class_docstr: A Pipeline that splits NoteSequences on time signature & tempo changes.
class_docstr_tok: ["A","Pipeline","that","splits","NoteSequences","on","time","signature","&","tempo","changes","."]
code: def transform(self, input_object):
      note_sequence = input_object
      return sequences_lib.split_note_sequence_on_time_changes(
          note_sequence
      )
  
imports: import copy
  from magenta.pipelines import pipeline
  from magenta.pipelines import statistics
  from note_seq import constants
  from note_seq import sequences_lib
  from note_seq.protobuf import music_pb2
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the TimeChangeSplitter obj's underlying member method code with example usage: obj.transform(input_object) and returns: sequences_lib