code: def __init__(
      self,
      model: nn.Module,
      loss_fn: Callable,
      optimizer: Optimizer,
      lr_scheduler: Optional[
          torch.optim.lr_scheduler._LRScheduler
      ] = None,
  ):
      super().__init__()
      self.model = model
      self.loss_fn = loss_fn
      self.optimizer = optimizer
      self.lr_scheduler = lr_scheduler
  
file_path: audio/examples/self_supervised_learning/lightning_modules.py
imports: from collections import namedtuple
  from typing import Callable, Optional
  import lightning.pytorch
  import torch
  import torch.nn
  from torch.optim.optimizer import Optimizer
label_desc: Use image node_id 1 to create a new SSLPretrainModule object from inherited base classes: pl with example: obj = SSLPretrainModule(model, loss_fn, optimizer, lr_scheduler)