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* copy changes from trt_and_mem * second edits * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * change to cuda 11.4 * build with cuda 11.4 * Update Dockerfile.ubuntu_cuda11_1_tensorrt7_2 * add cmake extra defines * cmake architectures * fix cmake arch * Delete ubuntu-18.04.Dockerfile * Rename Dockerfile.ubuntu_cuda11_1_tensorrt7_2 to Dockerfile.ubuntu_cuda11_4_tensorrt7_2 * Update linux-gpu-tensorrt-ci-perf-pipeline.yml * Update linux-gpu-tensorrt-ci-perf-pipeline.yml for Azure Pipelines * removing previous ort args * rename to cuda 11.4 * remove cuda 10_2 * delete trt 7.1 * remove 7.1 * Passing in cuda architecture to reduce build time * always add submodule sync due to recursive cloning * fix run command * add and * take away unused arms and share python installation script * Update linux-gpu-tensorrt-ci-perf-pipeline.yml * Update Dockerfile.tensorrt * cleanup file * install python directly on dockerfile - move to scripts in future * Update Dockerfile.custom-trt-perf * adding cuda 11.1 for missing Libnvrtc.so.11.1 * Delete install_python.sh
31 lines
1.6 KiB
Text
31 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_VERSION=21.07
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FROM nvcr.io/nvidia/tensorrt:${TRT_VERSION}-py3
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ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
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ARG ONNXRUNTIME_BRANCH=master
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ARG CMAKE_CUDA_ARCHITECTURES=37;50;52;60;61;70;75;80
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RUN apt-get update &&\
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apt-get install -y sudo git bash unattended-upgrades
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RUN unattended-upgrade
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WORKDIR /code
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ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.21.0-linux-x86_64/bin:/opt/miniconda/bin:${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 ${ONNXRUNTIME_REPO} onnxruntime &&\
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/bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh &&\
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cp onnxruntime/docs/Privacy.md /code/Privacy.md &&\
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cp onnxruntime/dockerfiles/LICENSE-IMAGE.txt /code/LICENSE-IMAGE.txt &&\
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cp onnxruntime/ThirdPartyNotices.txt /code/ThirdPartyNotices.txt &&\
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cd onnxruntime &&\
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/bin/sh ./build.sh --parallel --skip_submodule_sync --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /workspace/tensorrt --config Release --build_wheel --update --build --cmake_extra_defines ONNXRUNTIME_VERSION=$(cat ./VERSION_NUMBER) "'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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