Add ctest for some test targets (#13727)

* Add ctest for some test targets

* Fixed test coverage

* Replaced unit tests cmake script

* Fixed code style

* Use ov_add_test_target for FEs

* Fixed code style

docs/dev/test_coverage.md

@@ -34,9 +34,22 @@ And build OpenVINO as usual.
 In order to generate coverage reports, first of all, the tests must be run. Depending on how many tests are run, the better covegare percentage can be achieved. E.g. for `openvino` component, `InferenceEngineUnitTests`, `ieUnitTests`, `ieFuncTests` must be run as well as plugin tests.
 
 ```bash
-$ ctest -V -L IE
+$ ctest -V
 ```
 
+OpenVINO components define several common groups which allow to run tests for separate component (with ctest argiment `-L GROUP_NAME`):
+
+ - OV - core OpenVINO tests
+ - IR_FE - IR frontend tests
+ - ONNX_FE - ONNX frontend tests
+ - PADDLE_FE - Paddle frontend tests
+ - TF_FE - TensorFlow frontend tests
+ - CPU - CPU plugin tests
+ - GPU - GPU plugin tests
+ - GNA - GNA plugin tests
+ - VPU - VPU plugin tests
+
+
 After sufficient number of tests are executed, the coverage numbers can be calculated. In order to do this, run:
 
 ```bash

src/common/snippets/tests/CMakeLists.txt

@@ -16,10 +16,10 @@ addIeTargetTest(
             snippetsNgraphFunctions
         ADD_CPPLINT
         LABELS
-        IE SNIPPETS
+        IE OV SNIPPETS
 )
 
 ie_faster_build(${TARGET_NAME}
     UNITY
     PCH PRIVATE "src/precomp.hpp"
-)
+)

src/core/tests/CMakeLists.txt

@@ -1,6 +1,7 @@
 # Copyright (C) 2018-2022 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 #
+set(TARGET_NAME ov_core_unit_tests)
 
 set(CMAKE_INTERPROCEDURAL_OPTIMIZATION_RELEASE OFF)
 
@@ -29,421 +30,6 @@ if(LINUX)
     set(CMAKE_BUILD_WITH_INSTALL_RPATH FALSE)
 endif()
 
-set(SRC
-    aligned_buffer.cpp
-    all_close_f.cpp
-    bfloat16.cpp
-    build_graph.cpp
-    builder_autobroadcast.cpp
-    check.cpp
-    conditional_compilation/ngraph_cc_collect.cpp
-    conditional_compilation/ngraph_cc_off.cpp
-    conditional_compilation/ngraph_cc_on.cpp
-    constant.cpp
-    constant_folding.cpp
-    control_dependencies.cpp
-    convert_u1_to_string.cpp
-    coordinate.cpp
-    coordinate_range.cpp
-    copy.cpp
-    copy_runtime_info.cpp
-    dimension.cpp
-    element_type.cpp
-    eval.cpp
-    evaluate_bound/concat.cpp
-    evaluate_bound/transpose.cpp
-    extension.cpp
-    file_util.cpp
-    float16.cpp
-    framework_node.cpp
-    model.cpp
-    graph_rewrite.cpp
-    input_output_assign.cpp
-    int4.cpp
-    intervals.cpp
-    layout.cpp
-    main.cpp
-    matcher_pass.cpp
-    misc.cpp
-    rtti.cpp
-    node_input_output.cpp
-    rtti.cpp
-    op.cpp
-    opset.cpp
-    opset1.cpp
-    ov_default_allocator_test.cpp
-    ov_tensor_test.cpp
-    any.cpp
-    partial_shape.cpp
-    pass_config.cpp
-    pass_manager.cpp
-    pass/serialization/cleanup.cpp
-    pass/serialization/const_compression.cpp
-    pass/serialization/deterministicity.cpp
-    pass/serialization/serialize.cpp
-    pass/serialization/from_model.cpp
-    pattern.cpp
-    preprocess.cpp
-    replace_node.cpp
-    reshape_opt_kernel.cpp
-    shape.cpp
-    span.cpp
-    specialize_function.cpp
-    tensor.cpp
-    threading.cpp
-    type_info.cpp
-    type_prop/abs.cpp
-    type_prop/acos.cpp
-    type_prop/adaptive_avg_pool.cpp
-    type_prop/adaptive_max_pool.cpp
-    type_prop/add.cpp
-    type_prop/asin.cpp
-    type_prop/asinh.cpp
-    type_prop/assign.cpp
-    type_prop/atan.cpp
-    type_prop/atanh.cpp
-    type_prop/augru_cell.cpp
-    type_prop/augru_sequence.cpp
-    type_prop/avg_pool.cpp
-    type_prop/batch_norm.cpp
-    type_prop/batch_to_space.cpp
-    type_prop/binary_convolution.cpp
-    type_prop/binary_elementwise.cpp
-    type_prop/broadcast.cpp
-    type_prop/bucketize.cpp
-    type_prop/ceiling.cpp
-    type_prop/clamp.cpp
-    type_prop/concat.cpp
-    type_prop/constant.cpp
-    type_prop/convert.cpp
-    type_prop/convert_color_i420.cpp
-    type_prop/convert_color_nv12.cpp
-    type_prop/convolution.cpp
-    type_prop/convolution_backprop_data.cpp
-    type_prop/cos.cpp
-    type_prop/cosh.cpp
-    type_prop/ctc_greedy_decoder.cpp
-    type_prop/ctc_greedy_decoder_seq_len.cpp
-    type_prop/ctc_loss.cpp
-    type_prop/cum_sum.cpp
-    type_prop/deformable_convolution.cpp
-    type_prop/deformable_convolution_opset8.cpp
-    type_prop/deformable_psroi_pooling.cpp
-    type_prop/detection_output.cpp
-    type_prop/depth_to_space.cpp
-    type_prop/dft.cpp
-    type_prop/divide.cpp
-    type_prop/dyn_reshape.cpp
-    type_prop/einsum.cpp
-    type_prop/erf.cpp
-    type_prop/exp.cpp
-    type_prop/experimental_detectron_generate_proposals.cpp
-    type_prop/generate_proposals.cpp
-    type_prop/experimental_detectron_roi_feature_extractor.cpp
-    type_prop/experimental_detectron_topkrois.cpp
-    type_prop/strided_slice.cpp
-    type_prop/elu.cpp
-    type_prop/embeddingbag_offsetssum.cpp
-    type_prop/experimental_detectron_detection_output.cpp
-    type_prop/experimental_detectron_prior_grid_generator.cpp
-    type_prop/extractimagepatches.cpp
-    type_prop/embeddingbag_packedsum.cpp
-    type_prop/embedding_segments_sum.cpp
-    type_prop/eye.cpp
-    type_prop/fake_quantize.cpp
-    type_prop/floor.cpp
-    type_prop/floor_mod.cpp
-    type_prop/framework_node.cpp
-    type_prop/gather.cpp
-    type_prop/gather_elements.cpp
-    type_prop/gather_nd.cpp
-    type_prop/gather_tree.cpp
-    type_prop/gelu.cpp
-    type_prop/grid_sample.cpp
-    type_prop/grn.cpp
-    type_prop/group_convolution.cpp
-    type_prop/group_convolution_backprop_data.cpp
-    type_prop/gru_cell.cpp
-    type_prop/gru_sequence.cpp
-    type_prop/hard_sigmoid.cpp
-    type_prop/hsigmoid.cpp
-    type_prop/hswish.cpp
-    type_prop/idft.cpp
-    type_prop/if.cpp
-    type_prop/interpolate.cpp
-    type_prop/irdft.cpp
-    type_prop/is_finite.cpp
-    type_prop/is_inf.cpp
-    type_prop/is_nan.cpp
-    type_prop/logical_and.cpp
-    type_prop/logical_not.cpp
-    type_prop/logical_or.cpp
-    type_prop/logical_xor.cpp
-    type_prop/lrn.cpp
-    type_prop/lstm_cell.cpp
-    type_prop/lstm_sequence.cpp
-    type_prop/loop.cpp
-    type_prop/matmul.cpp
-    type_prop/matrix_nms.cpp
-    type_prop/maximum.cpp
-    type_prop/max_pool.cpp
-    type_prop/minimum.cpp
-    type_prop/mish.cpp
-    type_prop/mod.cpp
-    type_prop/multiclass_nms.cpp
-    type_prop/multiply.cpp
-    type_prop/mvn.cpp
-    type_prop/negative.cpp
