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
691081049e21e298c0528fd6f04cf4c27818b0bd64619e9b09886f8973715992CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
04/03/2024 6:02 PM UTC
7251632735a895e02c421f88b6e0d969ab2f9644074c13cb05df412e20252cf4LABEL
com.nvidia.build.id=87841059
04/03/2024 6:02 PM UTC
e5ac6476e6786279e7ac72ac160d0bb0e6bb2cf0b8dcc1d6de07cdfa5bac97e5ENV
NVIDIA_BUILD_ID=87841059
04/03/2024 6:02 PM UTC
7f504ad924e3245f744b6530d718507a014c2c2d1505cdf9d2d1f785ecd6022fARG
NVIDIA_BUILD_ID
04/03/2024 6:02 PM UTC
b07256a8674ce0b8eefd75732ec96eab5beb5449583fca61bad8f0296d3b0821ARG
NVIDIA_BUILD_REF
04/03/2024 6:02 PM UTC
eb7ddf71f0c63d936cf131b31006ef24def44d86e99e4915e7f2f8c6d757a711RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 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 ${_CUDA_COMPAT_PATH}/lib
04/03/2024 6:02 PM UTC
a6b6e7642e4f26fe4c1c2a793edc01aacd084d585de6dc1d679c4b37d6746b2aRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
04/03/2024 6:02 PM UTC
6efdb478b72aae9b796eeb94ae73d7abf9f4c93e52efbeeae02bfbd17e2cc412RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
04/03/2024 6:02 PM UTC
2dff999170e98e591baa20c46052679c4810d383e174714e5481016211684950RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.04-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
04/03/2024 6:02 PM UTC
13e485df1989f5428c1afb01c2ba592a6539b43be9c54b8fab99458bda2df0cfENV
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
04/03/2024 6:02 PM UTC
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