class_docstr: ConvNet decoder for CelebA.
class_docstr_tok: ["ConvNet","decoder","for","CelebA","."]
code: def __init__(
      self,
      layers=(
          (2048, 4, 4),
          (1024, 3, 2),
          (512, 3, 2),
          (256, 5, 2),
          (3, 5, 2),
      ),
      padding_linear_layers=None,
      name="decoder",
  ):
      super(DecoderConv, self).__init__(name=name)
      self.layers = layers
      self.padding_linear_layers = padding_linear_layers or []
  
imports: import numpy
  import sonnet
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new DecoderConv object from inherited base classes: snt with example: obj = DecoderConv(layers, padding_linear_layers, name)