code: def test_parallel_training_bottleneck(self):
      self.run_parallel_training_test(SeqBnConfig(), "adapters.{}")
  
imports: import copy
  import random
  import torch
  from adapters import ADAPTER_MODEL_MAPPING, AutoAdapterModel, PrefixTuningConfig, SeqBnConfig, T5AdapterModel
  from adapters.composition import BatchSplit, Parallel
  from adapters.models.bert_generation.adapter_model import BertGenerationAdapterModel
  from transformers import MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING, Trainer, TrainingArguments
  from transformers.testing_utils import require_torch, torch_device
label_desc: Use image node_id 5 for calling the ParallelTrainingMixin obj's underlying member method code with example usage: obj.test_parallel_training_bottleneck() without return types