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","`","."]
code: def _signatures(self):
      return {
          "call": self.call.get_concrete_function(
              amps=tf.TensorSpec(shape=[1], dtype=tf.float32),
              prev_amps=tf.TensorSpec(shape=[1], dtype=tf.float32),
              hd=tf.TensorSpec(
                  shape=[self.n_harmonics], dtype=tf.float32
              ),
              prev_hd=tf.TensorSpec(
                  shape=[self.n_harmonics], dtype=tf.float32
              ),
              f0=tf.TensorSpec(shape=[1], dtype=tf.float32),
              prev_f0=tf.TensorSpec(shape=[1], dtype=tf.float32),
              noise=tf.TensorSpec(
                  shape=[self.n_noise], dtype=tf.float32
              ),
              prev_phase=tf.TensorSpec(shape=[1], 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 5 for calling the VSTSynthesize obj's underlying member method code with example usage: obj._signatures() and returns: dict