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
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=89694c5028964daed8e61b52360f35aef117635a
    08/16/2021 7:59 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    08/16/2021 7:59 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=26012104
    08/16/2021 7:59 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=26012104
    08/16/2021 7:59 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    08/16/2021 7:59 PM UTC
    sha256:557e66e9e6f89885fff4842057691837d6fdd4e1ecfc0d51622148b45655fa9dRUN
    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 ${_CUDA_COMPAT_PATH}/lib
    08/16/2021 7:59 PM UTC
    sha256:ea7f5c6166aa4141c496138cdeebd6a0cad30b78ba477ba17c59bc6ac56811bfRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
    08/16/2021 7:59 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
    08/16/2021 7:59 PM UTC
    sha256:6d644483c67b8e76714859b77e6accd331449e3ab89eeed350dd49d696c569caRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(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 ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
    08/16/2021 7:59 PM UTC
    sha256:b420dd7dd863b884e85a2f5c59e0f0c389a63857639d86e256f42ffa4689caa4RUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.08-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 cd /workspace/nvidia-examples/OpenSeq2Seq &&
      patch -p0 < openseq2seq.patch &&
      ./scripts/install_kenlm.sh &&
      cd /opt/tensorflow/tensorflow-source &&
      ln -s /workspace/nvidia-examples/OpenSeq2Seq/ctc_decoder_with_lm ./tensorflow/core/user_ops/ &&
      ../nvbuild.sh --configonly --python$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
    ...

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.