code: def test_knn_vs_python_square_cuda(self):
      device = get_random_cuda_device()
      # Check both cases where the output is sorted and unsorted
      self._knn_vs_python_square_helper(device, return_sorted=True)
      self._knn_vs_python_square_helper(device, return_sorted=False)
  
imports: import unittest
  from itertools import product
  import torch
  from pytorch3d.ops.knn import _KNN, knn_gather, knn_points
  from .common_testing import get_random_cuda_device, TestCaseMixin
label_desc: Use image node_id 5 for calling the TestKNN obj's underlying member method code with example usage: obj.test_knn_vs_python_square_cuda() without return types