code: def numpy_to_yolo_format(numpy_image):
      numpy_image = numpy_image.astype(np.float64)
      numpy_image = numpy_image / 255
      try_to_import_torch()
      import torch
  
      r = torch.tensor(numpy_image[:, :, 0])
      g = torch.tensor(numpy_image[:, :, 1])
      b = torch.tensor(numpy_image[:, :, 2])
      rgb = torch.stack((r, g, b), dim=0)
      rgb = rgb.unsqueeze(0)
      return rgb
  
file_path: evadb/test/integration_tests/long/functions/test_yolo_object_detector.py
imports: import os
  import sys
  import unittest
  import mock
  import numpy
  import pandas
  from evadb.utils.generic_utils import try_to_import_cv2, try_to_import_torch
label_desc: Use image node_id 1 for calling a global function with example usage: numpy_to_yolo_format(numpy_image) and returns: rgb