class_docstr: A model for testing batched predictions with a minibatch size of 3.
docstr: Returns the number of times predict_minibatch has been called.
docstr_tok: ["Returns","the","number","of","times","predict_minibatch","has","been","called","."]
code: def count(self):
      """Returns the number of times predict_minibatch has been called."""
      return self._count
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
label_desc: Use image node_id 2 for calling the _BatchingTestModel obj's underlying member method code with example usage: obj.count() and returns: self