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
5d1630c5dad5bda47b1e1a93d950c3e766f9a9c793974140714c53722a46e4aeCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 6064/tcp, 8888/tcp
03/09/2024 3:09 AM UTC
73c7f3c6dad9cafbbce6cf4d1596098f0cd3750b67d9a7b5e907d2ed480acfedLABEL
com.nvidia.build.id=85286639
03/09/2024 3:09 AM UTC
d18166682b48d105fe4b449f3c2659ae16d8e98ed2049b956ece03e2c25d6503ENV
NVIDIA_BUILD_ID=85286639
03/09/2024 3:09 AM UTC
6fabcbee77b2f91d26c0661acc0dfa35bd1d03396e3179632cb355144116cbb8ARG
NVIDIA_BUILD_ID
03/09/2024 3:09 AM UTC
cfeaba70e9e43e927fea3a142dcbe68a9afbc13d1ea1a174c4480834cf30d053ARG
NVIDIA_BUILD_REF
03/09/2024 3:09 AM UTC
f288859cf9b21893141023293b8ab11829fb9d03d68fa07ac1eeba141188aec4RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.03-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 ${_CUDA_COMPAT_PATH}/lib
03/09/2024 3:09 AM UTC
042afc7868e03493efc8d4395aecce5f35d34d5fab1cef132c13c9eb865b4bb1RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.03-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
03/09/2024 3:09 AM UTC
fd3058b24f6aebd0d749ec2593c6d04b4fda66710b47447f6e34ea794574b570RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.03-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
03/09/2024 3:08 AM UTC
9025e22b279e5a8c498260473b110440aa3e5047e46eb84ee5a0abda66d885eaRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.15.0 NVIDIA_TENSORFLOW_VERSION=24.03-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
03/09/2024 3:08 AM UTC
2ffa243d6b49f81931fa430736aea95fd94cbcbf244636ee1b739933d80124c5ENV
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
03/09/2024 3:08 AM UTC
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