-    type_prop/non_max_suppression.cpp
-    type_prop/non_zero.cpp
-    type_prop/normalize_l2.cpp
-    type_prop/one_hot.cpp
-    type_prop/pad.cpp
-    type_prop/parameter.cpp
-    type_prop/power.cpp
-    type_prop/prelu.cpp
-    type_prop/prior_box.cpp
-    type_prop/proposal.cpp
-    type_prop/psroi_pooling.cpp
-    type_prop/prior_box_clustered.cpp
-    type_prop/random_uniform.cpp
-    type_prop/range.cpp
-    type_prop/rdft.cpp
-    type_prop/read_value.cpp
-    type_prop/reduce_l1.cpp
-    type_prop/reduce_l2.cpp
-    type_prop/reduce_logical_and.cpp
-    type_prop/reduce_logical_or.cpp
-    type_prop/reduce_max.cpp
-    type_prop/reduce_mean.cpp
-    type_prop/reduce_min.cpp
-    type_prop/reduce_prod.cpp
-    type_prop/reduce_sum.cpp
-    type_prop/region_yolo.cpp
-    type_prop/relu.cpp
-    type_prop/reorg_yolo.cpp
-    type_prop/reshape.cpp
-    type_prop/result.cpp
-    type_prop/reverse.cpp
-    type_prop/reverse_sequence.cpp
-    type_prop/roi_align.cpp
-    type_prop/roi_pooling.cpp
-    type_prop/roll.cpp
-    type_prop/round.cpp
-    type_prop/rnn_cell.cpp
-    type_prop/rnn_sequence.cpp
-    type_prop/round.cpp
-    type_prop/scatter_elements_update.cpp
-    type_prop/scatter_nd_update.cpp
-    type_prop/scatter_update.cpp
-    type_prop/select.cpp
-    type_prop/selu.cpp
-    type_prop/shape_of.cpp
-    type_prop/shuffle_channels.cpp
-    type_prop/sigmoid.cpp
-    type_prop/sign.cpp
-    type_prop/sin.cpp
-    type_prop/sinh.cpp
-    type_prop/slice.cpp
-    type_prop/softmax.cpp
-    type_prop/softplus.cpp
-    type_prop/softsign.cpp
-    type_prop/space_to_batch.cpp
-    type_prop/space_to_depth.cpp
-    type_prop/split.cpp
-    type_prop/sqrt.cpp
-    type_prop/squared_difference.cpp
-    type_prop/squeeze.cpp
-    type_prop/subtract.cpp
-    type_prop/swish.cpp
-    type_prop/tan.cpp
-    type_prop/tanh.cpp
-    type_prop/tensor_iterator.cpp
-    type_prop/tile.cpp
-    type_prop/top_k.cpp
-    type_prop/transpose.cpp
-    type_prop/unary_elementwise.cpp
-    type_prop/unique.cpp
-    type_prop/unsqueeze.cpp
-    type_prop/variadic_split.cpp
-    type_prop_layers.cpp
-    visitors/partial_shape.cpp
-    visitors/dimension.cpp
-    visitors/user_op.cpp
-    visitors/value_map.cpp
-    visitors/op/abs.cpp
-    visitors/op/acos.cpp
-    visitors/op/acosh.cpp
-    visitors/op/adaptive_avg_pool.cpp
-    visitors/op/adaptive_max_pool.cpp
-    visitors/op/add.cpp
-    visitors/op/asin.cpp
-    visitors/op/asinh.cpp
-    visitors/op/assign.cpp
-    visitors/op/atan.cpp
-    visitors/op/atanh.cpp
-    visitors/op/avg_pool.cpp
-    visitors/op/batch_norm.cpp
-    visitors/op/batch_to_space.cpp
-    visitors/op/binary_convolution.cpp
-    visitors/op/broadcast.cpp
-    visitors/op/bucketize.cpp
-    visitors/op/ceiling.cpp
-    visitors/op/clamp.cpp
-    visitors/op/concat.cpp
-    visitors/op/constant.cpp
-    visitors/op/convert.cpp
-    visitors/op/convert_color_i420.cpp
-    visitors/op/convert_color_nv12.cpp
-    visitors/op/convolution_backprop.cpp
-    visitors/op/convolution.cpp
-    visitors/op/cos.cpp
-    visitors/op/cosh.cpp
-    visitors/op/ctc_greedy_decoder.cpp
-    visitors/op/ctc_greedy_decoder_seq_len.cpp
-    visitors/op/ctc_loss.cpp
-    visitors/op/cum_sum.cpp
-    visitors/op/deformable_convolution.cpp
-    visitors/op/deformable_psroi_pooling.cpp
-    visitors/op/depth_to_space.cpp
-    visitors/op/detection_output.cpp
-    visitors/op/dft.cpp
-    visitors/op/divide.cpp
-    visitors/op/einsum.cpp
-    visitors/op/elu.cpp
-    visitors/op/embedding_segments_sum.cpp
-    visitors/op/embeddingbag_offsetssum.cpp
-    visitors/op/embeddingbag_packedsum.cpp
-    visitors/op/equal.cpp
-    visitors/op/erf.cpp
-    visitors/op/exp.cpp
-    visitors/op/experimental_detectron_detection_output.cpp
-    visitors/op/experimental_detectron_generate_proposals.cpp
-    visitors/op/generate_proposals.cpp
-    visitors/op/grid_sample.cpp
-    visitors/op/experimental_detectron_prior_grid_generator.cpp
-    visitors/op/experimental_detectron_topkrois.cpp
-    visitors/op/eye.cpp
-    visitors/op/extractimagepatches.cpp
-    visitors/op/fake_quantize.cpp
-    visitors/op/floor_mod.cpp
-    visitors/op/floor.cpp
-    visitors/op/gather.cpp
-    visitors/op/gather_elements.cpp
-    visitors/op/gather_nd.cpp
-    visitors/op/gather_tree.cpp
-    visitors/op/gelu.cpp
-    visitors/op/greater_equal.cpp
-    visitors/op/greater.cpp
-    visitors/op/grn.cpp
-    visitors/op/gru_cell.cpp
-    visitors/op/gru_sequence.cpp
-    visitors/op/group_conv.cpp
-    visitors/op/hard_sigmoid.cpp
-    visitors/op/hsigmoid.cpp
-    visitors/op/hswish.cpp
-    visitors/op/interpolate.cpp
-    visitors/op/if.cpp
-    visitors/op/idft.cpp
-    visitors/op/irdft.cpp
-    visitors/op/is_inf.cpp
-    visitors/op/less_equal.cpp
-    visitors/op/less.cpp
-    visitors/op/log.cpp
-    visitors/op/log_softmax.cpp
-    visitors/op/logical_and.cpp
-    visitors/op/logical_or.cpp
-    visitors/op/logical_not.cpp
-    visitors/op/logical_xor.cpp
-    visitors/op/lrn.cpp
-    visitors/op/lstm_cell.cpp
-    visitors/op/lstm_sequence.cpp
-    visitors/op/matmul.cpp
-    visitors/op/matrix_nms.cpp
-    visitors/op/max_pool.cpp
-    visitors/op/maximum.cpp
-    visitors/op/minimum.cpp
-    visitors/op/mish.cpp
-    visitors/op/mod.cpp
-    visitors/op/multiclass_nms.cpp
-    visitors/op/multiply.cpp
-    visitors/op/mvn.cpp
-    visitors/op/negative.cpp
-    visitors/op/non_max_suppression.cpp
-    visitors/op/non_zero.cpp
-    visitors/op/normalize_l2.cpp
-    visitors/op/not_equal.cpp
-    visitors/op/one_hot.cpp
-    visitors/op/pad.cpp
-    visitors/op/parameter.cpp
-    visitors/op/power.cpp
-    visitors/op/prelu.cpp
-    visitors/op/prior_box.cpp
-    visitors/op/prior_box_clustered.cpp
-    visitors/op/proposal.cpp
-    visitors/op/psroi_pooling.cpp
-    visitors/op/random_uniform.cpp
-    visitors/op/range.cpp
-    visitors/op/rdft.cpp
-    visitors/op/read_value.cpp
-    visitors/op/reduce_l1.cpp
-    visitors/op/reduce_l2.cpp
-    visitors/op/reduce_logical_and.cpp
-    visitors/op/reduce_logical_or.cpp
-    visitors/op/reduce_max.cpp
-    visitors/op/reduce_mean.cpp
-    visitors/op/reduce_min.cpp
-    visitors/op/reduce_prod.cpp
-    visitors/op/reduce_sum.cpp
-    visitors/op/region_yolo.cpp
-    visitors/op/relu.cpp
-    visitors/op/reorg_yolo.cpp
-    visitors/op/reshape.cpp
-    visitors/op/result.cpp
-    visitors/op/reverse.cpp
