class_docstr: L1 Weight Decay Regularization, which encourages the weights to be sparse.
  Args:
      factor(float): regularization coeff. Default:0.0.
class_docstr_tok: ["L1","Weight","Decay","Regularization",",","which","encourages","the","weights","to","be","sparse",".","Args",":","factor","(","float",")",":","regularization","coeff",".","Default:0.0","."]
code: def __call__(self):
      reg = regularizer.L1Decay(self.factor)
      return reg
  
imports: import sys
  import math
  from paddle.optimizer.lr import LinearWarmup
  from paddle.optimizer.lr import PiecewiseDecay
  from paddle.optimizer.lr import CosineAnnealingDecay
  from paddle.optimizer.lr import ExponentialDecay
  import paddle
  import paddle.regularizer
  from copy import deepcopy
label_desc: Use image node_id 2 for calling the L1Decay obj's underlying member method code with example usage: obj.__call__() and returns: reg