code: def slowfast_8x8_resnet101_kinetics400(cfg):
      model = SlowFast(
          num_classes=cfg.CONFIG.DATA.NUM_CLASSES,
          layers=[3, 4, 23, 3],
          pretrained=cfg.CONFIG.MODEL.PRETRAINED,
          pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
          feat_ext=cfg.CONFIG.INFERENCE.FEAT,
          num_segment=cfg.CONFIG.DATA.NUM_SEGMENT,
          num_crop=cfg.CONFIG.DATA.NUM_CROP,
          alpha=4,
          beta_inv=8,
          fusion_conv_channel_ratio=2,
          fusion_kernel_size=5,
          width_per_group=64,
          num_groups=1,
          slow_temporal_stride=8,
          fast_temporal_stride=2,
          slow_frames=8,
          fast_frames=32,
          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(
                      "slowfast_8x8_resnet101_kinetics400",
                      tag=cfg.CONFIG.MODEL.PRETRAINED,
                  )
              )
          )
      return model
  
imports: import torch
  import torch.nn
  from torch.nn import BatchNorm3d
label_desc: Use image node_id 4 for calling a global function with example usage: slowfast_8x8_resnet101_kinetics400(cfg) and returns: model