code: def _get_rand_input_intent_slot(
      self, batch_size, w_vocab_size, num_words, num_seq=0
  ):
      text = torch.from_numpy(
          np.random.randint(
              w_vocab_size, size=(batch_size, num_words)
          ).astype(np.int64)
      )
      lengths = torch.from_numpy(
          np.random.randint(
              num_words, num_words + 1, size=(batch_size)
          ).astype(np.int64)
      )
      inputs = [text]
      if num_seq > 0:
          inputs.append(
              torch.from_numpy(
                  np.random.randint(
                      w_vocab_size,
                      size=(batch_size, num_seq, num_words),
                  ).astype(np.int64)
              )
          )
      inputs.append(lengths)
      if num_seq > 0:
          inputs.append(
              torch.from_numpy(
                  np.random.randint(
                      num_seq, num_seq + 1, size=(batch_size)
                  ).astype(np.int64)
              )
          )
      return tuple(inputs)
  
imports: import json
  import operator
  import tempfile
  from collections import Counter
  from distutils.version import LooseVersion
  import caffe2.python.hypothesis_test_util
  import caffe2.python.predictor.predictor_exporter
  import hypothesis.strategies
  import numpy
  import torch
  import torch.nn.functional
  import torchtext
  from caffe2.python import workspace
  from hypothesis import given, settings
  from pytext.builtin_task import DocumentClassificationTask, IntentSlotTask, SeqNNTask, WordTaggingTask
  from pytext.common.constants import DatasetFieldName, SpecialTokens
  from pytext.config import config_from_json
  from pytext.config.component import create_exporter, create_model
  from pytext.data import CommonMetadata
  from pytext.data.utils import Vocabulary
  from pytext.exporters.exporter import ModelExporter
  from pytext.fields import CharFeatureField, DictFeatureField, FieldMeta, SeqFeatureField, TextFeatureField
  from pytext.legacy.vocab import Vocab
  from pytext.task.new_task import _NewTask
  from pytext.utils.onnx import CAFFE2_DB_TYPE
label_desc: Use image node_id 4 for calling the ModelExporterTest obj's underlying member method code with example usage: obj._get_rand_input_intent_slot(batch_size, w_vocab_size, num_words, num_seq) and returns: tuple