class_docstr: Gamma rule for relevance propagation, gives more importance to
  positive relevance.
  
  Use for lower layers.
  
  Args:
      gamma (float): The gamma parameter determines by how much
      the positive relevance is increased.
class_docstr_tok: ["Gamma","rule","for","relevance","propagation",",","gives","more","importance","to","positive","relevance",".","Use","for","lower","layers",".","Args",":","gamma","(","float",")",":","The","gamma","parameter","determines","by","how","much","the","positive","relevance","is","increased","."]
code: def __init__(self, gamma=0.25, set_bias_to_zero=False) -> None:
      self.gamma = gamma
      self.set_bias_to_zero = set_bias_to_zero
  
imports: from abc import ABC, abstractmethod
  import torch
  from ..._utils.common import _format_tensor_into_tuples
label_desc: Use image node_id 1 to create a new GammaRule object from inherited base classes: PropagationRule with example: obj = GammaRule(gamma, set_bias_to_zero)