code: def test_splat_kernel_normalization(self):
      self.assertAlmostEqual(
          float(_get_splat_kernel_normalization(offsets)),
          0.6503,
          places=3,
      )
      self.assertAlmostEqual(
          float(_get_splat_kernel_normalization(offsets, 0.01)),
          1.05,
          places=3,
      )
      with self.assertRaisesRegex(
          ValueError, "Only positive standard deviations"
      ):
          _get_splat_kernel_normalization(offsets, 0)
  
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 TestGetSplatKernelNormalization obj's underlying member method code with example usage: obj.test_splat_kernel_normalization() without return types