code: def __init__(self, d_input, stride=1, expand=1, transposed=True):
      super().__init__()
  
      self.d_input = d_input
      self.stride = stride
      self.expand = expand
      self.transposed = transposed
  
      self.linear = LinearActivation(
          d_input * stride,
          d_input * expand,
          transposed=transposed,
      )
  
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 DownLinearPool object from inherited base classes: SequenceModule with example: obj = DownLinearPool(d_input, stride, expand, transposed)