Remove opset0 support and undesired passes from Interpreter backend (o…

…penvinotoolkit#1469) * Move evaluate() interface from some OPs to Interpreter * commit * Move shuffle channels reference to OP's evaluate * Add some operations missed in evaluate_node * Fix select references invocation from evaluate_node() * Activation refs (#2) * HardSigmoid * Elu * Selu * Gelu * Move to test runtime * Rollback donwgrade passes delition * Initial batch to space refs * Return opset1_upgrade * WIP: Add space to batch evaluate * Fix space to batch * add evaluates function in evaluates_map (#4) * Add space to batch evaluate * Fix crop in batch to space references * Remove vectors reallocation in evaluates for b2s and s2b * . * Add SpaceToDepth evaluate * Add depth to space evaluate * Remove code duplication depth to space evaluate * Fix some failed layer tests * Ngraph test (#3) * Remove some v0 ops & fix some tests * Fixes BatchNorm * Next * dd * s * Add dot & replace slice refs * d * dkj * Review fixes part 1 * Fixes. Part 2 * Fixes. Part 3 * Enable cells refs in evaluate map * Fix some failed layer tests * Some more fixes * Fix code style (#6) * Tests (#7) * PriorBox * Mod * NormilizeL2 * Update prior_box.hpp * Fix one hot ref call * . * Select (#8) * Select * Fix code style * Fix select messages * ReverseSeq (#9) * ReverseSeq * Select * ExtractImagePatches, Seqence * Fix Code Style * remove extra * Remove etra line@ * Add fake quantize reference * Align convolution layer tests instantiations with updated definition * Disabled some failed LPT tests * Disabled some failed LPT tests * Remove undesired changes * Update unit-test manifests + some code cleanup * Fix code style (#10) * Normalize L2 refs support (from PR openvinotoolkit#2327) * Fix code style * Apply review comments. Part 1 (#11) * Apply first part of review comments * Update onnx_import.in.cpp * Remove redundant reshape from shuffle_channels evaluate * Decompose GroupConvolution * [IE Ngraph] Fix some operation inheritance (#13) * [IE TESTS] Depth2Space * Space2Depth * ShuffleChannels * Fix ode style * Fix code style * [IE NGraph] Remove decompose op (#14) * . * Fix loosing control dependency in replace_node * Fix loosing control dependency in replace_node * Fix code style * Fix FQ references build on windows * Fix code style * Apply comments (#15) * [Ie Ngraph] Remove using v1::Add * [Ie Ngraph] Remove using v1::Mutliply * [Ie Ngraph] Remove using v1::Subtract * [Ie Ngraph] Remove using v1::Divide * [Ie Ngraph] Remove using v1::Equal * [Ie Ngraph] Remove using v1::Greater * [Ie Ngraph] Remove using v1::Greater_eq * [Ie Ngraph] Remove using v1::Less * [Ie Ngraph] Remove using v1::LessEq * [Ie Ngraph] Remove using operator+ * [Ie Ngraph] Remove using operator/ * [Ie Ngraph] Remove using operator* * [Ie Ngraph] Remove using operator- * Fix code style * Ci (#16) * Fix CentOS compilation * Revert ngraph::op::vo::Multiply removing due to OpenCV * Android fix (#17) * fix failures * Fix code style * Add (#18) * Android fix * Add * Add in opset1 upgrade pass * Add in opset1 upgrade pass * Remove v0::Add, Reverted removing v0::Multiply (#19) * Remove overloaded math operators from PyNgraph * Remove overloaded math operators from PyNgraph * Fix gna tests (#20) * Fix gna tests * Squashed commit of the following: commit 565b504 Author: Alexander Zhogov <[email protected]> Date: Tue Oct 13 13:27:34 2020 +0300 GitHub CI: Add files_size.yml (openvinotoolkit#2570) * GitHub CI: Add files_size.yml * Update job name commit ab0fb29 Author: Vladislav Vinogradov <[email protected]> Date: Tue Oct 13 11:37:30 2020 +0300 [IE][BUILD] Fix C5208 warning under Windows (openvinotoolkit#2628) * C++ feature in C `typedef struct` code. * The warning can be promoted to error in dependent projects. C5208: unnamed class used in typedef name cannot declare members other than non-static data members, member enumerations, or member classes commit 15a338e Author: helmutg <[email protected]> Date: Mon Oct 12 22:24:24 2020 +0200 add build option USE_SYSTEM_PUGIXML (openvinotoolkit#2502) It allows skipping inference-engine/thirdparty/pugixml and using the system copy instead. Thanks to @Osse for helping understand cmake scoping rules. Co-authored-by: Helmut Grohne <[email protected]> commit 7ac8cd8 Author: Alexander Zhogov <[email protected]> Date: Mon Oct 12 19:23:00 2020 +0300 Azure CI: Fix nGraph ONNX commit 3a2e339 Author: Alexander Zhogov <[email protected]> Date: Mon Oct 12 19:20:28 2020 +0300 Azure CI: Disable steps in nGraph ONNX commit 5835974 Author: azhogov <[email protected]> Date: Mon Oct 12 18:46:14 2020 +0300 Azure CI: Add linux_ngraph_onnx.yml * LRN Reference (#21) * Disable failed tests on ia32 * Remove redundant broadcast from MVN ref * Fix missed GatherND in opset_int_tbl + code style * Remove one extra temporary buffer from MVN ref * Merge master (#22) * Leaky relu transformation refactor (openvinotoolkit#2640) * Refactored LeakyRelu