-    visitors/op/reverse_sequence.cpp
-    visitors/op/rnn_cell.cpp
-    visitors/op/rnn_sequence.cpp
-    visitors/op/roi_pooling.cpp
-    visitors/op/roll.cpp
-    visitors/op/round.cpp
-    visitors/op/scatter_elements_update.cpp
-    visitors/op/scatter_update.cpp
-    visitors/op/select.cpp
-    visitors/op/space_to_depth.cpp
-    visitors/op/selu.cpp
-    visitors/op/shape_of.cpp
-    visitors/op/shuffle_channels.cpp
-    visitors/op/sigmoid.cpp
-    visitors/op/sign.cpp
-    visitors/op/sin.cpp
-    visitors/op/sinh.cpp
-    visitors/op/slice.cpp
-    visitors/op/softmax.cpp
-    visitors/op/softplus.cpp
-    visitors/op/softsign.cpp
-    visitors/op/space_to_batch.cpp
-    visitors/op/space_to_depth.cpp
-    visitors/op/split.cpp
-    visitors/op/sqrt.cpp
-    visitors/op/squared_difference.cpp
-    visitors/op/squeeze.cpp
-    visitors/op/strided_slice.cpp
-    visitors/op/subtract.cpp
-    visitors/op/swish.cpp
-    visitors/op/tan.cpp
-    visitors/op/tanh.cpp
-    visitors/op/tensor_iterator.cpp
-    visitors/op/tile.cpp
-    visitors/op/topk.cpp
-    visitors/op/transpose.cpp
-    visitors/op/unique.cpp
-    visitors/op/unsqueeze.cpp
-    visitors/op/variadic_split.cpp
-    uint4.cpp
-    validation_utils.cpp
-)
-
 # For type relaxed types
 set_source_files_properties(${CMAKE_CURRENT_SOURCE_DIR}/threading.cpp
         PROPERTIES INCLUDE_DIRECTORIES $<TARGET_PROPERTY:inference_engine_transformations,INTERFACE_INCLUDE_DIRECTORIES>)
@@ -455,75 +41,66 @@ if(SUGGEST_OVERRIDE_SUPPORTED)
 endif()
 
 list(APPEND UNIT_TESTS_DEPENDENCIES openvino_template_extension)
+list(APPEND UNIT_TESTS_DEPENDENCIES template_extension)
 
+list(APPEND EXCLUDE_TESTS ${CMAKE_CURRENT_SOURCE_DIR}/frontend
+                          ${CMAKE_CURRENT_SOURCE_DIR}/dnnl.cpp)
 if (ENABLE_TEMPLATE)
     list(APPEND UNIT_TESTS_DEPENDENCIES openvino_template_plugin)
-    set(OP_EVAL_TEST_SRC
+else()
+    list(APPEND EXCLUDE_TESTS
         # It should be a part of template plugin
-        op_eval/memory.cpp)
+        ${CMAKE_CURRENT_SOURCE_DIR}/op_eval/memory.cpp)
 endif()
 
-# SOURCE FOR FRONTEND TESTING
-file(GLOB FRONTEND_TESTS_SRC ${CMAKE_CURRENT_SOURCE_DIR}/frontend/frontend_manager.cpp
-        ${CMAKE_CURRENT_SOURCE_DIR}/frontend/decoder_transformation_extension.cpp
-        ${CMAKE_CURRENT_SOURCE_DIR}/frontend/progress_reporter.cpp)
-list(APPEND SRC ${FRONTEND_TESTS_SRC})
-
-foreach(src IN LISTS SRC OP_EVAL_TEST_SRC)
-    if(IS_ABSOLUTE "${src}")
-        list(APPEND full_src_names ${src})
-    else()
-        list(APPEND full_src_names "${CMAKE_CURRENT_SOURCE_DIR}/${src}")
-    endif()
-endforeach()
-add_clang_format_target(unit-test_clang FOR_SOURCES ${full_src_names})
-
-add_executable(ov_core_unit_tests ${SRC} ${OP_EVAL_TEST_SRC})
-
-add_dependencies(ov_core_unit_tests template_extension)
-
-target_include_directories(ov_core_unit_tests PRIVATE ${CMAKE_CURRENT_SOURCE_DIR})
+ov_add_test_target(
+    NAME ${TARGET_NAME}
+        ROOT ${CMAKE_CURRENT_SOURCE_DIR}
+        EXCLUDED_SOURCE_PATHS 
+            ${EXCLUDE_TESTS}
+        DEPENDENCIES
+            ${UNIT_TESTS_DEPENDENCIES}
+            # process models
+            test_model_zoo
+        LINK_LIBRARIES
+            engines_test_util
+            commonTestUtils
+            ngraph_reference
+            ngraph::builder
+            openvino::util
+            ov_shape_inference
+            ${CMAKE_DL_LIBS}
+            Threads::Threads
+            openvino::conditional_compilation
+            openvino::runtime::dev
+        ADD_CLANG_FORMAT
+        LABELS
+            OV
+            IE
+            CORE
+)
 
 get_target_property(OV_CORE_SRC_DIR ngraph_obj SOURCE_DIR)
-target_include_directories(ov_core_unit_tests PRIVATE ${OV_CORE_SRC_DIR}/src)
+target_include_directories(${TARGET_NAME} PRIVATE ${OV_CORE_SRC_DIR}/src
+                                                  ${CMAKE_CURRENT_SOURCE_DIR})
 
-target_compile_definitions(ov_core_unit_tests
+target_compile_definitions(${TARGET_NAME}
     PRIVATE
         SHARED_LIB_PREFIX="${CMAKE_SHARED_LIBRARY_PREFIX}"
         SHARED_LIB_SUFFIX="${IE_BUILD_POSTFIX}${CMAKE_SHARED_LIBRARY_SUFFIX}")
 
-add_dependencies(ov_core_unit_tests ${UNIT_TESTS_DEPENDENCIES})
-
-target_link_libraries(ov_core_unit_tests PRIVATE
-                                        engines_test_util
-                                        commonTestUtils
-                                        ngraph_reference
-                                        ngraph::builder
-                                        openvino::util
-                                        ov_shape_inference
-                                        ${CMAKE_DL_LIBS}
-                                        Threads::Threads
-                                        openvino::conditional_compilation
-                                        openvino::runtime::dev)
+add_dependencies(${TARGET_NAME} ${UNIT_TESTS_DEPENDENCIES})
 
 if (ENABLE_OV_ONNX_FRONTEND)
-    target_compile_definitions(ov_core_unit_tests PRIVATE ENABLE_OV_ONNX_FRONTEND)
+    target_compile_definitions(${TARGET_NAME} PRIVATE ENABLE_OV_ONNX_FRONTEND)
 endif()
 
 if (OV_COMPILER_IS_CLANG)
-    target_compile_options(ov_core_unit_tests PRIVATE -Wno-undef -Wno-reserved-id-macro)
+    target_compile_options(${TARGET_NAME} PRIVATE -Wno-undef -Wno-reserved-id-macro)
 endif()
 
 if(ENABLE_OV_IR_FRONTEND)
-    add_dependencies(ov_core_unit_tests openvino_ir_frontend)
+    add_dependencies(${TARGET_NAME} openvino_ir_frontend)
 endif()
 
-install(TARGETS ov_core_unit_tests
-        RUNTIME DESTINATION tests
-        COMPONENT tests
-        EXCLUDE_FROM_ALL)
-
 add_subdirectory(frontend)
-
-# process models
-add_dependencies(ov_core_unit_tests test_model_zoo)

src/core/tests/pass/serialization/read_ir.hpp

@@ -4,9 +4,9 @@
 
 #pragma once
 
-#include "openvino/frontend/manager.hpp"
 #include "openvino/core/except.hpp"
 #include "openvino/core/model.hpp"
+#include "openvino/frontend/manager.hpp"
 
 namespace ov {
 namespace test {

src/core/tests/pass/serialization/tensor_names.cpp

@@ -4,10 +4,10 @@
 
 #include <gtest/gtest.h>
 
+#include "common_test_utils/graph_comparator.hpp"
 #include "openvino/opsets/opset8.hpp"
 #include "openvino/pass/serialize.hpp"
 #include "read_ir.hpp"
-#include "common_test_utils/graph_comparator.hpp"
 #include "util/test_common.hpp"
 
 class TensorNameSerializationTest : public ov::test::TestsCommon {

src/core/tests/type_prop/arithmetic_ops.hpp

