Deprecate legacy Core and Allocator (#17646)

* Deprecate legacy Core and Allocator

* Suppress blob warnings

* Suppress some warnings

* Suppress more warnings

* Suppress blob allocator

* Suppress more warnings

* Suppress more warnings

* Fixed compilation issues for Template plugin

* Fixed some warnings

* Fixed tests

* Add WA for benchmark_app

* Suppress #warning for developer package

* Rename define

* Disable warnings for compile_tool and benchmark_app

* Suppress Windows warnings

* Suppress more warnings for Windows

* Fixed compile_tool install

* Added message for VS

* Fixed snippets and throw only first error

cmake/developer_package/compile_flags/os_flags.cmake

@@ -54,6 +54,8 @@ macro(ov_deprecated_no_errors)
         endif()
     elseif(OV_COMPILER_IS_CLANG OR CMAKE_COMPILER_IS_GNUCXX)
         set(ie_c_cxx_deprecated_no_errors "-Wno-error=deprecated-declarations")
+        # Suppress #warning messages
+        set(ie_c_cxx_deprecated_no_errors "${ie_c_cxx_deprecated_no_errors} -Wno-cpp")
     else()
         message(WARNING "Unsupported CXX compiler ${CMAKE_CXX_COMPILER_ID}")
     endif()

docs/snippets/AUTO1.cpp

@@ -1,30 +0,0 @@
-#include <ie_core.hpp>
-
-int main() {
-{
-//! [part1]
-// Inference Engine API
-InferenceEngine::Core ie;
-
-// Read a network in IR, PaddlePaddle, or ONNX format:
-InferenceEngine::CNNNetwork network = ie.ReadNetwork("sample.xml");
-
-// Load a network to AUTO using the default list of device candidates.
-// The following lines are equivalent:
-InferenceEngine::ExecutableNetwork exec0 = ie.LoadNetwork(network);
-InferenceEngine::ExecutableNetwork exec1 = ie.LoadNetwork(network, "AUTO");
-InferenceEngine::ExecutableNetwork exec2 = ie.LoadNetwork(network, "AUTO", {});
-
-// Optional
-// You can also specify the devices to be used by AUTO in its selection process.
-// The following lines are equivalent:
-InferenceEngine::ExecutableNetwork exec3 = ie.LoadNetwork(network, "AUTO:GPU,CPU");
-InferenceEngine::ExecutableNetwork exec4 = ie.LoadNetwork(network, "AUTO", {{"MULTI_DEVICE_PRIORITIES", "GPU,CPU"}});
-
-// Optional
-// the AUTO plugin is pre-configured (globally) with the explicit option:
-ie.SetConfig({{"MULTI_DEVICE_PRIORITIES", "GPU,CPU"}}, "AUTO");
-//! [part1]
-}
-    return 0;
-}

docs/snippets/AUTO2.cpp

@@ -1,12 +0,0 @@
-#include <ie_core.hpp>
-
-int main() {
-{
-//! [part2]
-InferenceEngine::Core ie;
-InferenceEngine::CNNNetwork network = ie.ReadNetwork("sample.xml");
-InferenceEngine::ExecutableNetwork exeNetwork = ie.LoadNetwork(network, "AUTO");
-//! [part2]
-}
-    return 0;
-}

docs/snippets/CPU_Kernel.cpp

@@ -1,14 +0,0 @@
-#include <ie_core.hpp>
-
-int main() {
-using namespace InferenceEngine;
-//! [part0]
-InferenceEngine::Core core;
-// Load CPU extension as a shared library
-auto extension_ptr = std::make_shared<InferenceEngine::Extension>(std::string{"<shared lib path>"});
-// Add extension to the CPU device
-core.AddExtension(extension_ptr, "CPU");
-//! [part0]
-
-return 0;
-}

docs/snippets/MULTI1.cpp

@@ -1,27 +0,0 @@
-#include <openvino/openvino.hpp>
-
-int main() {
-//! [part1]
-ov::Core core;
-std::shared_ptr<ov::Model> model = core.read_model("sample.xml");
-ov::CompiledModel compileModel = core.compile_model(model, "MULTI:CPU,GPU");
-
-// Once the priority list is set, you can alter it on the fly:
-// reverse the order of priorities
-compileModel.set_property(ov::device::priorities("GPU,CPU"));
-
-// exclude some devices (in this case, CPU)
-compileModel.set_property(ov::device::priorities("GPU"));
-
-// bring back the excluded devices
-compileModel.set_property(ov::device::priorities("GPU,CPU"));
-
-// You cannot add new devices on the fly!
-// Attempting to do so will trigger the following exception:
-// [ ERROR ] [NOT_FOUND] You can only change device
-// priorities but not add new devices with the model's
-// ov::device::priorities. CPU device was not in the original device list!
-
-//! [part1]
-return 0;
-}

