code: def test_openvino_inference(
      model_name: str,
      generate_results_dir,
      task: str,
      category: str = "shapes",
      path: str = "./datasets/MVTec",
  ):
      """Tests OpenVINO inference.
      Model is not trained as this checks that the inferencers are working.
      Args:
          model_name (str): Name of the model
      """
      model_config, _model = generate_results_dir(
          model_name=model_name,
          dataset_path=path,
          task=task,
          category=category,
          export_mode="openvino",
      )
      export_path = Path(model_config.project.path)
  
      # Test OpenVINO inferencer
      openvino_inferencer = OpenVINOInferencer(
          export_path / "weights/openvino/model.xml",
          export_path / "weights/openvino/metadata.json",
      )
      openvino_dataloader = MockImageLoader(
          model_config.dataset.image_size, total_count=1
      )
      for image in openvino_dataloader():
          prediction = openvino_inferencer.predict(image)
          assert 0.0 <= prediction.pred_score <= 1.0
  
file_path: anomalib/tests/pre_merge/deploy/test_inferencer.py
imports: from pathlib import Path
  from tempfile import TemporaryDirectory
  from typing import Optional, Union
  import pytest
  import torch
  from omegaconf import DictConfig, ListConfig
  from pytorch_lightning import Trainer
  from anomalib.config import get_configurable_parameters
  from anomalib.data import get_datamodule
  from anomalib.deploy import OpenVINOInferencer, TorchInferencer
  from anomalib.models import get_model
  from anomalib.utils.callbacks import get_callbacks
  from tests.helpers.dataset import TestDataset, get_dataset_path
  from tests.helpers.inference import MockImageLoader
label_desc: Use image node_id 4 for calling a global function with example usage: test_openvino_inference(model_name, generate_results_dir, task, category, path) without return types