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
781b59d9c814e6eaad1883671406e6f0b5ce0b3fe12c630f18efae2df92231a8CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
07/01/2022 10:21 PM UTC
03f132517d0cbffb702708197d6cdba295bf2d1c457b643f94820240d53135edARG
NVIDIA_BUILD_REF
07/01/2022 10:21 PM UTC
1ae0cb8b77669d403574e896f167968d1fd84bd67819ec4d3b1a458bb0afc8c1LABEL
com.nvidia.build.id=40130399
07/01/2022 10:21 PM UTC
3e670eab9cd9924e67662c42d49ac34ae949c4e323c319e35f1dcd45f1051020ENV
NVIDIA_BUILD_ID=40130399
07/01/2022 10:21 PM UTC
7547c1927955ae40b4dae0615a8e6965852cee42fdb270d3a073fa35d783ab76ARG
NVIDIA_BUILD_ID
07/01/2022 10:21 PM UTC
3278df0283acf9ff9f6344d9435ec8b711d51ce16d4c94c14affbff24c2210f6RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.07-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 ${_CUDA_COMPAT_PATH}/lib
07/01/2022 10:21 PM UTC
cecfc88779eb63232d7c585c6cdc73bb5a2a0fff89c895c7280d3cd82b41670bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.07-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
07/01/2022 10:21 PM UTC
a31b3c120a6f1da038b91b6b03d8c9440679bfa75908c6005f9f3543c8484d14ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
07/01/2022 10:21 PM UTC
47e6ea0b9d218136f3cb1e8339402ea777cac3a528072d7b7a6d440548a0d024RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.07-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
07/01/2022 10:21 PM UTC
87492720ad05300c4cee28dfb1b11682db4e955d353269a1a4ed9dc1d412e7f8COPY
nvidia-examples /workspace/nvidia-examples
07/01/2022 10:21 PM UTC
...

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