text-generation-webui-mirror/modules/torch_utils.py
2025-04-20 13:33:47 -03:00

37 lines
1.1 KiB
Python

import gc
import torch
from accelerate.utils import is_npu_available, is_xpu_available
from transformers import is_torch_npu_available, is_torch_xpu_available
from modules import shared
def get_device():
if torch.cuda.is_available():
return torch.device('cuda')
elif shared.args.deepspeed:
import deepspeed
return deepspeed.get_accelerator().current_device_name()
elif torch.backends.mps.is_available():
return torch.device('mps')
elif is_torch_xpu_available():
return torch.device('xpu:0')
elif is_torch_npu_available():
return torch.device('npu:0')
else:
return None
def clear_torch_cache():
gc.collect()
if not shared.args.cpu:
if torch.cuda.is_available():
torch.cuda.empty_cache()
elif is_xpu_available():
torch.xpu.empty_cache()
elif is_npu_available():
torch.npu.empty_cache()
elif torch.backends.mps.is_available():
if hasattr(torch.backends.mps, 'empty_cache'):
torch.backends.mps.empty_cache()