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
489421a4c660dfb2efa2efdffbf25e89b2fab27cb64c53c48bbb246b7a73a1d7CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
02/10/2024 1:26 AM UTC
52ae96c3083a5401bc63d29341cf7fe62b23f8be738ea5eda86a00ebdb590f47LABEL
com.nvidia.build.id=82611795
02/10/2024 1:26 AM UTC
08a9df629bee2ba4716d7f1c777ce4acef9ba0ce3648e553db98a9bd1981a569ENV
NVIDIA_BUILD_ID=82611795
02/10/2024 1:26 AM UTC
6320ddfebeac9d6d670b37b6bd1b8357bde300d07abcc9cf6c245188fc15049cARG
NVIDIA_BUILD_ID
02/10/2024 1:26 AM UTC
eecc962783dde6360bbcba5bab22afd1f651558b62f803877f2969baf5be026aARG
NVIDIA_BUILD_REF
02/10/2024 1:26 AM UTC
875b2665cd9edb3acc3addbb9b02387df798ebf86a46d10989ef9da020c62460RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.02-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 ${_CUDA_COMPAT_PATH}/lib
02/10/2024 1:26 AM UTC
dfa24237955751fc065610767ff988f656ab4b173fad6db4a5da59e54df8efa4RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.02-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
02/10/2024 1:26 AM UTC
0de5ccbf6b9bc3c3c820542c4aa6a5dc3c0c04ead8166a9873dbf1452faaee91RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.02-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
02/10/2024 1:26 AM UTC
548a6d1c6dcc5d29188d313e0bc6c0c37729abef1b9cb302c1f46c5f37f6f301RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.02-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
02/10/2024 1:26 AM UTC
145c48debb99b71f851a69baf8fbe9da2ae6bbc0d27e60e800e98bc4eb47b327ENV
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
02/10/2024 1:26 AM UTC
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