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add fftshift and ifftshift fft helpers (#2135)

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* add fftshift and ifftshift fft helpers

* address comments

* axes have to be iterable

* fix fp error in roll + add test

---------

Co-authored-by: Aashiq Dheeraj <aashiq@aashiq-mbp-m4.local>
This commit is contained in:
Aashiq Dheeraj
2025-04-30 01:13:45 -04:00
committed by GitHub
parent 7bb063bcb3
commit bb6565ef14
9 changed files with 275 additions and 2 deletions
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62
python/tests/test_fft.py
View File

@@ -199,6 +199,68 @@ class TestFFT(mlx_tests.MLXTestCase):
with self.assertRaises(ValueError):
mx.fft.irfftn(x)
def test_fftshift(self):
# Test 1D arrays
r = np.random.rand(100).astype(np.float32)
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r)
# Test with specific axis
r = np.random.rand(4, 6).astype(np.float32)
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r, axes=[0])
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r, axes=[1])
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r, axes=[0, 1])
# Test with negative axes
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r, axes=[-1])
# Test with odd lengths
r = np.random.rand(5, 7).astype(np.float32)
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r)
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, r, axes=[0])
# Test with complex input
r = np.random.rand(8, 8).astype(np.float32)
i = np.random.rand(8, 8).astype(np.float32)
c = r + 1j * i
self.check_mx_np(mx.fft.fftshift, np.fft.fftshift, c)
def test_ifftshift(self):
# Test 1D arrays
r = np.random.rand(100).astype(np.float32)
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r)
# Test with specific axis
r = np.random.rand(4, 6).astype(np.float32)
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r, axes=[0])
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r, axes=[1])
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r, axes=[0, 1])
# Test with negative axes
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r, axes=[-1])
# Test with odd lengths
r = np.random.rand(5, 7).astype(np.float32)
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r)
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, r, axes=[0])
# Test with complex input
r = np.random.rand(8, 8).astype(np.float32)
i = np.random.rand(8, 8).astype(np.float32)
c = r + 1j * i
self.check_mx_np(mx.fft.ifftshift, np.fft.ifftshift, c)
def test_fftshift_errors(self):
# Test invalid axes
x = mx.array(np.random.rand(4, 4).astype(np.float32))
with self.assertRaises(ValueError):
mx.fft.fftshift(x, axes=[2])
with self.assertRaises(ValueError):
mx.fft.fftshift(x, axes=[-3])
# Test empty array
x = mx.array([])
self.assertTrue(mx.array_equal(mx.fft.fftshift(x), x))
if __name__ == "__main__":
unittest.main()

5
python/tests/test_ops.py
View File

@@ -2961,6 +2961,11 @@ class TestOps(mlx_tests.MLXTestCase):
y2 = mx.roll(x, s, a)
self.assertTrue(mx.array_equal(y1, y2).item())
def test_roll_errors(self):
x = mx.array([])
result = mx.roll(x, [0], [0])
self.assertTrue(mx.array_equal(result, x))
def test_real_imag(self):
x = mx.random.uniform(shape=(4, 4))
out = mx.real(x)