PaddleOCR 3.2.0，导出时模型不保存为pir模型，保存为.pdmodel和.pdparam旧版模型，如何设置？

[weiobscc]

def save_inference_model(
path_prefix: str,
feed_vars: Tensor | list[Tensor],
fetch_vars: Tensor | list[Tensor],
executor: Executor,
**kwargs: Unpack[_SaveInferenceModelKwargs],
) -> None:
if in_pir_mode():
save_inference_model_pir(
path_prefix, feed_vars, fetch_vars, executor, **kwargs
)
return

# check path_prefix, set model_path and params_path
path_prefix = _normalize_path_prefix(path_prefix)
try:
    # mkdir may conflict if pserver and trainer are running on the same machine
    dirname = os.path.dirname(path_prefix)
    os.makedirs(dirname)
except OSError as e:
    if e.errno != errno.EEXIST:
        raise

model_path = path_prefix + ".pdmodel"
params_path = path_prefix + ".pdiparams"
if os.path.isdir(model_path):
    raise ValueError(f"'{model_path}' is an existing directory.")
if os.path.isdir(params_path):
    raise ValueError(f"'{params_path}' is an existing directory.")

# verify feed_vars
_check_vars('feed_vars', feed_vars)
# verify fetch_vars
_check_vars('fetch_vars', fetch_vars)

program = _get_valid_program(kwargs.get('program', None))

# do type promotion
program = process_type_promotion(program)

clip_extra = kwargs.get('clip_extra', True)
# serialize and save program

program = normalize_program(
    program,
    feed_vars,
    fetch_vars,
    skip_prune_program=kwargs.get('skip_prune_program', False),
)
legacy_format = kwargs.get('legacy_format', False)
program_bytes = _serialize_program(
    program._remove_training_info(clip_extra=clip_extra),
    legacy_format=legacy_format,
)

save_to_file(
    (
        os.path.join(os.path.dirname(model_path), "__model__")
        if kwargs.get('separate_parameters', False)
        else model_path
    ),
    program_bytes,
)

vars = list(filter(is_persistable, program.list_vars()))

if len(list(vars)) == 0:
    warnings.warn(
        "no variable in your model, please ensure there are any variables in your model to save"
    )

if len(vars) > 0:
    save_dirname = os.path.dirname(params_path)
    params_filename = os.path.basename(params_path)
    save_vars(
        executor,
        dirname=save_dirname,
        main_program=program,
        predicate=is_persistable,
        filename=(
            None
            if kwargs.get('separate_parameters', False)
            else params_filename
        ),
    )

[liuhongen1234567]

您好，可以参考这个discussion #15988 (reply in thread)

[weiobscc]

好的，谢谢