class_docstr: Wrapper around the base model for custom training logic.
code: def call(self, inputs):
      return self.base_model(inputs)
  
imports: import itertools
  import os
  import math
  import tempfile
  import pytest
  import numpy
  import tensorflow
  from tensorflow_addons.layers.crf import CRF
  from tensorflow_addons.text.crf import crf_log_likelihood
  from tensorflow_addons.utils import test_utils
label_desc: Use image node_id 2 for calling the ModelWithCRFLoss obj's underlying member method code with example usage: obj.call(inputs) and returns: self