code: def _init_numpy_weights(self, shape):
      sigma = np.sqrt(6.0 / (shape[0] + shape[1]))
      m = np.random.rand(*shape).astype("float32") * 2 * sigma - sigma
      return m
  
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 8 for calling the GRU4RecModel obj's underlying member method code with example usage: obj._init_numpy_weights(shape) and returns: m