code: def forward(self, x, data=None):
      y = dict()
      if self.use_transform:
          x = self.transform(x)
      if self.use_backbone:
          x = self.backbone(x)
      if isinstance(x, dict):
          y.update(x)
      else:
          y["backbone_out"] = x
      final_name = "backbone_out"
      if self.use_neck:
          x = self.neck(x)
          if isinstance(x, dict):
              y.update(x)
          else:
              y["neck_out"] = x
          final_name = "neck_out"
      if self.use_head:
          x = self.head(x, targets=data)
          # for multi head, save ctc neck out for udml
          if isinstance(x, dict) and "ctc_neck" in x.keys():
              y["neck_out"] = x["ctc_neck"]
              y["head_out"] = x
          elif isinstance(x, dict):
              y.update(x)
          else:
              y["head_out"] = x
          final_name = "head_out"
      if self.return_all_feats:
          if self.training:
              return y
          elif isinstance(x, dict):
              return x
          else:
              return {final_name: x}
      else:
          return x
  
file_path: PaddleOCR/ppocr/modeling/architectures/base_model.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from paddle import nn
  from ppocr.modeling.transforms import build_transform
  from ppocr.modeling.backbones import build_backbone
  from ppocr.modeling.necks import build_neck
  from ppocr.modeling.heads import build_head
label_desc: Use image node_id 2 for calling the BaseModel obj's underlying member method code with example usage: obj.forward(x, data) and returns: x, y, x, dict