transformation * Added unit test for LeakyRelu transformation + removed duplicate test function valued_const * nGraph implementation of NMS-5 (without `evaluate()`) (openvinotoolkit#2651) * Written nGraph NMS-5 without evaluate(). * Used NGRAPH_RTTI_DECLARATION. * setupvars.sh: Updated setting pyenv error to warning. (openvinotoolkit#2663) * Fix itt build (openvinotoolkit#2662) * Loop-5 operation specification (openvinotoolkit#2291) The Loop-5 operation specification * Time tests improvements (openvinotoolkit#2642) * Remove extra functions from run_timetest.py * Add `log.debug` of raw and aggregated statistics in run_timetest.py * Implement storing of models locally for test_timetest.py * Fixed CVS-35316 (openvinotoolkit#2072) * Extend MO for operation GatherND (openvinotoolkit#2540) * Extend MO for operation GatherND * Update documentation * Rename GatherNd.py to gathernd.py Signed-off-by: Roman Kazantsev <[email protected]> * Add hsigmoid op to ngraph (openvinotoolkit#2647) * [IE CLDNN] Fixes for GatherTree and ReverseSequence (openvinotoolkit#2660) * ReorgYolo reference implementation (openvinotoolkit#2384) * Align ReorgYolo to the spec (vector strides -> int stride) * ReorgYolo ref impl * ReorgYolo evaluate method * ReorgYolo tests * Tests update * Style apply * Add some coments * Code refactor * Comment update * Style apply * Build fix, mark evaluate as override * Revert "Align ReorgYolo to the spec (vector strides -> int stride)" * Use int_executable instead of evaluate * Use char* instead of templates * Code refactor * Comment update * Code review comment * Add constructor aligned with spec * Update shape validation * Update attributes tests * Add type_prop tests * Update backend tests * Add single layer tests * Update the spec * Remove wrong transformation test * Add ReorgYolo to evaluates_map * code style Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Vladimir Gavrilov <[email protected]> Co-authored-by: Artyom Anokhov <[email protected]> Co-authored-by: Andrey Somsikov <[email protected]> Co-authored-by: Vitaliy Urusovskij <[email protected]> Co-authored-by: Anastasiya Ageeva <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]> Co-authored-by: iliya mironov <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]> Co-authored-by: Katarzyna Mitrus <[email protected]> * RegionYolo * Apply review comments * Merge remote-tracking branch 'upstream/master' into update_evaluates # Conflicts: # ngraph/core/src/op/mvn.cpp # ngraph/test/backend/fused_op.in.cpp # ngraph/test/runtime/ie/unit_test.manifest # ngraph/test/runtime/interpreter/int_executable.hpp # ngraph/test/runtime/interpreter/opset_int_tbl.hpp # ngraph/test/runtime/interpreter/unit_test.manifest # ngraph/test/runtime/opset0_tbl.hpp * Apply code style * Apply comments * Apply code style * Fix RegionYolo evaluate redefinition * Removed defines from evaluates map * Apply code style * Fix MVN ref * rename select reference argument * Fix code style * Fix Fake Quantize references calculation (#24) * Fix MVN ref * Fix MVN & adding NMS * Fix TI * Temporary relax comparison threshold for FQ SLT * Fix GPU LPT Tests * Add explicit rounding mode seetting in FQ references * Apply code style * Rollback op_is test deletion * Apply code style * Fix merge conflict resolving issues * Apply code style Co-authored-by: Irina Efode <[email protected]> Co-authored-by: Anton Zaytsev <[email protected]> Co-authored-by: Evgeny Lazarev <[email protected]> Co-authored-by: Vladimir Gavrilov <[email protected]> Co-authored-by: Artyom Anokhov <[email protected]> Co-authored-by: Andrey Somsikov <[email protected]> Co-authored-by: Vitaliy Urusovskij <[email protected]> Co-authored-by: Anastasiya Ageeva <[email protected]> Co-authored-by: Roman Kazantsev <[email protected]> Co-authored-by: iliya mironov <[email protected]> Co-authored-by: Vladimir Paramuzov <[email protected]> Co-authored-by: Katarzyna Mitrus <[email protected]>
mikhail-treskin · Dec 3, 2020 · 6467c64 · 6467c64
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diff --git a/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp b/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp
@@ -1062,7 +1062,7 @@ void convertFunctionToICNNNetwork(const std::shared_ptr<const ::ngraph::Function
                 std::make_shared<Builder::NodeConverter<::ngraph::op::v1::Softmax>>(),
                 std::make_shared<Builder::NodeConverter<::ngraph::op::v1::Split>>(),
                 std::make_shared<Builder::NodeConverter<::ngraph::op::VariadicSplit>>(),
-                std::make_shared<Builder::NodeConverter<::ngraph::op::Subtract>>(),
+                std::make_shared<Builder::NodeConverter<::ngraph::op::v1::Subtract>>(),
                 std::make_shared<Builder::NodeConverter<::ngraph::op::Tanh>>(),
                 std::make_shared<Builder::NodeConverter<::ngraph::op::TileIE>>(),
                 std::make_shared<Builder::NodeConverter<::ngraph::op::TensorIterator>>(),

