Projekt_AI-Automatyczny_saper/venv/Lib/site-packages/torch/cuda/_utils.py

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2021-06-01 17:38:31 +02:00
import torch
from typing import Union
from torch.types import Device
# 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: Union[Device, str, int, None], 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 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})