__init__.py

# Copyright 2015 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.
# ==============================================================================
import tensorflow.compat.v2 as tf


class EpochDots(tf.keras.callbacks.Callback):
  """A simple callback that prints a "." every epoch, with occasional reports.

  Args:
    report_every: How many epochs between full reports
    dot_every: How many epochs between dots.
  """

  def __init__(self, report_every=100, dot_every=1):
    self.report_every = report_every
    self.dot_every = dot_every

  def on_epoch_end(self, epoch, logs):
    if epoch % self.report_every == 0:
      print()
      print('Epoch: {:d}, '.format(epoch), end='')
      for name, value in sorted(logs.items()):
        print('{}:{:0.4f}'.format(name, value), end=',  ')
      print()

    if epoch % self.dot_every == 0:
      print('.', end='', flush=True)