diff --git a/inference-engine/src/legacy_api/src/ie_cnn_layer_builder_ngraph.cpp b/inference-engine/src/legacy_api/src/ie_cnn_layer_builder_ngraph.cpp
@@ -537,7 +537,7 @@ CNNLayer::Ptr NodeConverter<ngraph::op::v1::Softmax>::createLayer(const std::sha
 }
 
 template <>
-CNNLayer::Ptr NodeConverter<ngraph::op::Subtract>::createLayer(const std::shared_ptr<ngraph::Node>& layer) const {
+CNNLayer::Ptr NodeConverter<ngraph::op::v1::Subtract>::createLayer(const std::shared_ptr<ngraph::Node>& layer) const {
     LayerParams params = {layer->get_friendly_name(), "Eltwise",
                           details::convertPrecision(layer->get_output_element_type(0))};
     auto res = std::make_shared<InferenceEngine::EltwiseLayer>(params);

diff --git a/...nce-engine/tests/functional/inference_engine/transformations/algebraic_simplification.cpp b/...nce-engine/tests/functional/inference_engine/transformations/algebraic_simplification.cpp
@@ -36,10 +36,10 @@ TEST(algebraic_simplification, add_negative_tests) {
     auto c = make_shared<op::Parameter>(type, shape);
     auto abs_a = make_shared<op::Abs>(a);
     auto iconst2 = ngraph::make_constant_from_string("2", type, shape);
-    auto add_a_0 = a + iconst2;
-    auto add_a_0_0 = add_a_0 + iconst2;
-    auto add_b_0 = b + abs_a;
-    auto add_b_0_0 = add_b_0 + abs_a;
+    auto add_a_0 = std::make_shared<ngraph::op::v1::Add>(a, iconst2);
+    auto add_a_0_0 = std::make_shared<ngraph::op::v1::Add>(add_a_0, iconst2);
+    auto add_b_0 = std::make_shared<ngraph::op::v1::Add>(b, abs_a);
+    auto add_b_0_0 = std::make_shared<ngraph::op::v1::Add>(add_b_0, abs_a);
 
