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