class_docstr: Patch Merging Layer.
  Args:
      input_resolution (`tuple[int]`):
          Resolution of input feature.
      dim (`int`):
          Number of input channels.
      norm_layer (`nn.Module`):
          Normalization layer.  Default: nn.LayerNorm
code: def extra_repr(self) -> str:
      return f"input_resolution={self.input_resolution}, dim={self.dim}"
  
imports: import torch
  from torch import nn
label_desc: Use image node_id 3 for calling the PatchMerging obj's underlying member method code with example usage: obj.extra_repr() and returns: str, self, str, self