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
227c221aa8d7668a543d550a07088b520e46c1802853e63f32d1c62543249918CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
01/13/2022 7:05 PM UTC
a102835ac3d98bb4c771de62796ae33e4bc907f34c23782a0fd6cd3fd0c18a3cARG
NVIDIA_BUILD_REF
01/13/2022 7:05 PM UTC
56b633a1a261178bcb2cc68bba8fa62ba5ec9c5620ca9ede308182a84e955e1bLABEL
com.nvidia.build.id=31038629
01/13/2022 7:05 PM UTC
45ddc580004c3f2d727f2720c8e5ab4fa996c2665d675b7a9445228840795f43ENV
NVIDIA_BUILD_ID=31038629
01/13/2022 7:05 PM UTC
0ca1bbc9c61293ef4151f70172ab5c90749f31a2b8146a802dba48edebdefe64ARG
NVIDIA_BUILD_ID
01/13/2022 7:05 PM UTC
973acc5ab83dc9d9df8c5935260083a5329c1b663a0bdd70ae19bc7c9100ab6bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.01-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 ${_CUDA_COMPAT_PATH}/lib
01/13/2022 7:05 PM UTC
f66425656a4dccfaf056e7dc8784a6e2c245f6be86c2f5a28cf096f79da3615fRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.01-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
01/13/2022 7:05 PM UTC
b4daa3e44e114fadfabad589baaa6cebf6bbbc4364b59ddb91342f8b13d706c3ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
01/13/2022 7:05 PM UTC
a60cd24dc27397580e3a62da948b1a045f0e126ccc9f46bc5373eeccc44f34abRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.01-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
01/13/2022 7:05 PM UTC
90b5409045655cac29b617bca30479f84ce9b62fa93b1bd77b63dd66e20aefbdCOPY
nvidia-examples /workspace/nvidia-examples
01/13/2022 7:04 PM UTC
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