mirror of
https://github.com/iperov/DeepFaceLive.git
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97 lines
2.7 KiB
Python
97 lines
2.7 KiB
Python
from typing import List, Union
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import torch
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class TorchDeviceInfo:
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"""
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Represents picklable torch device info
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"""
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def __init__(self, index=None, name=None, total_memory=None):
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self._index : int = index
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self._name : str = name
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self._total_memory : int = total_memory
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def __getstate__(self):
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return self.__dict__.copy()
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def __setstate__(self, d):
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self.__init__()
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self.__dict__.update(d)
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def is_cpu(self) -> bool: return self._index == -1
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def get_index(self) -> int:
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return self._index
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def get_name(self) -> str:
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if self.is_cpu():
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return 'CPU'
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return self._name
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def get_total_memory(self) -> int:
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if self.is_cpu():
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return 0
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return self._total_memory
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def __eq__(self, other):
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if self is not None and other is not None and isinstance(self, TorchDeviceInfo) and isinstance(other, TorchDeviceInfo):
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return self._index == other._index
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return False
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def __hash__(self):
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return self._index
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def __str__(self):
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if self.is_cpu():
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return "CPU"
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else:
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return f"[{self._index}] {self._name} [{(self._total_memory / 1024**3) :.3}Gb]"
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def __repr__(self):
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return f'{self.__class__.__name__} object: ' + self.__str__()
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_torch_devices = None
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def get_cpu_device_info() -> TorchDeviceInfo: return TorchDeviceInfo(index=-1)
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def get_device_info_by_index( index : int ) -> Union[TorchDeviceInfo, None]:
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"""
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index if -1, returns CPU Device info
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"""
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if index == -1:
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return get_cpu_device_info()
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for device in get_available_devices_info(include_cpu=False):
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if device.get_index() == index:
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return device
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return None
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def get_device(device_info : TorchDeviceInfo) -> torch.device:
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"""
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get physical torch.device from TorchDeviceInfo
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"""
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if device_info.is_cpu():
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return torch.device('cpu')
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return torch.device(f'cuda:{device_info.get_index()}')
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def get_available_devices_info(include_cpu=True, cpu_only=False) -> List[TorchDeviceInfo]:
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"""
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returns a list of available TorchDeviceInfo
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"""
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devices = []
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if not cpu_only:
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global _torch_devices
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if _torch_devices is None:
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_torch_devices = []
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for i in range (torch.cuda.device_count()):
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device_props = torch.cuda.get_device_properties(i)
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_torch_devices.append ( TorchDeviceInfo(index=i, name=device_props.name, total_memory=device_props.total_memory))
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devices += _torch_devices
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if include_cpu:
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devices.append ( get_cpu_device_info() )
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return devices
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