code: def forward(self, inputs):
      x = inputs
      for i in range(1, self.n + 1):
          conv = getattr(self, "conv%d" % i)
          x = conv(x)
  
      return x
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import init
label_desc: Use image node_id 2 for calling the unetConv2 obj's underlying member method code with example usage: obj.forward(inputs) and returns: x