docstr: Lightning calls this inside the test loop with the data from the test dataloader
  passed in as `batch`.
docstr_tok: ["Lightning","calls","this","inside","the","test","loop","with","the","data","from","the","test","dataloader","passed","in","as","`","batch","`","."]
code: def test_step(self, batch, batch_idx):
      """
      Lightning calls this inside the test loop with the data from the test dataloader
      passed in as `batch`.
      """
      return self.validation_step(batch, batch_idx, "test")
  
imports: import os
  from typing import Dict, List, Optional
  import torch
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from nemo.collections.common.losses import CrossEntropyLoss
  from nemo.collections.nlp.data.text_classification import TextClassificationDataset, calc_class_weights
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  from nemo.collections.nlp.models.nlp_model import NLPModel
  from nemo.collections.nlp.modules.common import SequenceClassifier
  from nemo.collections.nlp.parts.utils_funcs import tensor2list
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.exportable import Exportable
  from nemo.utils import logging
label_desc: Use image node_id 7 for calling the TextClassificationModel obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) and returns: self