code: def arrange_targets(self, tensor_dict):
      slots, _, _ = tensor_dict["slots"]
      return slots
  
file_path: pytext/demo/my_tagging/model.py
imports: from typing import List
  import torch
  from pytext.config.pytext_config import ConfigBase
  from pytext.data.tensorizers import TokenTensorizer
  from pytext.loss import CrossEntropyLoss
  from pytext.models.decoders.mlp_decoder import MLPDecoder
  from pytext.models.embeddings import WordEmbedding
  from pytext.models.model import Model
  from pytext.models.module import create_module
  from pytext.models.representations.bilstm_slot_attn import BiLSTMSlotAttention
  from .output import MyTaggingOutputLayer
label_desc: Use image node_id 3 for calling the MyTaggingModel obj's underlying member method code with example usage: obj.arrange_targets(tensor_dict) and returns: slots