class_docstr: Like PseudoFP16Initializer above, except the primary blob is taken to
  be the 32-bit precision parameter, and the 16-bit version of the blob
  is stored in blob_copy instead.
class_docstr_tok: ["Like","PseudoFP16Initializer","above",",","except","the","primary","blob","is","taken","to","be","the","32-bit","precision","parameter",",","and","the","16-bit","version","of","the","blob","is","stored","in","blob_copy","instead","."]
code: def update(self, operator_name, kwargs):
      if self.operator_name is not None:
          raise Exception("Operator name overwrites are not allowed")
      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 for calling the ReversePseudoFP16Initializer obj's underlying member method code with example usage: obj.update(operator_name, kwargs) without return types