class_docstr: MLP for numerical input.
docstr: All layers have the same id 0 since there is no pre-trained models used here.
  
  Returns
  -------
  A dictionary mapping the layer names (keys) to their ids (values).
docstr_tok: ["All","layers","have","the","same","id","0","since","there","is","no","pre-trained","models","used","here",".","Returns","--","--","--","-","A","dictionary","mapping","the","layer","names","(","keys",")","to","their","ids","(","values",")","."]
code: def get_layer_ids(
      self,
  ):
      """
      All layers have the same id 0 since there is no pre-trained models used here.
  
      Returns
      -------
      A dictionary mapping the layer names (keys) to their ids (values).
      """
      name_to_id = {}
      for n, _ in self.named_parameters():
          name_to_id[n] = 0
      return name_to_id
  
file_path: autogluon/multimodal/src/autogluon/multimodal/models/numerical_mlp.py
imports: from typing import List, Optional
  from torch import nn
  from ..constants import FEATURES, LABEL, LOGITS, NUMERICAL
  from .ft_transformer import NumEmbeddings
  from .mlp import MLP
  from .utils import init_weights
label_desc: Use image node_id 6 for calling the NumericalMLP obj's underlying member method code with example usage: obj.get_layer_ids() and returns: name_to_id