code: def hybrid_forward(self, F, iou, b_iou, c):
      iou = F.broadcast_add(iou, b_iou)
      i, o, u = iou.split(num_outputs=3, axis=1)
      i, o, u = i.sigmoid(), o.sigmoid(), u.tanh()
      c = i * u + c
      h = o * c.tanh()
  
      return h, c
  
imports: import itertools
  import time
  import dgl
  import mxnet
  import networkx
  import numpy
  from mxnet import gluon
label_desc: Use image node_id 1 for calling the _TreeLSTMCellNodeFunc obj's underlying member method code with example usage: obj.hybrid_forward(F, iou, b_iou, c) and returns: h,  c