@@ -147,7 +147,7 @@ TYPED_TEST_P(ArithmeticOperator, shape_inference_4D_x_3D_numpy_broadcast) {
 }
 
 TYPED_TEST_P(ArithmeticOperator, static_shape_pdpd_doc_examples) {
-// TODO: PDPD broadcast review, ticket: 93618
+    // TODO: PDPD broadcast review, ticket: 93618
     {
         auto A = std::make_shared<op::Parameter>(element::f32, Shape{2, 3, 4, 5});
         auto B = std::make_shared<op::Parameter>(element::f32, Shape{3, 4});
@@ -315,14 +315,13 @@ TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_equal_rank_broadcast_nu
 
     EXPECT_EQ(op->get_element_type(), element::f32);
     EXPECT_EQ(op->get_output_partial_shape(0),
-                (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
-
+              (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
 }
 
 TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_a_rank_smaller_broadcast_numpy) {
     // `A` rank smaller
-    auto A = std::make_shared<op::Parameter>(element::f32,
-                                                PartialShape{Dimension(1, 3), Dimension(4, 8), -1, 1, -1, 1, 3});
+    auto A =
+        std::make_shared<op::Parameter>(element::f32, PartialShape{Dimension(1, 3), Dimension(4, 8), -1, 1, -1, 1, 3});
     auto B = std::make_shared<op::Parameter>(
         element::f32,
         PartialShape{Dimension(1, 3), Dimension(2, 7), -1, 1, Dimension(1, 3), Dimension(4, 8), -1, 1, 3});
@@ -331,7 +330,7 @@ TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_a_rank_smaller_broadcas
 
     EXPECT_EQ(op->get_element_type(), element::f32);
     EXPECT_EQ(op->get_output_partial_shape(0),
-                (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
+              (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
 }
 
 TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_b_rank_smaller_broadcast_numpy) {
@@ -339,18 +338,18 @@ TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_b_rank_smaller_broadcas
     auto A = std::make_shared<op::Parameter>(
         element::f32,
         PartialShape{Dimension(1, 3), Dimension(2, 7), -1, 1, Dimension(1, 3), Dimension(4, 8), -1, 1, 3});
-    auto B = std::make_shared<op::Parameter>(element::f32,
-                                                PartialShape{Dimension(1, 3), Dimension(4, 8), -1, 1, -1, 1, 3});
+    auto B =
+        std::make_shared<op::Parameter>(element::f32, PartialShape{Dimension(1, 3), Dimension(4, 8), -1, 1, -1, 1, 3});
 
     const auto op = std::make_shared<TypeParam>(A, B);
 
     EXPECT_EQ(op->get_element_type(), element::f32);
     EXPECT_EQ(op->get_output_partial_shape(0),
-                (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
+              (PartialShape{Dimension(1, 3), Dimension(2, 7), -1, Dimension(4, 8), -1, Dimension(4, 8), -1, 1, 3}));
 }
 
 TYPED_TEST_P(ArithmeticOperator, dynamic_shape_intervals_broadcast_pdpd) {
-// TODO: PDPD broadcast review, ticket: 93618
+    // TODO: PDPD broadcast review, ticket: 93618
     {  // Equal rank
         auto A = std::make_shared<op::Parameter>(
             element::f32,

src/core/tests/type_prop/convert_color_i420_base.hpp

@@ -8,7 +8,6 @@
 #include "openvino/op/op.hpp"
 #include "openvino/opsets/opset8.hpp"
 
-
 using namespace ov;
 
 template <class T>

src/core/tests/type_prop/convert_color_nv12_base.hpp

@@ -8,7 +8,6 @@
 #include "openvino/op/op.hpp"
 #include "openvino/opsets/opset8.hpp"
 
-
 using namespace ov;
 
 template <class T>

src/core/tests/type_prop/log_softmax.cpp

@@ -9,52 +9,43 @@
 using namespace std;
 using namespace ngraph;
 
-TEST(type_prop, log_softmax)
-{
+TEST(type_prop, log_softmax) {
     auto data = make_shared<op::Parameter>(element::f32, Shape{1, 3, 6});
     auto log_softmax_func = make_shared<op::v5::LogSoftmax>(data, 1);
     EXPECT_EQ(log_softmax_func->get_element_type(), element::f32);
     EXPECT_EQ(log_softmax_func->get_shape(), (Shape{1, 3, 6}));
 }
 
-TEST(type_prop, log_softmax_incorrect_axis)
-{
+TEST(type_prop, log_softmax_incorrect_axis) {
     const auto data = make_shared<op::Parameter>(element::f32, Shape{1, 3, 6});
 
-    try
-    {
+    try {
         auto log_softmax_func = make_shared<op::v5::LogSoftmax>(data, 3);
         FAIL() << "LogSoftmax node was created with incorrect axis.";
-    }
-    catch (const NodeValidationFailure& error)
-    {
-        EXPECT_HAS_SUBSTRING(
-            error.what(),
-            std::string("Reduction axis (3) is out of bounds");
+    } catch (const NodeValidationFailure& error) {
+        EXPECT_HAS_SUBSTRING(error.what(), std::string("Reduction axis (3) is out of bounds"));
     }
 }
 
-TEST(type_prop, log_softmax_partial)
-{
+// TEST(type_prop, log_softmax_partial)
+// {
+//     auto data = make_shared<op::Parameter>(element::f32, PartialShape{1, Dimension::dynamic(), 6});
+//     auto log_softmax_func = make_shared<op::v5::LogSoftmax>(data, 1);
+//     EXPECT_EQ(log_softmax_func->get_element_type(), element::f32);
+//     ASSERT_TRUE(log_softmax_func->get_output_partial_shape(0).same_scheme(
+//         (PartialShape{1, Dimension::dynamic(), 6})));
+//
+//     // rank unknown
+//     auto log_softmax_partial = make_shared<op::v5::LogSoftmax>(
+//         make_shared<op::Parameter>(element::f32, PartialShape::dynamic()));
+//     ASSERT_TRUE(
+//         log_softmax_partial->get_output_partial_shape(0).same_scheme(PartialShape::dynamic()));
+// }
+
+TEST(type_prop, log_softmax_partial_static_rank) {
     auto data = make_shared<op::Parameter>(element::f32, PartialShape{1, Dimension::dynamic(), 6});
     auto log_softmax_func = make_shared<op::v5::LogSoftmax>(data, 1);
     EXPECT_EQ(log_softmax_func->get_element_type(), element::f32);
-    ASSERT_TRUE(log_softmax_func->get_output_partial_shape(0).same_scheme(
-        (PartialShape{1, Dimension::dynamic(), 6})));
-
-    // rank unknown
-    auto log_softmax_partial = make_shared<op::v5::LogSoftmax>(
-        make_shared<op::Parameter>(element::f32, PartialShape::dynamic()));
-    ASSERT_TRUE(
-        log_softmax_partial->get_output_partial_shape(0).same_scheme(PartialShape::dynamic()));
-}
-
-TEST(type_prop, log_softmax_partial_static_rank)
-{
-    auto data = make_shared<op::Parameter>(element::f32, PartialShape{1, Dimension::dynamic(), 6});
-    auto log_softmax_func = make_shared<op::v5::LogSoftmax>(data, 1);
-    EXPECT_EQ(log_softmax_func->get_element_type(), element::f32);
-    ASSERT_TRUE(log_softmax_func->get_output_partial_shape(0).same_scheme(
