add config module

setup.py

+import os
+
+from pkg_resources import parse_version
+from setuptools import find_packages, setup
+
+EXT_TYPE = ''
+try:
+    import torch
+    from torch.utils.cpp_extension import BuildExtension
+    cmd_class = {'build_ext': BuildExtension}
+    EXT_TYPE = 'torch'
+except ModuleNotFoundError:
+    cmd_class = {}
+    print('Skip building ext ops due to the absence of torch.')
+pwd = os.path.dirname(__file__)
+version_file = 'mmdeploy/version.py'
+
+
+def readme():
+    with open(os.path.join(pwd, 'README.md'), encoding='utf-8') as f:
+        content = f.read()
+    return content
+
+
+def get_version():
+    with open(os.path.join(pwd, version_file), 'r') as f:
+        exec(compile(f.read(), version_file, 'exec'))
+    return locals()['__version__']
+
+
+def parse_requirements(fname='requirements.txt', with_version=True):
+    """Parse the package dependencies listed in a file but strips specific
+    versioning information.
+
+    Args:
+        fname (str): path to the file
+        with_version (bool, default=False): if True include version specs
+
+    Returns:
+        List[str]: list of requirements items
+
+    CommandLine:
+        python -c "import setup; print(setup.parse_requirements())"
+    """
+    import re
+    import sys
+    from os.path import exists
+    require_fpath = fname
+
+    def parse_line(line):
+        """Parse information from a line in a requirements text file."""
+        if line.startswith('-r '):
+            # Allow specifying requirements in other files
+            target = line.split(' ')[1]
+            for info in parse_require_file(target):
+                yield info
+        else:
+            info = {'line': line}
+            if line.startswith('-e '):
+                info['package'] = line.split('#egg=')[1]
+            elif '@git+' in line:
+                info['package'] = line
+            else:
+                # Remove versioning from the package
+                pat = '(' + '|'.join(['>=', '==', '>']) + ')'
+                parts = re.split(pat, line, maxsplit=1)
+                parts = [p.strip() for p in parts]
+
+                info['package'] = parts[0]
+                if len(parts) > 1:
+                    op, rest = parts[1:]
+                    if ';' in rest:
+                        # Handle platform specific dependencies
+                        # http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
+                        version, platform_deps = map(str.strip,
+                                                     rest.split(';'))
+                        info['platform_deps'] = platform_deps
+                    else:
+                        version = rest  # NOQA
+                    info['version'] = (op, version)
+            yield info
+
+    def parse_require_file(fpath):
+        with open(fpath, 'r') as f:
+            for line in f.readlines():
+                line = line.strip()
+                if line and not line.startswith('#'):
+                    for info in parse_line(line):
+                        yield info
+
+    def gen_packages_items():
+        if exists(require_fpath):
+            for info in parse_require_file(require_fpath):
+                parts = [info['package']]
+                if with_version and 'version' in info:
+                    parts.extend(info['version'])
+                if not sys.version.startswith('3.4'):
+                    # apparently package_deps are broken in 3.4
+                    platform_deps = info.get('platform_deps')
+                    if platform_deps is not None:
+                        parts.append(';' + platform_deps)
+                item = ''.join(parts)
+                yield item
+
+    packages = list(gen_packages_items())
+    return packages
+
+
+def get_extensions():
+    extensions = []
+    ext_name = 'mmdeploy.backend.torchscript.ts_optimizer'
+
+    if EXT_TYPE == 'torch':
+        import glob
+        import platform
+
+        from torch.utils.cpp_extension import CppExtension
+
+        try:
+            import psutil
+            num_cpu = len(psutil.Process().cpu_affinity())
+            cpu_use = max(4, num_cpu - 1)
+        except (ModuleNotFoundError, AttributeError):
+            cpu_use = 4
+
+        os.environ.setdefault('MAX_JOBS', str(cpu_use))
+        define_macros = []
+
+        # Before PyTorch1.8.0, when compiling CUDA code, `cxx` is a
+        # required key passed to PyTorch. Even if there is no flag passed
+        # to cxx, users also need to pass an empty list to PyTorch.
+        # Since PyTorch1.8.0, it has a default value so users do not need
+        # to pass an empty list anymore.
+        # More details at https://github.com/pytorch/pytorch/pull/45956
+        extra_compile_args = {'cxx': []}
+
+        # c++14 is required.
+        # However, in the windows environment, some standard libraries
+        # will depend on c++17 or higher. In fact, for the windows
+        # environment, the compiler will choose the appropriate compiler
+        # to compile those cpp files, so there is no need to add the
+        # argument
+        if platform.system() != 'Windows':
+            if parse_version(torch.__version__) <= parse_version('1.12.1'):
+                extra_compile_args['cxx'] = ['-std=c++14']
+            else:
+                extra_compile_args['cxx'] = ['-std=c++17']
+
+        include_dirs = []
+
+        op_files = glob.glob(
+            './csrc/mmdeploy/backend_ops/torchscript/optimizer/*.cpp'
+        ) + glob.glob(
+            './csrc/mmdeploy/backend_ops/torchscript/optimizer/ir/*.cpp'
+        ) + glob.glob(
+            './csrc/mmdeploy/backend_ops/torchscript/optimizer/passes'
+            '/onnx/*.cpp')
+        extension = CppExtension
+
+        # c++14 is required.
+        # However, in the windows environment, some standard libraries
+        # will depend on c++17 or higher. In fact, for the windows
+        # environment, the compiler will choose the appropriate compiler
+        # to compile those cpp files, so there is no need to add the
+        # argument
+        if 'nvcc' in extra_compile_args and platform.system() != 'Windows':
+            if parse_version(torch.__version__) <= parse_version('1.12.1'):
+                extra_compile_args['nvcc'] += ['-std=c++14']
+            else:
+                extra_compile_args['nvcc'] += ['-std=c++17']
+
+        ext_ops = extension(
+            name=ext_name,
+            sources=op_files,
+            include_dirs=include_dirs,
+            define_macros=define_macros,
+            extra_compile_args=extra_compile_args)
+        extensions.append(ext_ops)
+
+    return extensions
+
+
+if __name__ == '__main__':
+    setup(
+        name='mmdeploy',
+        version=get_version(),
+        description='OpenMMLab Model Deployment',
+        long_description=readme(),
+        long_description_content_type='text/markdown',
+        author='OpenMMLab',
+        author_email='openmmlab@gmail.com',
+        keywords='computer vision, model deployment',
+        url='https://github.com/open-mmlab/mmdeploy',
+        packages=find_packages(exclude=('configs', 'tools')),
+        include_package_data=True,
+        classifiers=[
+            'Development Status :: 3 - Alpha',
+            'License :: OSI Approved :: Apache Software License',
+            'Operating System :: OS Independent',
+            'Programming Language :: Python :: 3',
+            'Programming Language :: Python :: 3.6',
+            'Programming Language :: Python :: 3.7',
+            'Programming Language :: Python :: 3.8',
+        ],
+        license='Apache License 2.0',
+        setup_requires=parse_requirements('requirements/build.txt'),
+        tests_require=parse_requirements('requirements/tests.txt'),
+        install_requires=parse_requirements('requirements/runtime.txt'),
+        extras_require={
+            'all': parse_requirements('requirements.txt'),
+            'tests': parse_requirements('requirements/tests.txt'),
+            'build': parse_requirements('requirements/build.txt'),
+            'optional': parse_requirements('requirements/optional.txt'),
+        },
+        ext_modules=get_extensions(),
+        cmdclass=cmd_class,
+        zip_safe=False)