code: def forward(self, features_dict, targets):
      for k in self.keys:
          features_dict = features_dict[k]
      return {"preds": features_dict, "target": targets}
  
imports: import argparse
  from functools import partial
  import json
  import logging
  import os
  import sys
  from typing import List, Optional
  import torch
  from torch.nn.functional import one_hot, softmax
  import dinov2.distributed
  from dinov2.data import SamplerType, make_data_loader, make_dataset
  from dinov2.data.transforms import make_classification_eval_transform
  from dinov2.eval.metrics import AccuracyAveraging, build_topk_accuracy_metric
  from dinov2.eval.setup import get_args_parser
  from dinov2.eval.setup import setup_and_build_model
  from dinov2.eval.utils import ModelWithNormalize, evaluate, extract_features
label_desc: Use image node_id 2 for calling the DictKeysModule obj's underlying member method code with example usage: obj.forward(features_dict, targets) and returns: dict