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794 lines
26 KiB
794 lines
26 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import re
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import six
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import sys
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import copy
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import glob
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import logging
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import collections
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import textwrap
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import warnings
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import subprocess
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from contextlib import contextmanager
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from setuptools.command import bdist_egg
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from .. import load_op_library
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from ...fluid import core
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from ...fluid.framework import OpProtoHolder
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from ...sysconfig import get_include, get_lib
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logging.basicConfig(
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format='%(asctime)s - %(levelname)s - %(message)s', level=logging.INFO)
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logger = logging.getLogger("utils.cpp_extension")
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OS_NAME = sys.platform
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IS_WINDOWS = OS_NAME.startswith('win')
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MSVC_COMPILE_FLAGS = [
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'/MT', '/wd4819', '/wd4251', '/wd4244', '/wd4267', '/wd4275', '/wd4018',
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'/wd4190', '/EHsc', '/w', '/DPADDLE_WITH_CUDA', '/DEIGEN_USE_GPU',
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'/DNDEBUG'
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]
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MSVC_LINK_FLAGS = [
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'/MACHINE:X64', 'paddle_framework.lib', 'cudadevrt.lib', 'cudart_static.lib'
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]
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COMMON_NVCC_FLAGS = [
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'-DPADDLE_WITH_CUDA', '-DEIGEN_USE_GPU', '-DPADDLE_USE_DSO', '-O3'
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]
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GCC_MINI_VERSION = (5, 4, 0)
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# Give warning if using wrong compiler
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WRONG_COMPILER_WARNING = '''
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*************************************
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* Compiler Compatibility WARNING *
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*************************************
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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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Found that your compiler ({user_compiler}) is not compatible with the compiler
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built Paddle for this platform, which is {paddle_compiler} on {platform}. Please
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use {paddle_compiler} to compile your custom op. Or you may compile Paddle from
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source using {user_compiler}, and then also use it compile your custom op.
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See https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/2.0/install/compile/linux-compile.html
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for help with compiling Paddle from source.
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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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'''
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# Give warning if used compiler version is incompatible
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ABI_INCOMPATIBILITY_WARNING = '''
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**********************************
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* ABI Compatibility WARNING *
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**********************************
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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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Found that your compiler ({user_compiler} == {version}) may be ABI-incompatible with pre-installed Paddle!
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Please use compiler that is ABI-compatible with GCC >= 5.4 (Recommended 8.2).
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See https://gcc.gnu.org/onlinedocs/libstdc++/manual/abi.html for ABI Compatibility
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information
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!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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'''
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USING_NEW_CUSTOM_OP_LOAD_METHOD = True
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# NOTE(chenweihang): In order to be compatible with
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# the two custom op define method, after removing
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# old method, we can remove them together
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def use_new_custom_op_load_method(*args):
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global USING_NEW_CUSTOM_OP_LOAD_METHOD
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if len(args) == 0:
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return USING_NEW_CUSTOM_OP_LOAD_METHOD
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else:
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assert len(args) == 1 and isinstance(args[0], bool)
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USING_NEW_CUSTOM_OP_LOAD_METHOD = args[0]
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@contextmanager
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def bootstrap_context():
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"""
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Context to manage how to write `__bootstrap__` code in .egg
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"""
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origin_write_stub = bdist_egg.write_stub
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bdist_egg.write_stub = custom_write_stub
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yield
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bdist_egg.write_stub = origin_write_stub
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def load_op_meta_info_and_register_op(lib_filename):
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if USING_NEW_CUSTOM_OP_LOAD_METHOD:
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core.load_op_meta_info_and_register_op(lib_filename)
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else:
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core.load_op_library(lib_filename)
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return OpProtoHolder.instance().update_op_proto()
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def custom_write_stub(resource, pyfile):
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"""
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Customized write_stub function to allow us to inject generated python
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api codes into egg python file.
