annotator/oneformer/detectron2/config/config.py

# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates.

import functools
import inspect
import logging
from fvcore.common.config import CfgNode as _CfgNode

from annotator.oneformer.detectron2.utils.file_io import PathManager


class CfgNode(_CfgNode):
    """
    The same as `fvcore.common.config.CfgNode`, but different in:

    1. Use unsafe yaml loading by default.
       Note that this may lead to arbitrary code execution: you must not
       load a config file from untrusted sources before manually inspecting
       the content of the file.
    2. Support config versioning.
       When attempting to merge an old config, it will convert the old config automatically.

    .. automethod:: clone
    .. automethod:: freeze
    .. automethod:: defrost
    .. automethod:: is_frozen
    .. automethod:: load_yaml_with_base
    .. automethod:: merge_from_list
    .. automethod:: merge_from_other_cfg
    """

    @classmethod
    def _open_cfg(cls, filename):
        return PathManager.open(filename, "r")

    # Note that the default value of allow_unsafe is changed to True
    def merge_from_file(self, cfg_filename: str, allow_unsafe: bool = True) -> None:
        """
        Load content from the given config file and merge it into self.

        Args:
            cfg_filename: config filename
            allow_unsafe: allow unsafe yaml syntax
        """
        assert PathManager.isfile(cfg_filename), f"Config file '{cfg_filename}' does not exist!"
        loaded_cfg = self.load_yaml_with_base(cfg_filename, allow_unsafe=allow_unsafe)
        loaded_cfg = type(self)(loaded_cfg)

        # defaults.py needs to import CfgNode
        from .defaults import _C

        latest_ver = _C.VERSION
        assert (
            latest_ver == self.VERSION
        ), "CfgNode.merge_from_file is only allowed on a config object of latest version!"

        logger = logging.getLogger(__name__)

        loaded_ver = loaded_cfg.get("VERSION", None)
        if loaded_ver is None:
            from .compat import guess_version

            loaded_ver = guess_version(loaded_cfg, cfg_filename)
        assert loaded_ver <= self.VERSION, "Cannot merge a v{} config into a v{} config.".format(
            loaded_ver, self.VERSION
        )

        if loaded_ver == self.VERSION:
            self.merge_from_other_cfg(loaded_cfg)
        else:
            # compat.py needs to import CfgNode
            from .compat import upgrade_config, downgrade_config

            logger.warning(
                "Loading an old v{} config file '{}' by automatically upgrading to v{}. "
                "See docs/CHANGELOG.md for instructions to update your files.".format(
                    loaded_ver, cfg_filename, self.VERSION
                )
            )
            # To convert, first obtain a full config at an old version
            old_self = downgrade_config(self, to_version=loaded_ver)
            old_self.merge_from_other_cfg(loaded_cfg)
            new_config = upgrade_config(old_self)
            self.clear()
            self.update(new_config)

    def dump(self, *args, **kwargs):
        """
        Returns:
            str: a yaml string representation of the config
        """
        # to make it show up in docs
        return super().dump(*args, **kwargs)


global_cfg = CfgNode()


def get_cfg() -> CfgNode:
    """
    Get a copy of the default config.

    Returns:
        a detectron2 CfgNode instance.
    """
    from .defaults import _C

    return _C.clone()


def set_global_cfg(cfg: CfgNode) -> None:
    """
    Let the global config point to the given cfg.

    Assume that the given "cfg" has the key "KEY", after calling
    `set_global_cfg(cfg)`, the key can be accessed by:
    ::
        from annotator.oneformer.detectron2.config import global_cfg
        print(global_cfg.KEY)

    By using a hacky global config, you can access these configs anywhere,
    without having to pass the config object or the values deep into the code.
    This is a hacky feature introduced for quick prototyping / research exploration.
    """
    global global_cfg
    global_cfg.clear()
    global_cfg.update(cfg)


def configurable(init_func=None, *, from_config=None):
    """
    Decorate a function or a class's __init__ method so that it can be called
    with a :class:`CfgNode` object using a :func:`from_config` function that translates
    :class:`CfgNode` to arguments.

