# 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

