Open PredyDaddy opened 6 months ago
are you still seeing the error? the failure message from git clone reads like a server side transient issue.
are you still seeing the error? the failure message from git clone reads like a server side transient issue.
still have the problem, then I use CUDAExecutionProvider.
Describe the issue
I try to build onnxruntime with tensorrt provider using onnxruntime-main/tools/ci_build/github/linux/docker/Dockerfile.ubuntu_cuda11_8_tensorrt8_6 and onnxruntime-main/dockerfile/Dockerfile.tensorrt
all get same result
then I entry the container install having follow trouble
Urgency
No response
Target platform
1080Ti
Build script
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Copyright (c) Microsoft Corporation. All rights reserved.
Licensed under the MIT License.
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Dockerfile to run ONNXRuntime with TensorRT integration
Build base image with required system packages
FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu20.04 AS base
The local directory into which to build and install CMAKE
ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/src/tensorrt/bin:${ONNXRUNTIME_LOCAL_CODE_DIR}/cmake-3.27.3-linux-x86_64/bin:/opt/miniconda/bin:${PATH} ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update &&\ apt-get install -y sudo git bash unattended-upgrades wget RUN unattended-upgrade
Install python3
RUN apt-get install -y --no-install-recommends \ python3 \ python3-pip \ python3-dev \ python3-wheel &&\ cd /usr/local/bin &&\ ln -s /usr/bin/python3 python &&\ ln -s /usr/bin/pip3 pip;
RUN pip install --upgrade pip RUN pip install setuptools>=68.2.2
Install TensorRT
RUN v="8.6.1.6-1+cuda11.8" &&\ apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub &&\ apt-get update &&\ sudo apt-get install -y libnvinfer8=${v} libnvonnxparsers8=${v} libnvparsers8=${v} libnvinfer-plugin8=${v} libnvinfer-lean8=${v} libnvinfer-vc-plugin8=${v} libnvinfer-dispatch8=${v}\ libnvinfer-headers-dev=${v} libnvinfer-headers-plugin-dev=${v} libnvinfer-dev=${v} libnvonnxparsers-dev=${v} libnvparsers-dev=${v} libnvinfer-plugin-dev=${v} libnvinfer-lean-dev=${v} libnvinfer-vc-plugin-dev=${v} libnvinfer-dispatch-dev=${v}\ python3-libnvinfer=${v} libnvinfer-samples=${v} tensorrt-dev=${v} tensorrt-libs=${v}
Compile trtexec
RUN cd /usr/src/tensorrt/samples/trtexec && make
Install Valgrind
RUN apt-get install -y valgrind
Build final image from base. Builds ORT.
FROM base as final ARG BUILD_USER=onnxruntimedev ARG BUILD_UID=1000 RUN adduser --gecos 'onnxruntime Build User' --disabled-password $BUILD_USER --uid $BUILD_UID USER $BUILD_USER
ONNX Runtime arguments
URL to the github repo from which to clone ORT.
ARG ONNXRUNTIME_REPO=https://github.com/Microsoft/onnxruntime
The local directory into which to clone ORT.
ARG ONNXRUNTIME_LOCAL_CODE_DIR=/code
The git branch of ORT to checkout and build.
ARG ONNXRUNTIME_BRANCH=main
Optional. The specific commit to pull and build from. If not set, the latest commit is used.
ARG ONNXRUNTIME_COMMIT_ID
The supported CUDA architecture
ARG CMAKE_CUDA_ARCHITECTURES=75
WORKDIR ${ONNXRUNTIME_LOCAL_CODE_DIR}
Clone ORT repository with branch
RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXRUNTIME_REPO} onnxruntime &&\ /bin/sh onnxruntime/dockerfiles/scripts/install_common_deps.sh
WORKDIR ${ONNXRUNTIME_LOCAL_CODE_DIR}/onnxruntime
Reset to a specific commit if specified by build args.
RUN if [ -z "$ONNXRUNTIME_COMMIT_ID" ] ; then echo "Building branch ${ONNXRUNTIME_BRANCH}" ;\ else echo "Building branch ${ONNXRUNTIME_BRANCH} @ commit ${ONNXRUNTIME_COMMIT_ID}" &&\ git reset --hard ${ONNXRUNTIME_COMMIT_ID} && git submodule update --recursive ; fi
Build ORT
ENV CUDA_MODULE_LOADING "LAZY" ARG PARSER_CONFIG="" RUN /bin/sh build.sh ${PARSER_CONFIG} --parallel --build_shared_lib --cuda_home /usr/local/cuda --cudnn_home /usr/lib/x86_64-linux-gnu/ --use_tensorrt --tensorrt_home /usr/lib/x86_64-linux-gnu/ --config Release --build_wheel --skip_tests --skip_submodule_sync --cmake_extra_defines '"CMAKE_CUDA_ARCHITECTURES='${CMAKE_CUDA_ARCHITECTURES}'"'
Switch to root to continue following steps of CI
USER root
Intall ORT wheel
RUN pip install ${ONNXRUNTIME_LOCAL_CODE_DIR}/onnxruntime/build/Linux/Release/dist/*.whl
Error / output
Visual Studio Version
No response
GCC / Compiler Version
No response