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
ca804c463a57b0fe40fab3830a6bf63534b2b337a363c3682b42e2255dd67ebfCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
12/17/2021 9:55 PM UTC
b86cbbb95d32afe9aa46531976d8c5c40ee5b0ecb1eceff30a826e59be309ce4ARG
NVIDIA_BUILD_REF
12/17/2021 9:55 PM UTC
05c1a7366cf8e23e3e6bc4f46ccd5bcc451ddd24c50fe3c595c1a1c0fbdf786cLABEL
com.nvidia.build.id=30417882
12/17/2021 9:55 PM UTC
da85ff2aa515978fecd96797c353b80afa554bfe74a12f5a5468b47bad9ffc39ENV
NVIDIA_BUILD_ID=30417882
12/17/2021 9:55 PM UTC
9a856b680cb54542214f00c8c34dc4e7152e1494abc8d36a7b05c50289542057ARG
NVIDIA_BUILD_ID
12/17/2021 9:55 PM UTC
27c4360cb39fdc570d31c3298d8aef4fc8d376a7d753f83fdbf4ee0b80067d9cRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.12-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 BAZEL_CACHE=--bazel-cache 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 ${_CUDA_COMPAT_PATH}/lib
12/17/2021 9:55 PM UTC
2cb7d26f0077975fed744a103930ca271bea550b99cf94282177e324a80bd76bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.12-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 BAZEL_CACHE=--bazel-cache pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
12/17/2021 9:55 PM UTC
bb6ad9c8728d65a5847312c1206296f45bcf6f720a0345f6ce32c36cd445199dENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
12/17/2021 9:55 PM UTC
431e8acef168daa4f366ee986446c380d1f1fa46d3b582e35beb3d386c21b68dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.12-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 BAZEL_CACHE=--bazel-cache URL=$(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
12/17/2021 9:55 PM UTC
fce7e4992e16610c5e5750b44e22e1560c2f2a817bce59ce93184b7d3b15be91COPY
nvidia-examples /workspace/nvidia-examples
12/17/2021 9:55 PM UTC
...

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