class_docstr: A callback to intentionally interrupt training.
code: def __init__(self, steps_int, epoch_int):
      self.batch_count = 0
      self.epoch_count = 0
      self.steps_int = steps_int
      self.epoch_int = epoch_int
  
imports: import numpy
  import pytest
  from keras import callbacks
  from keras import layers
  from keras import testing
  from keras.models import Sequential
  from keras.utils import file_utils
label_desc: Use image node_id 1 to create a new InterruptingCallback object from inherited base classes: callbacks with example: obj = InterruptingCallback(steps_int, epoch_int)