| 123456789101112131415161718192021222324252627282930313233343536373839404142 |
- import torch
- from typing import Any
- # The _get_device_index has been moved to torch.utils._get_device_index
- from torch._utils import _get_device_index as _torch_get_device_index
- def _get_device_index(device: Any, optional: bool = False,
- allow_cpu: bool = False) -> int:
- r"""Gets the device index from :attr:`device`, which can be a torch.device
- object, a Python integer, or ``None``.
- If :attr:`device` is a torch.device object, returns the device index if it
- is a CUDA device. Note that for a CUDA device without a specified index,
- i.e., ``torch.device('cuda')``, this will return the current default CUDA
- device if :attr:`optional` is ``True``. If :attr:`allow_cpu` is ``True``,
- CPU devices will be accepted and ``-1`` will be returned in this case.
- If :attr:`device` is a Python integer, it is returned as is.
- If :attr:`device` is ``None``, this will return the current default CUDA
- device if :attr:`optional` is ``True``.
- """
- if isinstance(device, str):
- device = torch.device(device)
- if isinstance(device, torch.device):
- if allow_cpu:
- if device.type not in ['cuda', 'cpu']:
- raise ValueError('Expected a cuda or cpu device, but got: {}'.format(device))
- elif device.type != 'cuda':
- raise ValueError('Expected a cuda device, but got: {}'.format(device))
- if not torch.jit.is_scripting():
- if isinstance(device, torch.cuda.device):
- return device.idx
- return _torch_get_device_index(device, optional, allow_cpu)
- def _dummy_type(name: str) -> type:
- def init_err(self):
- class_name = self.__class__.__name__
- raise RuntimeError(
- "Tried to instantiate dummy base class {}".format(class_name))
- return type(name, (object,), {"__init__": init_err})
|