docs/snippets/cpu/Bfloat16Inference1.cpp

@@ -1,7 +1,6 @@
 #include <openvino/runtime/core.hpp>
 
 int main() {
-using namespace InferenceEngine;
 //! [part1]
 ov::Core core;
 auto network = core.read_model("sample.xml");

docs/snippets/cpu/Bfloat16Inference2.cpp

@@ -1,7 +1,6 @@
 #include <openvino/runtime/core.hpp>
 
 int main() {
-using namespace InferenceEngine;
 //! [part2]
 ov::Core core;
 core.set_property("CPU", ov::hint::inference_precision(ov::element::f32));

docs/snippets/dldt_optimization_guide8.cpp

@@ -1,5 +1,3 @@
-#include <ie_core.hpp>
-
 int main() {
 //! [part8]
 while(true) {

docs/snippets/dldt_optimization_guide9.cpp

@@ -1,5 +1,3 @@
-#include <ie_core.hpp>
-
 int main() {
 //! [part9]
 while(true) {

docs/snippets/example_async_infer_request.cpp

@@ -2,10 +2,20 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <threading/ie_itask_executor.hpp>
 #include <cpp_interfaces/impl/ie_infer_async_request_thread_safe_default.hpp>
 #include <memory>
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 using namespace InferenceEngine;
 
 class AcceleratorSyncRequest : public IInferRequestInternal {

docs/snippets/example_itask_executor.cpp

@@ -2,8 +2,17 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
 #include <threading/ie_cpu_streams_executor.hpp>
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <memory>
 #include <future>
 #include <iostream>

