class_docstr: Class of COCO model that returns cached predictions.
class_docstr_tok: ["Class","of","COCO","model","that","returns","cached","predictions","."]
code: def __init__(self, real_model, device):
      self.real_model = real_model
      self.device = device
      self.cache = coco_detections_static_predictions_dict
  
imports: import logging
  import typing
  import warnings
  import zipfile
  from io import BytesIO
  from pathlib import Path
  from urllib.request import urlopen
  import albumentations
  import numpy
  import torch
  from PIL import Image
  from torch.utils.data import DataLoader
  from typing_extensions import Literal
  from deepchecks.vision.datasets.assets.coco_detection.static_predictions_yolo import coco_detections_static_predictions_dict
  from deepchecks.vision.datasets.detection.coco_utils import COCO_DIR, LABEL_MAP, download_coco128, get_image_and_label
  from deepchecks.vision.utils.test_utils import get_data_loader_sequential, hash_image
  from deepchecks.vision.vision_data import BatchOutputFormat, VisionData
label_desc: Use image node_id 1 to create a new MockModel object  with example: obj = MockModel(real_model, device)