code: def lecun_uniform(t):
      """LeCun uniform initializer.
  
      It draws samples from a uniform distribution within [-limit, limit]
      where `limit` is `sqrt(3 / fan_in)`
      where `fan_in` is the number of input units in the weight tensor.
  
      # Arguments
          t(Tensor):the tensor to be filled in.
  
      # References
          - [Efficient BackProp](http://yann.lecun.com/exdb/publis/pdf/lecun-98b.pdf)
      """
      _random_fill(t, scale=1.0, mode="fan_in", distribution="uniform")
  
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 3 for calling a global function with example usage: lecun_uniform(t) without return types