class_docstr: Initializer that generates tensors with a normal distribution.
class_docstr_tok: ["Initializer","that","generates","tensors","with","a","normal","distribution","."]
code: def __init__(self, mean, stdv, bigdl_type="float"):
      mean = mean + 0.0
      stdv = stdv + 0.0
      JavaValue.__init__(self, None, bigdl_type, mean, stdv)
  
imports: import sys
  from bigdl.dllib.utils.common import JavaValue
label_desc: Use image node_id 1 to create a new RandomNormal object from inherited base classes: InitializationMethod with example: obj = RandomNormal(mean, stdv, bigdl_type)