# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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"""Interface for inference runners."""

from abc import ABC, abstractmethod
from typing import Any, Optional

from ...utils.benchmark import add_inference_operations, benchmark

add_inference_operations("RunnerInfer")


class InferenceRunner(ABC):
    """Loosely typed protocol for executable inference runners."""

    @abstractmethod
    def __call__(self, x: Optional[Any] = None, **kwargs: Any) -> Any:
        """Run inference with positional or keyword inputs."""
        ...

    @abstractmethod
    def close(self) -> None:
        """Release any runner resources if necessary."""
        ...

    def __init_subclass__(cls, **kwargs):
        super().__init_subclass__(**kwargs)
        if "__call__" in cls.__dict__:
            cls.__call__ = benchmark.timeit_with_options(name="RunnerInfer")(
                cls.__call__
            )