code: def forward(self, x):
      identity = x
      x = self.avg_pool(x)
      x = self.conv1(x)
      x = self.relu(x)
      x = self.conv2(x)
      x = self.hardsigmoid(x)
      x = paddle.multiply(x=identity, y=x)
      return x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle import ParamAttr
  from paddle.nn.initializer import Constant, KaimingNormal
  from paddle.nn import AdaptiveAvgPool2D, BatchNorm2D, Conv2D, Dropout, Hardsigmoid, Hardswish, Identity, Linear, ReLU
  from paddle.regularizer import L2Decay
label_desc: Use image node_id 2 for calling the SELayer obj's underlying member method code with example usage: obj.forward(x) and returns: x