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