class_docstr: Initializer base class: all initializers inherit from this class.
      
class_docstr_tok: ["Initializer","base","class",":","all","initializers","inherit","from","this","class","."]
docstr: Instantiates an initializer from a configuration dictionary.
  
  Parameters
  ----------
  config : A python dictionary.
      It will typically be the output of `get_config`.
  
  Returns
  -------
      An Initializer instance.
docstr_tok: ["Instantiates","an","initializer","from","a","configuration","dictionary",".","Parameters","--","--","--","--","--","config",":","A","python","dictionary",".","It","will","typically","be","the","output","of","`","get_config","`",".","Returns","--","--","--","-","An","Initializer","instance","."]
code: def from_config(cls, config):
      """Instantiates an initializer from a configuration dictionary.
  
      Parameters
      ----------
      config : A python dictionary.
          It will typically be the output of `get_config`.
  
      Returns
      -------
          An Initializer instance.
      """
      if "dtype" in config:
          config.pop("dtype")
      return cls(**config)
  
imports: import numpy
  import tensorflow
label_desc: Use image node_id 3 for calling the Initializer obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls