code: def __init__(
      self,
      input_size,
      h_sizes,
      z_pres_size,
      z_where_size,
      non_linear_layer,
  ):
      super().__init__()
      self.z_pres_size = z_pres_size
      self.z_where_size = z_where_size
      output_size = z_pres_size + 2 * z_where_size
      self.mlp = MLP(
          input_size, h_sizes + [output_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 Predict object from inherited base classes: nn with example: obj = Predict(input_size, h_sizes, z_pres_size, z_where_size, non_linear_layer)