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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=5135f7dcdc5158287853191ef360f380a0d39780
12/06/2024 9:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=126885135
12/06/2024 9:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=126885135
12/06/2024 9:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID=126885135
12/06/2024 9:16 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF=5135f7dcdc5158287853191ef360f380a0d39780
12/06/2024 9:16 PM UTC
sha256:df54b04437252e0fc99b2c5f309ffef0c070318383950666a4b9921c3c558142RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 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 ${_CUDA_COMPAT_PATH}/lib
12/06/2024 9:16 PM UTC
sha256:eff5e2774a95457c3e6e41a97c6b75294517b74a186d4396e49d9eda8189234aRUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
12/06/2024 9:16 PM UTC
sha256:eded4a7a3622b79dd35c3746cdd964d0e86250753596405f8a64a303ec8e75b8RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
12/06/2024 9:16 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
TARGETARCH=arm64 TENSORFLOW_VERSION=2.17.0 NVIDIA_TENSORFLOW_VERSION=24.12-tf2 PYVER=3.12 L4T=1 BAZEL_VERSION=6.5.0 TFAPI=2 BAZEL_CACHE= if [ "${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
12/06/2024 9:16 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/amazon/efa/bin:/opt/tensorrt/bin
12/06/2024 9:16 PM UTC
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