code: def __init__(
      self, num_parallel_samples: int = 100, *args, **kwargs
  ) -> None:
      super().__init__(*args, **kwargs)
      self.num_parallel_samples = num_parallel_samples
  
file_path: gluonts/src/gluonts/nursery/robust-mts-attack/pts/model/simple_feedforward/simple_feedforward_network.py
imports: from typing import List
  import torch
  import torch.nn
  from torch.distributions import Distribution
  from gluonts.core.component import validated
  from gluonts.torch.modules.distribution_output import DistributionOutput
  from gluonts.torch.modules.lambda_layer import LambdaLayer
  from pts.modules import MeanScaler, NOPScaler
label_desc: Use image node_id 1 to create a new SimpleFeedForwardPredictionNetwork object from inherited base classes: SimpleFeedForwardNetworkBase with example: obj = SimpleFeedForwardPredictionNetwork(num_parallel_samples)