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
13467ba38f32965983cc292c6fff13e2a8cc9ddf28ca849670491197b3994c8fCONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
02/10/2021 9:29 PM UTC
5fce5111648ac8353a2e4b43ce50560de63c6c7d783594c17bbc6868cd7c6fe8ARG
NVIDIA_BUILD_REF
02/10/2021 9:29 PM UTC
826f9f80ee6b5ef77eb0d2d208c52e13cb78c756ac89b1eb79c1644e7bafeb24LABEL
com.nvidia.build.id=19902717
02/10/2021 9:29 PM UTC
f5b4ecf723a07e67e8385029729a117e194d68443c20c572910d7a9911dc4618ENV
NVIDIA_BUILD_ID=19902717
02/10/2021 9:29 PM UTC
bb8eecf2e82f4a5fda9109fc8a89b913f8ef29875ddb338c93869ee5c43e39aaARG
NVIDIA_BUILD_ID
02/10/2021 9:29 PM UTC
2c711f7330b9a91a46cca46ce0ce196b15551d7a42e6223db710d67d133d2dc9RUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.02-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 ${_CUDA_COMPAT_PATH}/lib
02/10/2021 9:29 PM UTC
c33b6f3c3eaa6af1ebb388b07a8b34d53861b3326f7cdbad601d76d5f2456330RUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.02-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
02/10/2021 9:29 PM UTC
921705466d278b15dfc047daf2873c4f96e0fa50e04fe2144c380c99d9efadf9ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
02/10/2021 9:29 PM UTC
7c64e99662c0c7d1d44cf2b78fbe23d7fa9e60b93548ed9883af3f172a50cceaRUN
TENSORFLOW_VERSION=2.4.0 NVIDIA_TENSORFLOW_VERSION=21.02-tf2 PYVER=3.8 BAZEL_VERSION=3.1.0 TFAPI=2 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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
02/10/2021 9:29 PM UTC
9dde041f7d6ef2c8c5eba41fdaec0a2c5f274b785a527e5296a75b7742f50859COPY
nvidia-examples /workspace/nvidia-examples
02/10/2021 9:28 PM UTC
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