class_docstr: A generic TS Transformer LightningMoudle for light-weight HPO.
code: def configure_optimizers(self):
      return self.model.configure_optimizers()
  
imports: from bigdl.nano.pytorch.lightning import LightningModule
  from bigdl.nano.utils.common import invalidInputError
  from typing import List
  import pytorch_lightning
  from torchmetrics.metric import Metric
  from torch.optim.lr_scheduler import _LRScheduler
  import bigdl.nano.automl.hpo
  import warnings
  import torch
  import inspect
  from torch import nn, Tensor, fx
  from torch.utils.data import TensorDataset, DataLoader
  from bigdl.nano.automl.hpo.space import Space
label_desc: Use image node_id 10 for calling the GenericTSTransformerLightningModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: self