code: def predictor_fixture():
      model = models.detection.maskrcnn_resnet50_fpn()
      yield TorchDetectionPredictor(model=model)
  
file_path: ray/python/ray/train/tests/test_torch_detection_predictor.py
imports: import numpy
  import pytest
  from torchvision import models
  from ray.air.util.tensor_extensions.utils import create_ragged_ndarray
  from ray.train.torch import TorchDetectionPredictor
label_desc: Use image node_id 1 for calling a global function with example usage: predictor_fixture() without return types