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
ece59ab153c88f55c24dbbc72180b35585fbc1c8398088ce1a8b541d2ea8e3f0CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
12/06/2023 12:52 AM UTC
7c2abb1aec73cc38a325994354fc4e6e263f0e727c50e222ed158f5e89f20d41LABEL
com.nvidia.build.id=76438283
12/06/2023 12:52 AM UTC
759f3781daf82a6e7fb9455b4f610c39555e5880da45fd5715601a28ea97aab9ENV
NVIDIA_BUILD_ID=76438283
12/06/2023 12:52 AM UTC
9b0bbd1c98f014c44719621247261906f65fcefbaa5151bce6fc67273c8c9948ARG
NVIDIA_BUILD_ID
12/06/2023 12:52 AM UTC
0d9367e21fc3eabd3e9247ef3bedf03ccf6aefa6ec770f10118e280f6dc5106eARG
NVIDIA_BUILD_REF
12/06/2023 12:52 AM UTC
edd4709527b5d947de506c6eb977d490135fd5db57caae8ddb5f04f76fb69cbfRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.12-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 ${_CUDA_COMPAT_PATH}/lib
12/06/2023 12:52 AM UTC
5cb52c2e06ed665e424f6aa22db761e5a0f02bd95074fa4f4b9023fc27900a89RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.12-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
12/06/2023 12:52 AM UTC
62bc651f8fb59379e5bb50706782e76f4ee6f16d3fed5e682642950748126c95RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.12-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
12/06/2023 12:52 AM UTC
1b022f779847b550b71d79af5af75f4db80c2f4ba77d5a0bf6e77abf23f4d983RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.12-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
12/06/2023 12:51 AM UTC
27b014fbc272f32a9c041048d6d5e1345d3707f5a811f0cdb06ba8862adfbd75ENV
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
12/06/2023 12:51 AM UTC
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