-        (PartialShape{1, Dimension::dynamic(), 6})));
+    ASSERT_TRUE(log_softmax_func->get_output_partial_shape(0).same_scheme((PartialShape{1, Dimension::dynamic(), 6})));
     ASSERT_TRUE(log_softmax_func->get_output_partial_shape(0).rank().is_static());
 }

src/core/tests/type_prop/logical_ops.hpp

@@ -9,24 +9,19 @@
 #include "util/type_prop.hpp"
 
 template <typename T, ngraph::element::Type_t ELEMENT_TYPE>
-class LogicalOperatorType
-{
+class LogicalOperatorType {
 public:
     using op_type = T;
     static constexpr ngraph::element::Type_t element_type = ELEMENT_TYPE;
 };
 
 template <typename T>
-class LogicalOperatorTypeProp : public testing::Test
-{
-};
+class LogicalOperatorTypeProp : public testing::Test {};
 
-class LogicalOperatorTypeName
-{
+class LogicalOperatorTypeName {
 public:
     template <typename T>
-    static std::string GetName(int)
-    {
+    static std::string GetName(int) {
         using OP_Type = typename T::op_type;
         const ngraph::Node::type_info_t typeinfo = OP_Type::get_type_info_static();
         return typeinfo.name;
@@ -35,77 +30,59 @@ public:
 
 TYPED_TEST_SUITE_P(LogicalOperatorTypeProp);
 
-namespace
-{
-    template <typename T>
-    void incorrect_init(const ngraph::element::Type& type,
-                        const std::string& err,
-                        const ngraph::Shape& shape1 = {1, 3, 6},
-                        const ngraph::Shape& shape2 = {1, 3, 6})
-    {
-        auto input1 = std::make_shared<ngraph::op::Parameter>(type, shape1);
-        auto input2 = std::make_shared<ngraph::op::Parameter>(type, shape2);
-        try
-        {
-            auto op = std::make_shared<T>(input1, input2);
-        }
-        catch (const ngraph::NodeValidationFailure& error)
-        {
-            EXPECT_HAS_SUBSTRING(error.what(), err);
-        }
+namespace {
+template <typename T>
+void incorrect_init(const ngraph::element::Type& type,
+                    const std::string& err,
+                    const ngraph::Shape& shape1 = {1, 3, 6},
+                    const ngraph::Shape& shape2 = {1, 3, 6}) {
+    auto input1 = std::make_shared<ngraph::op::Parameter>(type, shape1);
+    auto input2 = std::make_shared<ngraph::op::Parameter>(type, shape2);
+    try {
+        auto op = std::make_shared<T>(input1, input2);
+    } catch (const ngraph::NodeValidationFailure& error) {
+        EXPECT_HAS_SUBSTRING(error.what(), err);
     }
-} // namespace
+}
+}  // namespace
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_f32)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_f32) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::f32,
-        "Operands for logical operators must have boolean element type but have element type f32");
+    incorrect_init<OP_Type>(ngraph::element::f32,
+                            "Operands for logical operators must have boolean element type but have element type f32");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_f64)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_f64) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::f64,
-        "Operands for logical operators must have boolean element type but have element type f64");
+    incorrect_init<OP_Type>(ngraph::element::f64,
+                            "Operands for logical operators must have boolean element type but have element type f64");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_i32)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_i32) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::i32,
-        "Operands for logical operators must have boolean element type but have element type i32");
+    incorrect_init<OP_Type>(ngraph::element::i32,
+                            "Operands for logical operators must have boolean element type but have element type i32");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_i64)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_i64) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::i64,
-        "Operands for logical operators must have boolean element type but have element type i64");
+    incorrect_init<OP_Type>(ngraph::element::i64,
+                            "Operands for logical operators must have boolean element type but have element type i64");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_u32)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_u32) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::u32,
-        "Operands for logical operators must have boolean element type but have element type u32");
+    incorrect_init<OP_Type>(ngraph::element::u32,
+                            "Operands for logical operators must have boolean element type but have element type u32");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_u64)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_type_u64) {
     using OP_Type = typename TypeParam::op_type;
-    incorrect_init<OP_Type>(
-        ngraph::element::u64,
-        "Operands for logical operators must have boolean element type but have element type u64");
+    incorrect_init<OP_Type>(ngraph::element::u64,
+                            "Operands for logical operators must have boolean element type but have element type u64");
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_shape)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_shape) {
     using OP_Type = typename TypeParam::op_type;
     incorrect_init<OP_Type>(ngraph::element::boolean,
                             "Argument shapes are inconsistent",
@@ -113,14 +90,11 @@ TYPED_TEST_P(LogicalOperatorTypeProp, incorrect_shape)
                             ngraph::Shape{1, 2, 3});
 }
 
-TYPED_TEST_P(LogicalOperatorTypeProp, broadcast)
-{
+TYPED_TEST_P(LogicalOperatorTypeProp, broadcast) {
     using OP_Type = typename TypeParam::op_type;
 
-    auto input1 =
-        std::make_shared<ngraph::op::Parameter>(ngraph::element::boolean, ngraph::Shape{1, 1, 6});
-    auto input2 =
-        std::make_shared<ngraph::op::Parameter>(ngraph::element::boolean, ngraph::Shape{1, 3, 1});
+    auto input1 = std::make_shared<ngraph::op::Parameter>(ngraph::element::boolean, ngraph::Shape{1, 1, 6});
+    auto input2 = std::make_shared<ngraph::op::Parameter>(ngraph::element::boolean, ngraph::Shape{1, 3, 1});
 
     auto logical_and = std::make_shared<OP_Type>(input1, input2);
 

src/core/tests/type_prop/reduce_ops.hpp

@@ -9,8 +9,7 @@
 using namespace std;
 using namespace ngraph;
 
-struct ReduceParams
-{
+struct ReduceParams {
