learning.py 文件源码

def load_model_old(path_to_model_dir):
    warnings.warn('`load_model` called. This is a deprected function!')
    model = model_from_yaml(open(path_to_model_dir + '/config.yaml').read())
    model.load_weights(path_to_model_dir + '/weights.hdf5')
    compile_args = yaml_to_dict(path_to_model_dir + '/compile_args.yaml')

    optimizer = compile_args.pop('optimizer')
    if isinstance(optimizer, dict):
        name = optimizer.pop('name')
        optimizer = get_optimizer(name, optimizer)
    else:
        optimizer = get_optimizer(optimizer)

    model.compile(optimizer=optimizer, **compile_args)
    return model