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
902050767ff6f09aa7a6b59625c5afb1633f43d464043194fd2f41a7512bde8dCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
03/24/2022 5:03 AM UTC
9207ab94d86dedab3d71121c19f1b6c2f19713c6e6fc38f1d73cf3da9050cb33ARG
NVIDIA_BUILD_REF
03/24/2022 5:03 AM UTC
512a9d59877b7fd56ceec98bc4bb05134cee9548da2f1ccb90e946985c1739c1LABEL
com.nvidia.build.id=33659237
03/24/2022 5:03 AM UTC
652c04357bba56a479a259dbb3c860cec03467298170538c1bd057cc472ccfa0ENV
NVIDIA_BUILD_ID=33659237
03/24/2022 5:03 AM UTC
02c6da947dc3302d9c010b831469a786935004bc00a9b8249a598598c65b7b63ARG
NVIDIA_BUILD_ID
03/24/2022 5:03 AM UTC
596baf590e564764e0ab460459cc74eaf26dec248e4db572f81fadc838bc5c79RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.03-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 ${_CUDA_COMPAT_PATH}/lib
03/24/2022 5:03 AM UTC
e75ca3678f654d6b37460bcbefa6ce609ba99d705f78236b994fc71c0324e47aRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.03-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
03/24/2022 5:03 AM UTC
7287357b02de87251bb81203368148e74e326aa43b23bcc0d50433aa57e8ba6aENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
03/24/2022 5:03 AM UTC
9234c3c230bc42369943720b2fbc35152fcd955d52330c788fdf329fe5f3e3d8RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.03-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)deb.*$/\1/p")tar &&
  FILE=$(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
03/24/2022 5:03 AM UTC
abbd5d9309a76941f3214522e65e4faba8b52e604a3a39e48539024380cba1b6COPY
nvidia-examples /workspace/nvidia-examples
03/24/2022 5:02 AM UTC
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