code: def __init__(self, n_in, widths=[3, 4, 5], filters=100):
      super(CNN_Text, self).__init__()
      Ci = 1
      Co = filters
      h = n_in
      self.convs1 = nn.ModuleList(
          [nn.Conv2d(Ci, Co, (w, h)) for w in widths]
      )
  
file_path: sru/classification/modules.py
imports: import sys
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new CNN_Text object from inherited base classes: nn with example: obj = CNN_Text(n_in, widths, filters)