     PartialShape data_ps;
     element::Type data_et;
     Shape axes_ps;
@@ -20,18 +19,13 @@ struct ReduceParams
 };
 
 template <class T>
-static std::shared_ptr<Node> makeReduceOp(const ReduceParams& p, bool axes_as_param = false)
-{
+static std::shared_ptr<Node> makeReduceOp(const ReduceParams& p, bool axes_as_param = false) {
     auto in_data = make_shared<op::Parameter>(p.data_et, p.data_ps);
     shared_ptr<Node> in_axes;
-    if (axes_as_param)
-    {
+    if (axes_as_param) {
         in_axes = make_shared<op::Parameter>(p.axes_et, p.axes_ps);
-    }
-    else
-    {
-        if (shape_size(p.axes_ps) != p.axes.size())
-        {
+    } else {
+        if (shape_size(p.axes_ps) != p.axes.size()) {
             throw ngraph_error("Axes shape does not match with axes elements");
         }
         in_axes = make_shared<op::Constant>(p.axes_et, p.axes_ps, p.axes);
@@ -40,14 +34,11 @@ static std::shared_ptr<Node> makeReduceOp(const ReduceParams& p, bool axes_as_pa
 }
 
 template <class T>
-class ReduceTest : public testing::Test
-{
-};
+class ReduceTest : public testing::Test {};
 
 TYPED_TEST_SUITE_P(ReduceTest);
 
-TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer)
-{
+TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer) {
     PartialShape data_ps{3, 4, 5};
     element::Type data_et = element::dynamic;
 
@@ -64,8 +55,7 @@ TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_keep_dims)
-{
+TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_keep_dims) {
     PartialShape data_ps{3, 4, 5};
     element::Type data_et = element::dynamic;
 
@@ -82,8 +72,7 @@ TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_keep_dims)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_scalar_axis)
-{
+TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_scalar_axis) {
     PartialShape data_ps{3, 4, 5};
     element::Type data_et = element::dynamic;
 
@@ -100,8 +89,7 @@ TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_scalar_axis)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_axes_as_param)
-{
+TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_axes_as_param) {
     PartialShape data_ps{3, 4, 5};
     element::Type data_et = element::dynamic;
 
@@ -119,8 +107,7 @@ TYPED_TEST_P(ReduceTest, reduce_basic_shape_infer_axes_as_param)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static)
-{
+TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static) {
     PartialShape data_ps{3, 4, 5, Dimension::dynamic()};
     element::Type data_et = element::dynamic;
 
@@ -137,8 +124,7 @@ TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static_keep_dims)
-{
+TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static_keep_dims) {
     PartialShape data_ps{3, 4, 5, Dimension::dynamic()};
     element::Type data_et = element::dynamic;
 
@@ -155,8 +141,7 @@ TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_static_keep_dims)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static)
-{
+TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static) {
     PartialShape data_ps{Dimension::dynamic(), 4, 5, Dimension::dynamic()};
     element::Type data_et = element::dynamic;
 
@@ -173,8 +158,7 @@ TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static_keep_dims)
-{
+TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static_keep_dims) {
     PartialShape data_ps{Dimension::dynamic(), 4, 5, Dimension::dynamic()};
     element::Type data_et = element::dynamic;
 
@@ -191,8 +175,7 @@ TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_reduced_axes_not_static_keep_dims)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_data)
-{
+TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_data) {
     PartialShape data_ps{PartialShape::dynamic()};
     element::Type data_et = element::dynamic;
 
@@ -209,8 +192,7 @@ TYPED_TEST_P(ReduceTest, reduce_dynamic_shape_data)
     ASSERT_EQ(reduce_op->get_output_partial_shape(0), out_ps);
 }
 
-TYPED_TEST_P(ReduceTest, reduce_invalid_axis_out_of_range)
-{
+TYPED_TEST_P(ReduceTest, reduce_invalid_axis_out_of_range) {
     PartialShape data_ps{1, 2, 3};
     element::Type data_et = element::dynamic;
 
@@ -221,23 +203,17 @@ TYPED_TEST_P(ReduceTest, reduce_invalid_axis_out_of_range)
     bool keep_dims = false;
 
     const ReduceParams params{data_ps, data_et, axes_ps, axes, axes_et, keep_dims};
-    try
-    {
+    try {
         auto reduce_op = makeReduceOp<TypeParam>(params);
         FAIL() << "Invalid axes values not detected";
-    }
-    catch (const NodeValidationFailure& error)
-    {
+    } catch (const NodeValidationFailure& error) {
         EXPECT_HAS_SUBSTRING(error.what(), "out of the tensor rank range");
-    }
-    catch (...)
-    {
+    } catch (...) {
         FAIL() << "Axes input values validation check failed for unexpected reason";
     }
 }
 
-TYPED_TEST_P(ReduceTest, reduce_invalid_axes_shape)
-{
+TYPED_TEST_P(ReduceTest, reduce_invalid_axes_shape) {
     PartialShape data_ps{1, 2, 3};
     element::Type data_et = element::dynamic;
 
@@ -248,23 +224,17 @@ TYPED_TEST_P(ReduceTest, reduce_invalid_axes_shape)
     bool keep_dims = true;
 
     const ReduceParams params{data_ps, data_et, axes_ps, axes, axes_et, keep_dims};
-    try
-    {
+    try {
         auto reduce_op = makeReduceOp<TypeParam>(params);
         FAIL() << "Invalid shape of axes input not detected";
-    }
-    catch (const NodeValidationFailure& error)
-    {
+    } catch (const NodeValidationFailure& error) {
         EXPECT_HAS_SUBSTRING(error.what(), "Axes input must be a scalar or 1D input.");
-    }
-    catch (...)
-    {
+    } catch (...) {
         FAIL() << "Axes input shape validation check failed for unexpected reason";
     }
 }
 
-TYPED_TEST_P(ReduceTest, reduce_invalid_axes_et)
-{
+TYPED_TEST_P(ReduceTest, reduce_invalid_axes_et) {
     element::Type data_et = element::dynamic;
     PartialShape data_ps{1, 2, 3};
 
@@ -275,17 +245,12 @@ TYPED_TEST_P(ReduceTest, reduce_invalid_axes_et)
     bool keep_dims = true;
 
     const ReduceParams params{data_ps, data_et, axes_ps, axes, axes_et, keep_dims};
-    try
-    {
+    try {
         auto reduce_op = makeReduceOp<TypeParam>(params);
         FAIL() << "Invalid element type of axes input not detected";
-    }
-    catch (const NodeValidationFailure& error)
-    {
+    } catch (const NodeValidationFailure& error) {
         EXPECT_HAS_SUBSTRING(error.what(), "Element type of axes input must be integer.");
-    }
-    catch (...)
