class_docstr: Represents the output of a generic prediction head.
  
  A generic prediction need not be either a classification or a regression.
  
  Named outputs must be provided as a dict from string to `Tensor`,
class_docstr_tok: ["Represents","the","output","of","a","generic","prediction","head",".","A","generic","prediction","need","not","be","either","a","classification","or","a","regression",".","Named","outputs","must","be","provided","as","a","dict","from","string","to","`","Tensor","`",","]
code: def as_signature_def(self, receiver_tensors):
      return signature_def_utils.predict_signature_def(
          receiver_tensors, self.outputs
      )
  
imports: import abc
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.keras.saving.utils_v1 import signature_def_utils
  from tensorflow.python.saved_model import signature_def_utils
label_desc: Use image node_id 3 for calling the PredictOutput obj's underlying member method code with example usage: obj.as_signature_def(receiver_tensors) and returns: signature_def_utils