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full row mask in sdpa consistently gives nan

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This commit is contained in:
Awni Hannun
2025-07-22 15:57:46 -07:00
parent d107d8d495
commit 6dd1a53956
2 changed files with 16 additions and 1 deletions
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5
mlx/fast.cpp
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@@ -708,7 +708,10 @@ array scaled_dot_product_attention(
}
if (mask.dtype() == bool_) {
scores = where(
mask, scores, array(finfo(scores.dtype()).min, scores.dtype()));
mask,
scores,
array(-std::numeric_limits<float>::infinity(), scores.dtype()),
s);
} else {
scores = add(scores, mask, s);
}

12
python/tests/test_fast_sdpa.py
View File

@@ -398,6 +398,18 @@ class TestFastSDPA(mlx_tests.MLXTestCase):
)
self.assertTrue(mx.allclose(ref, out, atol=1e-4, rtol=1e-4))
def test_fully_masked(self):
Lkv = 8
mask = mx.array(False)
for D in [4, 128]:
for Lq in [1, 8]:
q = mx.random.normal(shape=(1, 4, Lq, D))
k = mx.random.normal(shape=(1, 4, Lkv, D))
v = mx.random.normal(shape=(1, 4, Lkv, D))
out = mx.fast.scaled_dot_product_attention(q, k, v, mask=mask, scale=1)
self.assertTrue(mx.all(mx.isnan(out)))
def test_fast_sdpa_few_query(self):
D = 64
L = 43