class_docstr: Decoder Layer.
  
  Autoformer decoder layer with the progressive decomposition architecture
class_docstr_tok: ["Decoder","Layer",".","Autoformer","decoder","layer","with","the","progressive","decomposition","architecture"]
code: def __init__(
      self,
      self_attention,
      cross_attention,
      d_model,
      c_out,
      d_ff=None,
      moving_avg=25,
      dropout=0.1,
      activation="relu",
  ):
      self.self_attention = self_attention
      self.cross_attention = cross_attention
      self.d_model = d_model
      self.c_out = c_out
      self.d_ff = d_ff
      self.moving_avg = moving_avg
      self.dropout = dropout
      self.activation = activation
  
imports: from sktime.utils.validation._dependencies import _check_soft_dependencies
  import math
label_desc: Use image node_id 1 to create a new DecoderLayer object  with example: obj = DecoderLayer(_attention, cross_attention, d_model, c_out, d_ff, moving_avg, dropout, activation)