class_docstr: ResNeXt backbone for DetectoRS.
  
  Args:
      groups (int): The number of groups in ResNeXt.
      base_width (int): The base width of ResNeXt.
class_docstr_tok: ["ResNeXt","backbone","for","DetectoRS",".","Args",":","groups","(","int",")",":","The","number","of","groups","in","ResNeXt",".","base_width","(","int",")",":","The","base","width","of","ResNeXt","."]
code: def make_res_layer(self, **kwargs):
      return super().make_res_layer(
          groups=self.groups,
          base_width=self.base_width,
          base_channels=self.base_channels,
          **kwargs,
      )
  
file_path: mmdetection/mmdet/models/backbones/detectors_resnext.py
imports: import math
  from mmcv.cnn import build_conv_layer, build_norm_layer
  from mmdet.registry import MODELS
  from .detectors_resnet import Bottleneck
  from .detectors_resnet import DetectoRS_ResNet
label_desc: Use image node_id 2 for calling the DetectoRS_ResNeXt obj's underlying member method code with example usage: obj.make_res_layer() and returns: super