    Examples:
    ::
        # Usage 1: Decorator on __init__:
        class A:
            @configurable
            def __init__(self, a, b=2, c=3):
                pass

            @classmethod
            def from_config(cls, cfg):   # 'cfg' must be the first argument
                # Returns kwargs to be passed to __init__
                return {"a": cfg.A, "b": cfg.B}

        a1 = A(a=1, b=2)  # regular construction
        a2 = A(cfg)       # construct with a cfg
        a3 = A(cfg, b=3, c=4)  # construct with extra overwrite

        # Usage 2: Decorator on any function. Needs an extra from_config argument:
        @configurable(from_config=lambda cfg: {"a: cfg.A, "b": cfg.B})
        def a_func(a, b=2, c=3):
            pass

        a1 = a_func(a=1, b=2)  # regular call
        a2 = a_func(cfg)       # call with a cfg
        a3 = a_func(cfg, b=3, c=4)  # call with extra overwrite

    Args:
        init_func (callable): a class's ``__init__`` method in usage 1. The
            class must have a ``from_config`` classmethod which takes `cfg` as
            the first argument.
        from_config (callable): the from_config function in usage 2. It must take `cfg`
            as its first argument.
    """

    if init_func is not None:
        assert (
            inspect.isfunction(init_func)
            and from_config is None
            and init_func.__name__ == "__init__"
        ), "Incorrect use of @configurable. Check API documentation for examples."

        @functools.wraps(init_func)
        def wrapped(self, *args, **kwargs):
            try:
                from_config_func = type(self).from_config
            except AttributeError as e:
                raise AttributeError(
                    "Class with @configurable must have a 'from_config' classmethod."
                ) from e
            if not inspect.ismethod(from_config_func):
                raise TypeError("Class with @configurable must have a 'from_config' classmethod.")

            if _called_with_cfg(*args, **kwargs):
                explicit_args = _get_args_from_config(from_config_func, *args, **kwargs)
                init_func(self, **explicit_args)
            else:
                init_func(self, *args, **kwargs)

        return wrapped

    else:
        if from_config is None:
            return configurable  # @configurable() is made equivalent to @configurable
        assert inspect.isfunction(
            from_config
        ), "from_config argument of configurable must be a function!"

        def wrapper(orig_func):
            @functools.wraps(orig_func)
            def wrapped(*args, **kwargs):
                if _called_with_cfg(*args, **kwargs):
                    explicit_args = _get_args_from_config(from_config, *args, **kwargs)
                    return orig_func(**explicit_args)
                else:
                    return orig_func(*args, **kwargs)

            wrapped.from_config = from_config
            return wrapped

        return wrapper


def _get_args_from_config(from_config_func, *args, **kwargs):
    """
    Use `from_config` to obtain explicit arguments.

    Returns:
        dict: arguments to be used for cls.__init__
    """
    signature = inspect.signature(from_config_func)
    if list(signature.parameters.keys())[0] != "cfg":
        if inspect.isfunction(from_config_func):
            name = from_config_func.__name__
        else:
            name = f"{from_config_func.__self__}.from_config"
        raise TypeError(f"{name} must take 'cfg' as the first argument!")
    support_var_arg = any(
        param.kind in [param.VAR_POSITIONAL, param.VAR_KEYWORD]
        for param in signature.parameters.values()
    )
    if support_var_arg:  # forward all arguments to from_config, if from_config accepts them
        ret = from_config_func(*args, **kwargs)
    else:
        # forward supported arguments to from_config
        supported_arg_names = set(signature.parameters.keys())
        extra_kwargs = {}
        for name in list(kwargs.keys()):
            if name not in supported_arg_names:
                extra_kwargs[name] = kwargs.pop(name)
        ret = from_config_func(*args, **kwargs)
        # forward the other arguments to __init__
        ret.update(extra_kwargs)
    return ret


def _called_with_cfg(*args, **kwargs):
    """
    Returns:
        bool: whether the arguments contain CfgNode and should be considered
            forwarded to from_config.
    """
    from omegaconf import DictConfig

    if len(args) and isinstance(args[0], (_CfgNode, DictConfig)):
        return True
    if isinstance(kwargs.pop("cfg", None), (_CfgNode, DictConfig)):
        return True
    # `from_config`'s first argument is forced to be "cfg".
    # So the above check covers all cases.
    return False