class_docstr: Single Inverted bottleneck implementation.
  Args:
      in_channels (int): The number of input channels to bottleneck block.
      out_channels (int): The number of output channels of bottleneck block.
      expansion (int, optional). The expansion factor in bottleneck. Default: 6.
      stride (int, optional). The stride used in depth-wise conv. Defalt: 2.
code: def forward(self, x):
      out = self.block(x)
      if self.use_shortcut:
          out = x + out
      return out
  
imports: import paddle.nn
  import paddle.nn.functional
  import paddle
  from paddleseg.cvlibs import manager
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 2 for calling the InvertedBottleneck obj's underlying member method code with example usage: obj.forward(x) and returns: out