code: def feed_shape_type_def(self):
      TS = tf.TensorShape
      types = {"tokens": tf.int32}
      shapes = {"tokens": TS([2, None])}
      if self.config.use_auxiliary_info:
          TS = tf.TensorShape
          types["context"] = tf.float32
          shapes["context"] = TS([2, None, self.config.context_dim])
      return (
          (
              types,
              tf.float32,
          ),
          (
              shapes,
              TS([self.target_dim]),
          ),
      )
  
imports: import numpy
  import tensorflow
  import copy
  from finetune.errors import FinetuneError
  from finetune.base import BaseModel
  from finetune.target_models.classifier import Classifier, ClassificationPipeline
  from finetune.encoding.input_encoder import EncodedOutput, tokenize_context
label_desc: Use image node_id 4 for calling the ComparisonPipeline obj's underlying member method code with example usage: obj.feed_shape_type_def() and returns: types,  tf,  shapes,  TS