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
05874335670274f836522c3f0d4c283bbdc82a0ed61668d410e379606ada07c2CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
03/10/2021 10:31 PM UTC
eabf52ca96d9e01cec2d105b4ff9609c6da35d1a076dc7ef5fef51b61bd336acARG
NVIDIA_BUILD_REF
03/10/2021 10:31 PM UTC
b4e7d4c180ed9c4f4331b6389717ffa1544aa2a574f86d67e4fa3bab7ec2c18bLABEL
com.nvidia.build.id=20726844
03/10/2021 10:31 PM UTC
fc678bba31bad8e9bf6a2e544741f2dc5c9650d57921407448c25afd4632cbafENV
NVIDIA_BUILD_ID=20726844
03/10/2021 10:31 PM UTC
a47129db57f4d7b8a5ece3f62bbb7783f350d34bd9fa4b5be94ee13b19f22110ARG
NVIDIA_BUILD_ID
03/10/2021 10:31 PM UTC
43b29eb321f06f32f8dfdfa3430661918a619d99c77cdcf9e9aae22b5e6602ebRUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.03-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 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 ${_CUDA_COMPAT_PATH}/lib
03/10/2021 10:31 PM UTC
bf52d0b943465896d9636b47663b8d1b56abb1f9e448f6f003829b26136105f4RUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.03-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
03/10/2021 10:31 PM UTC
157ddd991cdf5025d9734b92484633d08cd03b91e44fcf1e807635a670716176ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
03/10/2021 10:31 PM UTC
ef4277df7bd8b03d2fa83c03ada98acfaee9e25f2d829471d64c1d42dc9f12bbRUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.03-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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 &&
  sed -i 's/from tensorflow import GraphDef/from tensorflow.python import GraphDef/' $UFF_PATH/converters/tensorflow/conversion_helpers.py &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
03/10/2021 10:31 PM UTC
e16722b6c0eed7e29fe3df8c07283a988d3d923b18e70a2fe3db05a61b9db8fbCOPY
nvidia-examples /workspace/nvidia-examples
03/10/2021 10:31 PM UTC
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