class_docstr: Abstract class for generators.
class_docstr_tok: ["Abstract","class","for","generators","."]
docstr: Returns the BundleDetails or None if checkpoint was used.
docstr_tok: ["Returns","the","BundleDetails","or","None","if","checkpoint","was","used","."]
code: def bundle_details(self):
      """Returns the BundleDetails or None if checkpoint was used."""
      if self._bundle is None:
          return None
      return self._bundle.bundle_details
  
imports: import abc
  import os
  import tempfile
  from note_seq.protobuf import generator_pb2
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the BaseSequenceGenerator obj's underlying member method code with example usage: obj.bundle_details() and returns: self, None