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"""
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_stub_template = textwrap.dedent("""
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import os
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import sys
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import types
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import paddle
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def inject_ext_module(module_name, api_names):
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if module_name in sys.modules:
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return sys.modules[module_name]
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new_module = types.ModuleType(module_name)
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for api_name in api_names:
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setattr(new_module, api_name, eval(api_name))
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return new_module
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def __bootstrap__():
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cur_dir = os.path.dirname(os.path.abspath(__file__))
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so_path = os.path.join(cur_dir, "{resource}")
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assert os.path.exists(so_path)
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# load custom op shared library with abs path
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new_custom_ops = paddle.utils.cpp_extension.load_op_meta_info_and_register_op(so_path)
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m = inject_ext_module(__name__, new_custom_ops)
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__bootstrap__()
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{custom_api}
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""").lstrip()
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# Parse registerring op information
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_, op_info = CustomOpInfo.instance().last()
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so_path = op_info.so_path
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new_custom_ops = load_op_meta_info_and_register_op(so_path)
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assert len(
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new_custom_ops
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) > 0, "Required at least one custom operators, but received len(custom_op) = %d" % len(
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new_custom_ops)
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# NOTE: To avoid importing .so file instead of python file because they have same name,
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# we rename .so shared library to another name, see EasyInstallCommand.
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filename, ext = os.path.splitext(resource)
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resource = filename + "_pd_" + ext
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api_content = []
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for op_name in new_custom_ops:
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api_content.append(_custom_api_content(op_name))
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with open(pyfile, 'w') as f:
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f.write(
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_stub_template.format(
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resource=resource, custom_api='\n\n'.join(api_content)))
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OpInfo = collections.namedtuple('OpInfo', ['so_name', 'so_path'])
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class CustomOpInfo:
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"""
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A global Singleton map to record all compiled custom ops information.
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"""
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@classmethod
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def instance(cls):
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if not hasattr(cls, '_instance'):
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cls._instance = cls()
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return cls._instance
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def __init__(self):
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assert not hasattr(
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self.__class__,
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'_instance'), 'Please use `instance()` to get CustomOpInfo object!'
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# NOTE(Aurelius84): Use OrderedDict to save more order information
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self.op_info_map = collections.OrderedDict()
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def add(self, op_name, so_name, so_path=None):
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self.op_info_map[op_name] = OpInfo(so_name, so_path)
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def last(self):
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"""
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Return the lastest insert custom op info.
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"""
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assert len(self.op_info_map) > 0
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return next(reversed(self.op_info_map.items()))
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def prepare_unix_cflags(cflags):
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"""
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Prepare all necessary compiled flags for nvcc compiling CUDA files.
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"""
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cflags = COMMON_NVCC_FLAGS + [
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'-ccbin', 'cc', '-Xcompiler', '-fPIC', '-w', '--expt-relaxed-constexpr',
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'-DNVCC'
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] + cflags + get_cuda_arch_flags(cflags)
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return cflags
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def prepare_win_cflags(cflags):
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"""
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Prepare all necessary compiled flags for nvcc compiling CUDA files.
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"""
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cflags = COMMON_NVCC_FLAGS + [
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'-DGOOGLE_GLOG_DLL_DECL', '-DBOOST_HAS_STATIC_ASSERT', '-w'
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] + cflags + get_cuda_arch_flags(cflags)
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return cflags
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def add_std_without_repeat(cflags, compiler_type, use_std14=False):
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"""
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Append -std=c++11/14 in cflags if without specific it before.
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"""
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cpp_flag_prefix = '/std:' if compiler_type == 'msvc' else '-std='
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if not any(cpp_flag_prefix in flag for flag in cflags):
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suffix = 'c++14' if use_std14 else 'c++11'
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cpp_flag = cpp_flag_prefix + suffix
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cflags.append(cpp_flag)
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def get_cuda_arch_flags(cflags):
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"""
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For an arch, say "6.1", the added compile flag will be
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``-gencode=arch=compute_61,code=sm_61``.
