code: def configure_optimizers(self):
      optim = torch.optim.AdamW(self.parameters(), lr=1.5e-4)
      return optim
  
file_path: lightly/examples/pytorch_lightning_distributed/simmim.py
imports: import pytorch_lightning
  import torch
  import torchvision
  from torch import nn
  from lightly.models import utils
  from lightly.models.modules import masked_autoencoder
  from lightly.transforms.mae_transform import MAETransform
label_desc: Use image node_id 5 for calling the SimMIM obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optim