class_docstr: MLP (Full layers) discriminator/classifier.
class_docstr_tok: ["MLP","(","Full","layers",")","discriminator\/classifier","."]
code: def __init__(self, output_size=1, layers=(2048,) * 4, name="D"):
      super(DFull, self).__init__(name=name)
      self.layers = layers
      self.output_size = output_size
  
imports: import numpy
  import sonnet
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new DFull object from inherited base classes: snt with example: obj = DFull(output_size, layers, name)