mirror of
https://github.com/saymrwulf/onnxruntime.git
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0510688411
1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths. 2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it. 3. Fix some parentheses warnings 4. Update cmake to the latest. 5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it.
30 lines
1.5 KiB
Text
30 lines
1.5 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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FROM nvcr.io/nvidia/tensorrt:20.12-py3
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ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
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ARG ONNXRUNTIME_BRANCH=master
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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-3.21.0-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 ${ONNXRUNTIME_REPO} onnxruntime &&\
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/bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh &&\
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cp onnxruntime/docs/Privacy.md /code/Privacy.md &&\
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cp onnxruntime/dockerfiles/LICENSE-IMAGE.txt /code/LICENSE-IMAGE.txt &&\
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cp onnxruntime/ThirdPartyNotices.txt /code/ThirdPartyNotices.txt &&\
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cd onnxruntime &&\
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/bin/sh ./build.sh --parallel --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /workspace/tensorrt --config Release --build_wheel --update --build --cmake_extra_defines ONNXRUNTIME_VERSION=$(cat ./VERSION_NUMBER) &&\
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pip install /code/onnxruntime/build/Linux/Release/dist/*.whl &&\
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cd .. &&\
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rm -rf onnxruntime cmake-3.21.0-linux-x86_64
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