code: def __init__(
      self, idim, hidden_units, dropout_rate, activation=torch.nn.ReLU()
  ):
      """Construct an PositionwiseFeedForward object."""
      super(PositionwiseFeedForward, self).__init__()
      self.w_1 = torch.nn.Linear(idim, hidden_units)
      self.w_2 = torch.nn.Linear(hidden_units, idim)
      self.dropout = torch.nn.Dropout(dropout_rate)
      self.activation = activation
  
imports: import torch
label_desc: Use image node_id 1 to create a new PositionwiseFeedForward object from inherited base classes: torch.nn with example: obj = PositionwiseFeedForward(idim, hidden_units, dropout_rate, activation)