-    {
+    } catch (...) {
         FAIL() << "Axes input element type validation check failed for unexpected reason";
     }
 }
@@ -305,14 +270,11 @@ REGISTER_TYPED_TEST_SUITE_P(ReduceTest,
                             reduce_invalid_axes_et);
 
 template <class T>
-class ReduceArithmeticTest : public testing::Test
-{
-};
+class ReduceArithmeticTest : public testing::Test {};
 
 TYPED_TEST_SUITE_P(ReduceArithmeticTest);
 
-TYPED_TEST_P(ReduceArithmeticTest, reduce_arithmetic_invalid_data_et)
-{
+TYPED_TEST_P(ReduceArithmeticTest, reduce_arithmetic_invalid_data_et) {
     element::Type data_et = element::boolean;
     PartialShape data_ps{1, 2, 3};
 
@@ -323,17 +285,12 @@ TYPED_TEST_P(ReduceArithmeticTest, reduce_arithmetic_invalid_data_et)
     bool keep_dims = true;
 
     const ReduceParams params{data_ps, data_et, axes_ps, axes, axes_et, keep_dims};
-    try
-    {
+    try {
         auto reduce_op = makeReduceOp<TypeParam>(params);
         FAIL() << "Invalid element type of data input not detected";
-    }
-    catch (const NodeValidationFailure& error)
-    {
+    } catch (const NodeValidationFailure& error) {
         EXPECT_HAS_SUBSTRING(error.what(), "Element type of data input must be numeric.");
-    }
-    catch (...)
-    {
+    } catch (...) {
         FAIL() << "Data input element type validation check failed for unexpected reason";
     }
 }
@@ -341,14 +298,11 @@ TYPED_TEST_P(ReduceArithmeticTest, reduce_arithmetic_invalid_data_et)
 REGISTER_TYPED_TEST_SUITE_P(ReduceArithmeticTest, reduce_arithmetic_invalid_data_et);
 
 template <class T>
-class ReduceLogicalTest : public testing::Test
-{
-};
+class ReduceLogicalTest : public testing::Test {};
 
 TYPED_TEST_SUITE_P(ReduceLogicalTest);
 
-TYPED_TEST_P(ReduceLogicalTest, reduce_logical_invalid_data_et)
-{
+TYPED_TEST_P(ReduceLogicalTest, reduce_logical_invalid_data_et) {
     std::vector<element::Type> element_types{element::f32, element::i32, element::u32};
     PartialShape data_ps{1, 2, 3};
 
@@ -358,20 +312,14 @@ TYPED_TEST_P(ReduceLogicalTest, reduce_logical_invalid_data_et)
 
     bool keep_dims = true;
 
-    for (const auto& data_et : element_types)
-    {
+    for (const auto& data_et : element_types) {
         const ReduceParams params{data_ps, data_et, axes_ps, axes, axes_et, keep_dims};
-        try
-        {
+        try {
             auto reduce_op = makeReduceOp<TypeParam>(params);
             FAIL() << "Invalid element type of data input not detected";
-        }
-        catch (const NodeValidationFailure& error)
-        {
+        } catch (const NodeValidationFailure& error) {
             EXPECT_HAS_SUBSTRING(error.what(), "Element type of data input must be boolean.");
-        }
-        catch (...)
-        {
+        } catch (...) {
             FAIL() << "Data input element type validation check failed for unexpected reason";
         }
     }

src/core/tests/type_prop/unary_ops.hpp

@@ -7,7 +7,6 @@
 #include "gtest/gtest.h"
 #include "ngraph/ngraph.hpp"
 
-
 using namespace ngraph;
 
 template <class T>

src/core/tests/visitors/op/binary_ops.hpp

@@ -8,24 +8,19 @@
 #include "util/visitor.hpp"
 
 template <typename T, ngraph::element::Type_t ELEMENT_TYPE>
-class BinaryOperatorType
-{
+class BinaryOperatorType {
 public:
     using op_type = T;
     static constexpr ngraph::element::Type_t element_type = ELEMENT_TYPE;
 };
 
 template <typename T>
-class BinaryOperatorVisitor : public testing::Test
-{
-};
+class BinaryOperatorVisitor : public testing::Test {};
 
-class BinaryOperatorTypeName
-{
+class BinaryOperatorTypeName {
 public:
     template <typename T>
-    static std::string GetName(int)
-    {
+    static std::string GetName(int) {
         using OP_Type = typename T::op_type;
         constexpr ngraph::element::Type precision(T::element_type);
         const ngraph::Node::type_info_t typeinfo = OP_Type::get_type_info_static();
@@ -35,16 +30,13 @@ public:
 
 TYPED_TEST_SUITE_P(BinaryOperatorVisitor);
 
-TYPED_TEST_P(BinaryOperatorVisitor, Auto_Broadcast)
-{
+TYPED_TEST_P(BinaryOperatorVisitor, Auto_Broadcast) {
     using OP_Type = typename TypeParam::op_type;
     const ngraph::element::Type_t element_type = TypeParam::element_type;
 
     ngraph::test::NodeBuilder::get_ops().register_factory<OP_Type>();
-    const auto A =
-        std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
-    const auto B =
-        std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{3, 2, 1});
+    const auto A = std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
+    const auto B = std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{3, 2, 1});
 
     auto auto_broadcast = ngraph::op::AutoBroadcastType::NUMPY;
 
@@ -57,16 +49,13 @@ TYPED_TEST_P(BinaryOperatorVisitor, Auto_Broadcast)
     EXPECT_EQ(op_func->get_autob(), g_op_func->get_autob());
 }
 
-TYPED_TEST_P(BinaryOperatorVisitor, No_Broadcast)
-{
+TYPED_TEST_P(BinaryOperatorVisitor, No_Broadcast) {
     using OP_Type = typename TypeParam::op_type;
     const ngraph::element::Type_t element_type = TypeParam::element_type;
 
     ngraph::test::NodeBuilder::get_ops().register_factory<OP_Type>();
-    const auto A =
-        std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
-    const auto B =
-        std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
+    const auto A = std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
+    const auto B = std::make_shared<ngraph::op::Parameter>(element_type, ngraph::PartialShape{1, 2, 3});
 
     const auto op_func = std::make_shared<OP_Type>(A, B);
     ngraph::test::NodeBuilder builder(op_func, {A, B});

src/core/tests/visitors/op/is_finite.cpp

@@ -2,10 +2,9 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
-#include "unary_ops.hpp"
 #include "openvino/opsets/opset10.hpp"
+#include "unary_ops.hpp"
 
 using Types = ::testing::Types<UnaryOperatorType<ov::op::v10::IsFinite, ngraph::element::f32>>;
 
 INSTANTIATE_TYPED_TEST_SUITE_P(visitor_without_attribute, UnaryOperatorVisitor, Types, UnaryOperatorTypeName);
-

src/core/tests/visitors/op/reduce_ops.hpp

@@ -3,10 +3,8 @@
 //
 
 #include "gtest/gtest.h"
-
 #include "ngraph/ngraph.hpp"
 #include "ngraph/op/util/attr_types.hpp"
-
 #include "util/visitor.hpp"
 
 using namespace std;