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For an added "+PTX", an additional
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``-gencode=arch=compute_xx,code=compute_xx`` is added.
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"""
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# TODO(Aurelius84):
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return []
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def normalize_extension_kwargs(kwargs, use_cuda=False):
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"""
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Normalize include_dirs, library_dir and other attributes in kwargs.
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"""
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assert isinstance(kwargs, dict)
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# append necessary include dir path of paddle
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include_dirs = kwargs.get('include_dirs', [])
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include_dirs.extend(find_paddle_includes(use_cuda))
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kwargs['include_dirs'] = include_dirs
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# append necessary lib path of paddle
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library_dirs = kwargs.get('library_dirs', [])
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library_dirs.extend(find_paddle_libraries(use_cuda))
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kwargs['library_dirs'] = library_dirs
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if IS_WINDOWS:
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# TODO(zhouwei): may append compile flags in future
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pass
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# append link flags
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extra_link_args = kwargs.get('extra_link_args', [])
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extra_link_args.extend(MSVC_LINK_FLAGS)
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kwargs['extra_link_args'] = extra_link_args
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else:
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# append compile flags
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extra_compile_args = kwargs.get('extra_compile_args', [])
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extra_compile_args.extend(['-g', '-w']) # diable warnings
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kwargs['extra_compile_args'] = extra_compile_args
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# append link flags
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extra_link_args = kwargs.get('extra_link_args', [])
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extra_link_args.append('-lpaddle_framework')
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if use_cuda:
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extra_link_args.append('-lcudart')
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kwargs['extra_link_args'] = extra_link_args
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# add runtime library dirs
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runtime_library_dirs = kwargs.get('runtime_library_dirs', [])
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runtime_library_dirs.extend(find_paddle_libraries(use_cuda))
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kwargs['runtime_library_dirs'] = runtime_library_dirs
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kwargs['language'] = 'c++'
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return kwargs
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def find_cuda_home():
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"""
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Use heuristic method to find cuda path
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"""
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# step 1. find in $CUDA_HOME or $CUDA_PATH
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cuda_home = os.environ.get('CUDA_HOME') or os.environ.get('CUDA_PATH')
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# step 2. find path by `which nvcc`
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if cuda_home is None:
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which_cmd = 'where' if IS_WINDOWS else 'which'
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try:
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with open(os.devnull, 'w') as devnull:
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nvcc_path = subprocess.check_output(
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[which_cmd, 'nvcc'], stderr=devnull)
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if six.PY3:
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nvcc_path = nvcc_path.decode()
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nvcc_path = nvcc_path.rstrip('\r\n')
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# for example: /usr/local/cuda/bin/nvcc
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cuda_home = os.path.dirname(os.path.dirname(nvcc_path))
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except:
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if IS_WINDOWS:
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# search from default NVIDIA GPU path
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candidate_paths = glob.glob(
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'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*.*'
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)
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if len(candidate_paths) > 0:
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cuda_home = candidate_paths[0]
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else:
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cuda_home = "/usr/local/cuda"
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# step 3. check whether path is valid
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if cuda_home and not os.path.exists(
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cuda_home) and core.is_compiled_with_cuda():
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cuda_home = None
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warnings.warn(
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"Not found CUDA runtime, please use `export CUDA_HOME= XXX` to specific it."
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)
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return cuda_home
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def find_cuda_includes():
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"""
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Use heuristic method to find cuda include path
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"""
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cuda_home = find_cuda_home()
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if cuda_home is None:
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raise ValueError(
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"Not found CUDA runtime, please use `export CUDA_HOME=XXX` to specific it."
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)
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return [os.path.join(cuda_home, 'include')]
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def find_paddle_includes(use_cuda=False):
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"""
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Return Paddle necessary include dir path.
