code: def forward(self, x):
      xs = torch.split(x, self.in_channels, 1)
      return torch.cat([conv(x) for conv, x in zip(self.convs, xs)], 1)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the MDConv obj's underlying member method code with example usage: obj.forward(x) and returns: torch