code: def params_groups(self, m: nn.Module) -> List[Dict[str, Any]]:
      return []
  
imports: import torch.nn
  from abc import abstractmethod
  from abc import ABC
  from abc import ABCMeta
  from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Union
  from typing import Callable
  from typing import Optional
  from typing import NamedTuple
  from torch.optim import Optimizer
  from cftool.types import tensor_dict_type
  from torch.cuda.amp import autocast
  from ...schema import IDLModel
  from ...schema import ITrainer
  from ...schema import IDataLoader
  from ...schema import StepOutputs
  from ...schema import TrainerState
  from ...schema import PrecisionType
  from ...schema import TrainerConfig
  from ...schema import MetricsOutputs
  from ...constants import LOSS_KEY
  from ...data.utils import TensorBatcher
  from ...misc.toolkit import get_device
  from ...misc.toolkit import no_grad_context
  from ...misc.toolkit import toggle_optimizer
label_desc: Use image node_id 4 for calling the ModelWithCustomSteps obj's underlying member method code with example usage: obj.params_groups(m) and returns: list