code: def ircsn_v2_resnet152_f32s2_kinetics400(cfg):
      model = ResNet_IRCSNv2(
          Bottleneck_IRCSNv2,
          num_classes=cfg.CONFIG.DATA.NUM_CLASSES,
          block_nums=[3, 8, 36, 3],
          feat_ext=cfg.CONFIG.INFERENCE.FEAT,
          use_affine=cfg.CONFIG.MODEL.USE_AFFINE,
      )
  
      if cfg.CONFIG.MODEL.PRETRAINED:
          from ..model_store import get_model_file
  
          model.load_state_dict(
              torch.load(
                  get_model_file(
                      "ircsn_v2_resnet152_f32s2_kinetics400",
                      tag=cfg.CONFIG.MODEL.PRETRAINED,
                  )
              )
          )
      return model
  
file_path: gluon-cv/gluoncv/torch/model_zoo/action_recognition/ircsnv2.py
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 for calling a global function with example usage: ircsn_v2_resnet152_f32s2_kinetics400(cfg) and returns: model