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Align mlx::core::min op nan propagation with NumPy

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This commit is contained in:
Joona Havukainen
2025-07-09 16:27:10 -07:00
parent e14ee12491
commit 61003524ee
5 changed files with 62 additions and 6 deletions
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4
python/tests/test_reduce.py
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@@ -173,7 +173,7 @@ class TestReduce(mlx_tests.MLXTestCase):
x[idx[0], idx[1]] = mx.nan
x_np = np.array(x)
for op in ["max"]:
for op in ["max", "min"]:
for axis in [0, 1]:
out = getattr(mx, op)(x, axis=axis)
ref = getattr(np, op)(x_np, axis=axis)
@@ -205,7 +205,7 @@ class TestReduce(mlx_tests.MLXTestCase):
np_arrays,
):
for axis in [0, 1]:
for op in ["max"]:
for op in ["max", "min"]:
out = getattr(mx, op)(mx_arr, axis=axis)
ref = getattr(np, op)(np_arr, axis=axis)
self.assertTrue(np.array_equal(out, ref, equal_nan=True))