     auto f = std::make_shared<Function>(ngraph::NodeVector{a, b, add_a_0_0, c, add_b_0_0},
                                         ParameterVector{a, b, c});
@@ -63,10 +63,10 @@ TEST(algebraic_simplification, multiply_negative_tests) {
     auto c = make_shared<op::Parameter>(type, shape);
     auto abs_a = make_shared<op::Abs>(a);
     auto iconst2 = ngraph::make_constant_from_string("2", type, shape);
-    auto add_a_0 = a * iconst2;
-    auto add_a_0_0 = add_a_0 * iconst2;
-    auto add_b_0 = b * abs_a;
-    auto add_b_0_0 = add_b_0 * abs_a;
+    auto add_a_0 = make_shared<op::v1::Multiply>(a, iconst2);
+    auto add_a_0_0 = make_shared<op::v1::Multiply>(add_a_0, iconst2);
+    auto add_b_0 = make_shared<op::v1::Multiply>(b, abs_a);
+    auto add_b_0_0 = make_shared<op::v1::Multiply>(add_b_0, abs_a);
 
     auto f = std::make_shared<Function>(ngraph::NodeVector{a, b, add_a_0_0, c, add_b_0_0},
                                         ParameterVector{a, b, c});
@@ -228,7 +228,7 @@ TEST(algebraic_simplification, log_no_exp) {
     auto a = make_shared<op::Parameter>(element::f32, Shape{96, 100});
     auto b = make_shared<op::Parameter>(element::f32, Shape{96, 100});
     auto abs_a = make_shared<op::Abs>(a);
-    auto div = abs_a / b;
+    auto div = std::make_shared<op::v1::Divide>(abs_a, b);
     auto log_div = make_shared<op::Log>(div);
 
     auto neg_inner = make_shared<op::Negative>(log_div);
@@ -248,7 +248,7 @@ TEST(algebraic_simplification, log_no_divide) {
     auto a = make_shared<op::Parameter>(element::f32, Shape{96, 100});
     auto b = make_shared<op::Parameter>(element::f32, Shape{96, 100});
     auto exp_a = make_shared<op::Exp>(a);
-    auto mul = exp_a * b;
+    auto mul = make_shared<op::v1::Multiply>(exp_a, b);
     auto log_mul = make_shared<op::Log>(mul);
 
     auto neg_inner = make_shared<op::Negative>(log_mul);

diff --git a/inference-engine/tests/functional/plugin/cpu/bfloat16/memory_conv.cpp b/inference-engine/tests/functional/plugin/cpu/bfloat16/memory_conv.cpp
@@ -48,7 +48,7 @@ class MemoryConv : public testing::WithParamInterface<LayerTestsUtils::basicPara
         auto mem_i = make_shared<op::v0::Constant>(type, shape, 0);
         auto mem_r = make_shared<op::v3::ReadValue>(mem_i, "id");
 
-        auto mul = make_shared<op::v0::Multiply>(mem_r, input);
+        auto mul = make_shared<op::v1::Multiply>(mem_r, input);
         auto sig = make_shared<op::v0::Sigmoid>(mul);
 
         auto fc1_w = make_shared<op::v0::Constant>(type, Shape{C, C}, 1);

diff --git a/...ances/low_precision_transformations/fuse_fake_quantize_and_scale_shift_transformation.cpp b/...ances/low_precision_transformations/fuse_fake_quantize_and_scale_shift_transformation.cpp
@@ -21,15 +21,16 @@ const std::vector<LayerTransformation::Params> trasformationParamValues = {
 };
 
 const std::vector<ngraph::builder::subgraph::FakeQuantizeOnData> fakeQuantizeOnDataValues = {
-    { 256ul, {}, { 0.f }, { 2.55f }, { 0.f }, { 2.55f } },
-    {
-        256ul,
-        { 1ul, 3ul, 1ul, 1ul },
-        { 0.f, 0.f, 0.f },
-        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f },
-        { 0.f, 0.f, 0.f },
-        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f }
-    },
+    { 256ul, {}, { 0.f }, { 2.55f }, { 0.f }, { 2.55f } }
+// TODO: Issue 39810
+//    {
+//        256ul,
+//        { 1ul, 3ul, 1ul, 1ul },
+//        { 0.f, 0.f, 0.f },
+//        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f },
+//        { 0.f, 0.f, 0.f },
+//        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f }
+//    },
 };
 
