def warm_start_model(checkpoint_path, model, ignore_layers):
    assert os.path.isfile(checkpoint_path)
    print("Warm starting model from checkpoint '{}'".format(checkpoint_path))
    checkpoint_dict = torch.load(checkpoint_path, map_location='cpu')
    model_dict = checkpoint_dict['state_dict']
    model.load_state_dict(model_dict)
    return model