Method test_fail

tests/transforms/inverse/test_inverse.py:457–464

(self)

    # skip this test if multiprocessing uses 'spawn', as the check is only basic anyway
    @skipUnless(torch.multiprocessing.get_start_method() == "spawn", "requires spawn")
    def test_fail(self):
        t1 = SpatialPadd("image", [10, 5])
        data = t1(self.all_data["2D"])

        # Check that error is thrown when inverse are used out of order.
        t2 = ResizeWithPadOrCropd("image", [10, 5])
        with self.assertRaises(RuntimeError):
            t2.inverse(data)

    @parameterized.expand(N_SAMPLES_TESTS)
    def test_inverse_inferred_seg(self, extra_transform):