mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
ee96399bb4
This reverts commit dcb486232d.
Reverted https://github.com/pytorch/pytorch/pull/109843 on behalf of https://github.com/atalman due to Diff broke internal builds and tests ([comment](https://github.com/pytorch/pytorch/pull/109843#issuecomment-1841105398))
88 lines
3.7 KiB
Python
88 lines
3.7 KiB
Python
import os
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import sys
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import warnings
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try:
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from caffe2.proto import caffe2_pb2
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except ImportError:
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warnings.warn('Caffe2 support is not enabled in this PyTorch build. '
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'Please enable Caffe2 by building PyTorch from source with `BUILD_CAFFE2=1` flag.')
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raise
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# TODO: refactor & remove the following alias
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caffe2_pb2.CPU = caffe2_pb2.PROTO_CPU
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caffe2_pb2.CUDA = caffe2_pb2.PROTO_CUDA
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caffe2_pb2.MKLDNN = caffe2_pb2.PROTO_MKLDNN
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caffe2_pb2.OPENGL = caffe2_pb2.PROTO_OPENGL
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caffe2_pb2.OPENCL = caffe2_pb2.PROTO_OPENCL
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caffe2_pb2.IDEEP = caffe2_pb2.PROTO_IDEEP
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caffe2_pb2.HIP = caffe2_pb2.PROTO_HIP
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caffe2_pb2.COMPILE_TIME_MAX_DEVICE_TYPES = caffe2_pb2.PROTO_COMPILE_TIME_MAX_DEVICE_TYPES
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if sys.platform == "win32":
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is_conda = os.path.exists(os.path.join(sys.prefix, 'conda-meta'))
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py_dll_path = os.path.join(os.path.dirname(sys.executable), 'Library', 'bin')
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th_root = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'torch')
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th_dll_path = os.path.join(th_root, 'lib')
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if not os.path.exists(os.path.join(th_dll_path, 'nvToolsExt64_1.dll')) and \
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not os.path.exists(os.path.join(py_dll_path, 'nvToolsExt64_1.dll')):
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nvtoolsext_dll_path = os.path.join(
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os.getenv('NVTOOLSEXT_PATH', 'C:\\Program Files\\NVIDIA Corporation\\NvToolsExt'), 'bin', 'x64')
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else:
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nvtoolsext_dll_path = ''
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import importlib.util
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import glob
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spec = importlib.util.spec_from_file_location('torch_version', os.path.join(th_root, 'version.py'))
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torch_version = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(torch_version)
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if torch_version.cuda and len(glob.glob(os.path.join(th_dll_path, 'cudart64*.dll'))) == 0 and \
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len(glob.glob(os.path.join(py_dll_path, 'cudart64*.dll'))) == 0:
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cuda_version = torch_version.cuda
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cuda_version_1 = cuda_version.replace('.', '_')
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cuda_path_var = 'CUDA_PATH_V' + cuda_version_1
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default_path = 'C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v' + cuda_version
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cuda_path = os.path.join(os.getenv(cuda_path_var, default_path), 'bin')
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else:
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cuda_path = ''
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import ctypes
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kernel32 = ctypes.WinDLL('kernel32.dll', use_last_error=True)
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dll_paths = list(filter(os.path.exists, [th_dll_path, py_dll_path, nvtoolsext_dll_path, cuda_path]))
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with_load_library_flags = hasattr(kernel32, 'AddDllDirectory')
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prev_error_mode = kernel32.SetErrorMode(0x0001)
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kernel32.LoadLibraryW.restype = ctypes.c_void_p
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if with_load_library_flags:
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kernel32.LoadLibraryExW.restype = ctypes.c_void_p
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for dll_path in dll_paths:
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os.add_dll_directory(dll_path)
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dlls = glob.glob(os.path.join(th_dll_path, '*.dll'))
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path_patched = False
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for dll in dlls:
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is_loaded = False
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if with_load_library_flags:
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res = kernel32.LoadLibraryExW(dll, None, 0x00001100)
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last_error = ctypes.get_last_error()
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if res is None and last_error != 126:
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err = ctypes.WinError(last_error)
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err.strerror += ' Error loading "{}" or one of its dependencies.'.format(dll)
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raise err
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elif res is not None:
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is_loaded = True
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if not is_loaded:
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if not path_patched:
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os.environ['PATH'] = ';'.join(dll_paths + [os.environ['PATH']])
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path_patched = True
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res = kernel32.LoadLibraryW(dll)
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if res is None:
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err = ctypes.WinError(ctypes.get_last_error())
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err.strerror += ' Error loading "{}" or one of its dependencies.'.format(dll)
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raise err
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kernel32.SetErrorMode(prev_error_mode)
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