Eliminate nop Convert at the beginning of the MOC pipeline

src/common/transformations/src/transformations/common_optimizations/moc_transformations.cpp

@@ -143,6 +143,7 @@ bool ov::pass::MOCTransformations::run_on_model(const std::shared_ptr<ov::Model>
     // In particular, if zero dim tensor is consumed in body of MultiSubGraphOp
     // RemoveConcatZeroDimInput and RemoveMultiSubGraphOpDanglingParamsResults should be called together.
     using namespace ov::pass;
+    REGISTER_PASS(manager, EliminateConvert)
     REGISTER_PASS(manager, EliminateScatterUpdate)
     REGISTER_PASS(manager, RemoveConcatZeroDimInput)
     REGISTER_PASS(manager, EliminateLoopInputsOutputs);

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

@@ -39,6 +39,22 @@ TEST(TransformationTests, TestModelTensorsConsistencyUseShapesTrue) {
     EXPECT_TRUE(model->outputs()[0].get_names() == new_tensors);
 }
 
+TEST(TransformationTests, MOCConvertElimination) {
+    auto input = std::make_shared<opset12::Parameter>(element::f32, Shape{1});
+    auto const_val = opset12::Constant::create(element::f32, Shape{1}, {2});
+
+    auto add1 = std::make_shared<opset12::Add>(input, const_val);
+    auto convert_fp32 = std::make_shared<opset12::Convert>(const_val, element::f32);
+    auto mul = std::make_shared<opset12::MatMul>(add1, convert_fp32);
+
+    auto model = std::make_shared<Model>(NodeVector{mul}, ParameterVector{input});
+    ov::pass::Manager m;
+    m.register_pass<ov::pass::MOCTransformations>(false);
+    m.run_passes(model);
+
+    EXPECT_EQ(count_ops_of_type<opset12::Constant>(model), 1);
+}
+
 TEST(TransformationTests, TestModelTensorsConsistencyUseShapesFalse) {
     auto input = std::make_shared<opset12::Parameter>(element::f32, Shape{1});
     auto const1 = opset12::Constant::create(element::f32, Shape{1}, {1});