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 configure_optimizers(self):
      opt1 = torch.optim.Adam(self.parameters(), 0.01)
      opt2 = torch.optim.Adam(self.parameters(), 0.01)
      return [opt1, opt2]
  
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 3 for calling the IrisClassificationMultiOptimizer obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list