class_docstr: The SavedModel fingerprint.
  
  Each attribute of this class is named after a field name in the
  FingerprintDef proto and contains the value of the respective field in the
  protobuf.
  
  Attributes:
    saved_model_checksum: A uint64 containing the `saved_model_checksum`.
    graph_def_program_hash: A uint64 containing `graph_def_program_hash`.
    signature_def_hash: A uint64 containing the `signature_def_hash`.
    saved_object_graph_hash: A uint64 containing the `saved_object_graph_hash`.
    checkpoint_hash: A uint64 containing the`checkpoint_hash`.
    version: An int32 containing the producer field of the VersionDef.
code: def __repr__(self) -> str:
      return (
          f"Fingerprint({self.saved_model_checksum}, "
          f"{self.graph_def_program_hash}, "
          f"{self.signature_def_hash}, "
          f"{self.saved_object_graph_hash}, "
          f"{self.checkpoint_hash})"
      )
  
file_path: tensorflow-upstream/tensorflow/python/saved_model/fingerprinting.py
imports: from typing import Any
  from tensorflow.core.protobuf import fingerprint_pb2
  from tensorflow.python.saved_model.pywrap_saved_model import fingerprinting
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 5 for calling the Fingerprint obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str, self, str, self, str