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
44449861781fbcc66508db58a9f6a6c3d8c0a9c061eda8a63cfb4f60566e67f6CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
02/09/2022 9:01 PM UTC
9ff54b981f17cad527c586f8724496bdadafb3b63f2c7efd62dc9422384b4979ARG
NVIDIA_BUILD_REF
02/09/2022 9:01 PM UTC
ef2077291fca99f1f184a9e167a8e5dbe70d1408375669d902af68795179e0aeLABEL
com.nvidia.build.id=32060646
02/09/2022 9:01 PM UTC
a34250076523b5c7bfd9f287c031ee12ab4e187e3fd69a9dab13a5a70ac99d26ENV
NVIDIA_BUILD_ID=32060646
02/09/2022 9:01 PM UTC
efff0009c6e9f23c0b6b0b2a9edc1e91dede9828e717744d91ab9ef4d1612f3fARG
NVIDIA_BUILD_ID
02/09/2022 9:01 PM UTC
cc90582a1edaecf693837070740d7dd4dfbc878b3aac026a0906002fafe6dcddRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.02-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 ${_CUDA_COMPAT_PATH}/lib
02/09/2022 9:01 PM UTC
68d0c56d5e19b5c78b44c91f36dbbe3239c04c37cecfc3edb74c9969125e31aeRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
02/09/2022 9:01 PM UTC
5fe2d2f5a8e023a5de9fe95997b4243238e74e67701a5b8143eb4686f4609c2bENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
02/09/2022 9:00 PM UTC
1addc6447fd54aacf13afcc9376070a9124be354c38fccdea46e0e8e36bc8f91RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.02-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
02/09/2022 9:00 PM UTC
d824de3816c829c5b432ece897ad57af06c410da2fe8e65557d41f664881a370COPY
nvidia-examples /workspace/nvidia-examples
02/09/2022 9:00 PM UTC
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