class_docstr: Take mean of feature embeddings in time.
code: def __init__(self, ch=512, **kwargs):
      super().__init__(**kwargs)
      self.fc = tfkl.Dense(ch)
  
imports: import ddsp
  from ddsp import spectral_ops
  from ddsp.training import nn
  import gin
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new AggregateFeaturesEncoder object from inherited base classes: ZEncoder with example: obj = AggregateFeaturesEncoder(ch)