[LPT] LPT CNNNetwork usage macros: part #2: cmake files update and te…

…sts addoption

inference-engine/src/cldnn_engine/cldnn_program.cpp

@@ -88,9 +88,11 @@
 #include <sys/stat.h>
 #include <exec_graph_info.hpp>
 
+#ifdef USE_CNNNETWORK_LPT
 #include "low_precision_transformations/transformer.hpp"
 #include "low_precision_transformations/fully_connected.hpp"
 #include "low_precision_transformations/gemm.hpp"
+#endif
 
 #include <iostream>
 #include <iomanip>

inference-engine/src/low_precision_transformations/CMakeLists.txt

@@ -2,6 +2,11 @@
 # SPDX-License-Identifier: Apache-2.0
 #
 
+if (NOT USE_CNNNETWORK_LPT)
+    add_library("inference_engine_lp_transformations" ALIAS "inference_engine_transformations")
+    return()
+endif()
+
 set (TARGET_NAME "inference_engine_lp_transformations")
 
 set(PUBLIC_HEADERS_DIR "${CMAKE_CURRENT_SOURCE_DIR}/include")
@@ -49,3 +54,5 @@ install(TARGETS ${TARGET_NAME}
         RUNTIME DESTINATION ${IE_CPACK_RUNTIME_PATH} COMPONENT core
         ARCHIVE DESTINATION ${IE_CPACK_ARCHIVE_PATH} COMPONENT core
         LIBRARY DESTINATION ${IE_CPACK_LIBRARY_PATH} COMPONENT core)
+
+target_compile_definitions(${TARGET_NAME} PUBLIC USE_CNNNETWORK_LPT)

inference-engine/src/mkldnn_plugin/mkldnn_exec_network.cpp

@@ -16,11 +16,13 @@
 #include <legacy/ie_util_internal.hpp>
 #include <legacy/graph_tools.hpp>
 #include <threading/ie_executor_manager.hpp>
+
+#ifdef USE_CNNNETWORK_LPT
 #include "low_precision_transformations/convolution.hpp"
-#include "low_precision_transformations/eltwise.hpp"
-#include "low_precision_transformations/fully_connected.hpp"
 #include "low_precision_transformations/scaleshift_to_convolution.hpp"
 #include "low_precision_transformations/transformer.hpp"
+#endif
+
 #include <threading/ie_cpu_streams_executor.hpp>
 #include <ie_system_conf.h>
 #include <threading/ie_thread_affinity.hpp>

inference-engine/src/transformations/include/transformations/low_precision/eltwise_base_transformation.hpp

@@ -18,6 +18,7 @@ class TRANSFORMATIONS_API EltwiseBaseTransformation : public LayerTransformation
     bool canBeTransformed(const TransformationContext& context, std::shared_ptr<Node> layer) const override;
     bool isPrecisionPreserved(std::shared_ptr<Node> layer) const noexcept override;
 
+    static bool isBroadcasted(const Shape& shape) noexcept;
 protected:
     int getNotEmpty(const std::shared_ptr<Node>& eltwise) const;
     std::pair<int, int> getMultiplyConstBranch(const std::shared_ptr<Node>& eltwise) const;

inference-engine/src/transformations/src/transformations/low_precision/eltwise_base_transformation.cpp

@@ -14,7 +14,7 @@ using namespace ngraph;
 using namespace ngraph::pass;
 using namespace ngraph::pass::low_precision;
 
-bool isBroadcasted(const Shape& shape) noexcept {
+bool EltwiseBaseTransformation::isBroadcasted(const Shape& shape) noexcept {
     const size_t spatialIndex = shape.size() == 1 ? 0ul : (shape.size() == 2ul ? 1ul : 2ul);
     for (size_t i = spatialIndex; i < shape.size(); ++i) {
         if (shape[i] != 1ul) {

inference-engine/tests/functional/inference_engine/lp_transformations/eltwise_transformation_is_broadcasted_test.cpp

@@ -3,46 +3,47 @@
 //
 
 #include <gtest/gtest.h>
-#include "low_precision_transformations/eltwise.hpp"
+#include "transformations/low_precision/eltwise_base_transformation.hpp"
 
