diff --git a/inference-engine/tests/functional/shared_test_classes/include/shared_test_classes/base/layer_test_utils.hpp b/inference-engine/tests/functional/shared_test_classes/include/shared_test_classes/base/layer_test_utils.hpp
index aee92b29735..8279b497468 100644
--- a/inference-engine/tests/functional/shared_test_classes/include/shared_test_classes/base/layer_test_utils.hpp
+++ b/inference-engine/tests/functional/shared_test_classes/include/shared_test_classes/base/layer_test_utils.hpp
@@ -155,12 +155,6 @@ protected:
     float abs_threshold;
     InferenceEngine::CNNNetwork cnnNetwork;
     std::shared_ptr<InferenceEngine::Core> core;
-    // dynamic input shapes
-    std::vector<ngraph::PartialShape> inputDynamicShapes;
-    // index for targetStaticShape
-    size_t index = 0;
-    // target static input shapes which is used for reshape ngraph function & generate input blobs
-    std::vector<std::vector<ngraph::Shape>> targetStaticShapes;
 
     virtual void Validate();
 
@@ -171,7 +165,6 @@ protected:
     InferenceEngine::InferRequest inferRequest;
 
 private:
-    void ResizeNgraphFunction();
     RefMode refMode = RefMode::INTERPRETER;
 };
 
diff --git a/inference-engine/tests/functional/shared_test_classes/src/base/layer_test_utils.cpp b/inference-engine/tests/functional/shared_test_classes/src/base/layer_test_utils.cpp
index 8fad3196f25..35f351473e2 100644
--- a/inference-engine/tests/functional/shared_test_classes/src/base/layer_test_utils.cpp
+++ b/inference-engine/tests/functional/shared_test_classes/src/base/layer_test_utils.cpp
@@ -24,16 +24,6 @@ namespace LayerTestsUtils {
 LayerTestsCommon::LayerTestsCommon() : threshold(1e-2f), abs_threshold(-1.f) {
     core = PluginCache::get().ie(targetDevice);
 }
-void LayerTestsCommon::ResizeNgraphFunction() {
-    auto params = function->get_parameters();
-    std::map<std::string, ngraph::PartialShape> shapes;
-    ASSERT_LE(params.size(), targetStaticShapes[index].size());
-    for (size_t i = 0; i < params.size(); i++) {
-        shapes.insert({*params[i]->get_output_tensor(0).get_names().begin(), targetStaticShapes[index][i]});
-    }
-    function->reshape(shapes);
-    functionRefs->reshape(shapes);
-}
 
 void LayerTestsCommon::Run() {
     if (functionRefs == nullptr) {
@@ -60,27 +50,10 @@ void LayerTestsCommon::Run() {
 
     try {
         LoadNetwork();
-        size_t i = 0;
-        do {
-            index = i;
-            try {
-                if (!inputDynamicShapes.empty()) {
-                    // resize ngraph function according new target shape
-                    ResizeNgraphFunction();
-                }
-                GenerateInputs();
-                Infer();
-                Validate();
-                s.updateOPsStats(functionRefs, PassRate::Statuses::PASSED);
-            } catch (const std::exception &ex) {
-                std::string errorMessage;
-                if (!targetStaticShapes.empty()) {
-                    errorMessage = "Incorrect target static shape: " + CommonTestUtils::vec2str(targetStaticShapes[i]) + "\n";
-                }
-                errorMessage +=  ex.what();
-                THROW_IE_EXCEPTION << ex.what();
-            }
-        } while (++i < targetStaticShapes.size());
+        GenerateInputs();
+        Infer();
+        Validate();
+        s.updateOPsStats(functionRefs, PassRate::Statuses::PASSED);
     }
     catch (const std::runtime_error &re) {
         s.updateOPsStats(functionRefs, PassRate::Statuses::FAILED);
@@ -364,22 +337,6 @@ void LayerTestsCommon::ConfigureNetwork() {
             out.second->setPrecision(outPrc);
         }
     }
-
-    // Reshape CNNNetwork before load to the plugin in dynamic scenario
-    if (!inputDynamicShapes.empty()) {
-        auto params = function->get_parameters();
-        std::map<std::string, ngraph::PartialShape> inputDataMap;
-        ASSERT_EQ(params.size(), inputDynamicShapes.size());
-        for (size_t i = 0; i < inputDynamicShapes.size(); i++) {
-            ngraph::PartialShape dynamicShape = inputDynamicShapes[i];
-            if (dynamicShape.rank() == 0 && dynamicShape.is_static()) {
-                continue;
-            }
-            std::string inputName = params[i]->get_friendly_name();
-            inputDataMap.insert({inputName, dynamicShape});
-        }
-        cnnNetwork.reshape(inputDataMap);
-    }
 }
 
 void LayerTestsCommon::LoadNetwork() {
@@ -398,21 +355,7 @@ void LayerTestsCommon::GenerateInputs() {
         const auto infoIt = inputsInfo.find(param->get_friendly_name());
         GTEST_ASSERT_NE(infoIt, inputsInfo.cend());
         InferenceEngine::InputInfo::CPtr info = infoIt->second;
-        InferenceEngine::Blob::Ptr blob = nullptr;
-        if (!inputDynamicShapes.empty()) {
-            if (inputDynamicShapes[i].rank() != 0) {
-                InferenceEngine::DataPtr dataNew(
-                        new InferenceEngine::Data(infoIt->first, info->getTensorDesc().getPrecision(),
-                                                  targetStaticShapes[index][i],
-                                                  info->getTensorDesc().getLayout()));
-                InferenceEngine::InputInfo infoNew;
-                infoNew.setInputData(dataNew);
-                blob = GenerateInput(infoNew);
-            }
-        }
-        if (blob == nullptr) {
-            blob = GenerateInput(*info);
-        }
+        InferenceEngine::Blob::Ptr blob = GenerateInput(*info);
         inputs.push_back(blob);
     }
 }