code: def _cfg(url="", **kwargs):
      return {
          "url": url,
          "num_classes": 1000,
          "input_size": (3, 224, 224),
          "pool_size": None,
          "crop_pct": 0.9,
          "interpolation": "bicubic",
          "fixed_input_size": True,
          "mean": IMAGENET_DEFAULT_MEAN,
          "std": IMAGENET_DEFAULT_STD,
          "first_conv": "patch_embed.proj",
          "classifier": "head",
          **kwargs,
      }
  
imports: from functools import partial
  from typing import Sequence, Union
  import torch
  from torch import nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import resample_abs_pos_embed
  from timm.models.vision_transformer import VisionTransformer, trunc_normal_, checkpoint_filter_fn
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
  from ._registry import generate_default_cfgs, register_model, register_model_deprecations
label_desc: Use image node_id 2 for calling a global function with example usage: _cfg(url) and returns: dict