code: def se_r3d_18_rgb(
      attention, pretrained=False, progress=True, **kwargs
  ):
      return _se_video_resnet_rgb(
          "r3d_18",
          attention,
          pretrained,
          progress,
          block=BasicBlock,
          conv_makers=[Conv3DSimple] * 4,
          layers=[2, 2, 2, 2],
          stem=BasicStem,
          **kwargs,
      )
  
file_path: pykale/kale/embed/video_se_res3d.py
imports: from torch.hub import load_state_dict_from_url
  from kale.embed.video_res3d import BasicBlock, BasicFLowStem, BasicStem, Conv2Plus1D, Conv3DNoTemporal, Conv3DSimple, R2Plus1dFlowStem, R2Plus1dStem, VideoResNet
  from kale.embed.video_selayer import get_selayer, SELayerC, SELayerT
label_desc: Use image node_id 3 for calling a global function with example usage: se_r3d_18_rgb(attention, pretrained, progress) and returns: _se_video_resnet_rgb