convert.py 文件源码

def convert(def_path, caffemodel_path, data_output_path, code_output_path, phase):
    try:
        transformer = TensorFlowTransformer(def_path, caffemodel_path, phase=phase)
        print_stderr('Converting data...')
        if caffemodel_path is not None:
            data = transformer.transform_data()
            print_stderr('Saving data...')
            with open(data_output_path, 'wb') as data_out:
                np.save(data_out, data)
        if code_output_path:
            print_stderr('Saving source...')
            with open(code_output_path, 'wb') as src_out:
                src_out.write(transformer.transform_source())
        print_stderr('Done.')
    except KaffeError as err:
        fatal_error('Error encountered: {}'.format(err))