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# --------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# --------------------------------------------------------------
# Dockerfile to run ONNXRuntime with TensorRT integration
# nVidia TensorRT Base Image
ARG TRT_CONTAINER_VERSION=22.12
FROM nvcr.io/nvidia/tensorrt:${TRT_CONTAINER_VERSION}-py3
ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
ARG ONNXRUNTIME_BRANCH=main
# Adjust as needed
# Check your CUDA arch: https://developer.nvidia.com/cuda-gpus
ARG CMAKE_CUDA_ARCHITECTURES=75;80;90
RUN apt-get update &&\
apt-get install -y sudo git bash unattended-upgrades
RUN unattended-upgrade
WORKDIR /code
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.27.3-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
# Prepare onnxruntime repository & build onnxruntime with TensorRT
RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\
/bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh &&\
trt_version=${TRT_VERSION:0:3} &&\
/bin/sh onnxruntime/dockerfiles/scripts/checkout_submodules.sh ${trt_version} &&\
cd onnxruntime &&\
/bin/sh build.sh --allow_running_as_root --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"' &&\
pip install /code/onnxruntime/build/Linux/Release/dist/*.whl &&\
cd ..
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