code: def test_shape(self, batch_size, device, dtype):
      B: int = batch_size
      F_mat = torch.rand(B, 3, 3, device=device, dtype=dtype)
      P = epi.projections_from_fundamental(F_mat)
      assert P.shape == (B, 3, 4, 2)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia.geometry.epipolar
  from kornia.testing import assert_close
label_desc: Use image node_id 2 for calling the TestProjectionsFromFundamental obj's underlying member method code with example usage: obj.test_shape(batch_size, device, dtype) without return types