import gc
import os
import random

import numpy as np
import torch


def clear_gpu_memory():
    torch.cuda.empty_cache()
    if torch.cuda.is_available():
        torch.cuda.ipc_collect()
    gc.collect()


def set_seed(seed: int = 42) -> None:
    np.random.seed(seed)
    random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)

    # When running on the CuDNN backend, two further options must be set
    torch.backends.cudnn.deterministic = True
    torch.backends.cudnn.benchmark = False

    # Set a fixed value for the hash seed
    os.environ["PYTHONHASHSEED"] = str(seed)
    print(f"Random seed set as {seed}")