code: def hybrid_forward(self, F, x, style, **kwargs):
      style = self.style(style).expand_dims(2).expand_dims(3)
      gamma, beta = style.split(2, 1)
      out = self.norm(x)
      out = gamma * out + beta
  
      return out
  
imports: import numpy
  from math import sqrt
  import mxnet
  import mxnet.ndarray
  import mxnet.gluon.nn
  from numpy import prod
label_desc: Use image node_id 2 for calling the AdaptiveInstanceNorm obj's underlying member method code with example usage: obj.hybrid_forward(F, x, style) and returns: out