Eliminate makeInputLayer usage

openvinotoolkit · Aug 8, 2023 · c4e1339 · c4e1339
1 parent f0d44a3
commit c4e1339
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Showing 3 changed files with 21 additions and 17 deletions.
diff --git a/...s/functional/shared_tests_instances/single_layer_tests/convolution_biasadd_activation.hpp b/...s/functional/shared_tests_instances/single_layer_tests/convolution_biasadd_activation.hpp
@@ -120,8 +120,7 @@ class BasicConvolutionBiasAddActivationLayerTest
         for (size_t i = 0; i < biasShape.size(); ++i) {
             if (i != channel_dim_index) biasShape[i] = 1;
         }
-        auto biasLayer =
-            ngraph::builder::makeInputLayer(ngNetPrc, ngraph::helpers::InputLayerType::CONSTANT, biasShape);
+        auto biasLayer = std::make_shared<ov::op::v0::Constant>(ngNetPrc, biasShape);
 
         auto biasAddLayer = ngraph::builder::makeEltwise(convLayer, biasLayer, ngraph::helpers::EltwiseTypes::ADD);
 

diff --git a/...dia_plugin/tests/functional/shared_tests_instances/single_layer_tests/fully_connected.cpp b/...dia_plugin/tests/functional/shared_tests_instances/single_layer_tests/fully_connected.cpp
@@ -85,13 +85,14 @@ class FullyConnectedLayerTest : public testing::WithParamInterface<FullyConnecte
         auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
         auto params = ngraph::builder::makeParams(ngPrc, {shapeRelatedParams.input1.first});
 
-        auto secondaryInput =
-            ngraph::builder::makeInputLayer(ngPrc, secondaryInputType, shapeRelatedParams.input2.first);
+        std::shared_ptr<ov::Node> secondaryInput;
         if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
-            params.push_back(std::dynamic_pointer_cast<ov::op::v0::Parameter>(secondaryInput));
+            secondaryInput = std::make_shared<ov::op::v0::Parameter>(ngPrc, ov::Shape(shapeRelatedParams.input2.first));
+            params.push_back(std::static_pointer_cast<ov::op::v0::Parameter>(secondaryInput));
+        } else {
+            secondaryInput = std::make_shared<ov::op::v0::Constant>(ngPrc, shapeRelatedParams.input2.first);
         }
-        auto thirdInput = ngraph::builder::makeInputLayer(
-            ngPrc, ngraph::helpers::InputLayerType::CONSTANT, shapeRelatedParams.input3);
+        auto thirdInput = std::make_shared<ov::op::v0::Constant>(ngPrc, shapeRelatedParams.input3);
         auto paramOuts =
             ngraph::helpers::convert2OutputVector(ngraph::helpers::castOps2Nodes<ov::op::v0::Parameter>(params));
         auto MatMul = std::dynamic_pointer_cast<ov::op::v0::MatMul>(ngraph::builder::makeMatMul(
@@ -191,15 +192,21 @@ class FullyConnectedLayer2MatMulTest : public testing::WithParamInterface<FullyC
         auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
         auto params = ngraph::builder::makeParams(
             ngPrc, {shapeRelatedParams.matmul1_input1.first, shapeRelatedParams.matmul2_input1.first});
-        auto matmul0SecondaryInput =
-            ngraph::builder::makeInputLayer(ngPrc, secondaryInputType, shapeRelatedParams.matmul1_input2.first);
+
+        std::shared_ptr<ov::Node> matmul0SecondaryInput;
         if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
-            params.push_back(std::dynamic_pointer_cast<ov::op::v0::Parameter>(matmul0SecondaryInput));
+            matmul0SecondaryInput = std::make_shared<ov::op::v0::Parameter>(ngPrc, ov::Shape(shapeRelatedParams.matmul1_input2.first));
+            params.push_back(std::static_pointer_cast<ov::op::v0::Parameter>(matmul0SecondaryInput));
+        } else {
+            matmul0SecondaryInput = std::make_shared<ov::op::v0::Constant>(ngPrc, shapeRelatedParams.matmul1_input2.first);
         }
-        auto matmul1SecondaryInput =
-            ngraph::builder::makeInputLayer(ngPrc, secondaryInputType, shapeRelatedParams.matmul2_input2.first);
+
+        std::shared_ptr<ov::Node> matmul1SecondaryInput;
         if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
-            params.push_back(std::dynamic_pointer_cast<ov::op::v0::Parameter>(matmul1SecondaryInput));
+            matmul1SecondaryInput = std::make_shared<ov::op::v0::Parameter>(ngPrc, ov::Shape(shapeRelatedParams.matmul1_input2.first));
+            params.push_back(std::static_pointer_cast<ov::op::v0::Parameter>(matmul1SecondaryInput));
+        } else {
+            matmul1SecondaryInput = std::make_shared<ov::op::v0::Constant>(ngPrc, shapeRelatedParams.matmul1_input2.first);
         }
 
         auto paramOuts =

diff --git a/modules/nvidia_plugin/tests/unit/test_networks.hpp b/modules/nvidia_plugin/tests/unit/test_networks.hpp
@@ -9,14 +9,13 @@
 #include <ngraph_functions/utils/ngraph_helpers.hpp>
 
 inline std::shared_ptr<ngraph::Function> CreateMatMulTestNetwork() {
-    ngraph::helpers::InputLayerType secondaryInputType = ngraph::helpers::InputLayerType::CONSTANT;
     auto netPrecision = InferenceEngine::Precision::FP32;
     std::map<std::string, std::string> additionalConfig;
 
     auto ngPrc = InferenceEngine::details::convertPrecision(netPrecision);
     auto params = ngraph::builder::makeParams(ngPrc, {{3, 2, 10, 10}});
 
-    auto secondaryInput = ngraph::builder::makeInputLayer(ngPrc, secondaryInputType, {3, 2, 10, 20});
+    auto secondaryInput = std::make_shared<ov::op::v0::Constant>(ngPrc, ov::Shape{3, 2, 10, 20});
     auto paramOuts =
         ngraph::helpers::convert2OutputVector(ngraph::helpers::castOps2Nodes<ov::op::v0::Parameter>(params));
     auto MatMul = std::dynamic_pointer_cast<ov::op::v0::MatMul>(
@@ -63,14 +62,13 @@ class SuperDummyOp : public ov::op::Op {
 };
 
 inline std::shared_ptr<ngraph::Function> CreateSuperOperationTestNetwork() {
-    ngraph::helpers::InputLayerType secondaryInputType = ngraph::helpers::InputLayerType::CONSTANT;
     auto netPrecision = InferenceEngine::Precision::FP32;
     std::map<std::string, std::string> additionalConfig;
 
     auto ngPrc = InferenceEngine::details::convertPrecision(netPrecision);
     auto params = ngraph::builder::makeParams(ngPrc, {{3, 2, 10, 10}});
 
-    auto secondaryInput = ngraph::builder::makeInputLayer(ngPrc, secondaryInputType, {3, 2, 10, 20});
+    auto secondaryInput = std::make_shared<ov::op::v0::Constant>(ngPrc, ov::Shape{3, 2, 10, 20});
     auto paramOuts =
         ngraph::helpers::convert2OutputVector(ngraph::helpers::castOps2Nodes<ov::op::v0::Parameter>(params));
     auto superOp = std::make_shared<SuperDummyOp>(paramOuts[0], secondaryInput);