docs/snippets/example_ngraph_utils.cpp

@@ -1,155 +0,0 @@
-// Copyright (C) 2020 Intel Corporation
-// SPDX-License-Identifier: Apache-2.0
-//
-
-#include <memory>
-
-#include <ngraph/rt_info.hpp>
-#include <openvino/pass/pattern/op/wrap_type.hpp>
-#include <openvino/pass/manager.hpp>
-#include <openvino/pass/visualize_tree.hpp>
-#include <openvino/pass/serialize.hpp>
-#include <transformations/common_optimizations/common_optimizations.hpp>
-#include <transformations/op_conversions/convert_gelu.hpp>
-#include <transformations/op_conversions/convert_space_to_depth.hpp>
-#include <transformations/op_conversions/convert_depth_to_space.hpp>
-#include <transformations/op_conversions/convert_pad_to_group_conv.hpp>
-
-// ! [ov:include]
-#include <openvino/core/model.hpp>
-#include <openvino/opsets/opset8.hpp>
-// ! [ov:include]
-
-bool ngraph_api_examples(std::shared_ptr<ov::Node> node) {
-{
-// ! [ngraph:ports_example]
-// Let's suppose that node is opset8::Convolution operation
-// as we know opset8::Convolution has two input ports (data, weights) and one output port
-ov::Input<ov::Node> data = node->input(0);
-ov::Input<ov::Node> weights = node->input(1);
-ov::Output<ov::Node> output = node->output(0);
-
-// Getting shape and type
-auto pshape = data.get_partial_shape();
-auto el_type = data.get_element_type();
-
-// Getting parent for input port
-ov::Output<ov::Node> parent_output;
-parent_output = data.get_source_output();
-
-// Another short way to get partent for output port
-parent_output = node->input_value(0);
-
-// Getting all consumers for output port
-auto consumers = output.get_target_inputs();
-// ! [ngraph:ports_example]
-(void)el_type;
-(void)pshape;
-}
-
-{
-// ! [ngraph:shape_check]
-auto partial_shape = node->input(0).get_partial_shape(); // get zero input partial shape
-
-// Check that input shape rank is static
-if (!partial_shape.rank().is_static()) {
-    return false;
-}
-auto rank_size = partial_shape.rank().get_length();
-
-// Check that second dimension is not dynamic
-if (rank_size < 2 || partial_shape[1].is_dynamic()) {
-    return false;
-}
-auto dim = partial_shape[1].get_length();
-// ! [ngraph:shape_check]
-}
-
-return true;
-}
-
-// ! [ov:serialize]
-void serialize_example(std::shared_ptr<ov::Model> f) {
-    ov::pass::Manager manager;
-
-    // Serialize ov::Function to before.svg file before transformation
-    manager.register_pass<ov::pass::VisualizeTree>("/path/to/file/before.svg");
-
-    // Run your transformation
-    // manager.register_pass<ov::pass::MyTransformation>();
-
-    // Serialize ov::Function to after.svg file after transformation
-    manager.register_pass<ov::pass::VisualizeTree>("/path/to/file/after.svg");
-
-    manager.run_passes(f);
-}
-// ! [ov:serialize]
-
-// ! [ov:visualize]
-void visualization_example(std::shared_ptr<ov::Model> f) {
-    ov::pass::Manager manager;
-
-    // Serialize ov::Function to IR
-    manager.register_pass<ov::pass::Serialize>("/path/to/file/model.xml", "/path/to/file/model.bin");
-
-    manager.run_passes(f);
-}
-// ! [ov:visualize]
-
-void pass_manager_example1(std::shared_ptr<ov::Model> f) {
-// ! [ngraph:disable_gelu]
-ov::pass::Manager manager;
-manager.register_pass<ov::pass::CommonOptimizations>();
-
-auto pass_config = manager.get_pass_config();
-pass_config->disable<ov::pass::ConvertGELU>();
-
-manager.run_passes(f);
-// ! [ngraph:disable_gelu]
-}
-
-void pass_manager_example2(std::shared_ptr<ov::Model> f) {
-    ov::pass::Manager manager;
-    std::function<bool(const std::shared_ptr<const ov::Node>)> transformation_callback;
-// ! [ngraph:disable_callback]
-// Set callback to particular transformation with specific condition
-auto pass_config = manager.get_pass_config();
-pass_config->set_callback<ov::pass::ConvertSpaceToDepth,
-                          ov::pass::ConvertDepthToSpace>(
-        [](const std::shared_ptr<const ov::Node> &node) -> bool {
-            return node->input_value(0).get_shape().size() <= 5lu &&
-                   node->input_value(0).get_shape().size() == node->get_output_shape(0).size();
-        });
-
-// Update transformation to call callback
-ov::matcher_pass_callback callback = [=](ov::pass::pattern::Matcher &m) {
-    auto node = m.get_match_root();
-    if (transformation_callback(node)) {
-        return false;
-    }
-    // transformation code
-    return false;
-};
-// ! [ngraph:disable_callback]
-}
-
-void pass_manager_example3(std::shared_ptr<ov::Model> f) {
-    std::function<bool(const std::shared_ptr<const ov::Node>)> transformation_callback;
-// ! [ngraph:disabled_by_default]
-// Example of disabled by default transformation
-{
-    ov::pass::Manager manager;
-    manager.register_pass<ov::pass::ConvertPadToGroupConvolution, false>();
-    manager.run_passes(f);
-}
-
-// Enable disabled by default transformation inside plugin
-{
-    ov::pass::Manager manager;
-    manager.register_pass<ov::pass::CommonOptimizations>();
-    auto pass_config = manager.get_pass_config();
-    pass_config->enable<ov::pass::ConvertPadToGroupConvolution>();
-    manager.run_passes(f);
-}
-// ! [ngraph:disabled_by_default]
-}

docs/snippets/ie_common.cpp

@@ -2,8 +2,18 @@
 // SPDX-License-Identifier: Apache-2.0
 //
 
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <ie_core.hpp>
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 int main() {
     //! [ie:create_core]
     InferenceEngine::Core core;

docs/snippets/lpt_intel_cpu_plugin.cpp

@@ -1,5 +1,3 @@
-#include <ie_core.hpp>
-
 #include <transformations/low_precision/mark_dequantization_subgraph.hpp>
 
 #include <low_precision/common/quantization_granularity_restriction.hpp>

docs/snippets/ov_common.cpp

@@ -1,8 +1,18 @@
 // Copyright (C) 2018-2021 Intel Corporation
 // SPDX-License-Identifier: Apache-2.0
 //
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <ie_extension.h>
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <openvino/core/core.hpp>
 #include <openvino/runtime/runtime.hpp>
 

docs/snippets/ov_preprocessing_migration.cpp

@@ -5,8 +5,18 @@
 #include <openvino/opsets/opset8.hpp>
 #include <openvino/core/preprocess/pre_post_process.hpp>
 
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include "inference_engine.hpp"
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 int main_new() {
     std::string model_path;
     std::string tensor_name;

docs/snippets/ov_properties_migration.cpp

@@ -1,6 +1,16 @@
 #include <openvino/runtime/core.hpp>
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <inference_engine.hpp>
 
