Yeah, due to a @ptrblck suggestion I think your code should looks like:
def vgg19(pretrained=False, **kwargs):
    """VGG 19-layer model (configuration “E”)
    Args:
    pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    model = VGG(make_layers(cfg[‘E’]), **kwargs)
    if pretrained:
        model.load_state_dict(torch.load("./model_parameters/vgg19-dcbb9e9d.pth"))
        model.eval()
    return model