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NVIDIA L4T TensorRT
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NVIDIA
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
sha256:72ead4630e1227d5159f7209f5bff9fcf0687916b9fd5d1fee27e1af57f097bcRUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 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 /
07/22/2022 8:10 PM UTC
sha256:a3dc856cf99d47a60f5a053edf9b3d6b522d1cd7ae31eda5e200e76ebd25480fRUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 PYVER=3.8 curl -O https://bootstrap.pypa.io/get-pip.py &&
  python get-pip.py &&
  rm get-pip.py
07/22/2022 8:10 PM UTC
sha256:6e4c8c5b520245694b30de781f532fcd1b36284d0a1c1a685d35af208754f152RUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 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
07/22/2022 8:09 PM UTC
sha256:20221549eb00980ba18fe78adeb0f8b54d9103da3859a5869dcb06eec44b9a0aRUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 PYVER=3.8 rm -f /usr/bin/python &&
  ln -s /usr/bin/python$PYVER /usr/bin/python
07/22/2022 8:09 PM UTC
sha256:e0d42b3270954ad1990be0419647cfa5486d268c555f214324b57b9185cb3763RUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 PYVER=3.8 rm -rf /var/lib/apt/lists/*
07/22/2022 8:09 PM UTC
sha256:4d23bf05af1709e900265e889ede2b4e6724121201c7a8a3c2e8cdf1a5ee4fa1RUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 PYVER=3.8 apt install -f libnvinfer8 libnvinfer-plugin8 libnvparsers8 libnvonnxparsers8 python3-libnvinfer /builds/libnvinfer-bin_${TRT_LIBNVINFER_VERSION}-1+cuda11.4_arm64.deb
07/22/2022 8:09 PM UTC
sha256:f06efd403965964e5cb92db8aefc53443b770023e425fb25376640103e26371dRUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 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/8.4.1/003/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 $DISTUTILS git pkg-config unzip
07/22/2022 8:07 PM UTC
sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1RUN
TRT_VERSION=8.4.1.5 TRT_LIBNVINFER_VERSION=8.4.1 NVIDIA_TENSORRT_VERSION=8.4.1.5 PYVER=3.8 if [ "$PYVER" = "3.8" ]; then DISTUTILS="python3-distutils"; fi
07/22/2022 7:50 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
PYVER=3.8
07/22/2022 7:50 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
NVIDIA_TENSORRT_VERSION=8.4.1.5
07/22/2022 7:50 PM UTC