class_docstr: Evaluates F0s created with TWM heuristic.
class_docstr_tok: ["Evaluates","F0s","created","with","TWM","heuristic","."]
code: def evaluate(self, batch, outputs, losses):
      del losses  # Unused.
      twm_f0 = self._compute_twm_f0(outputs)
      self._f0_twm_metrics.update_state(batch, twm_f0)
  
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 3 for calling the TWMEvaluator obj's underlying member method code with example usage: obj.evaluate(batch, outputs, losses) without return types