class_docstr: Predict VST controls, but explicitly handle RNN state.
class_docstr_tok: ["Predict","VST","controls",",","but","explicitly","handle","RNN","state","."]
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.
      f0_scaled = tf.zeros([1])
      pw_scaled = tf.zeros([1])
      state = tf.zeros([self.state_size])
      self._build_network(f0_scaled, pw_scaled, state)
  
imports: import ddsp
  from ddsp.training import models
  from ddsp.training import train_util
  import gin
  import tensorflow
label_desc: Use image node_id 3 for calling the VSTStatelessPredictControls obj's underlying member method code with example usage: obj.build_network() without return types