code: def _cfg(url="", **kwargs):
      return {
          "url": url,
          "num_classes": 1000,
          "input_size": (3, 224, 224),
          "pool_size": None,
          "crop_pct": 0.95,
          "interpolation": "bicubic",
          "mean": IMAGENET_DEFAULT_MEAN,
          "std": IMAGENET_DEFAULT_STD,
          "classifier": "head",
          **kwargs,
      }
  
imports: from torch import nn
  import torch
  from functools import partial
  from towhee.models.utils.weight_init import trunc_normal_
  from towhee.models.poolformer.groupnorm import GroupNorm
  from towhee.models.poolformer.layernormchannel import LayerNormChannel
  from towhee.models.poolformer.pooling import Pooling
  from towhee.models.metaformer.basicblocks import basic_blocks
  from towhee.models.poolformer.patchembed import PatchEmbed
  from towhee.models.metaformer.addpositionembed import AddPositionEmb
  from towhee.models.metaformer.attention import Attention
  from towhee.models.metaformer.spatialfc import SpatialFc
label_desc: Use image node_id 1 for calling a global function with example usage: _cfg(url) and returns: dict