class_docstr: Abstract base class from which parameter tensor initializers inherit.
  
  Subclasses should implement the ``fill`` method which takes as input a Tensor
  and fills the values based on the initialization scheme.
docstr: Initialize the provided tensor with values.
  
  Args:
      param (Tensor): Input Tensor.
docstr_tok: ["Initialize","the","provided","tensor","with","values",".","Args",":","param","(","Tensor",")",":","Input","Tensor","."]
code: def fill(self, param):
      """
      Initialize the provided tensor with values.
  
      Args:
          param (Tensor): Input Tensor.
      """
      raise NotImplementedError()
  
imports: import numpy
  from neon import NervanaObject
  from neon.backends.backend import Tensor
label_desc: Use image node_id 1 for calling the Initializer obj's underlying member method code with example usage: obj.fill(param) without return types