code: def forward(self, blocks, for_mot=False):
      assert len(blocks) == self.num_blocks
      blocks = blocks[::-1]
      yolo_feats = []
  
      # add embedding features output for multi-object tracking model
      if for_mot:
          emb_feats = []
  
      for i, block in enumerate(blocks):
          if i == 0 and self.spp_:
              block = self.spp(block)
  
          if i > 0:
              if self.data_format == "NCHW":
                  block = paddle.concat([route, block], axis=1)
              else:
                  block = paddle.concat([route, block], axis=-1)
          route, tip = self.yolo_blocks[i](block)
          yolo_feats.append(tip)
  
          if for_mot:
              # add embedding features output
              emb_feats.append(route)
  
          if i < self.num_blocks - 1:
              route = self.routes[i](route)
              route = F.interpolate(
                  route, scale_factor=2.0, data_format=self.data_format
              )
  
      if for_mot:
          return {"yolo_feats": yolo_feats, "emb_feats": emb_feats}
      else:
          return yolo_feats
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register, serializable
  from ppdet.modeling.layers import DropBlock
  from ppdet.modeling.ops import get_act_fn
  from ..backbones.darknet import ConvBNLayer
  from ..shape_spec import ShapeSpec
  from ..backbones.csp_darknet import BaseConv, DWConv, CSPLayer
label_desc: Use image node_id 2 for calling the PPYOLOTinyFPN obj's underlying member method code with example usage: obj.forward(blocks, for_mot) and returns: dict, yolo_feats