@@ -15,24 +13,19 @@ using ngraph::test::NodeBuilder;
 using ngraph::test::ValueMap;
 
 template <typename T, ngraph::element::Type_t ELEMENT_TYPE>
-class ReduceOperatorType
-{
+class ReduceOperatorType {
 public:
     using op_type = T;
     static constexpr ngraph::element::Type_t element_type = ELEMENT_TYPE;
 };
 
 template <typename T>
-class ReduceOperatorVisitor : public ::testing::Test
-{
-};
+class ReduceOperatorVisitor : public ::testing::Test {};
 
-class ReduceOperatorTypeName
-{
+class ReduceOperatorTypeName {
 public:
     template <typename T>
-    static std::string GetName(int)
-    {
+    static std::string GetName(int) {
         using OP_Type = typename T::op_type;
         constexpr ngraph::element::Type precision(T::element_type);
         const ngraph::Node::type_info_t typeinfo = OP_Type::get_type_info_static();
@@ -42,8 +35,7 @@ public:
 
 TYPED_TEST_SUITE_P(ReduceOperatorVisitor);
 
-TYPED_TEST_P(ReduceOperatorVisitor, keep_dims_3D)
-{
+TYPED_TEST_P(ReduceOperatorVisitor, keep_dims_3D) {
     using OP_Type = typename TypeParam::op_type;
 
     Shape in_shape{3, 4, 5};
@@ -66,8 +58,7 @@ TYPED_TEST_P(ReduceOperatorVisitor, keep_dims_3D)
     EXPECT_EQ(g_reduce_op->get_keep_dims(), reduce_op->get_keep_dims());
 }
 
-TYPED_TEST_P(ReduceOperatorVisitor, do_not_keep_dims_3D)
-{
+TYPED_TEST_P(ReduceOperatorVisitor, do_not_keep_dims_3D) {
     using OP_Type = typename TypeParam::op_type;
 
     Shape in_shape{3, 4, 5};
@@ -90,6 +81,4 @@ TYPED_TEST_P(ReduceOperatorVisitor, do_not_keep_dims_3D)
     EXPECT_EQ(g_reduce_op->get_keep_dims(), reduce_op->get_keep_dims());
 }
 
-REGISTER_TYPED_TEST_SUITE_P(ReduceOperatorVisitor,
-                            keep_dims_3D,
-                            do_not_keep_dims_3D);
+REGISTER_TYPED_TEST_SUITE_P(ReduceOperatorVisitor, keep_dims_3D, do_not_keep_dims_3D);

src/frontends/ir/tests/CMakeLists.txt

@@ -18,5 +18,6 @@ ov_add_test_target(
             "${CMAKE_CURRENT_SOURCE_DIR}/../include"
         ADD_CLANG_FORMAT
         LABELS
-            IR_FRONTEND
+            OV
+            IR_FE
 )

src/frontends/onnx/tests/CMakeLists.txt

@@ -122,6 +122,8 @@ foreach(BACKEND_NAME ${ACTIVE_BACKEND_LIST})
 endforeach()
 
 add_executable(ov_onnx_frontend_tests ${SRC})
+add_test(NAME ov_onnx_frontend_tests COMMAND ov_onnx_frontend_tests)
+set_property(TEST ov_onnx_frontend_tests PROPERTY LABELS OV ONNX_FE)
 
 add_dependencies(ov_onnx_frontend_tests template_extension)
 

src/frontends/paddle/tests/CMakeLists.txt

@@ -4,19 +4,24 @@
 
 set(TARGET_NAME "paddle_tests")
 
-file(GLOB SRC ${CMAKE_CURRENT_SOURCE_DIR}/*.cpp)
-
-add_executable(${TARGET_NAME} ${SRC})
-
-target_link_libraries(${TARGET_NAME} PRIVATE cnpy frontend_shared_test_classes
-    openvino_paddle_frontend openvino::runtime gtest_main_manifest)
-
-add_clang_format_target(${TARGET_NAME}_clang FOR_TARGETS ${TARGET_NAME})
-
-install(TARGETS ${TARGET_NAME}
-        RUNTIME DESTINATION tests
-        COMPONENT tests
-        EXCLUDE_FROM_ALL)
+ov_add_test_target(
+    NAME ${TARGET_NAME}
+        ROOT ${CMAKE_CURRENT_SOURCE_DIR}
+        DEPENDENCIES
+            paddle_test_models
+            openvino_paddle_frontend
+            paddle_fe_standalone_build_test
+        LINK_LIBRARIES
+            cnpy 
+            frontend_shared_test_classes
+            openvino_paddle_frontend 
+            openvino::runtime 
+            gtest_main_manifest
+        ADD_CLANG_FORMAT
+        LABELS
+            OV
+            PADDLE_FE
+)
 
 # Test model generating
 ov_check_pip_packages(REQUIREMENTS_FILE "${CMAKE_CURRENT_SOURCE_DIR}/requirements.txt"
@@ -72,13 +77,9 @@ else()
     add_custom_target(paddle_test_models DEPENDS unable_build_paddle_models.txt)
 endif()
 
-add_dependencies(${TARGET_NAME} paddle_test_models)
-add_dependencies(${TARGET_NAME} openvino_paddle_frontend)
-
 # Fuzzy tests for PaddlePaddle use IE_CPU engine
 if(ENABLE_INTEL_CPU)
     add_dependencies(${TARGET_NAME} openvino_intel_cpu_plugin)
 endif()
 
 add_subdirectory(standalone_build)
-add_dependencies(${TARGET_NAME} paddle_fe_standalone_build_test)

src/frontends/paddle/tests/paddle_utils.hpp

@@ -7,4 +7,3 @@
 #include <string>
 
 static const std::string PADDLE_FE = "paddle";
-

src/frontends/tensorflow/tests/CMakeLists.txt

@@ -4,20 +4,22 @@
 
 set(TARGET_NAME "ov_tensorflow_frontend_tests")
 
-file(GLOB SRC ${CMAKE_CURRENT_SOURCE_DIR}/*.cpp)
-
-add_executable(${TARGET_NAME} ${SRC})
-
-target_link_libraries(${TARGET_NAME} PRIVATE
-        gtest_main_manifest frontend_shared_test_classes openvino_tensorflow_frontend
-        openvino_tensorflow_frontend_static_tests)
-
-add_clang_format_target(${TARGET_NAME}_clang FOR_TARGETS ${TARGET_NAME})
-
-install(TARGETS ${TARGET_NAME}
-        RUNTIME DESTINATION tests
-        COMPONENT tests
-        EXCLUDE_FROM_ALL)
+ov_add_test_target(
+    NAME ${TARGET_NAME}
+        ROOT ${CMAKE_CURRENT_SOURCE_DIR}
+        DEPENDENCIES
+            tensorflow_test_models
+            tensorflow_fe_standalone_build_test
+        LINK_LIBRARIES
+            gtest_main_manifest 
+            frontend_shared_test_classes 
+            openvino_tensorflow_frontend 
+            openvino_tensorflow_frontend_static_tests
+        ADD_CLANG_FORMAT
+        LABELS
+            OV
+            TF_FE
+)
 
 # Test model generating
 ov_check_pip_package(REQUIREMENT tensorflow
@@ -67,12 +69,9 @@ else()
     add_custom_target(tensorflow_test_models DEPENDS unable_build_tensorflow_models.txt)
 endif()
 
-add_dependencies(${TARGET_NAME} tensorflow_test_models)
-
 get_target_property(TENSORFLOW_FRONTEND_SRC_DIR openvino_tensorflow_frontend SOURCE_DIR)
 
 add_subdirectory(standalone_build)
-add_dependencies(${TARGET_NAME} tensorflow_fe_standalone_build_test)
 
 #
 # Install TensorFlow frontend for tests reasons

src/tests/functional/inference_engine/CMakeLists.txt

@@ -63,6 +63,7 @@ addIeTargetTest(
         DEPENDENCIES ${DEPENDENCIES}
         LABELS
         IE
+        OV
 )
 
 target_compile_definitions(${TARGET_NAME} PRIVATE $<$<BOOL:${BUILD_SHARED_LIBS}>:"BUILD_SHARED_LIBS">)

src/tests/unit/inference_engine/CMakeLists.txt

@@ -24,6 +24,7 @@ addIeTargetTest(
             mock_engine
         LABELS
             IE
+            OV
 )
 
 if(SUGGEST_OVERRIDE_SUPPORTED)