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=92754effeceb633670a95869a57791e8ce80200f
07/09/2024 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=100465222
07/09/2024 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=100465222
07/09/2024 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=100465222
07/09/2024 12:26 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=92754effeceb633670a95869a57791e8ce80200f
07/09/2024 12:26 AM UTC
sha256:4ce000a43472e4a2527834764b5044674760f1e2a766480798d03a93b51a0b39RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.07-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 ${_CUDA_COMPAT_PATH}/lib
07/09/2024 12:26 AM UTC
sha256:c624610155071cbbf5a02abc2c7439cf6e26e5c351cf83d3c3452f00d7788b12RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.07-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
07/09/2024 12:26 AM UTC
sha256:b4b3998484dfb07aefe891b6c79efb884c2d3d6b30013dcff8c1688ac9c27cb7RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.07-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
07/09/2024 12:26 AM UTC
sha256:419a891306283bb483c5a4bd35bf0b47d0263146e4011ab9e49709132829c127RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.16.1 NVIDIA_TENSORFLOW_VERSION=24.07-tf2 PYVER=3.10 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
07/09/2024 12:26 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
07/09/2024 12:26 AM UTC
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