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:fcd28b80a69f2fe0ac0b13b94ba95058e19c1ecaf5feefd286c5e9fd39200b9aRUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 rm -rf /var/lib/apt/lists/*
    06/20/2023 10:31 PM UTC
    sha256:c7e85e2935940b753c572c230c8415d79a475e6df576bb6bda3706e14d1aef63RUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 rm /etc/apt/sources.list.d/trt.list
    06/20/2023 10:31 PM UTC
    sha256:1e5b7f92c48ee15d31e8b7d2646caa5c12c7cd5dd773c2d832197065757f376cCOPY
    NGC-DL-CONTAINER-LICENSE /
    06/20/2023 10:31 PM UTC
    sha256:c360d7ad03838611406c404673aa96a8f6553c09106f8319bc878d5ffd933d13RUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
    06/20/2023 10:31 PM UTC
    sha256:96522cfcf007c707020aa1aa1978f0b58112a9b61b0bd47548d8d592b4a75605RUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 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_FULL}/graphsurgeon/graphsurgeon-0.4.6-py2.py3-none-any.whl /builds/TensorRT-${TRT_VERSION_FULL}/python/tensorrt-${TRT_VERSION_FULL}-cp${PY}-none-linux_aarch64.whl /builds/TensorRT-${TRT_VERSION_FULL}/uff/uff-0.6.9-py2.py3-none-any.whl /builds/TensorRT-${TRT_VERSION_FULL}/onnx_graphsurgeon/onnx_graphsurgeon-0.3.12-py2.py3-none-any.whl
    06/20/2023 10:31 PM UTC
    sha256:ee2cd1b9c0488c1d0650eda0f3a4d3ccb94c897ad37d442f53811a6fbf82f0c3RUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 apt update &&
      apt install -f -y protobuf-compiler libprotobuf-dev
    06/20/2023 10:30 PM UTC
    sha256:2dcad427d07d34943d13a817816668fb9d530b6eb38970d24c16cf945e4a029cRUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 pip install --upgrade --no-cache-dir numpy &&
      pip install --upgrade --no-cache-dir pycuda pillow
    06/20/2023 10:30 PM UTC
    sha256:8a098b1e8ed24fa5e0beecc1af4c955ababa292d32978d7d31e5a02b51140ea3RUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 curl -O https://bootstrap.pypa.io/get-pip.py &&
      python get-pip.py &&
      rm get-pip.py
    06/20/2023 10:17 PM UTC
    sha256:08494beaf8de59dfbb2ba11bf0cd1dd0889eca88bed7e86223ab405105deb84cRUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 MAJ=`echo "$PYVER" | cut -c1-1` &&
      rm -f /usr/bin/python$MAJ &&
      ln -s /usr/bin/python$PYVER /usr/bin/python$MAJ
    06/20/2023 10:17 PM UTC
    sha256:127e74aced155e911af0d7514edab5d484650f320cda08bb1bb6808a51c36cfcRUN
    CUDA_VERSION=11.4.19 CUDA_VERSION_MAJOR_MINOR=11.4 CUDA_KITPICK_RC_VERSION=005 TRT_VERSION_MAJOR_MINOR_HYPHEN=8-5 TRT_VERSION=8.5.2 TRT_VERSION_FULL=8.5.2.2 TRT_LIBNVINFER_VERSION=8.5.2 TRT_KITPICK_RC_VERSION=002 NVIDIA_TENSORRT_VERSION=8.5.2 PYVER=3.8 rm -f /usr/bin/python &&
      ln -s /usr/bin/python$PYVER /usr/bin/python
    06/20/2023 10:17 PM UTC
    ...

    NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.