docstr: Forward pass for generic feed-forward DNNs. Assumes activation names
  are valid pytorch activation names.
  :param input tensor
docstr_tok: ["Forward","pass","for","generic","feed-forward","DNNs",".","Assumes","activation","names","are","valid","pytorch","activation","names",".",":","param","input","tensor"]
code: def forward(self, input: torch.Tensor) -> torch.Tensor:
      """Forward pass for generic feed-forward DNNs. Assumes activation names
      are valid pytorch activation names.
      :param input tensor
      """
      return self.dnn(input)
  
imports: import logging
  import math
  from typing import List, Optional
  import torch
  import torch.nn
  import torch.nn.init
  from reagent.core import types
  from reagent.models.base import ModelBase
  from reagent.models.residual_wrapper import ResidualWrapper
label_desc: Use image node_id 3 for calling the FullyConnectedNetwork obj's underlying member method code with example usage: obj.forward(input) and returns: self