code: def assert_fn(model_w_task):
      model, task = model_w_task
      assert_fn_dict = {
          "fill-mask": fill_mask_assert,
          "question-answering": question_answering_assert,
          "text-classification": text_classification_assert,
          "token-classification": token_classification_assert,
          "text-generation": text_generation_assert,
          "text2text-generation": text2text_generation_assert,
          "translation": translation_assert,
          "summarization": summarization_assert,
      }
      assert_fn = assert_fn_dict.get(task, None)
      if assert_fn is None:
          NotImplementedError(
              f'assert_fn for task "{task}" is not implemented'
          )
      return assert_fn
  
imports: import os
  import time
  import torch
  import pytest
  import itertools
  import deepspeed
  from deepspeed.git_version_info import torch_info
  from unit.common import DistributedTest
  from packaging import version
  from deepspeed.ops.op_builder import OpBuilder
  from transformers import pipeline, AutoTokenizer
  from transformers.models.t5.modeling_t5 import T5Block
  from transformers.models.roberta.modeling_roberta import RobertaLayer
  from huggingface_hub import HfApi
  from deepspeed.model_implementations import DeepSpeedTransformerInference
  from torch import nn
  from deepspeed.accelerator import get_accelerator
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 16 for calling a global function with example usage: assert_fn(model_w_task) and returns: assert_fn