code: def forward(self, X, H):
      Vx = self.Wx0(X) + self.Bh0
      Vrz = torch.mm(H, self.Wrz0)
      vx_x, vx_r, vx_z = Vx.chunk(3, 1)
      vh_r, vh_z = Vrz.chunk(2, 1)
      r = torch.sigmoid(vx_r + vh_r)
      z = torch.sigmoid(vx_z + vh_z)
      h = torch.tanh(torch.mm(r * H, self.Wh0) + vx_x)
      h = (1.0 - z) * H + z * h
      return h
  
imports: from collections import Counter
  import numpy
  import torch
  from torch import nn
  from torch.autograd import Variable
  from torch.optim import Optimizer
  from cornac.utils.common import get_rng
label_desc: Use image node_id 3 for calling the GRUEmbedding obj's underlying member method code with example usage: obj.forward(X, H) and returns: h