code: def i3d_slow_resnet101_f32s2_kinetics400(cfg):
      model = ResNet_SlowFast(
          num_classes=cfg.CONFIG.DATA.NUM_CLASSES,
          depth=101,
          pretrained=cfg.CONFIG.MODEL.PRETRAINED,
          pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
          feat_ext=cfg.CONFIG.INFERENCE.FEAT,
          bn_eval=cfg.CONFIG.MODEL.BN_EVAL,
          partial_bn=cfg.CONFIG.MODEL.PARTIAL_BN,
          bn_frozen=cfg.CONFIG.MODEL.BN_FROZEN,
      )
  
      if cfg.CONFIG.MODEL.PRETRAINED:
          from ..model_store import get_model_file
  
          model.load_state_dict(
              torch.load(
                  get_model_file(
                      "i3d_slow_resnet101_f32s2_kinetics400",
                      tag=cfg.CONFIG.MODEL.PRETRAINED,
                  )
              )
          )
      return model
  
imports: import torch
  import torch.nn
  import torch.utils.checkpoint
  from .non_local import build_nonlocal_block
label_desc: Use image node_id 7 for calling a global function with example usage: i3d_slow_resnet101_f32s2_kinetics400(cfg) and returns: model