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Google
TensorFlow
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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
036ddf1693238fa15abdae5bf82b6402f1244d86da83f80f5daecd7cfede862bCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
04/28/2021 8:19 PM UTC
a9e9eda5f97b5bfbaae00de5e5c0c824595008ab28c55dbc5f389a930bf041c9ARG
NVIDIA_BUILD_REF
04/28/2021 8:19 PM UTC
1a8deac4d409edba536f067843cea67f58fc140b473c59938eebabf6583d3082LABEL
com.nvidia.build.id=22596046
04/28/2021 8:19 PM UTC
1a772ac57dbf75606d5c78328a6797c2c5dc236b97d12a788c056c83699d57b5ENV
NVIDIA_BUILD_ID=22596046
04/28/2021 8:19 PM UTC
ddd6897a10da36c0af75b23ba100d39d3818e8bbe10eb2f3d7170f99e4a9d89bARG
NVIDIA_BUILD_ID
04/28/2021 8:19 PM UTC
4068d232f9515fd63f5969abca9f25789a84ffc8292900c15b7156cbd72822b4RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 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 ${_CUDA_COMPAT_PATH}/lib
04/28/2021 8:19 PM UTC
4b6ff1b8cf925d9dfd2cfaa2c2d3692b4192eb68bbc8c42f29719885dd51f2fbRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
04/28/2021 8:18 PM UTC
99d04d2be8415d6cf62f46e32cd3dd3ff772ff85774fa8bd7c9c7a9477e315c3ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
04/28/2021 8:18 PM UTC
de207d4f1824bf7dcfb112b7916a85550349dbc6ea602afe084db4a9a2bc5b6cRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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 &&
  chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
  ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
04/28/2021 8:18 PM UTC
750b73b03129e72fcafe1fd77e9f0c41dff5a1d12e191394bce271a6b7fc380cRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.05-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir -r nvidia-examples/bert/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/UNet_Industrial/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/unet3d_tf/requirements.txt &&
  sed -i 's/SimpleITK==1.1.0/SimpleITK==2.0.1/' nvidia-examples/vnet_tf/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/vnet_tf/requirements.txt &&
  if [[ `pip list|grep cupy` ]]; then sed -i 's/cupy//' nvidia-examples/NCF/requirements.txt; fi &&
  pip install --no-cache-dir -r nvidia-examples/NCF/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/resnet50v1.5/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/gnmt_v2/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/ssdv1.2/requirements.txt &&
  pip install --no-cache-dir -r nvidia-examples/UNet_Medical/requirements.txt
04/28/2021 8:17 PM UTC
...

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