code: def __init__(
      self, input_dim, output_dim, strategy="ddp", fail_epoch=-1
  ) -> None:
      super().__init__()
      self.linear = nn.Linear(input_dim, output_dim)
      self.loss = []
      self.strategy = strategy
      self.restored = train.get_checkpoint() is not None
      self.fail_epoch = fail_epoch
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader
  from torchmetrics import Accuracy
  from ray import train
  from ray.train.lightning._lightning_utils import import_lightning
label_desc: Use image node_id 1 to create a new LinearModule object from inherited base classes: pl with example: obj = LinearModule(input_dim, output_dim, strategy, fail_epoch)