code: def forward(self, x):
      if isinstance(x, torch.Tensor):
          _, _, h, w = x.size()
      elif isinstance(x, tuple) or isinstance(x, list):
          _, _, h, w = x[0].size()
      else:
          raise RuntimeError("unknown input type")
  
      feat1 = self.context(x)
      feat2 = self.conv2(x)
      feat3 = self.conv3(x)
      feat4 = self.conv4(x)
      feat5 = self.conv5(x)
  
      if isinstance(x, torch.Tensor):
          out = torch.cat((feat1, feat2, feat3, feat4, feat5), dim=1)
      elif isinstance(x, tuple) or isinstance(x, list):
          out = self._cat_each(feat1, feat2, feat3, feat4, feat5)
      else:
          raise RuntimeError("unknown input type")
  
      output = self.conv_bn_dropout(out)
      return output
  
imports: import torch
  import torch.nn.functional
  from torch import nn
  from ..modules.activations import ABN
label_desc: Use image node_id 3 for calling the ASPObjectContextBlock obj's underlying member method code with example usage: obj.forward(x) and returns: output