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
7def19a2a17569be8846f601a0b58afc9da7412599f3339cffb0576ea06c9c8fCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
06/07/2024 1:27 AM UTC
e7b7ec437b6ffd0621a62576c60c8780b043235d4ed3ba935cb831a65d66c884LABEL
com.nvidia.build.id=96435379
06/07/2024 1:27 AM UTC
326cfcafddde254edd4a01dd1ad5b217080b74afbeace48443775acb0ff89377ENV
NVIDIA_BUILD_ID=96435379
06/07/2024 1:27 AM UTC
bd6be989165900f0adb6b4c270cffecb786c6f18afb8e015bb0134c37b79e50eARG
NVIDIA_BUILD_ID
06/07/2024 1:27 AM UTC
6666482930d94ba1a936316725a0f8f7333b15c6351e3b871cd9d2706b46c5baARG
NVIDIA_BUILD_REF
06/07/2024 1:27 AM UTC
dff259704e72d92b5c319eca32a922b7acc08c534392a30ea06df3af2f14d141RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= 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 ${_CUDA_COMPAT_PATH}/lib
06/07/2024 1:27 AM UTC
fbb5ccb958ac143849fe5664dd522f2f3ea4296dcffb5dce5764eebe9dcd3545RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
06/07/2024 1:27 AM UTC
ce43f5ff8bd7147edd27ecd149753bf81dea5a873a205b975b3135c2a1aa1436RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
06/07/2024 1:27 AM UTC
117341a8128d568046c9d7e00f210807a4acc7907890d8fe0c966e823dfb1b26RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${L4T}" = "1" ]; then echo "Not installing Polygraphy in iGPU container until version is specified."; else 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==${POLYGRAPHY_VERSION}; fi
06/07/2024 1:27 AM UTC
739659ba2fd7a5ef5d1a58ec2f0f5acbb9bad96e97a315774f74ca78ca89b8d4ENV
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
06/07/2024 1:27 AM UTC
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