Modified sort behavior when running CPU or Metal to match NumPy/JAX (#2667)

* Modified sort behavior when running CPU or Metal to match NumPy/JAX sorting behavior.

* Modified sort behavior when running CPU or Metal to match NumPy/JAX

* nits

---------

Co-authored-by: Awni Hannun <awni@apple.com>
This commit is contained in:
Manuel Villanueva
2025-10-13 16:36:45 -05:00
committed by GitHub
parent 9bfc476d72
commit 9cbb1b0148
3 changed files with 58 additions and 7 deletions

View File

@@ -15,6 +15,18 @@ namespace mlx::core {
namespace {
// NaN-aware comparator that places NaNs at the end
template <typename T>
bool nan_aware_less(T a, T b) {
if constexpr (std::is_floating_point_v<T> || std::is_same_v<T, complex64_t>) {
if (std::isnan(a))
return false;
if (std::isnan(b))
return true;
}
return a < b;
}
template <typename T>
struct StridedIterator {
using iterator_category = std::random_access_iterator_tag;
@@ -130,7 +142,7 @@ void sort(array& out, int axis) {
StridedIterator st(data_ptr, axis_stride, 0);
StridedIterator ed(data_ptr, axis_stride, axis_size);
std::stable_sort(st, ed);
std::stable_sort(st, ed, nan_aware_less<T>);
src_it.step();
}
}
@@ -184,6 +196,15 @@ void argsort(const array& in, array& out, int axis) {
std::stable_sort(st, ed, [data_ptr, in_stride](IdxT a, IdxT b) {
auto v1 = data_ptr[a * in_stride];
auto v2 = data_ptr[b * in_stride];
// Handle NaNs (place them at the end)
if (std::is_floating_point<T>::value) {
if (std::isnan(v1))
return false;
if (std::isnan(v2))
return true;
}
return v1 < v2 || (v1 == v2 && a < b);
});
}
@@ -219,7 +240,7 @@ void partition(array& out, int axis, int kth) {
StridedIterator md(data_ptr, axis_stride, kth);
StridedIterator ed(data_ptr, axis_stride, axis_size);
std::nth_element(st, md, ed);
std::nth_element(st, md, ed, nan_aware_less<T>);
}
}
@@ -276,6 +297,15 @@ void argpartition(const array& in, array& out, int axis, int kth) {
std::nth_element(st, md, ed, [data_ptr, in_stride](IdxT a, IdxT b) {
auto v1 = data_ptr[a * in_stride];
auto v2 = data_ptr[b * in_stride];
// Handle NaNs (place them at the end)
if (std::is_floating_point<T>::value) {
if (std::isnan(v1))
return false;
if (std::isnan(v2))
return true;
}
return v1 < v2 || (v1 == v2 && a < b);
});
}

View File

@@ -19,11 +19,28 @@ METAL_FUNC void thread_swap(thread T& a, thread T& b) {
b = w;
}
template <typename T, typename = void>
struct Init {
static constexpr constant T v = Limits<T>::max;
};
template <typename T>
struct Init<T, metal::enable_if_t<metal::is_floating_point_v<T>>> {
static constexpr constant T v = metal::numeric_limits<T>::quiet_NaN();
};
template <typename T>
struct LessThan {
static constexpr constant T init = Limits<T>::max;
METAL_FUNC bool operator()(T a, T b) {
static constexpr constant T init = Init<T>::v;
METAL_FUNC bool operator()(T a, T b) const {
if constexpr (
metal::is_floating_point_v<T> || metal::is_same_v<T, complex64_t>) {
bool an = isnan(a);
bool bn = isnan(b);
if (an | bn) {
return (!an) & bn;
}
}
return a < b;
}
};

View File

@@ -3100,8 +3100,6 @@ class TestOps(mlx_tests.MLXTestCase):
out = mx.depends(b, c)
self.assertTrue(mx.array_equal(out, b))
class TestBroadcast(mlx_tests.MLXTestCase):
def test_broadcast_shapes(self):
# Basic broadcasting
self.assertEqual(mx.broadcast_shapes((1, 2, 3), (3,)), (1, 2, 3))
@@ -3140,6 +3138,12 @@ class TestBroadcast(mlx_tests.MLXTestCase):
with self.assertRaises(ValueError):
mx.broadcast_shapes()
def test_sort_nan(self):
x = mx.array([3.0, mx.nan, 2.0, 0.0])
expected = mx.array([0.0, 2.0, 3.0, mx.nan])
self.assertTrue(mx.array_equal(mx.sort(x), expected, equal_nan=True))
x = mx.array([3.0, mx.nan, 2.0, 0.0]) + 1j * mx.array([1.0] * 4)
if __name__ == "__main__":
mlx_tests.MLXTestRunner()