 #include <ie_data.h>
 
 using namespace ::testing;
 using namespace std;
-using namespace InferenceEngine;
-using namespace InferenceEngine::details;
+
+using namespace ngraph;
+using namespace ngraph::pass::low_precision;
 
 class EltwiseTransformationIsBroadcastedTests : public ::testing::Test {
 protected:
-    const TensorDesc c1 = TensorDesc(Precision::FP32, { 1ul }, Layout::C);
-    const TensorDesc c1000 = TensorDesc(Precision::FP32, { 1000ul }, Layout::C);
-    const TensorDesc n1c1 = TensorDesc(Precision::FP32, { 1ul, 1ul }, Layout::NC);
-    const TensorDesc n1c256 = TensorDesc(Precision::FP32, { 1ul, 256ul }, Layout::NC);
-    const TensorDesc n1c1000h1w1 = TensorDesc(Precision::FP32, { 1ul, 1000ul, 1ul, 1ul }, Layout::NCHW);
-    const TensorDesc n1c32h144w144 = TensorDesc(Precision::FP32, { 1ul, 32ul, 144ul, 144ul }, Layout::NCHW);
+    const Shape c1 = Shape({ 1ul });
+    const Shape c1000 = Shape({ 1000ul });
+    const Shape n1c1 = Shape({ 1ul, 1ul });
+    const Shape n1c256 = Shape({ 1ul, 256ul });
+    const Shape n1c1000h1w1 = Shape({ 1ul, 1000ul, 1ul, 1ul });
+    const Shape n1c32h144w144 = Shape({ 1ul, 32ul, 144ul, 144ul });
 };
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, c1) {
-    ASSERT_TRUE(EltwiseTransformation::isBroadcasted(c1));
+    ASSERT_TRUE(EltwiseBaseTransformation::isBroadcasted(c1));
 }
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, c1000) {
-    ASSERT_FALSE(EltwiseTransformation::isBroadcasted(c1000));
+    ASSERT_FALSE(EltwiseBaseTransformation::isBroadcasted(c1000));
 }
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, n1c1) {
-    ASSERT_TRUE(EltwiseTransformation::isBroadcasted(n1c1));
+    ASSERT_TRUE(EltwiseBaseTransformation::isBroadcasted(n1c1));
 }
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, n1c256) {
-    ASSERT_FALSE(EltwiseTransformation::isBroadcasted(n1c256));
+    ASSERT_FALSE(EltwiseBaseTransformation::isBroadcasted(n1c256));
 }
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, n1c1000h1w1) {
-    ASSERT_TRUE(EltwiseTransformation::isBroadcasted(n1c1000h1w1));
+    ASSERT_TRUE(EltwiseBaseTransformation::isBroadcasted(n1c1000h1w1));
 }
 
 TEST_F(EltwiseTransformationIsBroadcastedTests, n1c32h144w144) {
-    ASSERT_FALSE(EltwiseTransformation::isBroadcasted(n1c32h144w144));
+    ASSERT_FALSE(EltwiseBaseTransformation::isBroadcasted(n1c32h144w144));
 }
 

inference-engine/tests/functional/inference_engine/lp_transformations/low_precision_transformations_test.cpp

@@ -3,50 +3,50 @@
 //
 
 #include <gtest/gtest.h>
-#include "low_precision_transformations/transformer.hpp"
+#include "transformations/low_precision/transformer.hpp"
 
 using namespace ::testing;
-using namespace InferenceEngine;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 class LowPrecisionTransformationsTests : public Test {};
 
 TEST_F(LowPrecisionTransformationsTests, remove) {
     LowPrecisionTransformations transformations = LowPrecisionTransformer::getAllTransformations(LayerTransformation::Params());
-    LayerTransformationPtr transformation = transformations.find("ScaleShift");
-    ASSERT_NE(nullptr, transformation);
+    auto transformation = transformations.find("Convolution");
+    ASSERT_NE(0, transformation.size());
 
-    transformations.remove("ScaleShift");
-    transformation = transformations.find("ScaleShift");
-    ASSERT_EQ(nullptr, transformation);
+    transformations.remove("Convolution");
+    transformation = transformations.find("Convolution");
+    ASSERT_EQ(0, transformation.size());
 }
 
