code: def test_cameras_check(self):
      verts = torch.tensor(
          [[-1, -1, 0], [1, -1, 1], [1, 1, 0], [-1, 1, 1]],
          dtype=torch.float32,
      )
      faces = torch.tensor([[0, 1, 2], [2, 3, 0]], dtype=torch.int64)
      meshes = Meshes(verts=[verts], faces=[faces])
  
      pix_to_face = torch.tensor([0, 1], dtype=torch.int64).view(
          1, 1, 1, 2
      )
      barycentric_coords = torch.tensor(
          [[0.1, 0.2, 0.7], [0.3, 0.5, 0.2]], dtype=torch.float32
      ).view(1, 1, 1, 2, -1)
      fragments = Fragments(
          pix_to_face=pix_to_face,
          bary_coords=barycentric_coords,
          zbuf=torch.ones_like(pix_to_face),
          dists=torch.ones_like(pix_to_face),
      )
  
      for shader_class in self.shader_classes:
          shader = shader_class()
  
          with self.assertRaises(ValueError):
              shader(fragments, meshes)
  
file_path: pytorch3d/tests/test_shader.py
imports: import unittest
  import torch
  from pytorch3d.renderer.cameras import look_at_view_transform, PerspectiveCameras
  from pytorch3d.renderer.mesh.rasterizer import Fragments
  from pytorch3d.renderer.mesh.shader import HardDepthShader, HardFlatShader, HardGouraudShader, HardPhongShader, SoftDepthShader, SoftPhongShader, SplatterPhongShader
  from pytorch3d.structures.meshes import Meshes
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 3 for calling the TestShader obj's underlying member method code with example usage: obj.test_cameras_check() without return types