code: def hybrid_forward(self, F, h, c):
      h_cat = h.reshape((0, -1))
      f = self.U_f(h_cat).sigmoid().reshape_like(h)
      c = (f * c).sum(axis=1)
      iou = self.U_iou(h_cat)
      return iou, c
  
imports: import itertools
  import time
  import dgl
  import mxnet
  import networkx
  import numpy
  from mxnet import gluon
label_desc: Use image node_id 2 for calling the _TreeLSTMCellReduceFunc obj's underlying member method code with example usage: obj.hybrid_forward(F, h, c) and returns: iou,  c