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
4cf3ea397852047d831bfc1e6370b3e7dfa14eb37d02baf0327b7331a69e5c10CONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
09/07/2023 5:39 AM UTC
232687079e1e736a7eaa0b96acc47c192465ae203fd034efabcfb67f7f72fc24LABEL
com.nvidia.build.id=68583340
09/07/2023 5:39 AM UTC
5f101a2b1ec3ab8ea99ff517fec229d680276cbeff1bc4a731563e29bd8adf16ENV
NVIDIA_BUILD_ID=68583340
09/07/2023 5:39 AM UTC
fadeeb268a4b66d8c221d00de4bb51379b8f5243a9914cc59635ee0f7f7cd1ecARG
NVIDIA_BUILD_ID
09/07/2023 5:39 AM UTC
40fb0297abf584bf21ede308e2433ba9893d5530c48c68c7e14a9a9fddd544a3ARG
NVIDIA_BUILD_REF
09/07/2023 5:39 AM UTC
8abd01b6170990e8777451dae628378a6f32831da652f24eb30866033653f4bfRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-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 ${_CUDA_COMPAT_PATH}/lib
09/07/2023 5:39 AM UTC
320a04cb181ab8242eaa4932f9c42c2f2589cd87d9b01e242567b454d0c10d57RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
09/07/2023 5:39 AM UTC
467ce81a61d72a2ed483dea1bbc3823914fbba593ff7a3bba56a8c14fa576aeeRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
09/07/2023 5:39 AM UTC
5864446fa6a0f1edef82dcbdeeb745c7fbb0986ad240a51d6eb83b41284add2dRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.13.0 NVIDIA_TENSORFLOW_VERSION=23.09-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=5.3.0 TFAPI=2 BAZEL_CACHE= if [ "${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
09/07/2023 5:38 AM UTC
b89ebeb049e5207429497c0cee7d6388b704540558d9d0b1e8ea59c8ea5b7026ENV
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
09/07/2023 5:38 AM UTC
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