| # 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 | |
| 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 | |