import numpy as np
import torch 
from typing import Dict


def run_assertion(orig_pt_state_dict: Dict[str, torch.Tensor], pt_state_dict_from_tf: Dict[str, torch.Tensor]):
    for k in orig_pt_state_dict:
        try:
            np.testing.assert_allclose(
                orig_pt_state_dict[k].numpy(), 
                pt_state_dict_from_tf[k].numpy()
            )
        except:
            raise ValueError("There are problems in the parameter population process. Cannot proceed :(")