class_docstr: Optimizer that implements the Layer-wise Adaptive Moments (LAMB).
  
  See paper [Large Batch Optimization for Deep Learning: Training BERT
  in 76 minutes](https://arxiv.org/abs/1904.00962).
class_docstr_tok: ["Optimizer","that","implements","the","Layer-wise","Adaptive","Moments","(","LAMB",")",".","See","paper","[","Large","Batch","Optimization","for","Deep","Learning",":","Training","BERT","in","76","minutes","]","(","https",":","\/\/arxiv.org\/abs\/1904.00962",")","."]
code: def get_config(self):
      config = super().get_config()
      config.update(
          {
              "learning_rate": self._serialize_hyperparameter(
                  "learning_rate"
              ),
              "weight_decay": self._serialize_hyperparameter(
                  "weight_decay"
              ),
              "decay": self._serialize_hyperparameter("decay"),
              "beta_1": self._serialize_hyperparameter("beta_1"),
              "beta_2": self._serialize_hyperparameter("beta_2"),
              "epsilon": self.epsilon,
              "exclude_from_weight_decay": self.exclude_from_weight_decay,
              "exclude_from_layer_adaptation": self.exclude_from_layer_adaptation,
          }
      )
      return config
  
file_path: addons/tensorflow_addons/optimizers/lamb.py
imports: import warnings
  from typing import Optional, Union, Callable, List
  from typeguard import typechecked
  import tensorflow
  from tensorflow_addons.optimizers import KerasLegacyOptimizer
  from tensorflow_addons.utils.types import FloatTensorLike
  from tensorflow_addons.optimizers.utils import is_variable_matched_by_regexes
label_desc: Use image node_id 6 for calling the LAMB obj's underlying member method code with example usage: obj.get_config() and returns: config