wehub-resource-sync
143 lines
4.3 KiB
Python
143 lines
4.3 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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import abc
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import inspect
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from functools import partial
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from collections.abc import Callable
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from paddle.nn import Layer
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from .base_quanter import BaseQuanter
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class ClassWithArguments(metaclass=abc.ABCMeta):
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def __init__(self, *args: Any, **kwargs: Any) -> None:
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self._args = args
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self._kwargs = kwargs
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@property
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def args(self):
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return self._args
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@property
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def kwargs(self):
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return self._kwargs
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@abc.abstractmethod
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def _get_class(self):
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pass
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def __str__(self):
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args_str = ",".join(
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list(self.args) + [f"{k}={v}" for k, v in self.kwargs.items()]
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)
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return f"{self.__class__.__name__}({args_str})"
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def __repr__(self):
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return self.__str__()
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class QuanterFactory(ClassWithArguments):
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r"""
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The factory holds the quanter's class information and
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the arguments used to create quanter instance.
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"""
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def __init__(self, *args: Any, **kwargs: Any) -> None:
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super().__init__(*args, **kwargs)
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self.partial_class = None
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def _instance(self, layer: Layer) -> BaseQuanter:
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r"""
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Create an instance of quanter for target layer.
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"""
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if self.partial_class is None:
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self.partial_class = partial(
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self._get_class(), *self.args, **self.kwargs
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)
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return self.partial_class(layer)
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ObserverFactory = QuanterFactory
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def quanter(
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class_name: str,
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) -> Callable[[type[BaseQuanter]], type[BaseQuanter]]:
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r"""
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Annotation to declare a factory class for quanter.
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Args:
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class_name (str): The name of factory class to be declared.
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Examples:
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.. code-block:: pycon
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>>> # type: ignore
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>>> # doctest: +SKIP('need 2 file to run example')
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>>> # Given codes in ./customized_quanter.py
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>>> from paddle.quantization import quanter
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>>> from paddle.quantization import BaseQuanter
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>>> @quanter("CustomizedQuanter")
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>>> class CustomizedQuanterLayer(BaseQuanter):
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... def __init__(self, arg1, kwarg1=None):
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... pass
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>>> # Used in ./test.py
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>>> # from .customized_quanter import CustomizedQuanter
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>>> from paddle.quantization import QuantConfig
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>>> arg1_value = "test"
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>>> kwarg1_value = 20
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>>> quanter = CustomizedQuanter(arg1_value, kwarg1=kwarg1_value)
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>>> q_config = QuantConfig(activation=quanter, weight=quanter)
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"""
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def wrapper(target_class: type[BaseQuanter]) -> type[BaseQuanter]:
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init_function_str = f"""
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def init_function(self, *args, **kwargs):
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super(type(self), self).__init__(*args, **kwargs)
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import importlib
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module = importlib.import_module("{target_class.__module__}")
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my_class = getattr(module, "{target_class.__name__}")
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globals()["{target_class.__name__}"] = my_class
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def get_class_function(self):
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return {target_class.__name__}
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locals()["init_function"]=init_function
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locals()["get_class_function"]=get_class_function
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"""
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exec(init_function_str)
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frm = inspect.stack()[1]
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mod = inspect.getmodule(frm[0])
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new_class = type(
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class_name,
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(QuanterFactory,),
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{
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"__init__": locals()["init_function"],
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"_get_class": locals()["get_class_function"],
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},
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)
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setattr(mod, class_name, new_class)
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if "__all__" in mod.__dict__:
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mod.__all__.append(class_name)
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return target_class
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return wrapper
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