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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
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com.nvidia.build.ref=8144ff07ab1a93e7e358ab251f2bc25d40f00b52
11/21/2023 7:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=75076557
11/21/2023 7:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=75076557
11/21/2023 7:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
11/21/2023 7:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
11/21/2023 7:44 PM UTC
sha256:429cdf83b6a89f1adb695489a32941e63123259f73b01be68845bf1b1efabf10RUN
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 ${_CUDA_COMPAT_PATH}/lib
11/21/2023 7:44 PM UTC
sha256:1ec09bd28827d840f500dbe8a68bda1a4d52294793312632dc4282038c952312RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
11/21/2023 7:44 PM UTC
sha256:eea5a352f017371649a2562e190ae9df3438adf09d4e0094649b319e615a6e5fRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
11/21/2023 7:44 PM UTC
sha256:3f18e378712dc8d24adec54a442c3a8fcc1a1dc462d699663208910d5dad7946RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
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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