Repository URL to install this package:
Version:
2.1.2+cpu ▾
|
from typing import Any
import torch
# 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, int):
return device
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(f"Expected a cuda or cpu device, but got: {device}")
elif device.type != "cuda":
raise ValueError(f"Expected a cuda device, but got: {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 get_err_fn(is_init: bool):
def err_fn(obj, *args, **kwargs):
if is_init:
class_name = obj.__class__.__name__
else:
class_name = obj.__name__
raise RuntimeError(f"Tried to instantiate dummy base class {class_name}")
return err_fn
return type(
name, (object,), {"__init__": get_err_fn(True), "__new__": get_err_fn(False)}
)