# Copyright (c) 2018 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. # See the License for the specific language governing permissions and # limitations under the License. from __future__ import print_function import collections from .wrapped_decorator import signature_safe_contextmanager import six import sys __all__ = ['generate', 'switch', 'guard'] class UniqueNameGenerator(object): """ Generate unique name with prefix. Args: prefix(str): The generated name prefix. All generated name will be started with this prefix. """ def __init__(self, prefix=None): self.ids = collections.defaultdict(int) if prefix is None: prefix = "" self.prefix = prefix def __call__(self, key): """ Generate unique names with prefix Args: key(str): The key of return string. Returns(str): A unique string with the prefix """ tmp = self.ids[key] self.ids[key] += 1 return self.prefix + "_".join([key, str(tmp)]) class DygraphParameterNameChecker(object): """ Check whether the name of parameter is used. """ def __init__(self): self._name_set = set() def __call__(self, name): ''' Check whether the name is used. If not used, insert into the _name_set. Args: name(str): The name of parameter to check. Returns(bool): If the name is in name_set, return True; Otherwise, return False. ''' if name in self._name_set: return True else: self._name_set.add(name) return False dygraph_parameter_name_checker = DygraphParameterNameChecker() generator = UniqueNameGenerator() def generate(key): """ Generate unique name with prefix key. Currently, Paddle distinguishes the names of the same key by numbering it from zero. For example, when key=fc, it continuously generates fc_0, fc_1, fc_2, etc. Args: key(str): The prefix of generated name. Returns: str: A unique string with the prefix key. Examples: .. code-block:: python import paddle.fluid as fluid name1 = fluid.unique_name.generate('fc') name2 = fluid.unique_name.generate('fc') print(name1, name2) # fc_0, fc_1 """ return generator(key) # FIXME(zjl): The previous naming rule in static graph would # cause memory leak in dygraph mode. It is because the previous # naming rule would use `conv_0.tmp` as the key, and in dygraph # mode, `conv_i` increases as batch increases. Thus, keys would # increase in a way like `conv_0.tmp`, `conv_1.tmp`, .... # Not find a better way to fix this bug in dygraph mode. In TF, # variable name is meaningless in eager execution mode, and in # PyTorch, there is no variable name at all. Maybe we should # discard variable name in dygraph mode. # # Another concern is that save/load interfaces. Usually, user # would save model in static graph mode, and load it in dygraph # mode. Therefore, we keep the variable name of Parameter currently. # # Please fix me if a better method is found. # # NOTE(zhiqiu): use c++ unique_name_generator in dygraph mode, # in order to keep name consistency. def generate_with_ignorable_key(key): from .framework import in_dygraph_mode, _dygraph_tracer if in_dygraph_mode(): return _dygraph_tracer()._generate_unique_name() return generator(key) def switch(new_generator=None, new_para_name_checker=None): """ Switch the namespace of in current context to a new namespace. Though :code:`switch()` and :code:`guard()` can both change namespace, :code:`guard()` is recommended since it can manage the context better together with :code:`with` statement. Args: new_generator(UniqueNameGenerator, optional): A new UniqueNameGenerator, not required normally. Default is None, which means switch to a new anonymous namespace. new_para_name_checker(DygraphParameterNameChecker, optional): A new DygraphParameterNameChecker, not required normally. Default is None, which means switch to a new parameter name checker. Returns: UniqueNameGenerator: The previous UniqueNameGenerator. DygraphParameterNameChecker: The previous DygraphParameterNameChecker Examples: .. code-block:: python import paddle.fluid as fluid name1 = fluid.unique_name.generate('fc') name2 = fluid.unique_name.generate('fc') print(name1, name2) # fc_0, fc_1 pre_generator, pre_dygraph_name_checker = fluid.unique_name.switch() # switch to a new anonymous namespace. name2 = fluid.unique_name.generate('fc') print(name2) # fc_0 fluid.unique_name.switch(pre_generator, pre_dygraph_name_checker) # switch back to pre_generator. name3 = fluid.unique_name.generate('fc') print(name3) # fc_2, since pre_generator has generated fc_0, fc_1. """ global generator old_generator = generator global dygraph_parameter_name_checker old_para_name_checker = dygraph_parameter_name_checker if new_generator is None: generator = UniqueNameGenerator() else: generator = new_generator if new_para_name_checker is None: dygraph_parameter_name_checker = DygraphParameterNameChecker() else: dygraph_parameter_name_checker = new_para_name_checker return old_generator, old_para_name_checker @signature_safe_contextmanager def guard(new_generator=None): """ Change the namespace of unique name with :code:`with` statement. After calling it, a new namespace in the context of :code:`with` will be created, and it will number names from zero again when calling :code:`generate()` with same key. Args: new_generator(str|bytes, optional): New name of global namespace. Note that str in Python2 was spilted into str and bytes in Python3, so here are two types. Default is None. If not None, new_generator will be added into the prefix of unique name generated by :code:`generate()`. Returns: None. Examples: .. code-block:: python import paddle.fluid as fluid with fluid.unique_name.guard(): name_1 = fluid.unique_name.generate('fc') with fluid.unique_name.guard(): name_2 = fluid.unique_name.generate('fc') print(name_1, name_2) # fc_0, fc_0 with fluid.unique_name.guard('A'): name_1 = fluid.unique_name.generate('fc') with fluid.unique_name.guard('B'): name_2 = fluid.unique_name.generate('fc') print(name_1, name_2) # Afc_0, Bfc_0 """ if isinstance(new_generator, six.string_types): new_generator = UniqueNameGenerator(new_generator) elif isinstance(new_generator, six.binary_type): new_generator = UniqueNameGenerator(new_generator.decode()) old_generator, old_para_name_checker = switch(new_generator) yield switch(old_generator, old_para_name_checker)