只需要在导出模型命令中添加 Global.export_with_pir=null ，即可
 

python tools/export_model.py -c configs/rec/PP-OCRv4/en_PP-OCRv4_mobile_rec.yml -o Global.export_with_pir=null Global.checkpoints="output/rec_ppocr_v4/best" Global.save_inference_dir="./output"

在export_model.py源码export_single_model函数中有一个判断，如果全局配置不存在export_with_pir，就不会导出inference.pdmodel、inference.pdiparams.info，所以设置全局export_with_pir 设为null，就会走另外一个分支

def export_single_model(
    model,
    arch_config,
    save_path,
    logger,
    yaml_path,
    config,
    input_shape=None,
    quanter=None,
):

    model = dynamic_to_static(model, arch_config, logger, input_shape)

    if quanter is None:
        try:
            import encryption  # Attempt to import the encryption module for AIStudio's encryption model
        except (
            ModuleNotFoundError
        ):  # Encryption is not needed if the module cannot be imported
            print("Skipping import of the encryption module")
        paddle_version = version.parse(paddle.__version__)
        if config["Global"].get("export_with_pir", True):
            assert (
                paddle_version >= version.parse("3.0.0b2")
                or paddle_version == version.parse("0.0.0")
            ) and os.environ.get("FLAGS_enable_pir_api", None) not in ["0", "False"]
            paddle.jit.save(model, save_path)
        else:
            if paddle_version >= version.parse(
                "3.0.0b2"
            ) or paddle_version == version.parse("0.0.0"):
                model.forward.rollback()
                with paddle.pir_utils.OldIrGuard():
                    model = dynamic_to_static(model, arch_config, logger, input_shape)
                    paddle.jit.save(model, save_path)
            else:
                paddle.jit.save(model, save_path)
    else:
        quanter.save_quantized_model(model, save_path)
    logger.info("inference model is saved to {}".format(save_path))
    return