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: Computes and returns the parameter value as a `tf.Tensor`.
docstr_tok: ["Computes","and","returns","the","parameter","value","as","a","`","tf.Tensor","`","."]
code: def __call__(self, compute_dtype=None):
      """Computes and returns the parameter value as a `tf.Tensor`."""
  
imports: import abc
  from typing import Any, Dict
  import tensorflow
  from tensorflow_compression.python.ops import math_ops
label_desc: Use image node_id 1 for calling the Parameter obj's underlying member method code with example usage: obj.__call__(compute_dtype) without return types