code: def get_cls_channels(self, num_classes):
      assert num_classes == self.num_classes
      if not self.use_sigmoid:
          return num_classes + 1
      else:
          return num_classes
  
imports: import warnings
  import torch
  import torch.nn
  import torch.nn.functional
  from mmdet.registry import MODELS
  from .accuracy import accuracy
  from .utils import weight_reduce_loss
label_desc: Use image node_id 2 for calling the CrossEntropyCustomLoss obj's underlying member method code with example usage: obj.get_cls_channels(num_classes) and returns: unknown, num_classes