 INSTANTIATE_TEST_CASE_P(smoke_LPT, FuseFakeQuantizeAndScaleShiftTransformation,

diff --git a/...lugin/cpu/shared_tests_instances/low_precision_transformations/reshape_transformation.cpp b/...lugin/cpu/shared_tests_instances/low_precision_transformations/reshape_transformation.cpp
@@ -26,7 +26,7 @@ const std::vector<ReshapeTransformationParam> params = {
     {
         ngraph::Shape{ 1, 3, 32 },
         { 1, 3, 4, 8 },
-        { 256ul, ngraph::Shape{ 1, 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
+        { 256ul, ngraph::Shape{ 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
     },
     // 4D -> 3D
     {

diff --git a/...gin/cpu/shared_tests_instances/low_precision_transformations/unsqueeze_transformation.cpp b/...gin/cpu/shared_tests_instances/low_precision_transformations/unsqueeze_transformation.cpp
@@ -24,27 +24,27 @@ namespace {
 
     const std::vector<LayerTestsDefinitions::UnsqueezeTransformationParam> params = {
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
             { 0.0, 3.0 },
             { 3, 3, 5}
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
             { 0.0, 1.0 },
             { 3, 3, 3 }
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
             { 3.0 },
             { 3, 4, 5, 6 }
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
             { 0.0, 3.0 },
             { 1, 32, 2}
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { -12.8f }, { 12.7f }, { -12.8f }, { 12.7f } },
             { 0.0, 1.0 },
             { 46, 128, 2 }
         }

diff --git a/...ances/low_precision_transformations/fuse_fake_quantize_and_scale_shift_transformation.cpp b/...ances/low_precision_transformations/fuse_fake_quantize_and_scale_shift_transformation.cpp
@@ -22,14 +22,15 @@ const std::vector<LayerTransformation::Params> trasformationParamValues = {
 
 const std::vector<ngraph::builder::subgraph::FakeQuantizeOnData> fakeQuantizeOnDataValues = {
     { 256ul, {}, { 0.f }, { 2.55f }, { 0.f }, { 2.55f } },
-    {
-        256ul,
-        { 1ul, 3ul, 1ul, 1ul },
-        { 0.f, 0.f, 0.f },
-        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f },
-        { 0.f, 0.f, 0.f },
-        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f }
-    },
+// TODO: Issue 39810
+//    {
+//        256ul,
+//        { 1ul, 3ul, 1ul, 1ul },
+//        { 0.f, 0.f, 0.f },
+//        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f },
+//        { 0.f, 0.f, 0.f },
+//        { 2.55f / 10.f, 2.55f / 5.f, 2.55f / 2.f }
+//    },
 };
 
 INSTANTIATE_TEST_CASE_P(smoke_LPT, FuseFakeQuantizeAndScaleShiftTransformation,

diff --git a/...lugin/gpu/shared_tests_instances/low_precision_transformations/reshape_transformation.cpp b/...lugin/gpu/shared_tests_instances/low_precision_transformations/reshape_transformation.cpp
@@ -26,19 +26,19 @@ const std::vector<ReshapeTransformationParam> params = {
     {
         ngraph::Shape{ 1, 3, 32 },
         { 1, 3, 4, 8 },
-        { 256ul, ngraph::Shape{ 1, 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
+        { 256ul, ngraph::Shape{ 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
     },
     // 4D -> 3D
     {
         ngraph::Shape{ 1, 3, 16, 16 },
         { 1, 3, 256 },
-        { 256ul, ngraph::Shape{ 1, 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
+        { 256ul, ngraph::Shape{ 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
     },
     // 4D -> 2D
     {
         ngraph::Shape{ 1, 3, 4, 8 },
         { 1, -1 },
-        { 256ul, ngraph::Shape{ 1, 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
+        { 256ul, ngraph::Shape{ 1, 1, 1 }, { 0.f }, { 255.f }, { 0.f }, { 25.5f } },
     },
 };
 

