code: def hybrid_forward(self, F, x):
      out = self.pool(x)
      out = self.conv1(out)
      out = self.act1(out)
      out = self.conv2(out)
      out = self.act2(out)
      return F.broadcast_mul(x, out)
  
imports: from __future__ import division
  import numpy
  from mxnet.gluon import nn
  from mxnet.gluon.nn import BatchNorm
  from mxnet.gluon.block import HybridBlock
  from mxnet.context import cpu
  from ..nn import ReLU6, HardSigmoid, HardSwish
label_desc: Use image node_id 2 for calling the _SE obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: F