class_docstr: Base class for tensor generator.
  
  Generator generates tf.Tensor, tf.sparse.SparseTensor, or
  tf.RaggedTensor based on the input spec. The spec is one of the
  tf.TensorSpec, tf.SparseTensorSpec or tf.RaggedTensorSpec.
docstr: Get the generator class which this object represents.
code: def get_generator_cls(self):
      """Get the generator class which this object represents."""
      return type(self)
  
file_path: io/tests/test_atds_avro/utils/generator/generator_base.py
imports: import abc
  import hashlib
  import tensorflow
  from tests.test_atds_avro.utils.hash_util import int_to_bytes
label_desc: Use image node_id 4 for calling the Generator obj's underlying member method code with example usage: obj.get_generator_cls() and returns: type