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171 lines
5.1 KiB
171 lines
5.1 KiB
# Copyright (c) 2018 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 print_function
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import collections
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from .wrapped_decorator import signature_safe_contextmanager
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import six
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import sys
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__all__ = ['generate', 'switch', 'guard']
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class UniqueNameGenerator(object):
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"""
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Generate unique name with prefix.
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Args:
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prefix(str): The generated name prefix. All generated name will be
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started with this prefix.
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"""
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def __init__(self, prefix=None):
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self.ids = collections.defaultdict(int)
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if prefix is None:
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prefix = ""
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self.prefix = prefix
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def __call__(self, key):
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"""
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Generate unique names with prefix
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Args:
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key(str): The key of return string.
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Returns(str): A unique string with the prefix
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"""
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tmp = self.ids[key]
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self.ids[key] += 1
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return self.prefix + "_".join([key, str(tmp)])
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generator = UniqueNameGenerator()
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def generate(key):
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"""
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Generate unique name with prefix key.
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Args:
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key(str): The generated name prefix. All generated name will be
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started with this prefix.
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Returns:
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str: A unique string with the prefix key.
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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name1 = fluid.unique_name.generate('fc')
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name2 = fluid.unique_name.generate('fc')
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# The result is fc_0, fc_1
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print name1, name2
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"""
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return generator(key)
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# FIXME(zjl): The previous naming rule in static graph would
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# cause memory leak in dygraph mode. It is because the previous
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# naming rule would use `conv_0.tmp` as the key, and in dygraph
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# mode, `conv_i` increases as batch increases. Thus, keys would
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# increase in a way like `conv_0.tmp`, `conv_1.tmp`, ....
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# Not find a better way to fix this bug in dygraph mode. In TF,
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# variable name is meaningless in eager execution mode, and in
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# PyTorch, there is no variable name at all. Maybe we should
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# discard variable name in dygraph mode.
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#
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# Another concern is that save/load interfaces. Usually, user
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# would save model in static graph mode, and load it in dygraph
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# mode. Therefore, we keep the variable name of Parameter currently.
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#
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# Please fix me if a better method is found.
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def generate_with_ignorable_key(key):
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from .framework import in_dygraph_mode
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if in_dygraph_mode():
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key = "tmp"
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return generator(key)
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def switch(new_generator=None):
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"""
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Switch the Global namespace to a new namespace.
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Args:
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new_generator(None|UniqueNameGenerator): A new UniqueNameGenerator.
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Returns:
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UniqueNameGenerator: The previous UniqueNameGenerator.
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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name1 = fluid.unique_name.generate('fc')
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name2 = fluid.unique_name.generate('fc')
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# The result is fc_0, fc_1
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print name1, name2
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fluid.unique_name.switch()
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name2 = fluid.unique_name.generate('fc')
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# The result is fc_0
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print name2
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"""
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global generator
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old = generator
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if new_generator is None:
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generator = UniqueNameGenerator()
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else:
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generator = new_generator
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return old
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@signature_safe_contextmanager
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def guard(new_generator=None):
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"""
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Change the global namespace with `with` statement.
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Args:
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new_generator(None|str|bytes): New name of global namespace.
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Note that str in Python2 was spilted into str and bytes in Python3,
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so here are two types. Default is None.
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Examples:
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.. code-block:: python
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import paddle.fluid as fluid
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with fluid.unique_name.guard():
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name_1 = fluid.unique_name.generate('fc')
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with fluid.unique_name.guard():
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name_2 = fluid.unique_name.generate('fc')
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# The result is fc_0, fc_0
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print name_1, name_2
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with fluid.unique_name.guard('A'):
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name_1 = fluid.unique_name.generate('fc')
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with fluid.unique_name.guard('B'):
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name_2 = fluid.unique_name.generate('fc')
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# The result is Afc_0, Bfc_0
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print name_1, name_2
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"""
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if isinstance(new_generator, six.string_types):
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new_generator = UniqueNameGenerator(new_generator)
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elif isinstance(new_generator, six.binary_type):
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new_generator = UniqueNameGenerator(new_generator.decode())
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old = switch(new_generator)
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yield
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switch(old)
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