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif
+
 int main_new() {
     ov::Core core;
 

src/CMakeLists.txt

@@ -2,6 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0
 #
 
+add_definitions(-DIN_OV_COMPONENT)
 add_definitions(-DPROJECT_ROOT_DIR="${OpenVINO_SOURCE_DIR}")
 
 include(cmake/install_tbb.cmake)

src/core/src/runtime/blob_allocator.hpp

@@ -10,6 +10,7 @@
 #include "openvino/runtime/common.hpp"
 #include "system_allocator.hpp"  // IE private header
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 struct BlobAllocator : public IAllocator {
     BlobAllocator(const ov::Allocator& impl) : _impl{impl} {}
@@ -79,3 +80,4 @@ struct BlobAllocator {
     std::shared_ptr<ie::IAllocator> _impl;
 };
 }  // namespace ov
+IE_SUPPRESS_DEPRECATED_END

src/inference/dev_api/blob_factory.hpp

@@ -18,6 +18,7 @@
 #include "ie_memcpy.h"
 #include "ie_preprocess.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
 /**
  * @private
  */
@@ -147,3 +148,4 @@ void CopyVectorToBlob(const InferenceEngine::Blob::Ptr outputBlob, const std::ve
         IE_THROW() << "Element size mismatch between blob and vector";
     ie_memcpy(outputBlob->buffer().as<T*>(), outputBlob->byteSize(), &inputVector[0], inputVector.size() * sizeof(T));
 }
+IE_SUPPRESS_DEPRECATED_END

src/inference/dev_api/cpp_interfaces/interface/ie_iinfer_request_internal.hpp

@@ -18,6 +18,7 @@
 
 namespace InferenceEngine {
 
+IE_SUPPRESS_DEPRECATED_START
 class IExecutableNetworkInternal;
 class IVariableStateInternal;
 
@@ -368,4 +369,6 @@ private:
  */
 using SoIInferRequestInternal = ov::SoPtr<IInferRequestInternal>;
 
+IE_SUPPRESS_DEPRECATED_END
+
 }  // namespace InferenceEngine

src/inference/include/ie/cpp/ie_cnn_network.h

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>
@@ -28,7 +38,7 @@ class IExtension;
 /**
  * @brief This class contains all the information about the Neural Network and the related binary information
  */
-class INFERENCE_ENGINE_API_CLASS(CNNNetwork) {
+class INFERENCE_ENGINE_1_0_DEPRECATED INFERENCE_ENGINE_API_CLASS(CNNNetwork) {
 public:
     /**
      * @brief A default constructor

src/inference/include/ie/details/ie_blob_iterator.hpp

@@ -10,17 +10,29 @@
 
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <utility>
 
+#include "ie_api.h"
 #include "ie_locked_memory.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 namespace details {
 /**
  * @brief This class provides range loops support for TBlob objects
  */
 template <class T>
-class BlobIterator {
+class INFERENCE_ENGINE_1_0_DEPRECATED BlobIterator {
     LockedMemory<T> _mem;
     size_t _offset;
 
@@ -85,3 +97,4 @@ public:
 };
 }  // namespace details
 }  // namespace InferenceEngine
+IE_SUPPRESS_DEPRECATED_END

src/inference/include/ie/details/ie_exception.hpp

@@ -4,4 +4,14 @@
 
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include "ie_common.h"

src/inference/include/ie/details/ie_pre_allocator.hpp

@@ -9,16 +9,27 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <memory>
 
 #include "ie_allocator.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 namespace details {
 /*
  * @brief This is a helper class to wrap external memory
  */
-class PreAllocator final : public IAllocator {
+class INFERENCE_ENGINE_1_0_DEPRECATED PreAllocator final : public IAllocator {
     void* _actualData;
     size_t _sizeInBytes;
 
@@ -67,9 +78,10 @@ public:
  * @return A new allocator
  */
 template <class T>
-std::shared_ptr<IAllocator> make_pre_allocator(T* ptr, size_t size) {
+std::shared_ptr<IAllocator> INFERENCE_ENGINE_1_0_DEPRECATED make_pre_allocator(T* ptr, size_t size) {
     return std::make_shared<PreAllocator>(ptr, size * sizeof(T));
 }
 
