code: def _get_optional_parameters(self):
      return {
          "nhid",
          "levels",
          "kernel_size",
      } | super()._get_optional_parameters()
  
imports: import warnings
  import torch
  import torch.nn
  from torch.nn.utils import weight_norm
  from zoo.orca.automl.model.base_pytorch_model import PytorchBaseModel, PYTORCH_REGRESSION_LOSS_MAP
label_desc: Use image node_id 3 for calling the TCNPytorch obj's underlying member method code with example usage: obj._get_optional_parameters() and returns: unknown