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 tensorflow
  import numpy
  from finetune.encoding.target_encoders import RegressionEncoder
  from finetune.target_models.comparison import ComparisonPipeline
  from finetune.nn.target_blocks import regressor
  from finetune.base import BaseModel
  from finetune.model import PredictMode
label_desc: Use image node_id 2 for calling the ComparisonRegressionPipeline obj's underlying member method code with example usage: obj.feed_shape_type_def() and returns: types,  tf,  shapes,  TS