code: def get_configs(model_name):
      configs = {
          "in_chans": 3,
          "num_classes": 1000,
          "depths": (2, 3, 18, 2),
          "base_dim": 128,
          "drop_path_rate": 0.0,
          "layer_scale_init_value": 1e-6,
          "head_init_scale": 1.0,
          "gnconv": [
              partial(GatedConv, order=2, s=1.0 / 3.0),
              partial(GatedConv, order=3, s=1.0 / 3.0),
              partial(GatedConv, order=4, s=1.0 / 3.0),
              partial(GatedConv, order=5, s=1.0 / 3.0),
          ],
          "block": Block,
          "uniform_init": False,
      }
      gf_gnconv = [
          partial(GatedConv, order=2, s=1.0 / 3.0),
          partial(GatedConv, order=3, s=1.0 / 3.0),
          partial(
              GatedConv,
              order=4,
              s=1.0 / 3.0,
              h=14,
              w=8,
              gflayer=GlobalLocalFilter,
          ),
          partial(
              GatedConv,
              order=5,
              s=1.0 / 3.0,
              h=7,
              w=4,
              gflayer=GlobalLocalFilter,
          ),
      ]
  
      if model_name is None:
          pass
      elif model_name == "hornet_tiny_7x7":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/1ca970586c6043709a3f/?dl=1",
              base_dim=64,
          )
      elif model_name == "hornet_tiny_gf":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/511faad0bde94dfcaa54/?dl=1",
              base_dim=64,
              gnconv=gf_gnconv,
          )
      elif model_name == "hornet_small_7x7":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/46422799db2941f7b684/?dl=1",
              base_dim=96,
          )
      elif model_name == "hornet_small_gf":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/8405c984bf084d2ba85a/?dl=1",
              base_dim=96,
              gnconv=gf_gnconv,
          )
      elif model_name == "hornet_base_7x7":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/5c86cb3d655d4c17a959/?dl=1"
          )
      elif model_name == "hornet_base_gf":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/6c84935e63b547f383fb/?dl=1",
              gnconv=gf_gnconv,
          )
      elif model_name == "hornet_base_gf_img384":
          configs.update(
              gnconv=[
                  partial(GatedConv, order=2, s=1.0 / 3.0),
                  partial(GatedConv, order=3, s=1.0 / 3.0),
                  partial(
                      GatedConv,
                      order=4,
                      s=1.0 / 3.0,
                      h=24,
                      w=13,
                      gflayer=GlobalLocalFilter,
                  ),
                  partial(
                      GatedConv,
                      order=5,
                      s=1.0 / 3.0,
                      h=12,
                      w=7,
                      gflayer=GlobalLocalFilter,
                  ),
              ]
          )
      elif model_name == "hornet_large_7x7_22k":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/4de41e26cb254c28a61a/?dl=1",
              num_classes=21841,
              base_dim=192,
          )
      elif model_name == "hornet_large_gf_22k":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/8679b6acf63c41e285d9/?dl=1",
              num_classes=21841,
              base_dim=192,
              gnconv=gf_gnconv,
          )
      elif model_name == "hornet_large_gf_img384_22k":
          configs.update(
              url="https://cloud.tsinghua.edu.cn/f/f36957d46eef47da9c25/?dl=1",
              num_classes=21841,
              base_dim=192,
              gnconv=[
                  partial(GatedConv, order=2, s=1.0 / 3.0),
                  partial(GatedConv, order=3, s=1.0 / 3.0),
                  partial(
                      GatedConv,
                      order=4,
                      s=1.0 / 3.0,
                      h=24,
                      w=13,
                      gflayer=GlobalLocalFilter,
                  ),
                  partial(
                      GatedConv,
                      order=5,
                      s=1.0 / 3.0,
                      h=12,
                      w=7,
                      gflayer=GlobalLocalFilter,
                  ),
              ],
          )
      else:
          raise ValueError(f"Invalid model name: {model_name}.")
      return configs
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_configs(model_name) and returns: configs