class_docstr: A generic TS Transformer LightningMoudle for light-weight HPO.
code: def _get_config_by_keys(keys, config):
      return {k: config[k] for k in keys}
  
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 2 for calling the GenericTSTransformerLightningModule obj's underlying member method code with example usage: obj._get_config_by_keys(keys, config) and returns: unknown