.dockerfile.v0)

ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:

2022-06-14 00:09:17 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

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ENV NVIDIA_PRODUCT_NAME=PyTorch

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ARG NVIDIA_PYTORCH_VERSION

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ARG PYTORCH_BUILD_VERSION

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ENV PYTORCH_BUILD_VERSION=1.13.0a0+340c412 PYTORCH_VERSION=1.13.0a0+340c412 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=22.06

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

LABEL com.nvidia.pytorch.version=1.13.0a0+340c412

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ARG TARGETARCH

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

RUN |3 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 02:16:27 UTC (buildkit.dockerfile.v0)

ARG PYVER=3.8

2022-06-14 02:23:06 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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 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

2022-06-14 02:23:06 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

2022-06-14 02:23:10 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install hypothesis==4.50.8 # buildkit

2022-06-14 02:23:12 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install tqdm --upgrade # buildkit

2022-06-14 02:23:15 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir protobuf==3.20.1 # buildkit

2022-06-14 02:23:15 UTC (buildkit.dockerfile.v0)

WORKDIR /opt/pytorch

2022-06-14 02:23:24 UTC (buildkit.dockerfile.v0)

COPY . . # buildkit

2022-06-14 02:27:09 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 02:28:01 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 02:28:09 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir tensorboard # buildkit

2022-06-14 02:28:10 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 02:28:10 UTC (buildkit.dockerfile.v0)

ENV NVM_DIR=/usr/local/nvm

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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 16.15.0 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

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

COPY jupyter_notebook_config.py /opt/conda/etc/jupyter/ # buildkit

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

ENV JUPYTER_PORT=8888

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

ENV TENSORBOARD_PORT=6006

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

EXPOSE map[8888/tcp:{}]

2022-06-14 02:31:36 UTC (buildkit.dockerfile.v0)

EXPOSE map[6006/tcp:{}]

2022-06-14 02:42:26 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 02:42:29 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir typing_extensions # buildkit

2022-06-14 02:42:39 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir "librosa>=0.6.2,<0.9.0" # buildkit

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c pip install --no-cache-dir expecttest # buildkit

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV TORCH_CUDA_ARCH_LIST=5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV CUDA_HOME=/usr/local/cuda

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV PYTORCH_HOME=/opt/pytorch/pytorch

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV USE_EXPERIMENTAL_CUDNN_V8_API=1

2022-06-14 02:42:41 UTC (buildkit.dockerfile.v0)

ENV CUDNN_V8_API_ENABLED=0

2022-06-14 03:44:36 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 03:44:53 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 03:44:53 UTC (buildkit.dockerfile.v0)

ENV COCOAPI_VERSION=2.0+nv0.6.1

2022-06-14 03:45:16 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 03:45:17 UTC (buildkit.dockerfile.v0)

COPY singularity/ /.singularity.d/ # buildkit

2022-06-14 04:35:01 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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" . ) && ( 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

2022-06-14 04:35:36 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 04:37:07 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c if [ "${TARGETARCH}" = "amd64" ] ; then export LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+$LD_LIBRARY_PATH:}$CUDA_HOME/lib:$CUDA_HOME/lib64" && tar --exclude="*.a" -C /usr --strip-components=1 -xf /rapids/RMM-*.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" -C /usr --strip-components=1 -xf /rapids/RAFT*.tar.gz && tar --exclude="*.a" --exclude="bin/xgboost" -C /opt/conda --strip-components=1 -xf /rapids/xgboost-*.tar.gz && pip install --no-cache-dir /rapids/cupy_cuda*.whl /rapids/dask-*.whl /rapids/distributed*.whl /rapids/dask_cuda*.whl /rapids/treelite*.whl /rapids/scikit_learn*.whl /rapids/treelite_runtime*.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 networkx==2.6.3 && rm $(pip show xgboost | grep Location | awk '{print $2}')/xgboost/lib/libxgboost.so; fi # buildkit

2022-06-14 04:37:07 UTC (buildkit.dockerfile.v0)

ENV PYTHONIOENCODING=utf-8 LC_ALL=C.UTF-8

2022-06-14 04:37:07 UTC (buildkit.dockerfile.v0)

WORKDIR /workspace

2022-06-14 04:37:08 UTC (buildkit.dockerfile.v0)

COPY NVREADME.md README.md # buildkit

2022-06-14 04:37:08 UTC (buildkit.dockerfile.v0)

COPY docker-examples docker-examples # buildkit

2022-06-14 04:37:09 UTC (buildkit.dockerfile.v0)

COPY examples examples # buildkit

2022-06-14 04:37:11 UTC (buildkit.dockerfile.v0)

COPY tutorials tutorials # buildkit

2022-06-14 04:37:14 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 TARGETARCH=amd64 PYVER=3.8 /bin/sh -c chmod -R a+w . # buildkit

2022-06-14 04:37:55 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 04:37:55 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

2022-06-14 04:38:11 UTC (buildkit.dockerfile.v0)

RUN |4 NVIDIA_PYTORCH_VERSION=22.06 PYTORCH_BUILD_VERSION=1.13.0a0+340c412 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

2022-06-14 04:38:18 UTC (buildkit.dockerfile.v0)

COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit

2022-06-14 04:38:18 UTC (buildkit.dockerfile.v0)

ARG PYVER

2022-06-14 04:43:15 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

2022-06-14 04:43:15 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

2022-06-14 04:43:15 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

2022-06-14 04:43:16 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

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

ARG NVIDIA_BUILD_ID

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

ENV NVIDIA_BUILD_ID=39176199

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

LABEL com.nvidia.build.id=39176199

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

ARG NVIDIA_BUILD_REF

2022-06-14 04:43:16 UTC (buildkit.dockerfile.v0)

LABEL com.nvidia.build.ref=724e37aef5c83f96ed3ead75ab8cbd5d8fc3a7e9

2022-07-05 14:18:51 UTC

/bin/sh -c #(nop) LABEL maintainer=monai.contact@gmail.com

2022-07-05 14:19:00 UTC

/bin/sh -c #(nop) WORKDIR /opt/monai

2022-07-05 14:19:09 UTC

/bin/sh -c #(nop) COPY multi:d8df2090fecce7914df247dbea5a556decd64fe849f26b1ed45aff3754771ff3 in /tmp/

2022-07-05 14:21:00 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

2022-07-05 14:21:11 UTC

/bin/sh -c #(nop) COPY multi:7bc8b33b42661a932312415c6764e24487fa02395786e22cac78e36e1b73df5d in ./

2022-07-05 14:21:21 UTC

/bin/sh -c #(nop) COPY dir:918ac83a66d5332f8dd619384fb39cf30a68a10d4d83657853ec41251b1e3fd1 in ./tests

2022-07-05 14:21:32 UTC

/bin/sh -c #(nop) COPY dir:b6fd654c30b3106c4338d25c12f3a9d74169d4d13230329aa70cef15eb6cf590 in ./monai

2022-07-05 14:49:44 UTC

/bin/sh -c BUILD_MONAI=1 FORCE_CUDA=1 python setup.py develop && rm -rf build __pycache__

2022-07-05 14:49:54 UTC

/bin/sh -c #(nop) WORKDIR /opt/tools

2022-07-05 14:50:04 UTC

/bin/sh -c #(nop) ARG NGC_CLI_URI=https://ngc.nvidia.com/downloads/ngccli_linux.zip

2022-07-05 14:50:18 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

2022-07-05 14:50:28 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

2022-07-05 14:50:56 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/*

2022-07-05 14:51:07 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

2022-07-05 14:51:18 UTC

/bin/sh -c #(nop) WORKDIR /opt/monai

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