code: def RunTfliteCompiler(self):
      # Attempt to run the tflite-style conversion to the current graph.
      converter = tf.lite.TFLiteConverter.from_session(
          self._session, [self._input], [self._output]
      )
      converter.inference_type = tf.lite.constants.FLOAT
      tflite_model = converter.convert()
      output_filename = _TmpFilePath(suffix=".tflite")
      open(output_filename, "wb").write(tflite_model)
      return output_filename
  
imports: import tempfile
  from magenta.models.onsets_frames_transcription import melspec_input
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 9 for calling the MelspecInputTest obj's underlying member method code with example usage: obj.RunTfliteCompiler() and returns: output_filename