class_docstr: Predict melspectrogram from aligned phonemes
class_docstr_tok: ["Predict","melspectrogram","from","aligned","phonemes"]
code: def postnet(self, mel: ndarray) -> ndarray:
      x = mel
      for conv, bn in zip(self.postnet_convs, self.postnet_bns):
          x = conv(x)
          if bn is not None:
              x = bn(x, is_training=self.is_training)
              x = jnp.tanh(x)
          x = (
              hk.dropout(hk.next_rng_key(), 0.5, x)
              if self.is_training
              else x
          )
      return x
  
imports: import haiku
  import jax
  import jax.numpy
  from jax.numpy import ndarray
  from .config import FLAGS, AcousticInput, DurationInput
label_desc: Use image node_id 4 for calling the AcousticModel obj's underlying member method code with example usage: obj.postnet(mel) and returns: x