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
3b3394cb44a661754db6e2d4c6b33202e1e708adf97cb1546e46db2785907b84CONFIG
Entrypoint /usr/local/bin/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
08/16/2021 7:59 PM UTC
d89d31db8e5fcb0b1924f5419fa2544a4e8d7e580467abf197607ddb36537d4dARG
NVIDIA_BUILD_REF
08/16/2021 7:59 PM UTC
d76eb06aeb71060fbed861d09eb1cae1f0b4f5c3d121bd2f7acb52144aa7f4f3LABEL
com.nvidia.build.id=26012104
08/16/2021 7:59 PM UTC
15537aa1c878d69d02dd4f08af53aa98cd280795d145a0a371be204306a7da9eENV
NVIDIA_BUILD_ID=26012104
08/16/2021 7:59 PM UTC
89a91ee41429c692fb94c93b2d6925266015f4c4679cfb922ec31d59ea25b667ARG
NVIDIA_BUILD_ID
08/16/2021 7:59 PM UTC
6168179baf7d7cb12ac71195c4847a42206ae303e8fbd35843b9982cc896a86bRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-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 ${_CUDA_COMPAT_PATH}/lib
08/16/2021 7:59 PM UTC
69decfec068856a2254f94f17f582231d3d3825ce1f0271d21d35f24e49887afRUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
08/16/2021 7:59 PM UTC
9a8071d194ee8df395ebfab8ffc2fd5d8db7dbed493eabbc38ca096fb9adbcd8ENV
PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
08/16/2021 7:59 PM UTC
3e8f08bf73fcbade9fe05aea495757ce9e7a1f7d5bdbfedf4b466d4a3a460598RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
08/16/2021 7:59 PM UTC
261d9ac436e5696f5e946fb5bf1a071d788ae230fedfdda95ead967716ba7196RUN
TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 cd /workspace/nvidia-examples/OpenSeq2Seq &&
  patch -p0 < openseq2seq.patch &&
  ./scripts/install_kenlm.sh &&
  cd /opt/tensorflow/tensorflow-source &&
  ln -s /workspace/nvidia-examples/OpenSeq2Seq/ctc_decoder_with_lm ./tensorflow/core/user_ops/ &&
  ../nvbuild.sh --configonly --python$PYVER &&
  bazel build $(cat /opt/tensorflow/nvbuildopts) //tensorflow/core/user_ops/ctc_decoder_with_lm:libctc_decoder_with_kenlm.so //tensorflow/core/user_ops/ctc_decoder_with_lm:generate_trie &&
  cp bazel-bin/tensorflow/core/user_ops/ctc_decoder_with_lm/*.so tensorflow/core/user_ops/ctc_decoder_with_lm/ &&
  cp bazel-bin/tensorflow/core/user_ops/ctc_decoder_with_lm/generate_trie tensorflow/core/user_ops/ctc_decoder_with_lm/ &&
  bazel clean --expunge &&
  rm .tf_configure.bazelrc /usr/local/cuda/lib64/stubs/libcuda.so.1 &&
  rm -rf ${HOME}/.cache/bazel /tmp/*
08/16/2021 7:58 PM UTC
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