code: def filter_kwargs(kwargs, names):
      if not kwargs or not names:
          return
      for n in names:
          kwargs.pop(n, None)
  
imports: import logging
  import os
  import math
  from collections import OrderedDict
  from copy import deepcopy
  from typing import Any, Callable, Optional, Tuple
  import torch
  import torch.nn
  from torch.hub import load_state_dict_from_url
  from timm.models.features import FeatureListNet, FeatureDictNet, FeatureHookNet
  from timm.models.fx_features import FeatureGraphNet
  from timm.models.hub import has_hf_hub, download_cached_file, load_state_dict_from_hf
  from timm.models.layers import Conv2dSame, Linear
  from timm.models.vision_transformer import VisionTransformer, resize_pos_embed
  import tutel.impls.moe_layer
label_desc: Use image node_id 15 for calling a global function with example usage: filter_kwargs(kwargs, names) without return types