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build.sh
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#!/usr/bin/env bash
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
ARGS=`getopt -a -o w:n:h:hs:tv -l WITH_GPU:,docker_name:,http_proxy:,https_proxy:,trt_version: -- "$@"`
eval set -- "${ARGS}"
echo "parse start"
while true
do
case "$1" in
-w|--WITH_GPU)
WITH_GPU="$2"
shift;;
-n|--docker_name)
docker_name="$2"
shift;;
-h|--http_proxy)
http_proxy="$2"
shift;;
-hs|--https_proxy)
https_proxy="$2"
shift;;
-tv|--trt_version)
trt_version="$2"
shift;;
--)
shift
break;;
esac
shift
done
if [ -z $WITH_GPU ];then
WITH_GPU="ON"
fi
if [ -z $docker_name ];then
docker_name="build_fd"
fi
if [ $WITH_GPU == "ON" ]; then
if [ -z $trt_version ]; then
# The optional value of trt_version: ["8.4.1.5", "8.5.2.2"]
trt_version="8.5.2.2"
fi
if [ $trt_version == "8.5.2.2" ]
then
cuda_version="11.8"
cudnn_version="8.6"
else
cuda_version="11.6"
cudnn_version="8.4"
fi
echo "start build FD GPU library"
if [ ! -d "./cmake-3.18.6-Linux-x86_64/" ]; then
wget https://github.com/Kitware/CMake/releases/download/v3.18.6/cmake-3.18.6-Linux-x86_64.tar.gz
tar -zxvf cmake-3.18.6-Linux-x86_64.tar.gz
rm -rf cmake-3.18.6-Linux-x86_64.tar.gz
fi
if [ ! -d "./TensorRT-${trt_version}/" ]; then
wget https://fastdeploy.bj.bcebos.com/resource/TensorRT/TensorRT-${trt_version}.Linux.x86_64-gnu.cuda-${cuda_version}.cudnn${cudnn_version}.tar.gz
tar -zxvf TensorRT-${trt_version}.Linux.x86_64-gnu.cuda-${cuda_version}.cudnn${cudnn_version}.tar.gz
rm -rf TensorRT-${trt_version}.Linux.x86_64-gnu.cuda-${cuda_version}.cudnn${cudnn_version}.tar.gz
fi
nvidia-docker run -i --rm --name ${docker_name} \
-v`pwd`/..:/workspace/fastdeploy \
-e "http_proxy=${http_proxy}" \
-e "https_proxy=${https_proxy}" \
-e "trt_version=${trt_version}"\
nvidia/cuda:11.2.2-cudnn8-devel-ubuntu20.04 \
bash -c \
'export https_proxy_tmp=${https_proxy}
export http_proxy_tmp=${http_proxy}
cd /workspace/fastdeploy/python;
rm -rf .setuptools-cmake-build dist build fastdeploy/libs/third_libs;
apt-get update;
apt-get install -y --no-install-recommends patchelf python3-dev python3-pip rapidjson-dev git;
unset http_proxy
unset https_proxy
ln -s /usr/bin/python3 /usr/bin/python;
export PATH=/workspace/fastdeploy/serving/cmake-3.18.6-Linux-x86_64/bin:$PATH;
export WITH_GPU=ON;
export ENABLE_TRT_BACKEND=OFF;
export TRT_DIRECTORY=/workspace/fastdeploy/serving/TensorRT-${trt_version}/;
export ENABLE_ORT_BACKEND=OFF;
export ENABLE_PADDLE_BACKEND=OFF;
export ENABLE_OPENVINO_BACKEND=OFF;
export ENABLE_VISION=ON;
export ENABLE_TEXT=ON;
python setup.py build;
python setup.py bdist_wheel;
cd /workspace/fastdeploy;
rm -rf build; mkdir -p build;cd build;
cmake .. -DENABLE_TRT_BACKEND=ON -DCMAKE_INSTALL_PREFIX=${PWD}/fastdeploy_install -DWITH_GPU=ON -DTRT_DIRECTORY=/workspace/fastdeploy/serving/TensorRT-${trt_version}/ -DENABLE_PADDLE_BACKEND=ON -DENABLE_ORT_BACKEND=ON -DENABLE_OPENVINO_BACKEND=ON -DENABLE_VISION=OFF -DBUILD_FASTDEPLOY_PYTHON=OFF -DENABLE_PADDLE2ONNX=ON -DENABLE_TEXT=OFF -DLIBRARY_NAME=fastdeploy_runtime;
make -j`nproc`;
make install;
cd /workspace/fastdeploy/serving;
rm -rf build; mkdir build; cd build;
export https_proxy=${https_proxy_tmp}
export http_proxy=${http_proxy_tmp}
cmake .. -DFASTDEPLOY_DIR=/workspace/fastdeploy/build/fastdeploy_install -DTRITON_COMMON_REPO_TAG=r21.10 -DTRITON_CORE_REPO_TAG=r21.10 -DTRITON_BACKEND_REPO_TAG=r21.10;
make -j`nproc`'
echo "build FD GPU library done"
else
echo "start build FD CPU library"
docker run -i --rm --name ${docker_name} \
-v`pwd`/..:/workspace/fastdeploy \
-e "http_proxy=${http_proxy}" \
-e "https_proxy=${https_proxy}" \
paddlepaddle/fastdeploy:21.10-cpu-only-buildbase \
bash -c \
'export https_proxy_tmp=${https_proxy}
export http_proxy_tmp=${http_proxy}
cd /workspace/fastdeploy/python;
rm -rf .setuptools-cmake-build dist build fastdeploy/libs/third_libs;
ln -s /usr/bin/python3 /usr/bin/python;
export WITH_GPU=OFF;
export ENABLE_ORT_BACKEND=OFF;
export ENABLE_PADDLE_BACKEND=OFF;
export ENABLE_OPENVINO_BACKEND=OFF;
export ENABLE_VISION=ON;
export ENABLE_TEXT=ON;
unset http_proxy
unset https_proxy
python setup.py build;
python setup.py bdist_wheel;
cd /workspace/fastdeploy;
rm -rf build; mkdir build; cd build;
cmake .. -DENABLE_TRT_BACKEND=OFF -DCMAKE_INSTALL_PREFIX=${PWD}/fastdeploy_install -DWITH_GPU=OFF -DENABLE_PADDLE_BACKEND=ON -DENABLE_ORT_BACKEND=ON -DENABLE_OPENVINO_BACKEND=ON -DENABLE_VISION=OFF -DBUILD_FASTDEPLOY_PYTHON=OFF -DENABLE_PADDLE2ONNX=ON -DENABLE_TEXT=OFF -DLIBRARY_NAME=fastdeploy_runtime;
make -j`nproc`;
make install;
cd /workspace/fastdeploy/serving;
rm -rf build; mkdir build; cd build;
export https_proxy=${https_proxy_tmp}
export http_proxy=${http_proxy_tmp}
cmake .. -DTRITON_ENABLE_GPU=OFF -DFASTDEPLOY_DIR=/workspace/fastdeploy/build/fastdeploy_install -DTRITON_COMMON_REPO_TAG=r21.10 -DTRITON_CORE_REPO_TAG=r21.10 -DTRITON_BACKEND_REPO_TAG=r21.10;
make -j`nproc`'
echo "build FD CPU library done"
fi