code: def __init__(self, pool_dim: int = 1) -> None:
      super(AutoPool, self).__init__()
      self.pool_dim: int = pool_dim
      self.softmax: nn.modules.Module = nn.Softmax(dim=pool_dim)
      self.register_parameter("alpha", nn.Parameter(torch.ones(1)))
  
imports: import math
  from typing import List, Optional, Tuple
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new AutoPool object from inherited base classes: nn with example: obj = AutoPool(pool_dim)