code: def resnet101_v1b_kinetics400(cfg):
      model = ActionRecResNetV1b(
          depth=101,
          num_classes=cfg.CONFIG.DATA.NUM_CLASSES,
          pretrained_base=cfg.CONFIG.MODEL.PRETRAINED_BASE,
          feat_ext=cfg.CONFIG.INFERENCE.FEAT,
          partial_bn=cfg.CONFIG.MODEL.PARTIAL_BN,
          num_segment=cfg.CONFIG.DATA.NUM_SEGMENT,
          num_crop=cfg.CONFIG.DATA.NUM_CROP,
          dropout_ratio=0.5,
          init_std=0.01,
      )
  
      if cfg.CONFIG.MODEL.PRETRAINED:
          from ..model_store import get_model_file
  
          model.load_state_dict(
              torch.load(
                  get_model_file(
                      "resnet101_v1b_kinetics400",
                      tag=cfg.CONFIG.MODEL.PRETRAINED,
                  )
              )
          )
      return model
  
file_path: gluon-cv/gluoncv/torch/model_zoo/action_recognition/actionrec_resnetv1b.py
imports: import torch
  import torch.nn
  import torchvision
label_desc: Use image node_id 4 for calling a global function with example usage: resnet101_v1b_kinetics400(cfg) and returns: model