class_docstr: Implementation of RTMDet.
  
  Args:
      backbone (:obj:`ConfigDict` or dict): The backbone module.
      neck (:obj:`ConfigDict` or dict): The neck module.
      bbox_head (:obj:`ConfigDict` or dict): The bbox head module.
      train_cfg (:obj:`ConfigDict` or dict, optional): The training config
          of ATSS. Defaults to None.
      test_cfg (:obj:`ConfigDict` or dict, optional): The testing config
          of ATSS. Defaults to None.
      data_preprocessor (:obj:`ConfigDict` or dict, optional): Config of
          :class:`DetDataPreprocessor` to process the input data.
          Defaults to None.
      init_cfg (:obj:`ConfigDict` or dict, optional): the config to control
          the initialization. Defaults to None.
      use_syncbn (bool): Whether to use SyncBatchNorm. Defaults to True.
code: def __init__(
      self,
      backbone: ConfigType,
      neck: ConfigType,
      bbox_head: ConfigType,
      train_cfg: OptConfigType = None,
      test_cfg: OptConfigType = None,
      data_preprocessor: OptConfigType = None,
      init_cfg: OptMultiConfig = None,
      use_syncbn: bool = True,
  ) -> None:
      super().__init__(
          backbone=backbone,
          neck=neck,
          bbox_head=bbox_head,
          train_cfg=train_cfg,
          test_cfg=test_cfg,
          data_preprocessor=data_preprocessor,
          init_cfg=init_cfg,
      )
  
      # TODO: Waiting for mmengine support
      if use_syncbn and get_world_size() > 1:
          torch.nn.SyncBatchNorm.convert_sync_batchnorm(self)
          print_log("Using SyncBatchNorm()", "current")
  
file_path: mmdetection/mmdet/models/detectors/rtmdet.py
imports: import torch
  from mmengine.dist import get_world_size
  from mmengine.logging import print_log
  from mmdet.registry import MODELS
  from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
  from .single_stage import SingleStageDetector
label_desc: Use image node_id 1 to create a new RTMDet object from inherited base classes: SingleStageDetector with example: obj = RTMDet(backbone, neck, bbox_head, train_cfg, test_cfg, data_preprocessor, init_cfg, use_syncbn)