class_docstr: Predict melspectrogram from aligned phonemes
class_docstr_tok: ["Predict","melspectrogram","from","aligned","phonemes"]
code: def prenet(self, x, dropout=0.5):
      x = jax.nn.relu(self.prenet_fc1(x))
      x = hk.dropout(hk.next_rng_key(), dropout, x)
      x = jax.nn.relu(self.prenet_fc2(x))
      x = hk.dropout(hk.next_rng_key(), dropout, 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 2 for calling the AcousticModel obj's underlying member method code with example usage: obj.prenet(x, dropout) and returns: x