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
00f3e98d97796fc1a176e3fbb1367e7735b782121c70448e75bfe3a5f4464731CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
11/21/2023 7:44 PM UTC
d428e5e7f2241bc23a93eb8d3273e692aea61617a3c8f34d77bab5c8cbdf357cLABEL
com.nvidia.build.id=75076557
11/21/2023 7:44 PM UTC
9addcbc77d0125aac28a757c55f107217f1d6ecd0342acd93ae86d43a3a0af6dENV
NVIDIA_BUILD_ID=75076557
11/21/2023 7:44 PM UTC
1def0283f3b86bd3e2b6cd1c94ecf66e99bc9bf000627cab1612b94e7224b3d0ARG
NVIDIA_BUILD_ID
11/21/2023 7:44 PM UTC
1357706031fc0cf75dd82ef96a9aa504bc9f94bdf2a0e130a71029e0aefb48fdARG
NVIDIA_BUILD_REF
11/21/2023 7:44 PM UTC
fa50574b8bdbe6d64c472ea22d8e2e6a62765388db68cf329a32c200ae1f3e6aRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-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 ${_CUDA_COMPAT_PATH}/lib
11/21/2023 7:44 PM UTC
6e8f1f012179ea2925f455dfae569e76bc48528359cec3cb6720fcad2378ffc1RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
11/21/2023 7:44 PM UTC
822caf453f50eeeb10e1d4f8229a1282432eaf8a0aa10a15f03b597d0638d24bRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
11/21/2023 7:44 PM UTC
b675414d5a872fa0a47f01e92a18afb5ad724224d55f1ba11b25ffd9ad93c6d7RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
11/21/2023 7:44 PM UTC
aa2c70d5e05c89ea4de5727f48deec8dde91326def63ad450ea11eb11155e897ENV
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
11/21/2023 7:44 PM UTC
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