code: def _cfg(url="", **kwargs):
      return {
          "url": url,
          "num_classes": 1000,
          "input_size": (3, 224, 224),
          "pool_size": (7, 7),
          "crop_pct": 0.875,
          "interpolation": "bilinear",
          "mean": (0.0, 0.0, 0.0),
          "std": (1.0, 1.0, 1.0),
          "first_conv": "body.conv1.conv",
          "classifier": "head.fc",
          **kwargs,
      }
  
imports: from collections import OrderedDict
  from functools import partial
  import torch
  import torch.nn
  from timm.layers import SpaceToDepth, BlurPool2d, ClassifierHead, SEModule, ConvNormActAa, ConvNormAct, DropPath
  from ._builder import build_model_with_cfg
  from ._manipulate import checkpoint_seq
  from ._registry import register_model, generate_default_cfgs, register_model_deprecations
label_desc: Use image node_id 3 for calling a global function with example usage: _cfg(url) and returns: dict