code: def make_decoder_block(in_channels, middle_channels, out_channels):
      return nn.Sequential(
          nn.Conv2d(in_channels, middle_channels, 3, padding=1),
          nn.ReLU(inplace=True),
          nn.ConvTranspose2d(
              middle_channels,
              out_channels,
              kernel_size=4,
              stride=2,
              padding=1,
          ),
          nn.ReLU(inplace=True),
      )
  
file_path: skorch/examples/nuclei_image_segmentation/model.py
imports: import torch
  import torch.nn
  from torchvision import models
label_desc: Use image node_id 1 for calling a global function with example usage: make_decoder_block(in_channels, middle_channels, out_channels) and returns: nn