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
35ed200437eee77fa175420f35b804a9ade91c1bbd7875037979b72ab461ae8eCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
04/05/2022 12:50 AM UTC
d6c42b4601248683119e8956e871bec061c31fd149baac9f610cca2274ebcdc6ARG
NVIDIA_BUILD_REF
04/05/2022 12:50 AM UTC
91fff045b0d3b25ddd552ed7d51b6c2c0149c9d0142c25aa51bdab47e16b44e0LABEL
com.nvidia.build.id=34874221
04/05/2022 12:50 AM UTC
2b08bfd1073daf7f7058564a475800da6ac9f7cf46ab6b5ea2b1c72e1fca2d24ENV
NVIDIA_BUILD_ID=34874221
04/05/2022 12:50 AM UTC
d048bf37a57c37c02248ff659d5d186314ba4bb9cc19c3ba1de2dab7774798a6ARG
NVIDIA_BUILD_ID
04/05/2022 12:50 AM UTC
99f41d800eb68ff7c378aefa932d2967d5080e83172a373202fb0b794d8e55efRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.04-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 ${_CUDA_COMPAT_PATH}/lib
04/05/2022 12:50 AM UTC
0b63b482cc5b11cd69cc61054d3c5c183e454499e625d5f77c5d8d2fb1a9b51fRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.04-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy==0.33.0
04/05/2022 12:50 AM UTC
0f28fa1e0d79ba84576e90266a3a82922f1a7649c0a11f373917f16d8f461970ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
04/05/2022 12:50 AM UTC
927ace50b323a256a24f88e1d26086b7d29c8af743267c98472e058fb3d5fc34RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.04-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 URL=$(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
04/05/2022 12:50 AM UTC
dba250e685902799f44cf45ef9ddcef7cb231e1ed35f02ef13b8ede000dc0f6fRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=22.04-tf1 PYVER=3.8 BAZEL_VERSION=0.25.3 TFAPI=1 cd /workspace/nvidia-examples/tensorrt &&
  patch -i /opt/tensorflow/pycoco_build.patch --strip 1 &&
  rm /opt/tensorflow/pycoco_build.patch
04/05/2022 12:49 AM UTC
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