Remove old fft checks

Signed-off-by: Eric Kerfoot <[email protected]>

Author: ericspod

tests/networks/layers/test_hilbert_transform.py

@@ -18,8 +18,6 @@
 from parameterized import parameterized
 
 from monai.networks.layers import HilbertTransform
-from monai.utils import OptionalImportError
-from tests.test_utils import SkipIfModule, SkipIfNoModule
 
 
 def create_expected_numpy_output(input_datum, **kwargs):
@@ -112,7 +110,6 @@ def create_expected_numpy_output(input_datum, **kwargs):
 # TESTS CHECKING PADDING, AXIS SELECTION ETC ARE COVERED BY test_detect_envelope.py
 
 
-@SkipIfNoModule("torch.fft")
 class TestHilbertTransformCPU(unittest.TestCase):
     @parameterized.expand(TEST_CASES_CPU + TEST_CASES_GPU)
     def test_value(self, arguments, image, expected_data, atol):
@@ -121,11 +118,5 @@ def test_value(self, arguments, image, expected_data, atol):
         np.testing.assert_allclose(result, expected_data.squeeze(), atol=atol)
 
 
-@SkipIfModule("torch.fft")
-class TestHilbertTransformNoFFTMod(unittest.TestCase):
-    def test_no_fft_module_error(self):
-        self.assertRaises(OptionalImportError, HilbertTransform(), torch.randn(1, 1, 10))
-
-
 if __name__ == "__main__":
     unittest.main()

tests/transforms/test_detect_envelope.py

@@ -18,8 +18,7 @@
 from parameterized import parameterized
 
 from monai.transforms import DetectEnvelope
-from monai.utils import OptionalImportError
-from tests.test_utils import TEST_NDARRAYS, SkipIfModule, SkipIfNoModule, assert_allclose
+from tests.test_utils import TEST_NDARRAYS, assert_allclose
 
 n_samples = 500
 hann_windowed_sine = np.sin(2 * np.pi * 10 * np.linspace(0, 1, n_samples)) * np.hanning(n_samples)
@@ -114,7 +113,6 @@
 TEST_CASE_INVALID_OBJ = [{}, "a string", "__call__"]  # method expected to raise exception
 
 
-@SkipIfNoModule("torch.fft")
 class TestDetectEnvelope(unittest.TestCase):
     @parameterized.expand(
         [
@@ -149,11 +147,5 @@ def test_value_error(self, arguments, image, method):
             self.fail("Expected raising method invalid. Should be __init__ or __call__.")
 
 
-@SkipIfModule("torch.fft")
-class TestHilbertTransformNoFFTMod(unittest.TestCase):
-    def test_no_fft_module_error(self):
-        self.assertRaises(OptionalImportError, DetectEnvelope(), np.random.rand(1, 10))
-
-
 if __name__ == "__main__":
     unittest.main()

tests/transforms/test_fourier.py

@@ -20,13 +20,10 @@
 from monai.data.synthetic import create_test_image_2d, create_test_image_3d
 from monai.transforms import Fourier
 from monai.utils.misc import set_determinism
-from tests.test_utils import  SkipIfNoModule
 
 TEST_CASES = [((128, 64),), ((64, 48, 80),)]
 
 
-
-@SkipIfNoModule("torch.fft")
 class TestFourier(unittest.TestCase):
     def setUp(self):
         set_determinism(0)