class_docstr: Contrived lightning module that uses multiple optimizers. In real-world scenarios
  multiple optimizers might be used for Generative Adversarial Networks (GANs).
class_docstr_tok: ["Contrived","lightning","module","that","uses","multiple","optimizers",".","In","real-world","scenarios","multiple","optimizers","might","be","used","for","Generative","Adversarial","Networks","(","GANs",")","."]
code: def __init__(self, **kwargs):
      super().__init__()
      self.automatic_optimization = False
  
imports: import tempfile
  import pytorch_lightning
  import torch
  import torch.nn.functional
  import torch.utils.tensorboard
  from packaging.version import Version
  from torch import nn
label_desc: Use image node_id 1 to create a new IrisClassificationMultiOptimizer object from inherited base classes: IrisClassificationBase with example: obj = IrisClassificationMultiOptimizer()