code: def _create_optimizer(
      optimizer: Union[str, Callable]
  ) -> Type[Optimizer]:
      """Instantiate Optimizer."""
      if callable(optimizer):
          return optimizer
      if "." not in optimizer:
          return getattr(torch.optim, optimizer)
      py_path, cls_name = optimizer.rsplit(".", 1)
      module = importlib.import_module(py_path)
      return getattr(module, cls_name)
  
imports: import importlib
  import warnings
  from abc import ABCMeta, abstractmethod
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import numpy
  import pytorch_lightning
  import torch
  import torch.nn
  import torchmetrics
  from omegaconf import DictConfig, OmegaConf
  from pandas import DataFrame
  from torch import Tensor
  from torch.optim import Optimizer
  from pytorch_tabular.models.common.heads import blocks
  from pytorch_tabular.models.common.layers import PreEncoded1dLayer
  from pytorch_tabular.utils import get_logger, reset_all_weights
label_desc: Use image node_id 2 for calling a global function with example usage: _create_optimizer(optimizer) and returns: getattr, optimizer, getattr