Google
Google
TensorFlow
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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.

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com.nvidia.build.ref=156c7729e39ba7838be2b30e8b764bd80ac1732e
09/03/2024 11:45 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=109642210
09/03/2024 11:45 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=109642210
09/03/2024 11:45 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=109642210
09/03/2024 11:45 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=156c7729e39ba7838be2b30e8b764bd80ac1732e
09/03/2024 11:45 PM UTC
sha256:e63ce922f0229bde5aea9f366c46883dcd23747e7d2c541f16665f199dbf98b8RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 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 ${_CUDA_COMPAT_PATH}/lib
09/03/2024 11:45 PM UTC
sha256:17b74cf3a2f9745db53fc5d77b3a0039bf841b1bb5588d4a3d1de3888774a588RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
09/03/2024 11:45 PM UTC
sha256:3fa8bcb93e1993b8ff948c9eafd3c41aa60a7387e38c1e673dc692d0a9695f5eRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
09/03/2024 11:45 PM UTC
sha256:3723017c2390385a385969c1c5c7f1cf7898601ea44b1bcee51e183ec36229dfRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.09-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
09/03/2024 11:44 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
09/03/2024 11:44 PM UTC
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