class_docstr: Computes F0 and loudness metrics.
class_docstr_tok: ["Computes","F0","and","loudness","metrics","."]
code: def flush(self, step):
      self._loudness_metrics.flush(step)
      self._f0_metrics.flush(step)
      if self._run_f0_crepe:
          self._f0_crepe_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 4 for calling the F0LdEvaluator obj's underlying member method code with example usage: obj.flush(step) without return types