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
52004e549533fcf8a3a5afade9fc0384d492e6e764b16f93ad29ca0be97fb273CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
05/05/2022 9:41 PM UTC
668bc44c468ab84a3e64161e5918d1ee7153f8577e0bc6105090772bddbffeebARG
NVIDIA_BUILD_REF
05/05/2022 9:41 PM UTC
81181b1aa2ff441f1eb3f509f1074f42f9bdea41dce3760f7215761000e333fdLABEL
com.nvidia.build.id=37412818
05/05/2022 9:41 PM UTC
fd27d3bae883ea0e41120372a4f29ccd475835b438519ee3dc2726559e1789d9ENV
NVIDIA_BUILD_ID=37412818
05/05/2022 9:41 PM UTC
b7bd1c6b5600d08071c123d037d021a0cceb389d2188ab7767f57c3bdabe5f9eARG
NVIDIA_BUILD_ID
05/05/2022 9:41 PM UTC
4a42d175fc90e7e2d42fb606e9974c113331a9e1eed6ac65903e9f1f3ff25e27RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.05-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 ${_CUDA_COMPAT_PATH}/lib
05/05/2022 9:41 PM UTC
cdecdbca2cbc34060a85673aa3099699fc6df06885b420c274f0b76574d9b940RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.05-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
05/05/2022 9:41 PM UTC
ff4372e7da276c7b53487d1175af87f68d56b44e6e6bc401e81ae5918c65e0a9ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
05/05/2022 9:41 PM UTC
777a5870b297a47490bc6b45560f0aafd715764877b379818d8d26ecdc831325RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.05-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
05/05/2022 9:41 PM UTC
0b9863a6d5834bf276d73dd9334e5a640b7fc520fba13b84b2b33dcc60d8f541COPY
nvidia-examples /workspace/nvidia-examples
05/05/2022 9:41 PM UTC
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