 TEST_F(LowPrecisionTransformationsTests, removeBranchSpecificTransformations) {
     LowPrecisionTransformations transformations = LowPrecisionTransformer::getAllTransformations(LayerTransformation::Params());
-    LayerTransformationPtr transformation = transformations.find("Concat");
-    ASSERT_NE(nullptr, transformation);
+    auto transformation = transformations.find("Concat");
+    ASSERT_NE(0, transformation.size());
 
     transformations.removeBranchSpecificTransformations("Concat");
     transformation = transformations.find("Concat");
-    ASSERT_EQ(nullptr, transformation);
+    ASSERT_EQ(0, transformation.size());
 }
 
 TEST_F(LowPrecisionTransformationsTests, removeTransformations) {
     LowPrecisionTransformations transformations = LowPrecisionTransformer::getAllTransformations(LayerTransformation::Params());
-    LayerTransformationPtr transformation = transformations.find("FullyConnected");
-    ASSERT_NE(nullptr, transformation);
+    auto transformation = transformations.find("MatMul");
+    ASSERT_NE(0, transformation.size());
 
-    transformations.removeTransformations("FullyConnected");
-    transformation = transformations.find("FullyConnected");
-    ASSERT_EQ(nullptr, transformation);
+    transformations.removeTransformations("MatMul");
+    transformation = transformations.find("MatMul");
+    ASSERT_EQ(0, transformation.size());
 }
 
 TEST_F(LowPrecisionTransformationsTests, removeCleanupTransformations) {
     LowPrecisionTransformations transformations = LowPrecisionTransformer::getAllTransformations(LayerTransformation::Params());
-    LayerTransformationPtr transformation = transformations.find("ScaleShift");
-    ASSERT_NE(nullptr, transformation);
+    auto transformation = transformations.find("Multiply");
+    ASSERT_NE(0, transformation.size());
+    const size_t originalSize = transformation.size();
 
-    transformations.removeCleanupTransformations("ScaleShift");
-    transformation = transformations.find("ScaleShift");
-    ASSERT_EQ(nullptr, transformation);
+    transformations.removeCleanupTransformations("Multiply");
+    transformation = transformations.find("Multiply");
+    ASSERT_EQ(originalSize - 1, transformation.size());
 }

inference-engine/tests/functional/inference_engine/lp_transformations/precision_details_test.cpp

@@ -4,15 +4,14 @@
 
 #include <gtest/gtest.h>
 #include <gmock/gmock-spec-builders.h>
-#include "low_precision_transformations/layer_transformation.hpp"
-#include "low_precision_transformations/fake_quantize.hpp"
+#include "transformations/low_precision/layer_transformation.hpp"
+#include "transformations/low_precision/fake_quantize.hpp"
 
