code: def setUp(self):
      self.results_cpu = _precompute((2, 3, 4, 5), torch.device("cpu"))
      self.results1_cpu = _precompute((1, 1, 1, 1), torch.device("cpu"))
  
imports: import unittest
  import torch
  from pytorch3d.common.compat import meshgrid_ij
  from pytorch3d.renderer.cameras import FoVPerspectiveCameras
  from pytorch3d.renderer.splatter_blend import _compute_occlusion_layers, _compute_splatted_colors_and_weights, _compute_splatting_colors_and_weights, _get_splat_kernel_normalization, _normalize_and_compose_all_layers, _offset_splats, _precompute, _prepare_pixels_and_colors
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 1 for calling the TestPrecompute obj's underlying member method code with example usage: obj.setUp() without return types