class_docstr: A transition used for refining the output of the last stage.
  
  Args:
      in_channels (int): Number of input channels.
      out_channels (int): Number of output channels.
      num_inputs (int): Number of inputs of the FPN features.
      kernel_size (int): Kernel size for the conv. Default: 3.
code: def forward(self, inputs):
      assert len(inputs) == self.num_inputs
      return self.conv_out(inputs[-1])
  
imports: import torch.nn
  import torch.nn.functional
  from mmcv.cnn import ConvModule
  from mmengine.model import BaseModule
  from mmdet.registry import MODELS
label_desc: Use image node_id 2 for calling the LastConv obj's underlying member method code with example usage: obj.forward(inputs) and returns: self