 }  // namespace details
 }  // namespace InferenceEngine
+IE_SUPPRESS_DEPRECATED_END

src/inference/include/ie/details/ie_so_loader.h

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <memory>
 
 #include "ie_api.h"
@@ -20,8 +30,7 @@ namespace details {
  * @deprecated This is internal stuff. Use Inference Engine Plugin API
  * @brief This class provides an OS shared module abstraction
  */
-class INFERENCE_ENGINE_DEPRECATED("This is internal stuff. Use Inference Engine Plugin API")
-    INFERENCE_ENGINE_API_CLASS(SharedObjectLoader) {
+class INFERENCE_ENGINE_1_0_DEPRECATED INFERENCE_ENGINE_API_CLASS(SharedObjectLoader) {
     std::shared_ptr<void> _so;
 
 public:

src/inference/include/ie/details/ie_so_pointer.hpp

@@ -8,6 +8,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <cassert>
 #include <functional>
 #include <memory>
@@ -24,7 +34,7 @@ namespace details {
  * parameter
  */
 template <class T>
-class SOCreatorTrait {};
+class INFERENCE_ENGINE_1_0_DEPRECATED SOCreatorTrait {};
 
 /**
  * @brief Enables only `char` or `wchar_t` template specializations
@@ -40,7 +50,7 @@ using enableIfSupportedChar =
  * @tparam T An type of object SOPointer can hold
  */
 template <class T>
-class INFERENCE_ENGINE_DEPRECATED("This is internal stuff. Use Inference Engine Plugin API") SOPointer {
+class INFERENCE_ENGINE_1_0_DEPRECATED SOPointer {
     template <class U>
     friend class SOPointer;
 

src/inference/include/ie/gpu/gpu_context_api_ocl.hpp

@@ -10,6 +10,12 @@
  */
 #pragma once
 
+// TODO: Remove after migration to new API in the benchmark app
+#ifndef IN_OV_COMPONENT
+#    define IN_OV_COMPONENT
+#    define WAS_OV_LIBRARY_DEFINED
+#endif
+
 #include <ie_remote_context.hpp>
 #include <memory>
 #include <string>
@@ -362,3 +368,8 @@ static inline Blob::Ptr make_shared_blob(const TensorDesc& desc, RemoteContext::
 }  // namespace gpu
 
 }  // namespace InferenceEngine
+
+#ifdef WAS_OV_LIBRARY_DEFINED
+#    undef IN_OV_COMPONENT
+#    undef WAS_OV_LIBRARY_DEFINED
+#endif

src/inference/include/ie/ie_allocator.hpp

@@ -9,16 +9,27 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <memory>
 
 #include "ie_api.h"
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 
 /**
  * @brief Allocator handle mapping type
  */
-enum LockOp {
+enum INFERENCE_ENGINE_1_0_DEPRECATED LockOp {
     LOCK_FOR_READ = 0,  //!< A flag to lock data for read
     LOCK_FOR_WRITE      //!< A flag to lock data for write
 };
@@ -27,7 +38,7 @@ enum LockOp {
  * @interface IAllocator
  * @brief Allocator concept to be used for memory management and is used as part of the Blob.
  */
-class IAllocator : public std::enable_shared_from_this<IAllocator> {
+class INFERENCE_ENGINE_1_0_DEPRECATED IAllocator : public std::enable_shared_from_this<IAllocator> {
 public:
     /**
      * @brief Maps handle to heap memory accessible by any memory manipulation routines.
@@ -69,6 +80,8 @@ protected:
  *
  * @return The Inference Engine IAllocator* instance
  */
-INFERENCE_ENGINE_API_CPP(std::shared_ptr<InferenceEngine::IAllocator>) CreateDefaultAllocator() noexcept;
+INFERENCE_ENGINE_API_CPP(std::shared_ptr<InferenceEngine::IAllocator>)
+INFERENCE_ENGINE_1_0_DEPRECATED CreateDefaultAllocator() noexcept;
 
 }  // namespace InferenceEngine
+IE_SUPPRESS_DEPRECATED_END

src/inference/include/ie/ie_blob.h

@@ -28,6 +28,7 @@
 #include "ie_precision.hpp"
 
 namespace InferenceEngine {
+IE_SUPPRESS_DEPRECATED_START
 
 /**
  * @brief This class represents a universal container in the Inference Engine
@@ -921,4 +922,5 @@ INFERENCE_ENGINE_API_CPP(Blob::Ptr) make_shared_blob(const Blob::Ptr& inputBlob,
 INFERENCE_ENGINE_API_CPP(Blob::Ptr)
 make_shared_blob(const Blob::Ptr& inputBlob, const std::vector<size_t>& begin, const std::vector<size_t>& end);
 
