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# Copyright (C) 2021, PaddleNLP
# This file is distributed under the same license as the PaddleNLP package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2022.
#
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"Project-Id-Version: PaddleNLP \n"
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#: ../source/paddlenlp.transformers.utils.rst:2
msgid "utils"
msgstr ""

#: of paddlenlp.transformers.utils.fn_args_to_dict:1
msgid ""
"Inspect function `func` and its arguments for running, and extract a dict"
" mapping between argument names and keys."
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta:1
msgid "基类：:class:`type`"
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta:1
msgid ""
"This metaclass wraps the `__init__` method of a class to add "
"`init_config` attribute for instances of that class, and `init_config` "
"use a dict to track the initial configuration. If the class has "
"`_wrap_init` method, it would be hooked after `__init__` and called as "
"`_wrap_init(self, init_fn, init_args)`. Since InitTrackerMeta would be "
"used as metaclass for pretrained model classes, which always are Layer "
"and `type(Layer)` is not `type`, thus use `type(Layer)` rather than "
"`type` as base class for it to avoid inheritance metaclass conflicts."
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta.init_and_track_conf:1
msgid ""
"wraps `init_func` which is `__init__` method of a class to add "
"`init_config` attribute for instances of that class. :param init_func: It"
" should be the `__init__` method of a class. :type init_func: callable "
":param help_func: If provided, it would be hooked after"
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta.init_and_track_conf:6
msgid ""
"`init_func` and called as `_wrap_init(self, init_func, *init_args, "
"**init_args)`. Default None."
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta.init_and_track_conf
msgid "返回"
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta.init_and_track_conf:10
msgid "the wrapped function"
msgstr ""

#: of paddlenlp.transformers.utils.InitTrackerMeta.init_and_track_conf
msgid "返回类型"
msgstr ""

