code: def __init__(self, in_channels, reduction=4):
      super(SEModule, self).__init__()
      self.avg_pool = nn.AdaptiveAvgPool2D(1)
      self.conv1 = nn.Conv2D(
          in_channels=in_channels,
          out_channels=in_channels // reduction,
          kernel_size=1,
          stride=1,
          padding=0,
      )
      self.conv2 = nn.Conv2D(
          in_channels=in_channels // reduction,
          out_channels=in_channels,
          kernel_size=1,
          stride=1,
          padding=0,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle import ParamAttr
label_desc: Use image node_id 1 to create a new SEModule object from inherited base classes: nn with example: obj = SEModule(in_channels, reduction)