code: def __init__(self, in_channels, se_channels, out_channels):
      super(SEBlock, self).__init__()
  
      self.conv1 = Conv1d(
          in_channels=in_channels,
          out_channels=se_channels,
          kernel_size=1,
      )
      self.relu = paddle.nn.ReLU()
      self.conv2 = Conv1d(
          in_channels=se_channels,
          out_channels=out_channels,
          kernel_size=1,
      )
      self.sigmoid = paddle.nn.Sigmoid()
  
imports: import math
  import os
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 1 to create a new SEBlock object from inherited base classes: nn with example: obj = SEBlock(in_channels, se_channels, out_channels)