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"""
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# pythonXX/site-packages/paddle/include
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paddle_include_dir = get_include()
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third_party_dir = os.path.join(paddle_include_dir, 'third_party')
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include_dirs = [paddle_include_dir, third_party_dir]
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#TODO(zhouwei): because eigen need cuda_runtime.h
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#So, extend cuda_include_dir always
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cuda_include_dir = find_cuda_includes()
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include_dirs.extend(cuda_include_dir)
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return include_dirs
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def find_cuda_libraries():
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"""
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Use heuristic method to find cuda static lib path
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"""
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cuda_home = find_cuda_home()
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if cuda_home is None:
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raise ValueError(
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"Not found CUDA runtime, please use `export CUDA_HOME=XXX` to specific it."
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)
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if IS_WINDOWS:
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cuda_lib_dir = [os.path.join(cuda_home, 'lib', 'x64')]
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else:
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cuda_lib_dir = [os.path.join(cuda_home, 'lib64')]
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return cuda_lib_dir
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def find_paddle_libraries(use_cuda=False):
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"""
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Return Paddle necessary library dir path.
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"""
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# pythonXX/site-packages/paddle/libs
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paddle_lib_dirs = [get_lib()]
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#TODO(zhouwei): because eigen need cuda_runtime.h
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#So, extend cuda_lib_dir always
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cuda_lib_dir = find_cuda_libraries()
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paddle_lib_dirs.extend(cuda_lib_dir)
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return paddle_lib_dirs
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def add_compile_flag(extension, flag):
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extra_compile_args = copy.deepcopy(extension.extra_compile_args)
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if isinstance(extra_compile_args, dict):
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for args in extra_compile_args.values():
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args.append(flag)
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else:
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extra_compile_args.append(flag)
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extension.extra_compile_args = extra_compile_args
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def is_cuda_file(path):
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cuda_suffix = set(['.cu'])
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items = os.path.splitext(path)
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assert len(items) > 1
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return items[-1] in cuda_suffix
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def get_build_directory(verbose=False):
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"""
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Return paddle extension root directory, default specific by `PADDLE_EXTENSION_DIR`
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"""
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root_extensions_directory = os.environ.get('PADDLE_EXTENSION_DIR')
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if root_extensions_directory is None:
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dir_name = "paddle_extensions"
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root_extensions_directory = os.path.join(
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os.path.expanduser('~/.cache'), dir_name)
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if IS_WINDOWS:
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root_extensions_directory = os.path.normpath(
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root_extensions_directory)
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elif OS_NAME.startswith('darwin'):
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# TODO(Aurelius84): consider macOs
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raise NotImplementedError("Not support Mac now.")
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log_v("$PADDLE_EXTENSION_DIR is not set, using path: {} by default.".
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format(root_extensions_directory), verbose)
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if not os.path.exists(root_extensions_directory):
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os.makedirs(root_extensions_directory)
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return root_extensions_directory
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def parse_op_info(op_name):
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"""
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Parse input names and outpus detail information from registered custom op
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from OpInfoMap.
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"""
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from paddle.fluid.framework import OpProtoHolder
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if op_name not in OpProtoHolder.instance().op_proto_map:
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raise ValueError(
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"Please load {} shared library file firstly by `paddle.utils.cpp_extension.load_op_meta_info_and_register_op(...)`".
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format(op_name))
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op_proto = OpProtoHolder.instance().get_op_proto(op_name)
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in_names = [x.name for x in op_proto.inputs]
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out_names = [x.name for x in op_proto.outputs]
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return in_names, out_names
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def _import_module_from_library(module_name, build_directory, verbose=False):
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"""
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Load shared library and import it as callable python module.
