class_docstr: A Module that converts lead sheets to a model specific encoding.
code: def get_stats(self):
      return {}
  
file_path: magenta/magenta/models/improv_rnn/improv_rnn_pipeline.py
imports: from magenta.pipelines import dag_pipeline
  from magenta.pipelines import lead_sheet_pipelines
  from magenta.pipelines import note_sequence_pipelines
  from magenta.pipelines import pipeline
  from magenta.pipelines import pipelines_common
  from magenta.pipelines import statistics
  import note_seq
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the EncoderPipeline obj's underlying member method code with example usage: obj.get_stats() and returns: dict