import gc
import inspect
from typing import Optional, Tuple, Union

import torch

logger = get_logger(__name__)

def reset_memory(device: Union[str, torch.device]) -> None:
    gc.collect()
    torch.cuda.empty_cache()
    torch.cuda.reset_peak_memory_stats(device)
    torch.cuda.reset_accumulated_memory_stats(device)


def print_memory(device: Union[str, torch.device]) -> None:
    memory_allocated = torch.cuda.memory_allocated(device) / 1024**3
    max_memory_allocated = torch.cuda.max_memory_allocated(device) / 1024**3
    max_memory_reserved = torch.cuda.max_memory_reserved(device) / 1024**3
    print(f"{memory_allocated=:.3f} GB")
    print(f"{max_memory_allocated=:.3f} GB")
    print(f"{max_memory_reserved=:.3f} GB")