code: def msra(t):
      """Initialize the matrix parameter follow a Guassian distribution with
      mean = 0, std = math.sqrt(2.0 / nb_row).
  
      Ref [He, Zhang, Ren and Sun 2015]: Specifically accounts for ReLU
      nonlinearities.
  
      Args:
          t (Tensor): the parater tensor
      """
      t.gaussian(0, math.sqrt(2.0 / t.shape[0]))
  
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 12 for calling a global function with example usage: msra(t) without return types