a16fe2b4f917b6b7a6f81c63832429740ff02311,test/augmentation/test_augmentation_3d.py,TestRandomDepthicalFlip3D,test_random_dflip,#TestRandomDepthicalFlip3D#,360

Before Change

                                 [0., 1., 0., 0.],
                                 [0., 0., 1., 0.],
                                 [0., 0., 0., 1.]])  // 4 x 4
        identity = identity.to(device)

        assert_allclose(f(input)[0], expected)
        assert_allclose(f(input)[1], expected_transform)
        assert_allclose(f1(input)[0], input)

After Change

                                    [0., 0., 0., 0.],
                                    [0., 0., 0., 1.]]]]], device=device, dtype=dtype)  // 2 x 3 x 4

        expected_transform = torch.tensor([[[1., 0., 0., 0.],
                                            [0., 1., 0., 0.],
                                            [0., 0., -1., 1.],
                                            [0., 0., 0., 1.]]], device=device, dtype=dtype)  // 4 x 4

        identity = torch.tensor([[[1., 0., 0., 0.],
                                  [0., 1., 0., 0.],

Instances