+IE_SUPPRESS_DEPRECATED_END
 }  // namespace InferenceEngine

src/inference/include/ie/ie_compound_blob.h

@@ -15,6 +15,7 @@
 
 #include "ie_blob.h"
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 /**
  * @brief This class represents a blob that contains other blobs
@@ -315,3 +316,4 @@ public:
     explicit BatchedBlob(std::vector<Blob::Ptr>&& blobs);
 };
 }  // namespace InferenceEngine
+IE_SUPPRESS_DEPRECATED_END

src/inference/include/ie/ie_core.hpp

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <istream>
 #include <map>
 #include <memory>
@@ -29,7 +39,7 @@ namespace InferenceEngine {
  *
  * It can throw exceptions safely for the application, where it is properly handled.
  */
-class INFERENCE_ENGINE_API_CLASS(Core) {
+class INFERENCE_ENGINE_1_0_DEPRECATED INFERENCE_ENGINE_API_CLASS(Core) {
     class Impl;
     std::shared_ptr<Impl> _impl;
 
@@ -365,5 +375,5 @@ public:
  * You might want to use this function if you are developing a dynamically-loaded library which should clean up all
  * resources after itself when the library is unloaded.
  */
-INFERENCE_ENGINE_API_CPP(void) shutdown();
+INFERENCE_ENGINE_API_CPP(void) INFERENCE_ENGINE_1_0_DEPRECATED shutdown();
 }  // namespace InferenceEngine

src/inference/include/ie/ie_data.h

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>

src/inference/include/ie/ie_extension.h

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>

src/inference/include/ie/ie_icnn_network.hpp

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>
@@ -21,22 +31,21 @@
 
 namespace InferenceEngine {
 
-_IE_SUPPRESS_DEPRECATED_START_GCC
+IE_SUPPRESS_DEPRECATED_START
 
 /**
  * @deprecated Use InferenceEngine::CNNNetwork wrapper instead
  * @interface ICNNNetwork
  * @brief This is the main interface to describe the NN topology
  */
-class INFERENCE_ENGINE_API_CLASS(ICNNNetwork) : public std::enable_shared_from_this<ICNNNetwork> {
+class INFERENCE_ENGINE_1_0_DEPRECATED INFERENCE_ENGINE_API_CLASS(ICNNNetwork)
+    : public std::enable_shared_from_this<ICNNNetwork> {
 public:
-    IE_SUPPRESS_DEPRECATED_START
     /**
      * @deprecated Use InferenceEngine::CNNNetwork wrapper instead
      * @brief A shared pointer to a ICNNNetwork interface
      */
     using Ptr = std::shared_ptr<ICNNNetwork>;
-    IE_SUPPRESS_DEPRECATED_END
 
     /**
      * @deprecated Use InferenceEngine::CNNNetwork wrapper instead
@@ -257,14 +266,12 @@ public:
     }
 
 protected:
-    IE_SUPPRESS_DEPRECATED_START
     /**
      * @brief Default destructor.
      */
     ~ICNNNetwork() = default;
-    IE_SUPPRESS_DEPRECATED_END
 };
 
-_IE_SUPPRESS_DEPRECATED_END_GCC
+IE_SUPPRESS_DEPRECATED_END
 
 }  // namespace InferenceEngine

src/inference/include/ie/ie_iextension.h

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>

src/inference/include/ie/ie_input_info.hpp

@@ -9,6 +9,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <map>
 #include <memory>
 #include <string>
@@ -26,7 +36,7 @@ IE_SUPPRESS_DEPRECATED_START
 /**
  * @brief This class contains information about each input of the network
  */
-class InputInfo {
+class INFERENCE_ENGINE_1_0_DEPRECATED InputInfo {
 public:
     /** @brief A smart pointer to the InputInfo instance */
     using Ptr = std::shared_ptr<InputInfo>;
@@ -130,11 +140,12 @@ public:
     }
 
