code: def forward(self, x, mask=None):
      out = self.block(x)
      if self.with_se:
          out = self.se(out, mask)
      return out
  
file_path: carefree-learn/cflearn/api/cv/third_party/iharm/model/modeling/conv_autoencoder.py
imports: import torch
  import torch.nn
  from .basic_blocks import ConvBlock
  from ..ops import FeaturesConnector
  from ..ops import MaskedChannelAttention
label_desc: Use image node_id 2 for calling the SEDeconvBlock obj's underlying member method code with example usage: obj.forward(x, mask) and returns: out