clang

evkotov · evkotov · commit 5e8c8337f5f9 · 2026-03-16T13:29:32.000+01:00
diff --git a/src/common/transformations/tests/op_conversions/scaled_dot_product_decomposition_test.cpp b/src/common/transformations/tests/op_conversions/scaled_dot_product_decomposition_test.cpp
@@ -389,12 +389,8 @@ TEST_F(TransformationTestsF, ScaledDotProductAttentionDecomposition_PreScaledQue
 
     {
         // Expected: scale applied to K^T (always, unconditionally)
-        auto ref = scaled_dot_product_attention_decomposition(query_prescaled,
-                                                              key,
-                                                              value,
-                                                              attention_mask,
-                                                              sdpa_scale,
-                                                              casual);
+        auto ref =
+            scaled_dot_product_attention_decomposition(query_prescaled, key, value, attention_mask, sdpa_scale, casual);
         model_ref =
             std::make_shared<ov::Model>(OutputVector{ref}, ParameterVector{raw_query, key, value, attention_mask});
     }
@@ -426,8 +422,7 @@ TEST_F(TransformationTestsF, ScaledDotProductAttentionDecomposition_Sinks) {
     }
 
     {
-        auto ref =
-            scaled_dot_product_attention_decomposition(query, key, value, attention_mask, scale, casual, sinks);
+        auto ref = scaled_dot_product_attention_decomposition(query, key, value, attention_mask, scale, casual, sinks);
         model_ref = std::make_shared<ov::Model>(OutputVector{ref},
                                                 ParameterVector{query, key, value, attention_mask, scale, sinks});
     }

Original file line number	Diff line number	Diff line change
`@@ -389,12 +389,8 @@ TEST_F(TransformationTestsF, ScaledDotProductAttentionDecomposition_PreScaledQue`
`389`	`389`
`390`	`390`	`{`
`391`	`391`	`// Expected: scale applied to K^T (always, unconditionally)`
`392`		`- auto ref = scaled_dot_product_attention_decomposition(query_prescaled,`
`393`		`- key,`
`394`		`- value,`
`395`		`- attention_mask,`
`396`		`- sdpa_scale,`
`397`		`- casual);`
	`392`	`+ auto ref =`
	`393`	`+ scaled_dot_product_attention_decomposition(query_prescaled, key, value, attention_mask, sdpa_scale, casual);`
`398`	`394`	`model_ref =`
`399`	`395`	`std::make_shared<ov::Model>(OutputVector{ref}, ParameterVector{raw_query, key, value, attention_mask});`
`400`	`396`	`}`
`@@ -426,8 +422,7 @@ TEST_F(TransformationTestsF, ScaledDotProductAttentionDecomposition_Sinks) {`
`426`	`422`	`}`
`427`	`423`
`428`	`424`	`{`
`429`		`- auto ref =`
`430`		`- scaled_dot_product_attention_decomposition(query, key, value, attention_mask, scale, casual, sinks);`
	`425`	`+ auto ref = scaled_dot_product_attention_decomposition(query, key, value, attention_mask, scale, casual, sinks);`
`431`	`426`	`model_ref = std::make_shared<ov::Model>(OutputVector{ref},`
`432`	`427`	`ParameterVector{query, key, value, attention_mask, scale, sinks});`
`433`	`428`	`}`