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| # Copyright 2023 The Orbit 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. | |
| """Provides a utility class for training in epochs.""" | |
| import tensorflow as tf, tf_keras | |
| class EpochHelper: | |
| """A helper class handle bookkeeping of epochs in custom training loops.""" | |
| def __init__(self, epoch_steps: int, global_step: tf.Variable): | |
| """Initializes the `EpochHelper` instance. | |
| Args: | |
| epoch_steps: An integer indicating how many steps are in an epoch. | |
| global_step: A `tf.Variable` providing the current global step. | |
| """ | |
| self._epoch_steps = epoch_steps | |
| self._global_step = global_step | |
| self._current_epoch = None | |
| self._epoch_start_step = None | |
| self._in_epoch = False | |
| def epoch_begin(self): | |
| """Returns whether a new epoch should begin.""" | |
| if self._in_epoch: | |
| return False | |
| current_step = self._global_step.numpy() | |
| self._epoch_start_step = current_step | |
| self._current_epoch = current_step // self._epoch_steps | |
| self._in_epoch = True | |
| return True | |
| def epoch_end(self): | |
| """Returns whether the current epoch should end.""" | |
| if not self._in_epoch: | |
| raise ValueError("`epoch_end` can only be called inside an epoch.") | |
| current_step = self._global_step.numpy() | |
| epoch = current_step // self._epoch_steps | |
| if epoch > self._current_epoch: | |
| self._in_epoch = False | |
| return True | |
| return False | |
| def batch_index(self): | |
| """Index of the next batch within the current epoch.""" | |
| return self._global_step.numpy() - self._epoch_start_step | |
| def current_epoch(self): | |
| return self._current_epoch | |