code: def __init__(
      self, x_size, h_sizes, z_size, bias, use_sigmoid, non_linear_layer
  ):
      super().__init__()
      self.bias = bias
      self.use_sigmoid = use_sigmoid
      self.mlp = MLP(z_size, h_sizes + [x_size], non_linear_layer)
  
imports: import torch
  import torch.nn
  from torch.nn.functional import softplus
label_desc: Use image node_id 1 to create a new Decoder object from inherited base classes: nn with example: obj = Decoder(x_size, h_sizes, z_size, bias, use_sigmoid, non_linear_layer)