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"""
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if IS_WINDOWS:
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dynamic_suffix = '.pyd'
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else:
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dynamic_suffix = '.so'
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ext_path = os.path.join(build_directory, module_name + dynamic_suffix)
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if not os.path.exists(ext_path):
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raise FileNotFoundError("Extension path: {} does not exist.".format(
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ext_path))
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# load custom op_info and kernels from .so shared library
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log_v('loading shared library from: {}'.format(ext_path), verbose)
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op_names = load_op_meta_info_and_register_op(ext_path)
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# generate Python api in ext_path
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return _generate_python_module(module_name, op_names, build_directory,
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verbose)
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def _generate_python_module(module_name,
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op_names,
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build_directory,
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verbose=False):
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"""
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Automatically generate python file to allow import or load into as module
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"""
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api_file = os.path.join(build_directory, module_name + '.py')
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log_v("generate api file: {}".format(api_file), verbose)
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# write into .py file
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api_content = [_custom_api_content(op_name) for op_name in op_names]
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with open(api_file, 'w') as f:
|
|
f.write('\n\n'.join(api_content))
|
|
|
|
# load module
|
|
custom_module = _load_module_from_file(api_file, verbose)
|
|
return custom_module
|
|
|
|
|
|
def _custom_api_content(op_name):
|
|
params_str, ins_str, outs_str = _get_api_inputs_str(op_name)
|
|
|
|
API_TEMPLATE = textwrap.dedent("""
|
|
from paddle.fluid.layer_helper import LayerHelper
|
|
|
|
def {op_name}({inputs}):
|
|
helper = LayerHelper("{op_name}", **locals())
|
|
|
|
# prepare inputs and output
|
|
ins = {ins}
|
|
outs = {{}}
|
|
out_names = {out_names}
|
|
for out_name in out_names:
|
|
# Set 'float32' temporarily, and the actual dtype of output variable will be inferred
|
|
# in runtime.
|
|
outs[out_name] = helper.create_variable(dtype='float32')
|
|
|
|
helper.append_op(type="{op_name}", inputs=ins, outputs=outs)
|
|
|
|
res = [outs[out_name] for out_name in out_names]
|
|
|
|
return res[0] if len(res)==1 else res
|
|
""").lstrip()
|
|
|
|
# generate python api file
|
|
api_content = API_TEMPLATE.format(
|
|
op_name=op_name, inputs=params_str, ins=ins_str, out_names=outs_str)
|
|
|
|
return api_content
|
|
|
|
|
|
def _load_module_from_file(api_file_path, verbose=False):
|
|
"""
|
|
Load module from python file.
|
|
"""
|
|
if not os.path.exists(api_file_path):
|
|
raise FileNotFoundError("File : {} does not exist.".format(
|
|
api_file_path))
|
|
|
|
# Unique readable module name to place custom api.
|
|
log_v('import module from file: {}'.format(api_file_path), verbose)
|
|
ext_name = "_paddle_cpp_extension_"
|
|
if six.PY2:
|
|
import imp
|
|
module = imp.load_source(ext_name, api_file_path)
|
|
else:
|
|
from importlib import machinery
|
|
loader = machinery.SourceFileLoader(ext_name, api_file_path)
|
|
module = loader.load_module()
|
|
|
|
return module
|
|
|
|
|
|
def _get_api_inputs_str(op_name):
|
|
"""
|
|
Returns string of api parameters and inputs dict.
|
|
"""
|
|
in_names, out_names = parse_op_info(op_name)
|
|
# e.g: x, y, z
|
|
params_str = ','.join([p.lower() for p in in_names])
|
|
# e.g: {'X': x, 'Y': y, 'Z': z}
|
|
ins_str = "{%s}" % ','.join(
|
|
["'{}' : {}".format(in_name, in_name.lower()) for in_name in in_names])
|
|
# e.g: ['Out', 'Index']
|
|
outs_str = "[%s]" % ','.join(["'{}'".format(name) for name in out_names])
|
|
return params_str, ins_str, outs_str
|
|
|
|
|
|
def _write_setup_file(name,
|
|
sources,
|
|
file_path,
|
|
include_dirs,
|
|
compile_flags,
|
|
link_args,
|
|
verbose=False):
|
|
"""
|
|
Automatically generate setup.py and write it into build directory.
