class_docstr: This class abstracts out parameter creation. One can come up with a new
  Initializer in order to implement more complex parameter initialization logic
class_docstr_tok: ["This","class","abstracts","out","parameter","creation",".","One","can","come","up","with","a","new","Initializer","in","order","to","implement","more","complex","parameter","initialization","logic"]
code: def __init__(self, operator_name=None, **kwargs):
      self.operator_name = operator_name
      self.operator_kwargs = kwargs
  
file_path: pytorch/caffe2/python/modeling/initializers.py
imports: from caffe2.python.core import DataType, BlobReference, ScopedBlobReference
  from caffe2.python.modeling.parameter_info import ParameterInfo
label_desc: Use image node_id 1 to create a new Initializer object  with example: obj = Initializer(operator_name)