code: def __init__(self, fc_dim, model_dim, dropout_prob):
      super(PointwiseFeedForwardNetwork, self).__init__()
      self.feed_forward = nn.Sequential(
          nn.Linear(model_dim, fc_dim),
          nn.Dropout(dropout_prob),
          nn.GELU(),
          nn.Linear(fc_dim, model_dim),
          nn.Dropout(dropout_prob),
      )
  
imports: from collections import OrderedDict
  import os
  import numpy
  import torch
  from torch import nn
  from gluoncv.torch.utils.coot_utils import truncated_normal_fill
label_desc: Use image node_id 1 to create a new PointwiseFeedForwardNetwork object from inherited base classes: nn with example: obj = PointwiseFeedForwardNetwork(fc_dim, model_dim, dropout_prob)