| import logging | |
| import torch | |
| def get_device_type() -> str: | |
| if torch.backends.mps.is_available(): | |
| return "mps" | |
| elif torch.cuda.is_available(): | |
| return "cuda" | |
| else: | |
| logging.warning("No GPU found, using CPU instead") | |
| return "cpu" | |
| device_type = get_device_type() | |
| DEVICE = torch.device(device_type) | |
| if torch.cuda.is_available(): | |
| torch.autocast(device_type="cuda", dtype=torch.bfloat16).__enter__() | |
| if torch.cuda.get_device_properties(0).major >= 8: | |
| torch.backends.cuda.matmul.allow_tf32 = True | |
| torch.backends.cudnn.allow_tf32 = True | |