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 feat_mult(self):
      return adaptive_pool_feat_mult(self.pool_type)
  
imports: from typing import Optional, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from .format import get_spatial_dim, get_channel_dim
label_desc: Use image node_id 4 for calling the SelectAdaptivePool2d obj's underlying member method code with example usage: obj.feat_mult() and returns: adaptive_pool_feat_mult