# Copyright (c) 2019 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. import site import sys import os import warnings import platform has_paddle_dy_lib = False dy_lib_name = 'libpaddle' dy_lib_suffix = 'so' if os.name == 'nt': dy_lib_suffix = 'pyd' current_path = os.path.abspath(os.path.dirname(__file__)) if os.path.exists(current_path + os.sep + dy_lib_name + '.' + dy_lib_suffix): has_paddle_dy_lib = True try: if os.name == 'nt': third_lib_path = current_path + os.sep + '..' + os.sep + 'libs' # Will load shared library from 'path' on windows os.environ[ 'path'] = current_path + ';' + third_lib_path + ';' + os.environ[ 'path'] sys.path.insert(0, third_lib_path) # Note: from python3.8, PATH will not take effect # https://github.com/python/cpython/pull/12302 # Use add_dll_directory to specify dll resolution path if sys.version_info[:2] >= (3, 8): os.add_dll_directory(third_lib_path) except ImportError as e: from .. import compat as cpt if os.name == 'nt': executable_path = os.path.abspath(os.path.dirname(sys.executable)) raise ImportError("""NOTE: You may need to run \"set PATH=%s;%%PATH%%\" if you encounters \"DLL load failed\" errors. If you have python installed in other directory, replace \"%s\" with your own directory. The original error is: \n %s""" % (executable_path, executable_path, str(e))) else: raise ImportError( """NOTE: You may need to run \"export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH\" if you encounters \"libmkldnn.so not found\" errors. If you have python installed in other directory, replace \"/usr/local/lib\" with your own directory. The original error is: \n""" + str(e)) except Exception as e: raise e def avx_supported(): """ Whether current system(Linux, MacOS, Windows) is supported with AVX. """ from .. import compat as cpt sysstr = platform.system().lower() has_avx = False if sysstr == 'linux': try: has_avx = os.popen('cat /proc/cpuinfo | grep -i avx').read() != '' except Exception as e: sys.stderr.write('Can not get the AVX flag from /proc/cpuinfo.\n' 'The original error is: %s\n' % str(e)) return has_avx elif sysstr == 'darwin': try: has_avx = os.popen( 'sysctl machdep.cpu.features | grep -i avx').read() != '' except Exception as e: sys.stderr.write( 'Can not get the AVX flag from machdep.cpu.features.\n' 'The original error is: %s\n' % str(e)) if not has_avx: import subprocess pipe = subprocess.Popen( 'sysctl machdep.cpu.leaf7_features | grep -i avx', shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) _ = pipe.communicate() has_avx = True if pipe.returncode == 0 else False return has_avx elif sysstr == 'windows': import ctypes ONE_PAGE = ctypes.c_size_t(0x1000) def asm_func(code_str, restype=ctypes.c_uint32, argtypes=()): # Call the code_str as a function # Alloc 1 page to ensure the protection pfnVirtualAlloc = ctypes.windll.kernel32.VirtualAlloc pfnVirtualAlloc.restype = ctypes.c_void_p MEM_COMMIT = ctypes.c_ulong(0x1000) PAGE_READWRITE = ctypes.c_ulong(0x4) address = pfnVirtualAlloc(None, ONE_PAGE, MEM_COMMIT, PAGE_READWRITE) if not address: raise Exception("Failed to VirtualAlloc") # Copy the code into the memory segment memmove = ctypes.CFUNCTYPE(ctypes.c_void_p, ctypes.c_void_p, ctypes.c_void_p, ctypes.c_size_t)(ctypes._memmove_addr) if memmove(address, code_str, len(code_str)) < 0: raise Exception("Failed to memmove") # Enable execute permissions PAGE_EXECUTE = ctypes.c_ulong(0x10) pfnVirtualProtect = ctypes.windll.kernel32.VirtualProtect res = pfnVirtualProtect(ctypes.c_void_p(address), ONE_PAGE, PAGE_EXECUTE, ctypes.byref(ctypes.c_ulong(0))) if not res: raise Exception("Failed VirtualProtect") # Flush instruction cache pfnGetCurrentProcess = ctypes.windll.kernel32.GetCurrentProcess pfnGetCurrentProcess.restype = ctypes.c_void_p prochandle = ctypes.c_void_p(pfnGetCurrentProcess()) res = ctypes.windll.kernel32.FlushInstructionCache( prochandle, ctypes.c_void_p(address), ONE_PAGE) if not res: raise Exception("Failed FlushInstructionCache") # Cast the memory to function functype = ctypes.CFUNCTYPE(restype, *argtypes) func = functype(address) return func, address # http://en.wikipedia.org/wiki/CPUID#EAX.3D1:_Processor_Info_and_Feature_Bits # mov eax,0x1; cpuid; mov cx, ax; ret code_str = b"\xB8\x01\x00\x00\x00\x0f\xa2\x89\xC8\xC3" avx_bit = 28 retval = 0 try: # Convert the code_str into a function that returns uint func, address = asm_func(code_str) retval = func() ctypes.windll.kernel32.VirtualFree(ctypes.c_void_p(address), ctypes.c_size_t(0), ONE_PAGE) except Exception as e: sys.stderr.write('Failed getting the AVX flag on Windows.