class_docstr: Adam optimizer. 
class_docstr_tok: ["Adam","optimizer","."]
code: def __init__(
      self,
      beta1=0.9,
      beta2=0.999,
      epsilon=1e-08,
      lazy_mode=False,
      weight_decay=None,
      grad_clip_cfg=None,
      custom_cfg=None,
  ):
      super().__init__(weight_decay, grad_clip_cfg, custom_cfg)
      self.args.update(
          {
              "beta1": beta1,
              "beta2": beta2,
              "epsilon": epsilon,
              "lazy_mode": lazy_mode,
          }
      )
  
imports: import paddle
  from paddleseg.cvlibs import manager
  from paddleseg.utils import logger
  import paddleseg.optimizers.custom_optimizers
label_desc: Use image node_id 1 to create a new Adam object from inherited base classes: BaseOptimizer with example: obj = Adam(beta1, beta2, epsilon, lazy_mode, weight_decay, grad_clip_cfg, custom_cfg)