class_docstr: Reparameterized `Layer` variable.
  
  This object represents a parameter of a `tf.keras.layer.Layer` object which
  isn't directly stored in a `tf.Variable`, but can be represented as a function
  (of any number of `tf.Variable` attributes).
docstr: Returns the configuration of the `Parameter`.
docstr_tok: ["Returns","the","configuration","of","the","`","Parameter","`","."]
code: def get_config(self):
      """Returns the configuration of the `Parameter`."""
      return dict(name=self.name)
  
imports: import abc
  from typing import Any, Dict
  import tensorflow
  from tensorflow_compression.python.ops import math_ops
label_desc: Use image node_id 2 for calling the Parameter obj's underlying member method code with example usage: obj.get_config() and returns: dict