class_docstr: Support TIMM image backbones.
  Refer to https://github.com/rwightman/pytorch-image-models
code: def input_keys(self):
      return [self.image_key, self.image_valid_num_key]
  
imports: import json
  import logging
  import os
  from typing import Dict, List, Optional
  import torch
  from timm import create_model
  from timm.layers.linear import Linear
  from torch import nn
  from ..constants import AUTOMM, COLUMN, COLUMN_FEATURES, FEATURES, IMAGE, IMAGE_VALID_NUM, LABEL, LOGITS, MASKS
  from .utils import assign_layer_ids, get_column_features, get_model_head
label_desc: Use image node_id 5 for calling the TimmAutoModelForImagePrediction obj's underlying member method code with example usage: obj.input_keys() and returns: list