|
|
"""
|
|
template = textwrap.dedent("""
|
|
import os
|
|
from paddle.utils.cpp_extension import CppExtension, CUDAExtension, BuildExtension, setup
|
|
from paddle.utils.cpp_extension import get_build_directory
|
|
setup(
|
|
name='{name}',
|
|
ext_modules=[
|
|
{prefix}Extension(
|
|
sources={sources},
|
|
include_dirs={include_dirs},
|
|
extra_compile_args={extra_compile_args},
|
|
extra_link_args={extra_link_args})],
|
|
cmdclass={{"build_ext" : BuildExtension.with_options(
|
|
output_dir=get_build_directory(),
|
|
no_python_abi_suffix=True,
|
|
use_new_method={use_new_method})
|
|
}})""").lstrip()
|
|
|
|
with_cuda = False
|
|
if any([is_cuda_file(source) for source in sources]):
|
|
with_cuda = True
|
|
log_v("with_cuda: {}".format(with_cuda), verbose)
|
|
|
|
content = template.format(
|
|
name=name,
|
|
prefix='CUDA' if with_cuda else 'Cpp',
|
|
sources=list2str(sources),
|
|
include_dirs=list2str(include_dirs),
|
|
extra_compile_args=list2str(compile_flags),
|
|
extra_link_args=list2str(link_args),
|
|
use_new_method=use_new_custom_op_load_method())
|
|
|
|
log_v('write setup.py into {}'.format(file_path), verbose)
|
|
with open(file_path, 'w') as f:
|
|
f.write(content)
|
|
|
|
|
|
def list2str(args):
|
|
"""
|
|
Convert list[str] into string. For example: ['x', 'y'] -> "['x', 'y']"
|
|
"""
|
|
if args is None: return '[]'
|
|
assert isinstance(args, (list, tuple))
|
|
args = ["{}".format(arg) for arg in args]
|
|
return repr(args)
|
|
|
|
|
|
def _jit_compile(file_path, interpreter=None, verbose=False):
|
|
"""
|
|
Build shared library in subprocess
|
|
"""
|
|
ext_dir = os.path.dirname(file_path)
|
|
setup_file = os.path.basename(file_path)
|
|
|
|
if interpreter is None:
|
|
interpreter = 'python'
|
|
try:
|
|
which = 'where' if IS_WINDOWS else 'which'
|
|
py_path = subprocess.check_output([which, interpreter])
|
|
py_version = subprocess.check_output([interpreter, '-V'])
|
|
if six.PY3:
|
|
py_path = py_path.decode()
|
|
py_version = py_version.decode()
|
|
log_v("Using Python interpreter: {}, version: {}".format(
|
|
py_path.strip(), py_version.strip()), verbose)
|
|
except Exception:
|
|
_, error, _ = sys.exc_info()
|
|
raise RuntimeError(
|
|
'Failed to check Python interpreter with `{}`, errors: {}'.format(
|
|
interpreter, error))
|
|
|
|
if IS_WINDOWS:
|
|
compile_cmd = 'cd /d {} && {} {} build'.format(ext_dir, interpreter,
|
|
setup_file)
|
|
else:
|
|
compile_cmd = 'cd {} && {} {} build'.format(ext_dir, interpreter,
|
|
setup_file)
|
|
|
|
print("Compiling user custom op, it will cost a few seconds.....")
|
|
run_cmd(compile_cmd, verbose)
|
|
|
|
|
|
def parse_op_name_from(sources):
|
|
"""
|
|
Parse registerring custom op name from sources.
|
|
"""
|
|
|
|
def regex(content):
|
|
if USING_NEW_CUSTOM_OP_LOAD_METHOD:
|
|
pattern = re.compile(r'PD_BUILD_OP\(([^,\)]+)\)')
|
|
else:
|
|
pattern = re.compile(r'REGISTER_OPERATOR\(([^,]+),')
|
|
|
|
content = re.sub(r'\s|\t|\n', '', content)
|
|
op_name = pattern.findall(content)
|
|
op_name = set([re.sub('_grad', '', name) for name in op_name])
|
|
|
|
return op_name
|
|
|
|
op_names = set()
|
|
for source in sources:
|
|
with open(source, 'r') as f:
|
|
content = f.read()
|
|
op_names |= regex(content)
|
|
|
|
return list(op_names)
|
|
|
|
|
|
def run_cmd(command, verbose=False):
|
|
"""
|
|
Execute command with subprocess.
