class_docstr: Selectable global pooling layer with dynamic input kernel size
      
class_docstr_tok: ["Selectable","global","pooling","layer","with","dynamic","input","kernel","size"]
code: def __repr__(self):
      return (
          self.__class__.__name__
          + " ("
          + "output_size="
          + str(self.output_size)
          + ", pool_type="
          + self.pool_type
          + ")"
      )
  
file_path: pywick/pywick/models/classification/dpn/adaptive_avgmax_pool.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 4 for calling the AdaptiveAvgMaxPool2d obj's underlying member method code with example usage: obj.__repr__() and returns: unknown