code: def hybrid_forward(self, F, x, **kwargs):
      weight = nd.array(self.weight, ctx=x.context)
      output = F.Convolution(
          x,
          weight,
          kernel=self.weight.shape[-2:],
          pad=(1, 1),
          num_filter=self.channel,
          num_group=x.shape[1],
          no_bias=True,
      )
      return output
  
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 Blur obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: output