code: def to_numpy(tensor):
      return (
          tensor.detach().cpu().numpy()
          if tensor.requires_grad
          else tensor.cpu().numpy()
      )
  
file_path: deep-learning-for-image-processing/others_project/openvinotest/openvino_cls_test/float32vsint8.py
imports: import os
  import time
  import torch
  from torchvision import transforms, datasets
  from tqdm import tqdm
  import numpy
  from openvino.inference_engine import IECore
label_desc: Use image node_id 2 for calling a global function with example usage: to_numpy(tensor) and returns: unknown