6a4fa82792bddc6126eaf944956f49f0a0cb7ca7,test/filters/test_sobel.py,TestSobel,test_magnitude,#TestSobel#,261

Before Change

            [0., 0., 0., 0., 0.],
        ]]]).to(device)

        expected = torch.tensor([[[
            [0., 1.4142, 2.0, 1.4142, 0.],
            [1.4142, 4.2426, 4.00, 4.2426, 1.4142],
            [2.0, 4.0000, 0.00, 4.0000, 2.0],
            [1.4142, 4.2426, 4.00, 4.2426, 1.4142],
            [0., 1.4142, 2.0, 1.4142, 0.],
        ]]]).to(device)

        edges = kornia.filters.sobel(inp, normalized=False, eps=0.)
        assert_allclose(edges, expected)

After Change

            [0., 0., 0., 0., 0.],
        ]]], device=device, dtype=dtype)

        expected = torch.tensor([[[
            [0., 1.4142, 2.0, 1.4142, 0.],
            [1.4142, 4.2426, 4.00, 4.2426, 1.4142],
            [2.0, 4.0000, 0.00, 4.0000, 2.0],
            [1.4142, 4.2426, 4.00, 4.2426, 1.4142],
            [0., 1.4142, 2.0, 1.4142, 0.],
        ]]], device=device, dtype=dtype)

        edges = kornia.filters.sobel(inp, normalized=False, eps=0.)
        assert_allclose(edges, expected)

Instances