 #include <ie_data.h>
 
 using namespace ::testing;
 using namespace std;
-using namespace InferenceEngine;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 class PrecisionDetailsTests : public ::testing::Test {
 protected:
@@ -27,7 +26,7 @@ TEST_F(PrecisionDetailsTests, getPrecisionDetailsI8levels255WithoutZeroPoint) {
     LayerTransformation::Params params = LayerTransformation::Params();
     FakeQuantizeTransformation fakeQuantizeTransformation(params);
     const LayerTransformation::PrecisionDetails precisionDetails = fakeQuantizeTransformation.getPrecisionDetails(i8levels255WithoutZeroPoint);
-    ASSERT_EQ(Precision::I8, precisionDetails.precision);
+    ASSERT_EQ(ngraph::element::i8, precisionDetails.precision);
     ASSERT_TRUE(precisionDetails.hasNegativeOutput);
     ASSERT_FALSE(precisionDetails.hasZeroPoint);
 }
@@ -36,7 +35,7 @@ TEST_F(PrecisionDetailsTests, getPrecisionDetailsI8levels255WithZeroPoint) {
     LayerTransformation::Params params = LayerTransformation::Params();
     FakeQuantizeTransformation fakeQuantizeTransformation(params);
     const LayerTransformation::PrecisionDetails precisionDetails = fakeQuantizeTransformation.getPrecisionDetails(i8levels255WithZeroPoint);
-    ASSERT_EQ(Precision::UNSPECIFIED, precisionDetails.precision);
+    ASSERT_EQ(ngraph::element::undefined, precisionDetails.precision);
     ASSERT_TRUE(precisionDetails.hasNegativeOutput);
     ASSERT_TRUE(precisionDetails.hasZeroPoint);
 }
@@ -45,7 +44,7 @@ TEST_F(PrecisionDetailsTests, getPrecisionDetailsI8levels256WithoutZeroPoint) {
     LayerTransformation::Params params = LayerTransformation::Params();
     FakeQuantizeTransformation fakeQuantizeTransformation(params);
     const LayerTransformation::PrecisionDetails precisionDetails = fakeQuantizeTransformation.getPrecisionDetails(i8levels256WithoutZeroPoint);
-    ASSERT_EQ(Precision::I8, precisionDetails.precision);
+    ASSERT_EQ(ngraph::element::i8, precisionDetails.precision);
     ASSERT_TRUE(precisionDetails.hasNegativeOutput);
     ASSERT_FALSE(precisionDetails.hasZeroPoint);
 }
@@ -54,7 +53,7 @@ TEST_F(PrecisionDetailsTests, getPrecisionDetailsU8levels256WithoutZeroPoint) {
     LayerTransformation::Params params = LayerTransformation::Params();
     FakeQuantizeTransformation fakeQuantizeTransformation(params);
     const LayerTransformation::PrecisionDetails precisionDetails = fakeQuantizeTransformation.getPrecisionDetails(u8levels256WithoutZeroPoint);
-    ASSERT_EQ(Precision::U8, precisionDetails.precision);
+    ASSERT_EQ(ngraph::element::u8, precisionDetails.precision);
     ASSERT_FALSE(precisionDetails.hasNegativeOutput);
     ASSERT_FALSE(precisionDetails.hasZeroPoint);
 }
@@ -63,7 +62,7 @@ TEST_F(PrecisionDetailsTests, getPrecisionDetailsU8levels256WithZeroPoint) {
     LayerTransformation::Params params = LayerTransformation::Params();
     FakeQuantizeTransformation fakeQuantizeTransformation(params);
     const LayerTransformation::PrecisionDetails precisionDetails = fakeQuantizeTransformation.getPrecisionDetails(u8levels256WithZeroPoint);
-    ASSERT_EQ(Precision::UNSPECIFIED, precisionDetails.precision);
+    ASSERT_EQ(ngraph::element::undefined, precisionDetails.precision);
     ASSERT_FALSE(precisionDetails.hasNegativeOutput);
     ASSERT_TRUE(precisionDetails.hasZeroPoint);
 }

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/low_precision_transformations/fake_quantize_and_two_output_branches_with_convolution.cpp

@@ -8,7 +8,7 @@
 #include "common_test_utils/test_constants.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 namespace {
 const std::vector<InferenceEngine::Precision> netPrecisions = {

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/low_precision_transformations/fake_quantize_precision_selection_transformation.cpp

@@ -9,7 +9,7 @@
 #include "ngraph_functions/low_precision_transformations/fake_quantize_function.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 namespace {
 const std::vector<InferenceEngine::Precision> netPrecisions = {

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/low_precision_transformations/fake_quantize_transformation.cpp

@@ -9,7 +9,7 @@
 #include "ngraph_functions/low_precision_transformations/fake_quantize_function.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 namespace {
 const std::vector<InferenceEngine::Precision> netPrecisions = {

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/low_precision_transformations/fuse_fake_quantize_and_scale_shift_transformation.cpp

@@ -9,7 +9,7 @@
 #include "ngraph_functions/low_precision_transformations/fuse_fake_quantize_and_scale_shift_function.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 namespace {
 const std::vector<InferenceEngine::Precision> netPrecisions = {

inference-engine/tests/functional/plugin/cpu/shared_tests_instances/low_precision_transformations/gemm_transformation.cpp

@@ -8,7 +8,7 @@
 #include "common_test_utils/test_constants.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace InferenceEngine::details;
+using namespace ngraph::pass::low_precision;
 
 namespace {
 const std::vector<InferenceEngine::Precision> netPrecisions = {