# Copyright (c) OpenMMLab. All rights reserved. import os import sys import time from ubuntu_utils import cmd_result, ensure_base_env, get_job g_jobs = 2 def install_pplcv(dep_dir, build_cuda): print('-' * 10 + 'install pplcv' + '-' * 10) time.sleep(2) os.chdir(dep_dir) pplcv_dir = os.path.join(dep_dir, 'ppl.cv') # git clone if not os.path.exists(pplcv_dir): os.system( 'git clone --depth 1 --branch v0.7.0 https://github.com/openppl-public/ppl.cv/' # noqa: E501 ) # build os.chdir(pplcv_dir) if build_cuda is True: os.system('./build.sh cuda') pplcv_cmake_dir = os.path.join(pplcv_dir, 'cuda-build/install/lib/cmake/ppl') else: os.system('./build.sh x86_64') pplcv_cmake_dir = os.path.join(pplcv_dir, 'x86-64-build/install/lib/cmake/ppl') print('\n') return pplcv_cmake_dir def install_pplnn(dep_dir, build_cuda): print('-' * 10 + 'install pplnn' + '-' * 10) time.sleep(2) # generate unzip and build dir os.chdir(dep_dir) pplnn_dir = os.path.join(dep_dir, 'ppl.nn') # git clone if not os.path.exists(pplnn_dir): os.system( 'git clone --depth 1 --branch v0.8.2 https://github.com/openppl-public/ppl.nn/' # noqa: E501 ) # build os.chdir(pplnn_dir) if build_cuda is True: os.system( './build.sh -DPPLNN_USE_CUDA=ON -DPPLNN_USE_X86_64=ON -DPPLNN_ENABLE_PYTHON_API=ON' # noqa: E501 ) else: os.system( './build.sh -DPPLNN_USE_X86_64=ON -DPPLNN_ENABLE_PYTHON_API=ON' # noqa: E501 ) os.system('cd python/package && ./build.sh') os.system( 'cd /tmp/pyppl-package/dist && python3 -m pip install pyppl*.whl --force-reinstall' # noqa: E501 ) pplnn_cmake_dir = os.path.join(pplnn_dir, 'pplnn-build/install/lib/cmake/ppl') print('\n') return pplnn_cmake_dir def install_mmdeploy(work_dir, pplnn_cmake_dir, pplcv_cmake_dir, build_cuda): print('-' * 10 + 'build and install mmdeploy' + '-' * 10) time.sleep(3) os.chdir(work_dir) os.system('git submodule init') os.system('git submodule update') if not os.path.exists('build'): os.system('mkdir build') cmd = 'cd build && cmake ..' cmd += ' -DCMAKE_C_COMPILER=gcc-7 ' cmd += ' -DCMAKE_CXX_COMPILER=g++-7 ' cmd += ' -DMMDEPLOY_BUILD_SDK=ON ' cmd += ' -DMMDEPLOY_BUILD_EXAMPLES=ON ' cmd += ' -DMMDEPLOY_BUILD_SDK_PYTHON_API=ON ' cmd += ' -DMMDEPLOY_TARGET_BACKENDS=pplnn ' if build_cuda is True: cmd += ' -DMMDEPLOY_TARGET_DEVICES="cuda;cpu" ' else: cmd += ' -DMMDEPLOY_TARGET_DEVICES=cpu ' cmd += ' -Dpplcv_DIR={} '.format(pplcv_cmake_dir) cmd += ' -Dpplnn_DIR={} '.format(pplnn_cmake_dir) os.system(cmd) os.system('cd build && make -j {} && make install'.format(g_jobs)) os.system('python3 -m pip install -e .') os.system('python3 tools/check_env.py') return 0 def main(): """Auto install mmdeploy with pplnn. To verify this script: 1) use `sudo docker run -v /path/to/mmdeploy:/root/mmdeploy -v /path/to/Miniconda3-latest-Linux-x86_64.sh:/root/miniconda.sh -it ubuntu:18.04 /bin/bash` # noqa: E501 2) install conda and setup python environment 3) run `python3 tools/scripts/build_ubuntu_x64_pplnn.py` Returns: _type_: _description_ """ global g_jobs g_jobs = get_job(sys.argv) print('g_jobs {}'.format(g_jobs)) work_dir = os.path.abspath(os.path.join(__file__, '..', '..', '..')) dep_dir = os.path.abspath(os.path.join(work_dir, '..', 'mmdeploy-dep')) if not os.path.exists(dep_dir): if os.path.isfile(dep_dir): print('{} already exists and it is a file, exit.'.format(work_dir)) return -1 os.mkdir(dep_dir) success, envs = ensure_base_env(work_dir, dep_dir) if success != 0: return -1 # enable g++ and gcc gplus = cmd_result('which g++') if gplus is None or len(gplus) < 1: sudo = 'sudo' if 'root' in cmd_result('whoami'): sudo = '' os.system( '{} update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 200' # noqa: E501 .format(sudo)) os.system( '{} update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-7 200' # noqa: E501 .format(sudo)) # install pplcv and pplnn nvcc = cmd_result('which nvcc') build_cuda = False if nvcc is not None and len(nvcc) > 1: build_cuda = True pplcv_cmake_dir = install_pplcv(dep_dir, build_cuda) pplnn_cmake_dir = install_pplnn(dep_dir, build_cuda) if install_mmdeploy(work_dir, pplnn_cmake_dir, pplcv_cmake_dir, build_cuda) != 0: return -1 if len(envs) > 0: print( 'We recommend that you set the following environment variables:\n') for env in envs: print(env) print('\n') if __name__ == '__main__': main()