class_docstr: VST inference modules, for models trained with `models/vst/vst.gin`.
class_docstr_tok: ["VST","inference","modules",",","for","models","trained","with","`","models\/vst\/vst.gin","`","."]
docstr: Run a fake batch through the network.
code: def build_network(self):
      """Run a fake batch through the network."""
      # Need two frames because of interpolation.
      amps = tf.zeros([1])
      prev_amps = tf.zeros([1])
      hd = tf.zeros([self.n_harmonics])
      prev_hd = tf.zeros([self.n_harmonics])
      f0 = tf.zeros([1])
      prev_f0 = tf.zeros([1])
      prev_phase = tf.zeros([1])
      self._build_network(
          amps, prev_amps, hd, prev_hd, f0, prev_f0, prev_phase
      )
  
imports: import ddsp
  from ddsp.training import models
  from ddsp.training import train_util
  import gin
  import tensorflow
label_desc: Use image node_id 2 for calling the VSTSynthesizeHarmonic obj's underlying member method code with example usage: obj.build_network() without return types