code: def hybrid_forward(self, F, image, noise, **kwargs):
      new_weight = compute_weight(kwargs["weight"])
  
      return image + new_weight * noise
  
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 NoiseInjection obj's underlying member method code with example usage: obj.hybrid_forward(F, image, noise) and returns: unknown