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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 7:58 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=75076559
11/21/2023 7:58 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=75076559
11/21/2023 7:58 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
11/21/2023 7:58 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
11/21/2023 7:58 PM UTC
sha256:9b4b963cf48782912b17a61180607176842cd7b5ff54735c6f1ba435ae69f6d6RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 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 ${_CUDA_COMPAT_PATH}/lib
11/21/2023 7:58 PM UTC
sha256:bf3bd582a2b318fa2f9d7793b1a63ed1f0bc91e94b9bc45e9d63f7ee90c4ca80RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
11/21/2023 7:58 PM UTC
sha256:f046f3b860f551a5b15671ef43ced43dc3b6e5337d6725cfccec89daa68193dbRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
11/21/2023 7:58 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=23.11-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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 7:57 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 7:57 PM UTC
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