code: def glorot(t):
      """Initialize the matrix parameter follow a Gaussian distribution with
      mean = 0 and std = sqrt(2.0 / (nb_row + nb_col))
  
      Args:
          t (Tensor): the parater tensor
      """
      scale = math.sqrt(2.0 / (t.shape[0] + t.shape[1]))
      t.gaussian(0, 1)
      t *= scale
  
file_path: singa/python/singa/initializer.py
imports: from __future__ import division
  import math
  import numpy
  from deprecated import deprecated
label_desc: Use image node_id 11 for calling a global function with example usage: glorot(t) without return types