Add test

jax/_src/cudnn/fused_attention_stablehlo.py

@@ -284,7 +284,7 @@ def check_eq(a, b, c, msg):
       raise ValueError(f"kv_seqlen must have same batch as Q, got {kv_seq_b}")
 
 def check_is_flash_attention(
-    query, key, layout, cudnn_version, has_bias, is_training):
+    query, key, layout: int, cudnn_version, has_bias, is_training):
   if layout == AttentionLayout.BNTH.value:
     _, _, T, H = query.shape
     _, _, S, _ = key.shape

tests/fused_attention_stablehlo_test.py

@@ -429,18 +429,27 @@ def _cvt_back(x):
 
   def test_sdpa_utils(self):
     test_cases = [
-      (1, 257, 64, 8905, False, True),
-      (1, 1024, 64, 8905, False, False),
-      (1024, 1024, 64, 8905, False, False),
-      (1024, 1024, 128, 8905, False, False),
+      (1, 257, 64, 8905, False, True, True),
+      (1, 1024, 64, 8905, False, False, True),
+      (1024, 1024, 64, 8905, False, False, True),
+      (1024, 1024, 128, 8905, False, False, True),
+      (1024, 1024, 127, 8905, False, False, False),
     ]
 
     for k in test_cases:
-      sql_q, sql_v, head_dim, cudnn_version, has_bias, is_training = k
+      sql_q, sql_v, head_dim, cudnn_version, has_bias, is_training, \
+        expected_pass = k
       query = jnp.empty((4, sql_q, 4, head_dim))
       key = jnp.empty((4, sql_v, 4, head_dim))
-      check_is_flash_attention(
-        query, key, AttentionLayout.BNTH, cudnn_version, has_bias, is_training)
+      if expected_pass:
+        check_is_flash_attention(
+          query, key, AttentionLayout.BNTH.value, cudnn_version, has_bias,
+          is_training)
+      else:
+        with self.assertRaises(NotImplementedError):
+          check_is_flash_attention(
+            query, key, AttentionLayout.BNTH.value, cudnn_version, has_bias,
+            is_training)
 
 if __name__ == "__main__":
   absltest.main(testLoader=jtu.JaxTestLoader())