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training_loop.py
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training_loop.py
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# Copyright 2020 Google Inc. 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.
# ==============================================================================
import tensorflow as tf
from . import training_loop_reconstruction
from . import training_loop_error_distribution
from . import training_loop_dynamic_threshold
class TrainingLoop(
training_loop_reconstruction.TrainingLoopReconstruction,
training_loop_error_distribution.TrainingLoopErrorDistribution,
training_loop_dynamic_threshold.TrainingLoopDynamicThreshold
):
"""Class that contains methods for training loop.
"""
def __init__(self):
"""Instantiate instance of `TrainingLoop`.
"""
pass
@tf.function
def assign_training_phase(self, training_phase):
"""Assigns current training_phase.
"""
self.training_phase.assign(
value=training_phase
)
@tf.function
def reset_epoch_step_var(self):
"""Resets epoch step variable.
"""
self.epoch_step_var.assign(
value=tf.zeros(shape=(), dtype=tf.int64)
)