code: def test_batch_support_check(self, device, dtype):
      P1_batch = torch.tensor(
          [
              [
                  [9.4692e02, -9.6658e02, 6.0862e02, -2.3076e05],
                  [-2.1829e02, 5.4163e02, 1.3445e03, -6.4387e05],
                  [-6.0675e-01, -6.9807e-01, 3.8021e-01, 3.8896e02],
              ],
              [
                  [9.4692e02, -9.6658e02, 6.0862e02, -2.3076e05],
                  [-2.1829e02, 5.4163e02, 1.3445e03, -6.4387e05],
                  [-6.0675e-01, -6.9807e-01, 3.8021e-01, 3.8896e02],
              ],
          ],
          device=device,
          dtype=dtype,
      )
      P1 = torch.tensor(
          [
              [
                  [9.4692e02, -9.6658e02, 6.0862e02, -2.3076e05],
                  [-2.1829e02, 5.4163e02, 1.3445e03, -6.4387e05],
                  [-6.0675e-01, -6.9807e-01, 3.8021e-01, 3.8896e02],
              ]
          ],
          device=device,
          dtype=dtype,
      )
      P2_batch = torch.tensor(
          [
              [
                  [1.1518e03, -7.5822e02, 5.4764e02, -1.9764e05],
                  [-2.1548e02, 5.3102e02, 1.3492e03, -6.4731e05],
                  [-4.3727e-01, -7.8632e-01, 4.3646e-01, 3.4515e02],
              ],
              [
                  [9.9595e02, -8.6464e02, 6.7959e02, -2.7517e05],
                  [-8.1716e01, 7.7826e02, 1.2395e03, -5.8137e05],
                  [-5.7090e-01, -6.0416e-01, 5.5594e-01, 2.8111e02],
              ],
          ],
          device=device,
          dtype=dtype,
      )
      P2 = torch.tensor(
          [
              [
                  [1.1518e03, -7.5822e02, 5.4764e02, -1.9764e05],
                  [-2.1548e02, 5.3102e02, 1.3492e03, -6.4731e05],
                  [-4.3727e-01, -7.8632e-01, 4.3646e-01, 3.4515e02],
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      F_batch = epi.fundamental_from_projections(P1_batch, P2_batch)
      F = epi.fundamental_from_projections(P1, P2)
      assert_close(F_batch[0], F[0])
  
imports: from typing import Dict
  import pytest
  import test_common
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 6 for calling the TestFundamentalFromProjections obj's underlying member method code with example usage: obj.test_batch_support_check(device, dtype) without return types