wehub-resource-sync
143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
# Copyright (c) 2023 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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# The implementation refers to https://arpitbhayani.me/blogs/function-overloading.
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# Note: it is customed for paddle.static.amp.decorate function.
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import inspect
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import logging
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from enum import Enum
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from paddle.base.log_helper import get_logger
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_logger = get_logger(
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__name__, logging.INFO, fmt='%(asctime)s-%(levelname)s: %(message)s'
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)
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class FunctionType(Enum):
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FP16_ONLY = 0
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COMMON = 1
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class Function:
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"""
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Function is a wrap over standard python function
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An instance of this Function class is also callable
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just like the python function that it wrapped.
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When the instance is "called" like a function it fetches
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the function to be invoked from the virtual namespace and then
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invokes the same.
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"""
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def __init__(self, fn):
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self.fn = fn
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def __call__(self, *args, **kwargs):
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"""
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Overriding the __call__ function which makes the
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instance callable.
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"""
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# fetching the function to be invoked from the virtual namespace
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# through the arguments.
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fn = Namespace.get_instance().get(*args, **kwargs)
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# invoking the wrapped function and returning the value.
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return fn(*args, **kwargs)
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class Namespace:
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"""
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Namespace is the singleton class that is responsible
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for holding all the functions.
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"""
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__instance = None
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def __init__(self):
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if self.__instance is None:
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self.function_map = {}
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Namespace.__instance = self
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else:
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raise Exception("cannot instantiate Namespace again.")
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@staticmethod
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def get_instance():
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if Namespace.__instance is None:
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Namespace()
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return Namespace.__instance
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def register(self, fn, key):
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"""
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Register the function in the virtual namespace and return
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an instance of callable Function that wraps the function fn.
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Args:
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fn (function): the native python function handle.
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key (FunctionType): the specified type.
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"""
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assert isinstance(key, FunctionType), (
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f"The type of key is expected to be FunctionType, but received {type(key)}."
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)
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func = Function(fn)
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self.function_map[key] = fn
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return func
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def get(self, *args, **kwargs):
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"""
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Get the matching function from the virtual namespace according to the actual arguments.
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Return None if it did not find any matching function.
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"""
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_logger.debug(f"get function: args={args}, kwargs={kwargs}")
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satisfied_function_keys = set(self.function_map.keys())
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num_actual_args = len(args) + len(kwargs)
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for func_key in self.function_map.keys():
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if func_key not in satisfied_function_keys:
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continue
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fn = self.function_map[func_key]
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specs = inspect.getfullargspec(fn)
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if len(specs) < len(args) + len(kwargs):
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# Remove the not satisfied function according to the number of actual arguments.
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_logger.debug(
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f"fn={fn} (key={func_key}) is not satisfied and removed."
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)
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satisfied_function_keys.remove(func_key)
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continue
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if len(kwargs) > 0:
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# Remove the not satisfied function according to argument keys in kwargs.
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for arg_name, value in kwargs.items():
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if arg_name not in specs.args:
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_logger.debug(
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f"fn={fn} (key={func_key}) is not satisfied and removed."
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)
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satisfied_function_keys.remove(func_key)
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break
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if len(satisfied_function_keys) == 1:
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key = next(iter(satisfied_function_keys))
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elif len(args) >= 3 and isinstance(args[2], float):
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key = FunctionType.FP16_ONLY
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else:
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key = FunctionType.COMMON
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return self.function_map.get(key)
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def overload(key):
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"""overload is the decorator that wraps the function
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and returns a callable object of type Function.
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"""
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def decorator(fn):
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return Namespace.get_instance().register(fn, key)
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return decorator
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