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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=d362e06fefd9d35018478921c987ea4f13a83188
01/04/2024 11:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
com.nvidia.build.id=78846615
01/04/2024 11:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_BUILD_ID=78846615
01/04/2024 11:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_ID
01/04/2024 11:18 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
NVIDIA_BUILD_REF
01/04/2024 11:18 PM UTC
sha256:d72e4190d6aabcc8edf54824a64af05cf66bb42eeb4bdb68086b0457b88e0cdfRUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=0 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 ${_CUDA_COMPAT_PATH}/lib
01/04/2024 11:18 PM UTC
sha256:27b911e055c05edaece122790bb52467ab23257dc8f53b0d3172c59c76e7b650RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install --no-cache-dir git+https://github.com/kaixih/tf_op_graph.git@v0.1
01/04/2024 11:18 PM UTC
sha256:d401e0328ce408afd790f8a0578c8af0babb258021076e243f1675ae45d0e268RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= pip install pydot &&
  apt-get update &&
  apt-get install -y graphviz
01/04/2024 11:18 PM UTC
sha256:b44f068291a16cf5eec968326c05ecbacc8b7ad68d3de0139111e78209b623a2RUN
TARGETARCH=amd64 TENSORFLOW_VERSION=2.14.0 NVIDIA_TENSORFLOW_VERSION=24.01-tf2 PYVER=3.10 L4T=0 BAZEL_VERSION=6.1.0 TFAPI=2 BAZEL_CACHE= if [ "${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
01/04/2024 11:18 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
01/04/2024 11:18 PM UTC
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