code: def forward(self, input):
      if len(input.size()) <= 2:
          return self.linear(input)
      size = input.size()[:2]
      out = self.linear(input.view(size[0] * size[1], -1))
      return out.view(size[0], size[1], -1)
  
imports: import unittest
  import torch
  import torch.nn.functional
  import torchvision
  import nni.nas.nn.pytorch.layers
  from nni.nas.nn.pytorch import ParametrizedModule
  from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
label_desc: Use image node_id 2 for calling the Linear obj's underlying member method code with example usage: obj.forward(input) and returns: out, self