     /**
-     * @brief Initializes the pointer to the input data that stores the main input parameters like dims, etc
+     * @brief Initializes the pointer to the input data that stores the main input parameters like dims,
+     * etc
      *
      * This method initializes the precision with the information from the inputPtr if it was not set
-     * explicitly through InputInfo::setPrecision. If InputInfo::setPrecision is called, this method does not overwrite
-     * the precision.
+     * explicitly through InputInfo::setPrecision. If InputInfo::setPrecision is called, this method does
+     * not overwrite the precision.
      * @param inputPtr Pointer to the input data to set
      */
     void setInputData(DataPtr inputPtr) {

src/inference/include/ie/ie_locked_memory.hpp

@@ -9,17 +9,28 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <utility>
 
 #include "ie_allocator.hpp"
 
 namespace InferenceEngine {
+IE_SUPPRESS_DEPRECATED_START
 namespace details {
 /**
  * @brief This class is a LockedMemory concept for hardware memory
  */
 template <class T>
-class LockedMemoryBase {
+class INFERENCE_ENGINE_1_0_DEPRECATED LockedMemoryBase {
     IAllocator* _allocator = nullptr;
     void* _handle = nullptr;
     mutable T* _locked = nullptr;
@@ -114,7 +125,7 @@ protected:
  * @brief This class represents locked memory for read/write memory
  */
 template <class T>
-class LockedMemory : public details::LockedMemoryBase<T> {
+class INFERENCE_ENGINE_1_0_DEPRECATED LockedMemory : public details::LockedMemoryBase<T> {
     using base = details::LockedMemoryBase<T>;
 
 public:
@@ -222,7 +233,7 @@ public:
  * @brief This class is for <void*> data and allows casting to any pointers
  */
 template <>
-class LockedMemory<void> : public details::LockedMemoryBase<void> {
+class INFERENCE_ENGINE_1_0_DEPRECATED LockedMemory<void> : public details::LockedMemoryBase<void> {
     using base = details::LockedMemoryBase<void>;
 
 public:
@@ -291,6 +302,7 @@ public:
         return base::isEqualTo(lm.as<void*>());
     }
 
+    IE_SUPPRESS_DEPRECATED_START
     /**
      * @brief Compares the object with the one stored in the memory
      * @param pointer A pointer to compare with
@@ -300,6 +312,7 @@ public:
     friend bool operator==(const void* pointer, const LockedMemory<void>& lm) {
         return lm.operator==(pointer);
     }
+    IE_SUPPRESS_DEPRECATED_END
 
     /**
      * @brief Casts stored object to any given type
@@ -332,7 +345,7 @@ public:
  * @brief This class is for read-only segments
  */
 template <class T>
-class LockedMemory<const T> : public details::LockedMemoryBase<T> {
+class INFERENCE_ENGINE_1_0_DEPRECATED LockedMemory<const T> : public details::LockedMemoryBase<T> {
     using base = details::LockedMemoryBase<T>;
 
 public:
@@ -411,4 +424,5 @@ public:
         return reinterpret_cast<S>(base::dereference());
     }
 };
+IE_SUPPRESS_DEPRECATED_END
 }  // namespace InferenceEngine

src/inference/include/ie/ie_parameter.hpp

@@ -8,6 +8,16 @@
  */
 #pragma once
 
+#if !defined(IN_OV_COMPONENT) && !defined(IE_LEGACY_HEADER_INCLUDED)
+#    define IE_LEGACY_HEADER_INCLUDED
+#    ifdef _MSC_VER
+#        pragma message( \
+            "The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    else
+#        warning("The Inference Engine API is deprecated and will be removed in the 2024.0 release. For instructions on transitioning to the new API, please refer to https://docs.openvino.ai/latest/openvino_2_0_transition_guide.html")
+#    endif
+#endif
+
 #include <algorithm>
 #include <cctype>
 #include <iterator>

src/inference/src/blob_factory.cpp

@@ -6,6 +6,8 @@
 
 #include <memory>
 
+IE_SUPPRESS_DEPRECATED_START
+
 InferenceEngine::Blob::Ptr make_blob_with_precision(const InferenceEngine::TensorDesc& desc) {
     return make_blob_with_precision(desc.getPrecision(), desc);
 }

src/inference/src/blob_transform.cpp

@@ -14,6 +14,8 @@
 
 //----------------------------------------------------------------------
 
+IE_SUPPRESS_DEPRECATED_START
+
 namespace InferenceEngine {
 
 template <InferenceEngine::Precision::ePrecision PRC>

src/inference/src/ie_blob_common.cpp

@@ -10,6 +10,7 @@
 #include "system_allocator.hpp"
 
 namespace InferenceEngine {
+IE_SUPPRESS_DEPRECATED_START
 
 void Blob::setShape(const SizeVector& dims) {
     // we don't want to allow setShape for:

src/inference/src/system_allocator.cpp

@@ -5,6 +5,7 @@
 #include "system_allocator.hpp"
 
 namespace InferenceEngine {
+IE_SUPPRESS_DEPRECATED_START
 
 INFERENCE_ENGINE_API_CPP(std::shared_ptr<IAllocator>) CreateDefaultAllocator() noexcept {
     try {

src/inference/src/system_allocator.hpp

@@ -6,6 +6,7 @@
 
 #include "ie_allocator.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
 namespace InferenceEngine {
 class SystemMemoryAllocator : public InferenceEngine::IAllocator {
 public:
@@ -32,5 +33,6 @@ public:
         return true;
     }
 };
+IE_SUPPRESS_DEPRECATED_END
 