|
|
"""
|
|
# logging
|
|
log_v("execute command: {}".format(command), verbose)
|
|
try:
|
|
from subprocess import DEVNULL # py3
|
|
except ImportError:
|
|
DEVNULL = open(os.devnull, 'wb')
|
|
|
|
# execute command
|
|
try:
|
|
if verbose:
|
|
return subprocess.check_call(
|
|
command, shell=True, stderr=subprocess.STDOUT)
|
|
else:
|
|
return subprocess.check_call(command, shell=True, stdout=DEVNULL)
|
|
except Exception:
|
|
_, error, _ = sys.exc_info()
|
|
raise RuntimeError("Failed to run command: {}, errors: {}".format(
|
|
compile, error))
|
|
|
|
|
|
def check_abi_compatibility(compiler, verbose=False):
|
|
"""
|
|
Check whether GCC version on user local machine is compatible with Paddle in
|
|
site-packages.
|
|
"""
|
|
# TODO(Aurelius84): After we support windows, remove IS_WINDOWS in following code.
|
|
if os.environ.get('PADDLE_SKIP_CHECK_ABI') in ['True', 'true', '1'
|
|
] or IS_WINDOWS:
|
|
return True
|
|
|
|
cmd_out = subprocess.check_output(
|
|
['which', compiler], stderr=subprocess.STDOUT)
|
|
compiler_path = os.path.realpath(cmd_out.decode()
|
|
if six.PY3 else cmd_out).strip()
|
|
# step 1. if not found any suitable compiler, raise error
|
|
if not any(name in compiler_path
|
|
for name in _expected_compiler_current_platform()):
|
|
warnings.warn(
|
|
WRONG_COMPILER_WARNING.format(
|
|
user_compiler=compiler,
|
|
paddle_compiler=_expected_compiler_current_platform()[0],
|
|
platform=OS_NAME))
|
|
return False
|
|
|
|
# clang++ have no ABI compatibility problem
|
|
if OS_NAME.startswith('darwin'):
|
|
return True
|
|
try:
|
|
if OS_NAME.startswith('linux'):
|
|
version_info = subprocess.check_output(
|
|
[compiler, '-dumpfullversion', '-dumpversion'])
|
|
if six.PY3:
|
|
version_info = version_info.decode()
|
|
version = version_info.strip().split('.')
|
|
assert len(version) == 3
|
|
# check version compatibility
|
|
if tuple(map(int, version)) >= GCC_MINI_VERSION:
|
|
return True
|
|
else:
|
|
warnings.warn(
|
|
ABI_INCOMPATIBILITY_WARNING.format(
|
|
user_compiler=compiler, version=version_info.strip()))
|
|
elif IS_WINDOWS:
|
|
# TODO(zhouwei): support check abi compatibility on windows
|
|
warnings.warn("We don't support Windows now.")
|
|
except Exception:
|
|
_, error, _ = sys.exc_info()
|
|
warnings.warn('Failed to check compiler version for {}: {}'.format(
|
|
compiler, error))
|
|
|
|
return False
|
|
|
|
|
|
def _expected_compiler_current_platform():
|
|
"""
|
|
Returns supported compiler string on current platform
|
|
"""
|
|
expect_compilers = ['clang', 'clang++'] if OS_NAME.startswith(
|
|
'darwin') else ['gcc', 'g++', 'gnu-c++', 'gnu-cc']
|
|
return expect_compilers
|
|
|
|
|
|
def log_v(info, verbose=True):
|
|
"""
|
|
Print log information on stdout.
|
|
"""
|
|
if verbose:
|
|
logging.info(info)
|