class_docstr: Nonnegative parameterization as needed for GDN parameters.
  
  The variable is subjected to an invertible transformation that slows down the
  learning rate for small values.
  
  Attributes:
    minimum: Float. The `minimum` parameter provided on initialization.
    offset: Float. The `offset` parameter provided on initialization.
    variable: `tf.Variable`. The reparameterized variable.
code: def minimum(self) -> float:
      return self._minimum
  
imports: import abc
  from typing import Any, Dict
  import tensorflow
  from tensorflow_compression.python.ops import math_ops
label_desc: Use image node_id 3 for calling the GDNParameter obj's underlying member method code with example usage: obj.minimum() and returns: self