code: def testMtfTransformerEncoderDataModelParallel(self):
      hparams = mtf_transformer.mtf_transformer_enc_single()
  
      model, features, hparams = get_model(hparams)
      hparams.mesh_shape = "batch:2;model:2"
      hparams.layout = "batch:batch;vocab:model;d_ff:model;heads:model"
      mesh, mesh_impl = get_placement_mesh(hparams)
  
      logits, _ = model.mtf_model_fn(features, mesh)
      lowering = mtf.Lowering(mesh.graph, {mesh: mesh_impl})
      tf_group = lowering.copy_masters_to_slices()
      tf_logits = lowering.export_to_tf_tensor(logits)
  
      with self.test_session() as session:
          session.run(tf.global_variables_initializer())
          session.run(tf_group)
          res = session.run(tf_logits)
      self.assertEqual(
          res.shape, (BATCH_SIZE, TARGET_LENGTH, VOCAB_SIZE)
      )
  
file_path: tensor2tensor/tensor2tensor/models/mtf_transformer_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import mesh_tensorflow
  import numpy
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.models import mtf_transformer
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling the MtfTransformerTest obj's underlying member method code with example usage: obj.testMtfTransformerEncoderDataModelParallel() without return types