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# Copyright 2018 The TensorFlow 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.
# ==============================================================================
"""Base classes for task-specific modules."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
class SupervisedModule(object):
__metaclass__ = abc.ABCMeta
def __init__(self):
self.supervised_loss = NotImplemented
self.probs = NotImplemented
self.preds = NotImplemented
@abc.abstractmethod
def update_feed_dict(self, feed, mb):
pass
class SemiSupervisedModule(SupervisedModule):
__metaclass__ = abc.ABCMeta
def __init__(self):
super(SemiSupervisedModule, self).__init__()
self.unsupervised_loss = NotImplemented
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