code: def invalid_model_task_config(model_w_task, dtype, enable_cuda_graph):
      model, task = model_w_task
      msg = ""
      if pkg_version.parse(torch.__version__) <= pkg_version.parse(
          "1.2"
      ):
          msg = "DS inference injection doesn't work well on older torch versions"
      elif model not in pytest.all_models[task]:
          msg = (
              f"Not a valid model / task combination: {model} / {task}"
          )
      elif enable_cuda_graph and (torch_info["cuda_version"] == "0.0"):
          msg = "CUDA not detected, cannot use CUDA Graph"
      elif enable_cuda_graph and pkg_version.parse(
          torch.__version__
      ) < pkg_version.parse("1.10"):
          msg = "CUDA Graph is only available in torch versions >= 1.10"
      elif "gpt-j-6B" in model:
          if dtype != torch.half:
              msg = f"Not enough GPU memory to run {model} with dtype {dtype}"
          elif enable_cuda_graph:
              msg = f"Not enough GPU memory to run {model} with CUDA Graph enabled"
      elif (
          "gpt-neox-20b" in model
      ):  # TODO: remove this when neox issues resolved
          msg = "Skipping gpt-neox-20b for now"
      elif ("gpt-neox-20b" in model) and (dtype != torch.half):
          msg = (
              f"Not enough GPU memory to run {model} with dtype {dtype}"
          )
      elif ("bloom" in model) and (dtype != torch.half):
          msg = f"Bloom models only support half precision, cannot use dtype {dtype}"
      elif ("bert" not in model.lower()) and enable_cuda_graph:
          msg = "Non bert/roberta models do no support CUDA Graph"
      return msg
  
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
  from transformers.models.t5.modeling_t5 import T5Block
  from transformers.models.roberta.modeling_roberta import RobertaLayer
  from huggingface_hub import HfApi
label_desc: Use image node_id 5 for calling a global function with example usage: invalid_model_task_config(model_w_task, dtype, enable_cuda_graph) and returns: msg