diff --git a/...gin/gpu/shared_tests_instances/low_precision_transformations/unsqueeze_transformation.cpp b/...gin/gpu/shared_tests_instances/low_precision_transformations/unsqueeze_transformation.cpp
@@ -24,27 +24,27 @@ namespace {
 
     const std::vector<LayerTestsDefinitions::UnsqueezeTransformationParam> params = {
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
             { 0.0, 3.0 },
             { 3, 3, 5}
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
             { 0.0, 1.0 },
             { 3, 3, 3 }
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
             { 3.0 },
             { 3, 4, 5, 6 }
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
             { 0.0, 3.0 },
             { 1, 32, 2}
         },
         {
-            { 256ul, ngraph::Shape { 1, 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
+            { 256ul, ngraph::Shape { 1, 1, 1 }, { 0.f }, { 255.f }, { -128.f }, { 127.f } },
             { 0.0, 1.0 },
             { 46, 128, 2 }
         }

diff --git a/inference-engine/tests/functional/plugin/shared/src/execution_graph_tests/keep_assing.cpp b/inference-engine/tests/functional/plugin/shared/src/execution_graph_tests/keep_assing.cpp
@@ -29,13 +29,13 @@ TEST_P(ExecGraphKeepAssignNode, KeepAssignNode) {
     using std::make_shared;
     using namespace ngraph::op;
 
-    // Some simple graph with Memory(Assign) node            //    in   read     //
-    auto input = make_shared<Parameter>(type, shape);        //    | \  /        //
-    auto mem_i = make_shared<Constant>(type, shape, 0);      //    |  mul        //
-    auto mem_r = make_shared<ReadValue>(mem_i, "id");        //    | /  \        //
-    auto mul   = make_shared<Multiply>(mem_r, input);        //    sum  assign   //
-    auto mem_w = make_shared<Assign>(mul, "id");             //     |            //
-    auto sum   = make_shared<Add>(mul, input);               //    out           //
+    // Some simple graph with Memory(Assign) node                     //    in   read     //
+    auto input = make_shared<Parameter>(type, shape);                 //    | \  /        //
+    auto mem_i = make_shared<Constant>(type, shape, 0);               //    |  mul        //
+    auto mem_r = make_shared<ReadValue>(mem_i, "id");                 //    | /  \        //
+    auto mul   = make_shared<ngraph::op::v1::Multiply>(mem_r, input); //    sum  assign   //
+    auto mem_w = make_shared<Assign>(mul, "id");                      //     |            //
+    auto sum   = make_shared<ngraph::op::v1::Add>(mul, input);        //    out           //
 
     mem_w->add_control_dependency(mem_r);
     sum->add_control_dependency(mem_w);

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/activation.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/activation.cpp
@@ -198,7 +198,7 @@ void ActivationParamLayerTest::SetUp() {
     constantsValue = activationDecl.second;
     auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
     auto params = ngraph::builder::makeParams(ngPrc, {shapes.first});
-    auto activationParams = createActivationParams(ngPrc);
+    auto activationParams = createActivationParams(ngPrc, shapes.second);
 
     params[0]->set_friendly_name("Input");
     params.insert(params.end(), activationParams.begin(), activationParams.end());

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/batch_to_space.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/batch_to_space.cpp
@@ -43,7 +43,6 @@ std::string BatchToSpaceLayerTest::getTestCaseName(const testing::TestParamInfo<
 }
 
 void BatchToSpaceLayerTest::SetUp() {
-    SetRefMode(LayerTestsUtils::RefMode::INTERPRETER_TRANSFORMATIONS);
     std::vector<size_t> inputShape;
     std::vector<int64_t> blockShape, cropsBegin, cropsEnd;
     InferenceEngine::Precision netPrecision;

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/fake_quantize.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/fake_quantize.cpp
@@ -26,8 +26,8 @@
 /**
  * redefine this seed to reproduce issue with given seed that can be read from gtest logs
  */
-#define BASE_SEED   USE_CLOCK_TIME
-#define NGRAPH_SEED USE_CLOCK_TIME
+#define BASE_SEED   123
+#define NGRAPH_SEED 123
 
 namespace LayerTestsDefinitions {
 
@@ -85,6 +85,9 @@ void FakeQuantizeLayerTest::SetUp() {
         inputDataMax = inputArg[1];
         inputDataResolution = inputArg[2];
     }
+    if (fqDirectArg.size() != 0) {
+        threshold = (fqDirectArg[3] - fqDirectArg[2]) / levels;
+    }
     auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision);
     auto params = ngraph::builder::makeParams(ngPrc, {inputShape});
     auto paramOuts = ngraph::helpers::convert2OutputVector(ngraph::helpers::castOps2Nodes<ngraph::op::Parameter>(params));

