docstr: Lightning calls this inside the test loop with data from the test dataloader.
docstr_tok: ["Lightning","calls","this","inside","the","test","loop","with","data","from","the","test","dataloader","."]
code: def test_step(self, batch: Tuple, batch_idx: int) -> torch.Tensor:
      """Lightning calls this inside the test loop with data from the test dataloader."""
      input_ids, input_mask, decoder_input_ids, labels = batch
      sequences = self.generate(input_ids=input_ids)
      return sequences
  
imports: from typing import Dict, List, Optional, Tuple
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Trainer
  from transformers import AutoModel, BartForConditionalGeneration, EncoderDecoderModel
  from nemo.collections.common.metrics import Perplexity
  from nemo.collections.nlp.data.text2sparql import Text2SparqlDataset
  from nemo.collections.nlp.modules.common.tokenizer_utils import get_tokenizer
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.modelPT import ModelPT
  from nemo.core.neural_types import ChannelType, MaskType, NeuralType
  from nemo.utils import logging
label_desc: Use image node_id 8 for calling the Text2SparqlModel obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) and returns: sequences