code: def __init__(self, channels):
      super(SALayerSeg, self).__init__()
      self.q_conv = nn.Conv1d(channels, channels // 4, 1, bias=False)
      self.k_conv = nn.Conv1d(channels, channels // 4, 1, bias=False)
      self.q_conv.weight = self.k_conv.weight
      self.v_conv = nn.Conv1d(channels, channels, 1)
      self.trans_conv = nn.Conv1d(channels, channels, 1)
      self.after_norm = nn.BatchNorm1d(channels)
      self.act = nn.ReLU()
      self.softmax = nn.Softmax(dim=-1)
  
imports: import torch
  from helper import TransitionDown
  from torch import nn
label_desc: Use image node_id 1 to create a new SALayerSeg object from inherited base classes: nn with example: obj = SALayerSeg(channels)