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
c24ddf3298cfaccebd7785ec01338ca23d8d09c98a2993aeefc67f70acf21cc7CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
10/05/2023 6:30 PM UTC
4ff6c51bf478dbe8c353783698cf0f8d6c29a91116947a84c5b05ff972f4d25cLABEL
com.nvidia.build.id=70926626
10/05/2023 6:30 PM UTC
8b0c2b7fd54c505c14ce13514e633da4b52003b866e5396a4aff07c317ba1725ENV
NVIDIA_BUILD_ID=70926626
10/05/2023 6:30 PM UTC
8b4b71dcc0d09b7af1b121ef5b4053d87028de09e0d9ad820c667599d8b45a83ARG
NVIDIA_BUILD_ID
10/05/2023 6:30 PM UTC
ed5907a044d2df08a66ffd24d1d355076f1831a0230c8de29522f03037917350ARG
NVIDIA_BUILD_REF
10/05/2023 6:30 PM UTC
23c58ea4b0c4dc3ed586493918d04b779a455fd9a5c5b277aa779ab5e792c900RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.10-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 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 ${_CUDA_COMPAT_PATH}/lib
10/05/2023 6:30 PM UTC
cdaa8c1f0b187007d1d1b96ee94572fd5ec758f459a64c651780593efde1652aRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.10-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
10/05/2023 6:30 PM UTC
6ea876369f7602df9125c95c0b95fdb4fda6b6e9ac1dfcaea81574c31a930cabRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.10-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
10/05/2023 6:30 PM UTC
9c68eeabd344fc4d8c6ab3e31f33cf16cba91f04cd6f918c757622981d76c4e9RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.10-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= if [ "${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
10/05/2023 6:30 PM UTC
2a4d8419b991960318deee75853c8f641f653498e5e8a2fc94d07428f045c275ENV
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
10/05/2023 6:30 PM UTC
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