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  • NVIDIA
    NVIDIA L4T TensorRT
    Container
    NVIDIA
    NVIDIA L4T TensorRT

    NVIDIA TensorRT is a C++ library that facilitates high-performance inference on NVIDIA graphics processing units (GPUs). TensorRT takes a trained network and produces a highly optimized runtime engine that performs inference for that network.

  • LayerLabelCreated
    sha256:8b6ca667fe2b96cd5a2f777221e920939e20a6d5b55c393812e8ac19d2827cf7RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 export PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))') &&
  pip install /builds/TensorRT-$TRT_VERSION/python/tensorrt-$TRT_VERSION-cp38-none-linux_aarch64.whl /builds/TensorRT-$TRT_VERSION/graphsurgeon/graphsurgeon-0.4.6-py2.py3-none-any.whl /builds/TensorRT-$TRT_VERSION/python/tensorrt-$TRT_VERSION-cp${PY}-none-linux_aarch64.whl /builds/TensorRT-$TRT_VERSION/uff/uff-0.6.9-py2.py3-none-any.whl # COPY NGC-DL-CONTAINER-LICENSE /
    		05/04/2022 9:12 PM UTC
    sha256:7ce5ba111fef717d62a6b7755f03cb70893e4b3fe44e986075ae39e8a089693bRUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 curl -O https://bootstrap.pypa.io/get-pip.py &&
  python get-pip.py &&
  rm get-pip.py
    		05/04/2022 9:11 PM UTC
    sha256:af2de84b8569cd4d6c1fcfb6cfd29b0dd55dcab0b38599579b2cf018bec077e6RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 MAJ=`echo "$PYVER" | cut -c1-1` &&
  rm -f /usr/bin/python$MAJ &&
  ln -s /usr/bin/python$PYVER /usr/bin/python$MAJ
    		05/04/2022 9:11 PM UTC
    sha256:4db3967e5ecfaea07569d1c910aa9ebee996a3b4754ae5f07eedd2cd67bdee2cRUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 rm -f /usr/bin/python &&
  ln -s /usr/bin/python$PYVER /usr/bin/python
    		05/04/2022 9:11 PM UTC
    sha256:fa72bb7463c6270f0cc98bd7f73a3aeb2495ebd350850c4faf3b050b2c795a06RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 rm -rf /var/lib/apt/lists/*
    		05/04/2022 9:11 PM UTC
    sha256:4f422d6b1ef09483d52745e3cb3cac05abddb0f903c2857001216dfa924fde48RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 apt install -f libnvinfer8 libnvinfer-plugin8 libnvparsers8 libnvonnxparsers8 python3-libnvinfer /builds/libnvinfer-bin_${TRT_LIBNVINFER_VERSION}-1+cuda11.4_arm64.deb
    		05/04/2022 9:11 PM UTC
    sha256:f113012a7b3b360acc01df80af687e1b718c7435dbc93d17427d988eefece6e3RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 apt-get update &&
  apt-get upgrade -y &&
  apt-get install -y --no-install-recommends gnupg2 curl ca-certificates &&
  curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/sbsa/3bf863cc.pub | apt-key add - &&
  echo "deb  http://cuda-internal.nvidia.com/release-candidates/kitpicks/tensorrt-rel-8-4-tegra/8.4.0/004/repos/l4t/arm64 /" > /etc/apt/sources.list.d/cuda.list &&
  apt-get update &&
  apt-get install -y --no-install-recommends gnupg2 curl ca-certificates python$PYVER $DISTUTILS git pkg-config unzip
    		05/04/2022 9:10 PM UTC
    sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
    TRT_VERSION=8.4.0.11 TRT_LIBNVINFER_VERSION=8.4.0 NVIDIA_TENSORRT_VERSION=8.4.0.11 PYVER=3.8 if [ "$PYVER" = "3.8" ]; then DISTUTILS="python3-distutils"; fi
    		05/04/2022 7:47 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    PYVER=3.8
    		05/04/2022 7:47 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_TENSORRT_VERSION=8.4.0.11
    		05/04/2022 7:47 PM UTC

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