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
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.ref=f9f537dd4d4c69ae59b665c26a6e5df7a394a5c0
06/07/2024 1:49 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=96435381
06/07/2024 1:49 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=96435381
06/07/2024 1:49 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
06/07/2024 1:49 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
06/07/2024 1:49 AM UTC
sha256:d5a2ad729c09fbfdb259ae764f92188efc67a615ffde9bb34a46298d1edf3cd6RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-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 ${_CUDA_COMPAT_PATH}/lib
06/07/2024 1:49 AM UTC
sha256:6ce28feac9c4a2886262880eb6fb4cfd9ac32749c77bce71adb468ef4e970420RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
06/07/2024 1:49 AM UTC
sha256:02afb7ed27b45e326e763a2c49fec62b7065656b74821d21e4e0f1f2294d9a35RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
06/07/2024 1:49 AM UTC
sha256:12693b0f4d6f16dc7dccc64ea24fd7abd25149f13dfb65f9b10be2a1b348cde1RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.06-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
06/07/2024 1:47 AM 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
06/07/2024 1:47 AM UTC
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