 }  // namespace InferenceEngine

src/inference/tests/functional/blob_copy_test.cpp

@@ -12,6 +12,8 @@
 using namespace ::testing;
 using namespace InferenceEngine;
 
+IE_SUPPRESS_DEPRECATED_START
+
 using ChannelNum = size_t;
 using BatchNum = size_t;
 using PrecisionType = InferenceEngine::Precision::ePrecision;

src/inference/tests/functional/pre_allocator_test.cpp

@@ -13,6 +13,8 @@ using namespace ::testing;
 using namespace std;
 using namespace InferenceEngine;
 
+IE_SUPPRESS_DEPRECATED_START
+
 class PreallocatorTests : public ::testing::Test {
 protected:
     std::vector<float> mybuf;

src/inference/tests/unit/ie_blob_test.cpp

@@ -8,6 +8,8 @@
 
 #include "unit_test_utils/mocks/mock_allocator.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
+
 class BlobTests : public ::testing::Test {
 protected:
     std::shared_ptr<MockAllocator> createMockAllocator() {

src/inference/tests/unit/ie_compound_blob_test.cpp

@@ -12,6 +12,8 @@ using namespace ::testing;
 using namespace std;
 using namespace InferenceEngine;
 
+IE_SUPPRESS_DEPRECATED_START
+
 class CompoundBlobTests : public ::testing::Test {
 protected:
     Blob::Ptr _test_blob;

src/inference/tests/unit/ie_locked_memory_test.cpp

@@ -9,6 +9,8 @@
 using namespace InferenceEngine;
 using namespace ::testing;
 
+IE_SUPPRESS_DEPRECATED_START
+
 TEST(LockedMemoryTest, canUnlockMemoryAfterUsage) {
     std::unique_ptr<MockAllocator> allocator(new MockAllocator());
     char array[] = {1, 2, 3};

src/plugins/template/src/compiled_model.cpp

@@ -7,7 +7,6 @@
 #include <memory>
 
 #include "async_infer_request.hpp"
-#include "ie_ngraph_utils.hpp"
 #include "ie_plugin_config.hpp"
 #include "itt.hpp"
 #include "openvino/op/util/op_types.hpp"

src/plugins/template/src/plugin.cpp

@@ -6,7 +6,6 @@
 
 #include <memory>
 
-#include "cpp_interfaces/interface/ie_iplugin_internal.hpp"
 #include "ie_plugin_config.hpp"
 #include "itt.hpp"
 #include "openvino/pass/manager.hpp"

src/tests/ie_test_utils/unit_test_utils/mocks/mock_allocator.hpp

@@ -12,10 +12,12 @@
 
 #include "ie_allocator.hpp"
 
+IE_SUPPRESS_DEPRECATED_START
 class MockAllocator : public InferenceEngine::IAllocator {
 public:
     MOCK_METHOD(void*, lock, (void*, InferenceEngine::LockOp), (noexcept));
-    MOCK_METHOD(void, unlock, (void *), (noexcept));
+    MOCK_METHOD(void, unlock, (void*), (noexcept));
     MOCK_METHOD(void*, alloc, (size_t), (noexcept));
     MOCK_METHOD(bool, free, (void*), (noexcept));  // NOLINT(readability/casting)
 };
+IE_SUPPRESS_DEPRECATED_END

tools/compile_tool/CMakeLists.txt

@@ -3,6 +3,7 @@
 #
 
 set(TARGET_NAME compile_tool)
+add_definitions(-DIN_OV_COMPONENT)
 
 file(GLOB SRCS
     ${CMAKE_CURRENT_SOURCE_DIR}/*.cpp

tools/legacy/benchmark_app/CMakeLists.txt

@@ -3,6 +3,7 @@
 #
 
 set(TARGET_NAME benchmark_app_legacy)
+add_definitions(-DIN_OV_COMPONENT)
 
 file (GLOB SRC ${CMAKE_CURRENT_SOURCE_DIR}/*.cpp)
 file (GLOB HDR ${CMAKE_CURRENT_SOURCE_DIR}/*.hpp)