class_docstr: Metrics for MIDI heuristic.
class_docstr_tok: ["Metrics","for","MIDI","heuristic","."]
code: def flush(self, step):
      self._midi_metrics.flush(step)
  
imports: import ddsp
  from ddsp.training import heuristics
  from ddsp.training import metrics
  from ddsp.training import summaries
  import gin
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the MidiHeuristicEvaluator obj's underlying member method code with example usage: obj.flush(step) without return types