class_docstr: Defines how to apply a faster version of the EPR algorithm.
class_docstr_tok: ["Defines","how","to","apply","a","faster","version","of","the","EPR","algorithm","."]
code: def __init__(self, regularization_weight: float, alpha: float = 1e-2):
      super().__init__(regularization_weight)
      self.alpha = alpha
  
imports: import functools
  from typing import Callable, List, Tuple
  import tensorflow
  import tensorflow_compression
  from tensorflow_model_optimization.python.core.common.keras.compression import algorithm
label_desc: Use image node_id 1 to create a new FastEPR object from inherited base classes: EPRBase with example: obj = FastEPR(regularization_weight, alpha)