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/loop.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/loop.cpp
@@ -120,7 +120,7 @@ namespace LayerTestsDefinitions {
         // Body
         std::shared_ptr<ngraph::Node> Zo = body_params[0];
         for (int i = 1; i < body_params.size(); ++i) {
-            Zo = body_params[i] + Zo;
+            Zo = std::make_shared<ngraph::op::v1::Add>(body_params[i], Zo);
         }
 
         // body_params.insert(body_params.begin(), current_iteration);

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/select.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/select.cpp
@@ -37,8 +37,6 @@ namespace LayerTestsDefinitions {
     }
 
     void SelectLayerTest::SetUp() {
-        SetRefMode(LayerTestsUtils::RefMode::CONSTANT_FOLDING);
-
         std::vector<std::vector<size_t>> inputShapes(numOfInputs);
         InferenceEngine::Precision inputPrecision;
         ngraph::op::AutoBroadcastSpec broadcast;

diff --git a/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/space_to_batch.cpp b/inference-engine/tests/functional/plugin/shared/src/single_layer_tests/space_to_batch.cpp
@@ -43,7 +43,6 @@ std::string SpaceToBatchLayerTest::getTestCaseName(const testing::TestParamInfo<
 }
 
 void SpaceToBatchLayerTest::SetUp() {
-    SetRefMode(LayerTestsUtils::RefMode::INTERPRETER_TRANSFORMATIONS);
     std::vector<size_t> inputShape;
     std::vector<int64_t> blockShape, padsBegin, padsEnd;
     InferenceEngine::Precision inputPrecision, netPrecision;

diff --git a/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/cascade_concat.cpp b/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/cascade_concat.cpp
@@ -51,7 +51,7 @@ void CascadeConcat::SetUp() {
     if (multioutput) {
         auto const_mult = ngraph::builder::makeConstant(ngPrc, ngraph::Shape{1, input1[0][1]+input2[0][1]},
                                                   std::vector<float>{1.01f});
-        auto mult = std::make_shared<ngraph::op::v0::Multiply>(concat, const_mult);
+        auto mult = std::make_shared<ngraph::op::v1::Multiply>(concat, const_mult);
         results = ngraph::ResultVector{std::make_shared<ngraph::opset1::Result>(concat2),
                                        std::make_shared<ngraph::opset1::Result>(mult)};
     } else {

diff --git a/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/softsign.cpp b/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/softsign.cpp
@@ -52,7 +52,7 @@ void SoftsignTest::SetUp() {
     auto abs = std::make_shared<ngraph::op::Abs>(params[0]);
     auto add = std::make_shared<ngraph::op::PowerIE>(abs, 1, 1, 1);
     auto power = std::make_shared<ngraph::op::PowerIE>(add, -1, 1, 0);
-    auto mul = std::make_shared<ngraph::op::Multiply>(power, params[0]);
+    auto mul = std::make_shared<ngraph::op::v1::Multiply>(power, params[0]);
     ngraph::ResultVector results{ std::make_shared<ngraph::op::Result>(mul) };
     function = std::make_shared<ngraph::Function>(results, params, "SoftSignTest");
 }
@@ -75,10 +75,10 @@ std::shared_ptr<ngraph::Function> SoftsignTest::GenerateNgraphFriendlySoftSign()
     auto params = ngraph::builder::makeParams(ngPrc, { inputShape });
     auto abs = std::make_shared<ngraph::op::Abs>(params[0]);
     auto constant_0 = ngraph::builder::makeConstant<float>(ngPrc, inputShape, { 1 });
-    auto add = std::make_shared<ngraph::op::Add>(abs, constant_0);
+    auto add = std::make_shared<ngraph::op::v1::Add>(abs, constant_0);
     auto constant_1 = ngraph::builder::makeConstant<float>(ngPrc, inputShape, { -1 });
-    auto power = std::make_shared<ngraph::op::Power>(add, constant_1);
-    auto mul = std::make_shared<ngraph::op::Multiply>(power, params[0]);
+    auto power = std::make_shared<ngraph::op::v1::Power>(add, constant_1);
+    auto mul = std::make_shared<ngraph::op::v1::Multiply>(power, params[0]);
 
