ColossalAI/colossalai/booster/accelerator.py

55 lines
1.4 KiB
Python

import torch
import torch.nn as nn
__all__ = ['Accelerator']
_supported_devices = [
'cpu',
'cuda',
# To be supported
# 'xpu',
# 'npu',
# 'tpu',
]
class Accelerator:
"""
Accelerator is an abstraction for the hardware device that is used to run the model.
Args:
device (str): The device to be used. Currently only support 'cpu' and 'gpu'.
"""
def __init__(self, device: str):
self.device = device
assert self.device in _supported_devices, f"Device {self.device} is not supported yet, supported devices include {_supported_devices}"
def bind(self):
"""
Set the default device for the current process.
"""
if self.device == 'cpu':
pass
elif self.device == 'cuda':
# TODO(FrankLeeeee): use global environment to check if it is a dist job
# if is_distributed:
# local_rank = EnvTable().get_local_rank()
# torch.cuda.set_device(torch.device(f'cuda:{local_rank}'))
torch.cuda.set_device(torch.device('cuda'))
pass
else:
raise ValueError(f"Device {self.device} is not supported yet")
def configure_model(self, model: nn.Module) -> nn.Module:
"""
Move the model to the device.
Args:
model (nn.Module): The model to be moved.
"""
model = model.to(torch.device(self.device))
return model