class_docstr: Predict VST controls, but explicitly handle RNN state.
class_docstr_tok: ["Predict","VST","controls",",","but","explicitly","handle","RNN","state","."]
code: def _signatures(self):
      return {
          "call": self.call.get_concrete_function(
              f0_scaled=tf.TensorSpec(shape=[1], dtype=tf.float32),
              pw_scaled=tf.TensorSpec(shape=[1], dtype=tf.float32),
              state=tf.TensorSpec(
                  shape=[self.state_size], dtype=tf.float32
              ),
          )
      }
  
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 VSTStatelessPredictControls obj's underlying member method code with example usage: obj._signatures() and returns: dict