AlignEltwiseInputRanks - fix when output rank is less than constant r…

…ank (openvinotoolkit#17895)

Fixes an issue when AlignEltwiseInputRanks is applied on FakeQuantize with
scalar as a first input and input/output low/high being Shape{1} constants.
In such case FakeQuantize output is still a scalar, so the difference
between output rank and input/output low/high rank is negative.

Ticket: CVS-112454

src/common/transformations/src/transformations/common_optimizations/align_eltwise_input_ranks.cpp

@@ -39,14 +39,14 @@ ov::pass::AlignEltwiseInputRanks::AlignEltwiseInputRanks() {
                 return false;
         }
 
-        const auto rank = node->get_output_partial_shape(0).size();
+        const auto rank = static_cast<int64_t>(node->get_output_partial_shape(0).size());
 
         for (size_t i = 0; i < node->get_input_size(); i++) {
             auto const_node = as_type<opset8::Constant>(node->get_input_node_ptr(i));
             if (const_node == nullptr)
                 continue;
             const auto& const_shape = const_node->get_shape();
-            auto diff = rank - const_shape.size();
+            auto diff = rank - static_cast<int64_t>(const_shape.size());
             if (diff > 0) {
                 Shape new_shape = const_shape;
                 new_shape.insert(new_shape.begin(), diff, 1);

src/common/transformations/tests/common_optimizations/align_eltwise_input_ranks.cpp

@@ -14,10 +14,10 @@ using namespace ngraph;
 
 using AlignEltwiseInputRanksParams = std::tuple<PartialShape, Shape, Shape, bool>;
 
-class AlignEltwiseInputRanksTest : public testing::WithParamInterface<AlignEltwiseInputRanksParams>,
-                                   public TransformationTestsF {};
+class AlignEltwiseInputRanksTestP : public testing::WithParamInterface<AlignEltwiseInputRanksParams>,
+                                    public TransformationTestsF {};
 
-TEST_P(AlignEltwiseInputRanksTest, FusionTest) {
+TEST_P(AlignEltwiseInputRanksTestP, FusionTest) {
     auto params = GetParam();
     const auto& input_shape = std::get<0>(params);
     auto const_shape = std::get<1>(params);
@@ -77,4 +77,20 @@ static std::vector<AlignEltwiseInputRanksParams> params = {
     AlignEltwiseInputRanksParams(Shape{}, {2, 3, 4}, {}, false),
 };
 
-INSTANTIATE_TEST_SUITE_P(TransformationTests, AlignEltwiseInputRanksTest, ::testing::ValuesIn(params));
+INSTANTIATE_TEST_SUITE_P(TransformationTests, AlignEltwiseInputRanksTestP, ::testing::ValuesIn(params));
+
+class AlignEltwiseInputRanksTestF : public TransformationTestsF {};
+
+TEST_F(AlignEltwiseInputRanksTestF, NegativeFakeQuantizeWithScalarFirstInput) {
+    {
+        auto data = op::Constant::create(element::f32, Shape{}, {10});
+        auto low = op::Constant::create(element::f32, Shape{1}, {0});
+        auto high = op::Constant::create(element::f32, Shape{1}, {20});
+        auto fq = std::make_shared<opset8::FakeQuantize>(data, low, high, low, high, 256);
+        function = std::make_shared<Function>(fq->outputs());
+
+        manager.register_pass<ov::pass::AlignEltwiseInputRanks>();
+    }
+
+    comparator.enable(FunctionsComparator::CmpValues::CONST_VALUES);
+}