code: def __init__(self, x=None, y=None, device="cpu"):
      super().__init__(device=device, x=x, y=y)
  
imports: import unittest
  import numpy
  import torch
  from pytorch3d.common.compat import meshgrid_ij
  from pytorch3d.ops import eyes
  from pytorch3d.renderer import AlphaCompositor, PerspectiveCameras, PointsRasterizationSettings, PointsRasterizer, PointsRenderer
  from pytorch3d.renderer.utils import ndc_grid_sample, ndc_to_grid_sample_coords, TensorProperties
  from pytorch3d.structures import Pointclouds
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 1 to create a new TensorPropertiesTestClass object from inherited base classes: TensorProperties with example: obj = TensorPropertiesTestClass(x, y, device)