class_docstr: Layerwise adaptive rate scaling (LARS) optimizer.
  
  See https://arxiv.org/abs/1708.03888
class_docstr_tok: ["Layerwise","adaptive","rate","scaling","(","LARS",")","optimizer",".","See","https",":","\/\/arxiv.org\/abs\/1708.03888"]
code: def __repr__(self):
      return (
          f"{class_name(self)}(momentum={self.momentum}, weight_decay={self.weight_decay}, "
          f"tc={self.tc}, eps={self.eps})"
      )
  
file_path: objax/objax/optimizer/lars.py
imports: from typing import List
  import jax.numpy
  from objax.module import Module, ModuleList
  from objax.typing import JaxArray
  from objax.util import class_name
  from objax.variable import TrainRef, StateVar, TrainVar, VarCollection
label_desc: Use image node_id 3 for calling the LARS obj's underlying member method code with example usage: obj.__repr__() and returns: class_name, str, self, str, self, str, self, str, self, str