\n' 'The original error is: %s\n' % str(e)) return (retval & (1 << avx_bit)) > 0 else: sys.stderr.write('Do not get AVX flag on %s\n' % sysstr) return False def run_shell_command(cmd): import subprocess out, err = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True).communicate() if err: return None else: return out.decode('utf-8').strip() def get_dso_path(core_so, dso_name): if core_so and dso_name: return run_shell_command("ldd %s|grep %s|awk '{print $3}'" % (core_so, dso_name)) else: return None def load_dso(dso_absolute_path): if dso_absolute_path: try: from ctypes import cdll cdll.LoadLibrary(dso_absolute_path) except: warnings.warn("Load {} failed".format(dso_absolute_path)) def pre_load(dso_name): if has_paddle_dy_lib: core_so = current_path + os.sep + dy_lib_name + '.' + dy_lib_suffix else: core_so = None dso_path = get_dso_path(core_so, dso_name) load_dso(dso_path) def get_libc_ver(): ldd_glibc = run_shell_command("ldd --version | awk '/ldd/{print $NF}'") if ldd_glibc is not None: return ("glibc", ldd_glibc) ldd_musl = run_shell_command("ldd 2>&1 | awk '/Version/{print $NF}'") if ldd_musl is not None: return ("musl", ldd_musl) return (None, None) def less_than_ver(a, b): if a is None or b is None: return False import re import operator def to_list(s): s = re.sub(r'(\.0+)+$', '', s) return [int(x) for x in s.split('.')] return operator.lt(to_list(a), to_list(b)) # NOTE(zhiqiu): An error may occurs when import paddle in linux platform with glibc < 2.22, # the error message of which is "dlopen: cannot load any more object with static TLS". # This happens when: # (1) the number of dynamic shared librarys (DSO) loaded > 14, # (2) after that, load a dynamic shared library (DSO) with static TLS. # For paddle, the problem is that 'libgomp' is a DSO with static TLS, and it is loaded after 14 DSOs. # So, here is a tricky way to solve the problem by pre load 'libgomp' before 'libpaddle.so'. # The final solution is to upgrade glibc to > 2.22 on the target system. if platform.system().lower() == 'linux': libc_type, libc_ver = get_libc_ver() if libc_type == 'glibc' and less_than_ver(libc_ver, '2.23'): try: pre_load('libgomp') except Exception as e: # NOTE(zhiqiu): do not abort if failed, since it may success when import libpaddle.so sys.stderr.write('Error: Can not preload libgomp.so') try: from . import libpaddle if avx_supported() and not libpaddle.is_compiled_with_avx(): sys.stderr.write( "Hint: Your machine support AVX, but the installed paddlepaddle doesn't have avx core. " "Hence, no-avx core with worse preformance will be imported.\nIf you like, you could " "reinstall paddlepaddle by 'python -m pip install --force-reinstall paddlepaddle-gpu[==version]' " "to get better performance.\n") # assign tensor alias libpaddle.LoDTensor = libpaddle.Tensor from .libpaddle import * from .libpaddle import __doc__, __file__, __name__, __package__ from .libpaddle import __unittest_throw_exception__ from .libpaddle import _append_python_callable_object_and_return_id from .libpaddle import _cleanup, _Scope from .libpaddle import _get_use_default_grad_op_desc_maker_ops from .libpaddle import _get_all_register_op_kernels from .libpaddle import _is_program_version_supported from .libpaddle import _set_eager_deletion_mode from .libpaddle import _get_eager_deletion_vars from .libpaddle import _set_fuse_parameter_group_size from .libpaddle import _set_fuse_parameter_memory_size from .libpaddle import _is_dygraph_debug_enabled from .libpaddle import _dygraph_debug_level from .libpaddle import _switch_tracer from .libpaddle import _set_paddle_lib_path from .libpaddle import _create_loaded_parameter from .libpaddle import _cuda_synchronize from .libpaddle import _is_compiled_with_heterps from .libpaddle import _promote_types_if_complex_exists from .libpaddle import _set_cached_executor_build_strategy from .libpaddle import _device_synchronize from .libpaddle import _get_current_stream from .libpaddle import _Profiler, _ProfilerResult, _RecordEvent from .libpaddle import _set_current_stream if sys.platform != 'win32': from .libpaddle import _set_process_pids from .libpaddle import _erase_process_pids from .libpaddle import _set_process_signal_handler from .libpaddle import _throw_error_if_process_failed from .libpaddle import _convert_to_tensor_list from .libpaddle import _array_to_share_memory_tensor from .libpaddle import _cleanup_mmap_fds from .libpaddle import _remove_tensor_list_mmap_fds except Exception as e: if has_paddle_dy_lib: sys.stderr.write( 'Error: Can not import paddle core while this file exists: ' + current_path + os.sep + 'libpaddle.' + dy_lib_suffix + '\n') if not avx_supported() and libpaddle.is_compiled_with_avx(): sys.stderr.write( "Error: Your machine doesn't support AVX, but the installed PaddlePaddle is avx core, " "you should reinstall paddlepaddle with no-avx core.\n") raise e def set_paddle_custom_device_lib_path(lib_path): if os.environ.get('CUSTOM_DEVICE_ROOT', None) is not None: # use setted environment value return if os.path.exists(lib_path): # set CUSTOM_DEVICE_ROOT default path os.environ['CUSTOM_DEVICE_ROOT'] = os.path.normpath(lib_path) else: os.environ['CUSTOM_DEVICE_ROOT'] = '' # set paddle lib path def set_paddle_lib_path(): site_dirs = site.getsitepackages() if hasattr( site, 'getsitepackages') else [x for x in sys.path if 'site-packages' in x] for site_dir in site_dirs: lib_dir = os.path.sep.join([site_dir, 'paddle', 'libs']) if os.path.exists(lib_dir): _set_paddle_lib_path(lib_dir) set_paddle_custom_device_lib_path( os.path.sep.join([lib_dir, '..', '..', 'paddle-plugins'])) return if hasattr(site, 'USER_SITE'): lib_dir = os.path.sep.join([site.USER_SITE, 'paddle', 'libs']) if os.path.exists(lib_dir): _set_paddle_lib_path(lib_dir) set_paddle_custom_device_lib_path( os.path.sep.join([lib_dir, '..', '..', 'paddle-plugins'])) set_paddle_lib_path()