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).
code: def set_weights(self, weights):
      if len(weights) != len(self.variables):
          raise ValueError(
              f"set_weights() expects a list of {len(self.variables)} arrays, "
              f"received {len(weights)}."
          )
      tf.keras.backend.batch_set_value(zip(self.variables, weights))
  
imports: import abc
  from typing import Any, Dict
  import tensorflow
  from tensorflow_compression.python.ops import math_ops
label_desc: Use image node_id 4 for calling the Parameter obj's underlying member method code with example usage: obj.set_weights(weights) without return types