code: def verify_models():
      # Verify all test models are registered in HF
      _test_models_not_found = [
          m for m in _test_models if m not in _hf_model_names
      ]
      if _test_models_not_found:
          pytest.fail(
              f"Model(s) not found in HuggingFace: {_test_models_not_found}"
          )
  
      # Verify all models are assigned to at least one task
      _models_to_be_tested = set(m for m, t in _model_w_tasks)
      _missing_task_models = _models_to_be_tested.difference(
          _test_models
      )
      if _missing_task_models:
          pytest.fail(
              f"Model(s) do not have an assigned task: {_missing_task_models}"
          )
  
imports: import pytest
  import itertools
  import pickle
  import os
  import time
  from dataclasses import dataclass
  from typing import List
  import deepspeed
  import torch
  from huggingface_hub import HfApi
  from packaging import version
  from torch import nn
  from transformers import pipeline, AutoTokenizer
  from transformers.models.t5.modeling_t5 import T5Block
  from transformers.models.roberta.modeling_roberta import RobertaLayer
  from deepspeed.accelerator import get_accelerator
  from deepspeed.git_version_info import torch_info
  from deepspeed.model_implementations import DeepSpeedTransformerInference
  from deepspeed.ops.op_builder import InferenceBuilder
  from deepspeed.ops.op_builder import OpBuilder
  from unit.common import DistributedTest
label_desc: Use image node_id 2 for calling a global function with example usage: verify_models() without return types