code: def __init__(
      self,
      d_input,
      d_output,
      stride=1,
      transposed=True,
      weight_norm=True,
  ):
      super().__init__()
  
      self.linear = LinearActivation(
          d_input,
          d_output,
          transposed=transposed,
          weight_norm=weight_norm,
      )
  
      self.pool = (nn.AvgPool2d(kernel_size=stride, stride=stride),)
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange, reduce, repeat
  from torch import nn
  from espnet2.asr.state_spaces.base import SequenceModule
  from espnet2.asr.state_spaces.components import LinearActivation
label_desc: Use image node_id 1 to create a new DownPool2d object from inherited base classes: SequenceModule with example: obj = DownPool2d(d_input, d_output, stride, transposed, weight_norm)