mirror of
https://github.com/saymrwulf/onnxruntime.git
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c6b0d185b4
### Description 1. Update docker files and their build instructions. ARM64 and x86_64 can use the same docker file. 2. Upgrade Linux CUDA pipeline's base docker image from CentOS7 to UBI8 AB#18990
30 lines
1.6 KiB
Text
30 lines
1.6 KiB
Text
# --------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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# --------------------------------------------------------------
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# Dockerfile to run ONNXRuntime with TensorRT integration
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# nVidia TensorRT Base Image
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ARG TRT_CONTAINER_VERSION=22.12
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FROM nvcr.io/nvidia/tensorrt:${TRT_CONTAINER_VERSION}-py3
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ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
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ARG ONNXRUNTIME_BRANCH=main
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ARG CMAKE_CUDA_ARCHITECTURES=37;50;52;60;61;70;75;80
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RUN apt-get update &&\
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apt-get install -y sudo git bash unattended-upgrades
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RUN unattended-upgrade
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WORKDIR /code
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ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.27.3-linux-x86_64/bin:/opt/miniconda/bin:${PATH}
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# Prepare onnxruntime repository & build onnxruntime with TensorRT
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RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\
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/bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh &&\
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trt_version=${TRT_VERSION:0:3} &&\
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/bin/sh onnxruntime/dockerfiles/scripts/checkout_submodules.sh ${trt_version} &&\
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cd onnxruntime &&\
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/bin/sh build.sh --allow_running_as_root --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"' &&\
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pip install /code/onnxruntime/build/Linux/Release/dist/*.whl &&\
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cd ..
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