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4.16 kB
| import os | |
| import sys | |
| import warnings | |
| try: | |
| from caffe2.proto import caffe2_pb2 | |
| except ImportError: | |
| warnings.warn('Caffe2 support is not enabled in this PyTorch build. ' | |
| 'Please enable Caffe2 by building PyTorch from source with `BUILD_CAFFE2=1` flag.') | |
| raise | |
| # TODO: refactor & remove the following alias | |
| caffe2_pb2.CPU = caffe2_pb2.PROTO_CPU | |
| caffe2_pb2.CUDA = caffe2_pb2.PROTO_CUDA | |
| caffe2_pb2.MKLDNN = caffe2_pb2.PROTO_MKLDNN | |
| caffe2_pb2.OPENGL = caffe2_pb2.PROTO_OPENGL | |
| caffe2_pb2.OPENCL = caffe2_pb2.PROTO_OPENCL | |
| caffe2_pb2.IDEEP = caffe2_pb2.PROTO_IDEEP | |
| caffe2_pb2.HIP = caffe2_pb2.PROTO_HIP | |
| caffe2_pb2.COMPILE_TIME_MAX_DEVICE_TYPES = caffe2_pb2.PROTO_COMPILE_TIME_MAX_DEVICE_TYPES | |
| if sys.platform == "win32": | |
| is_conda = os.path.exists(os.path.join(sys.prefix, 'conda-meta')) | |
| py_dll_path = os.path.join(os.path.dirname(sys.executable), 'Library', 'bin') | |
| th_root = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'torch') | |
| th_dll_path = os.path.join(th_root, 'lib') | |
| if not os.path.exists(os.path.join(th_dll_path, 'nvToolsExt64_1.dll')) and \ | |
| not os.path.exists(os.path.join(py_dll_path, 'nvToolsExt64_1.dll')): | |
| nvtoolsext_dll_path = os.path.join( | |
| os.getenv('NVTOOLSEXT_PATH', 'C:\\Program Files\\NVIDIA Corporation\\NvToolsExt'), 'bin', 'x64') | |
| else: | |
| nvtoolsext_dll_path = '' | |
| import importlib.util | |
| import glob | |
| spec = importlib.util.spec_from_file_location('torch_version', os.path.join(th_root, 'version.py')) | |
| torch_version = importlib.util.module_from_spec(spec) | |
| spec.loader.exec_module(torch_version) | |
| if torch_version.cuda and len(glob.glob(os.path.join(th_dll_path, 'cudart64*.dll'))) == 0 and \ | |
| len(glob.glob(os.path.join(py_dll_path, 'cudart64*.dll'))) == 0: | |
| cuda_version = torch_version.cuda | |
| cuda_version_1 = cuda_version.replace('.', '_') | |
| cuda_path_var = 'CUDA_PATH_V' + cuda_version_1 | |
| default_path = 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v' + cuda_version | |
| cuda_path = os.path.join(os.getenv(cuda_path_var, default_path), 'bin') | |
| else: | |
| cuda_path = '' | |
| import ctypes | |
| kernel32 = ctypes.WinDLL('kernel32.dll', use_last_error=True) | |
| dll_paths = list(filter(os.path.exists, [th_dll_path, py_dll_path, nvtoolsext_dll_path, cuda_path])) | |
| with_load_library_flags = hasattr(kernel32, 'AddDllDirectory') | |
| prev_error_mode = kernel32.SetErrorMode(0x0001) | |
| kernel32.LoadLibraryW.restype = ctypes.c_void_p | |
| if with_load_library_flags: | |
| kernel32.AddDllDirectory.restype = ctypes.c_void_p | |
| kernel32.LoadLibraryExW.restype = ctypes.c_void_p | |
| for dll_path in dll_paths: | |
| if sys.version_info >= (3, 8): | |
| os.add_dll_directory(dll_path) | |
| elif with_load_library_flags: | |
| res = kernel32.AddDllDirectory(dll_path) | |
| if res is None: | |
| err = ctypes.WinError(ctypes.get_last_error()) | |
| err.strerror += ' Error adding "{}" to the DLL directories.'.format(dll_path) | |
| raise err | |
| dlls = glob.glob(os.path.join(th_dll_path, '*.dll')) | |
| path_patched = False | |
| for dll in dlls: | |
| is_loaded = False | |
| if with_load_library_flags: | |
| res = kernel32.LoadLibraryExW(dll, None, 0x00001100) | |
| last_error = ctypes.get_last_error() | |
| if res is None and last_error != 126: | |
| err = ctypes.WinError(last_error) | |
| err.strerror += ' Error loading "{}" or one of its dependencies.'.format(dll) | |
| raise err | |
| elif res is not None: | |
| is_loaded = True | |
| if not is_loaded: | |
| if not path_patched: | |
| os.environ['PATH'] = ';'.join(dll_paths + [os.environ['PATH']]) | |
| path_patched = True | |
| res = kernel32.LoadLibraryW(dll) | |
| if res is None: | |
| err = ctypes.WinError(ctypes.get_last_error()) | |
| err.strerror += ' Error loading "{}" or one of its dependencies.'.format(dll) | |
| raise err | |
| kernel32.SetErrorMode(prev_error_mode) | |