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Update attention tests to show diff, disable array masks (#1978)

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Jagrit Digani 2025-03-20 14:25:38 -07:00 committed by GitHub
parent 9adcd1a650
commit b42d13ec84
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2 changed files with 6 additions and 7 deletions
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4
mlx/fast.cpp
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@ -748,8 +748,8 @@ array scaled_dot_product_attention(
(query_head_dim == 64 || query_head_dim == 80 || query_head_dim == 128);
const bool sdpa_vector_supported_mask = (!has_mask || has_bool_mask);
const bool sdpa_full_supported_mask = !has_mask || has_arr_mask ||
(query_sequence_length <= key_sequence_length && do_causal);
const bool sdpa_full_supported_mask =
!has_mask || (query_sequence_length <= key_sequence_length && do_causal);
const bool supports_sdpa_full = query_sequence_length >= threshold &&
sdpa_full_supported_mask && sdpa_full_supported_head_dim &&

9
python/tests/test_fast_sdpa.py
View File

@ -72,8 +72,8 @@ def prepare_inputs(B, qL, kL, D, qH, kH, mask, transpose, dtype):
scale = 1.0 / math.sqrt(D)
q_np = np.random.normal(0.0, 1.0, shape_q).astype(np_dtype)
k_np = np.random.normal(0.0, scale, shape_kv).astype(np_dtype)
q_np = np.random.normal(0.0, 0.5, shape_q).astype(np_dtype)
k_np = np.random.normal(0.0, 0.5, shape_kv).astype(np_dtype)
v_np = np.random.normal(0.0, scale, shape_kv).astype(np_dtype)
q_mx = mx.array(q_np)
@ -524,9 +524,8 @@ class TestSDPA(mlx_tests.MLXTestCase):
list(out_ref.shape), list(out_fst.shape)
)
self.assertTrue(
mx.allclose(out_fst, out_ref, atol=atol, rtol=atol)
)
diff = mx.abs(out_fst - out_ref) - atol * mx.abs(out_ref)
self.assertLessEqual(mx.max(diff).item(), atol)
if __name__ == "__main__":