     ngraph::ResultVector results{ std::make_shared<ngraph::op::Result>(mul) };
     return std::make_shared<ngraph::Function>(results, params, "SoftSignTest");

diff --git a/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/split_concat_memory.cpp b/inference-engine/tests/functional/plugin/shared/src/subgraph_tests/split_concat_memory.cpp
@@ -64,7 +64,7 @@ void SplitConcatMemory::SetUp() {
     auto spl = std::make_shared<ngraph::op::v1::VariadicSplit>(cnc, axis_c, chunk_c);
 
     auto one = std::make_shared<ngraph::op::Constant>(ngPrc, ngraph::Shape{}, 1);
-    auto plus = std::make_shared<ngraph::op::Add>(cnc, one, ngraph::op::AutoBroadcastSpec::NUMPY);
+    auto plus = std::make_shared<ngraph::op::v1::Add>(cnc, one, ngraph::op::AutoBroadcastSpec::NUMPY);
     plus->set_friendly_name("plus_one");
 
     auto mem_w = std::make_shared<ngraph::op::Assign>(spl->output(1), "id");

diff --git a/inference-engine/tests/ie_test_utils/functional_test_utils/layer_test_utils.cpp b/inference-engine/tests/ie_test_utils/functional_test_utils/layer_test_utils.cpp
@@ -370,17 +370,6 @@ std::vector<std::vector<std::uint8_t>> LayerTestsCommon::CalculateRefs() {
             // reference inference on device with other options and nGraph function has to be implemented here
             break;
         }
-        case INTERPRETER_TRANSFORMATIONS: {
-            auto cloned_function = ngraph::clone_function(*function);
-
-            // todo: add functionality to configure the necessary transformations for each test separately
-            ngraph::pass::Manager m;
-            m.register_pass<ngraph::pass::ConvertSpaceToBatch>();
-            m.register_pass<ngraph::pass::ConvertBatchToSpace>();
-            m.run_passes(cloned_function);
-            expectedOutputs = ngraph::helpers::interpreterFunction(cloned_function, referenceInputs, inType, convertType);
-            break;
-        }
     }
 
     return expectedOutputs;

diff --git a/inference-engine/tests/ie_test_utils/functional_test_utils/layer_test_utils.hpp b/inference-engine/tests/ie_test_utils/functional_test_utils/layer_test_utils.hpp
@@ -126,7 +126,6 @@ typedef std::tuple<
 
 enum RefMode {
     INTERPRETER,
-    INTERPRETER_TRANSFORMATIONS,
     CONSTANT_FOLDING,
     IE
 };

diff --git a/inference-engine/tests/unit/cpu/bf16_transformer_test.cpp b/inference-engine/tests/unit/cpu/bf16_transformer_test.cpp
@@ -68,7 +68,7 @@ TEST(BF16TransformerTest, KeepMemoryPrecision) {
     auto mem_r = make_shared<ReadValue>(mem_i, "id");
     mem_r->set_friendly_name("mem_r");
 
-    auto mul = make_shared<Multiply>(mem_r, input);
+    auto mul = make_shared<ngraph::op::v1::Multiply>(mem_r, input);
     auto sig = make_shared<Sigmoid>(mul);
 
     auto fc1_w = make_shared<Constant>(type, Shape{2, 2}, 1);
@@ -131,7 +131,7 @@ TEST(BF16TransformerTest, DISABLED_KeepMemoryPrecisionWithGEMM) {
     auto mem_r = make_shared<ReadValue>(mem_i, "id");
     mem_r->set_friendly_name("mem_r");
 
-    auto mul = make_shared<Multiply>(mem_r, input);
+    auto mul = make_shared<ngraph::op::v1::Multiply>(mem_r, input);
     auto sig = make_shared<Sigmoid>(mul);
 
     auto fc1_w = make_shared<Constant>(type, Shape{2, 2}, 1);