Google
Google
TensorFlow
Container
Google
Google
TensorFlow

TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.

LayerLabelCreated
7abc17a2e1aa5fadb92317d3f6dcb79e2a60d1a9d806976f06dcfaa9e9fdb1afCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
09/29/2022 2:55 AM UTC
7289db93d34f874bb66186b3a85f4ec2d485404668c11e9740fb06d950452b47ARG
NVIDIA_BUILD_REF
09/29/2022 2:55 AM UTC
e1de58dc70ddd39966af6b3034c22bcefe574186cf36df109d3cd312a3d69413LABEL
com.nvidia.build.id=45213501
09/29/2022 2:55 AM UTC
21e4f4e420d30a0bef9577b583414ddf082ebbe564b0e3ea6a43d1f98a18555dENV
NVIDIA_BUILD_ID=45213501
09/29/2022 2:55 AM UTC
24ee30f220aed2928e61f936655a7ff86e8ae29d17f0054b59a74aa44ea921a8ARG
NVIDIA_BUILD_ID
09/29/2022 2:55 AM UTC
2e8ebadb674f982aff80cf9941e2106ae24754ea7db20d692eae526c10203e54RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.09-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 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 ${_CUDA_COMPAT_PATH}/lib
09/29/2022 2:55 AM UTC
31cf7616e0d19bcda4bfe3a8237477cdb0b90dd576f9a3bdadecf3f2acdd0938RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.09-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==${POLYGRAPHY_VERSION}
09/29/2022 2:55 AM UTC
616f9575b35a9bd80c6a2ce8803ebed0761b354213d55346e58d6b2166fccf2eENV
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/tensorrt/bin
09/29/2022 2:55 AM UTC
0c106560371a6b6671e3bafea3092b379b5257cec9dc926b4bbb634cc64d53deRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.09-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 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 &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
09/29/2022 2:55 AM UTC
d4f47e6379c7171e0426db9addb6b0355acc73e23a2df6081f05c9c03e367eb6COPY
nvidia-examples /workspace/nvidia-examples
09/29/2022 2:54 AM UTC
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