class_docstr: Test of T5 model.
class_docstr_tok: ["Test","of","T5","model","."]
docstr: Test model parallel.
  
  Train on a few batches, evaluate, etc.
docstr_tok: ["Test","model","parallel",".","Train","on","a","few","batches",",","evaluate",",","etc","."]
code: def test_t5_model_parallel(self):
      """
      Test model parallel.
  
      Train on a few batches, evaluate, etc.
      """
      with tempdir() as tmpdir:
          # test finetuning
          mf = os.path.join(tmpdir, "model")
          valid, test = testing_utils.train_model(
              dict(
                  task="integration_tests:reverse",
                  model="hugging_face/t5",
                  optimizer="adam",
                  learningrate=3e-5,
                  batchsize=1,
                  num_epochs=0.1,
                  short_final_eval=True,
                  validation_max_exs=12,
                  model_file=mf,
                  t5_model_parallel=True,
                  t5_model_arch="t5-small",
              )
          )
  
imports: import os
  import torch
  import unittest
  from parlai.core.agents import create_agent
  from parlai.core.params import ParlaiParser
  from parlai.core.torch_agent import Batch
  import parlai.utils.testing
  from parlai.utils.torch import padded_tensor
  from parlai.utils.testing import tempdir
  from tests.test_distributed import _AbstractTest
label_desc: Use image node_id 10 for calling the TestT5Model obj's underlying member method code with example usage: obj.test_t5_model_parallel() without return types