Source code for texar.utils.variables

# Copyright 2018 The Texar 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.
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# See the License for the specific language governing permissions and
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Utility functions related to variables.

from __future__ import absolute_import
from __future__ import print_function
from __future__ import division

# pylint: disable=invalid-name

import tensorflow as tf

__all__ = [

[docs]def get_unique_named_variable_scope(base_name): """Returns a variable scope with a unique name. Args: base_name (str): The base name to uniquified. Returns: An instance of :tf_main:`variable_scope <variable_scope>`. Example: .. code-block:: python vs = get_unique_named_variable_scope('base_name') with tf.variable_scope(vs): .... """ with tf.variable_scope(None, default_name=base_name) as vs: return vs
[docs]def add_variable(variable, var_list): """Adds variable to a given list. Args: variable: A (list of) variable(s). var_list (list): The list where the :attr:`variable` are added to. """ if isinstance(variable, (list, tuple)): for var in variable: add_variable(var, var_list) else: if variable not in var_list: var_list.append(variable)
[docs]def collect_trainable_variables(modules): """Collects all trainable variables of modules. Trainable variables included in multiple modules occur only once in the returned list. Args: modules: A (list of) instance of the subclasses of :class:`~texar.modules.ModuleBase`. Returns: A list of trainable variables in the modules. """ if not isinstance(modules, (list, tuple)): modules = [modules] var_list = [] for mod in modules: add_variable(mod.trainable_variables, var_list) return var_list