code: def forward(self, x):
      identity = x
      x = self.avg_pool(x)
      x = self.conv(x)
      x = self.sigmoid(x)
      return paddle.multiply(x=identity, y=x)
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import KaimingNormal, Constant
  from paddle.nn import Conv2D, BatchNorm2D, ReLU, AdaptiveAvgPool2D, MaxPool2D
  from paddle.regularizer import L2Decay
  from paddle import ParamAttr
label_desc: Use image node_id 2 for calling the ESEModule obj's underlying member method code with example usage: obj.forward(x) and returns: paddle