[GNA] Fix exception handling on wait and infer (#14578)

* [GNA] Move definition of GNAInferRequest class to source file

* [GNA] Fix handling exception for infer() and wait() gna_infer_request

* fixed handling of exceptions for wait and infer gna_infer_request
* fixed closing ongoing subrequest of divided model in case of exception on
    on enqueueing request or waiting for end of request.

* [GNA] Apply review comments, Removed exceptions from enqueue and wait for Worker

* changed API of request worker to return:
    * erorr in case wait failed instead of
        throw,
    * return true/false for enqueue instead of exception for failure case

* [GNA] Fix review commentd related to gna_infer_request and worker_impl

* [GNA] Add tests for GANInferRequest

* added tests for exception handling of Infer, Wait, StartAsync methods of
    GNAInferRequest class.

* [GNA] Added final fixes for review comments.

src/plugins/intel_gna/src/gna_device.cpp

@@ -475,13 +475,16 @@ GNAPluginNS::RequestStatus GNADeviceHelper::waitForRequest(uint32_t requestID, i
     if (status == Gna2StatusDriverQoSTimeoutExceeded) {
         return GNAPluginNS::RequestStatus::kAborted;
     }
-    checkGna2Status(status, "Gna2RequestWait");
 
     if (per_request_diagnostics) {
         dumpAllAllocations(debugLogIndexRequestWait, "AfterGna2RequestWait");
         debugLogIndexRequestWait++;
     }
     updateGnaPerfCounters();
+
+    // handle error case after updating statistics data.
+    checkGna2Status(status, "Gna2RequestWait");
+
     return GNAPluginNS::RequestStatus::kCompleted;
 }
 

src/plugins/intel_gna/src/gna_infer_request.cpp

@@ -0,0 +1,173 @@
+// Copyright (C) 2022 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "gna_infer_request.hpp"
+
+#include "gna_plugin.hpp"
+
+namespace GNAPluginNS {
+
+GNAInferRequest::GNAInferRequest(const std::shared_ptr<GNAPlugin>& plg,
+                                 const std::vector<std::shared_ptr<const ov::Node>>& inputs,
+                                 const std::vector<std::shared_ptr<const ov::Node>>& outputs)
+    : InferenceEngine::IInferRequestInternal(inputs, outputs),
+      plg(plg) {
+    CreateInferRequest();
+}
+
+GNAInferRequest::GNAInferRequest(const std::shared_ptr<GNAPlugin>& plg,
+                                 InferenceEngine::InputsDataMap networkInputs,
+                                 InferenceEngine::OutputsDataMap networkOutputs)
+    : InferenceEngine::IInferRequestInternal(networkInputs, networkOutputs),
+      plg(plg) {
+    CreateInferRequest();
+}
+
+void GNAInferRequest::InferImpl() {
+    // execute input pre-processing.
+    execDataPreprocessing(_inputs);
+    // result returned from sync infer wait method
+
+    auto infer_call = [&]() {
+        auto result = plg->Infer(_inputs, _outputs);
+        // if result is false we are dealing with QoS feature and set kRequestIndexInvalid
+        // if result is ok we set kRequestIndexCompleted to not execute request if it is not
+        // in the queue.
+        auto result_request_index = result ? kRequestIndexCompleted : kRequestIndexInvalid;
+        SetRequestIndex(result_request_index);
+    };
+
+    CallCleanupAndRethrowOnException(std::move(infer_call));
+}
+
+std::map<std::string, InferenceEngine::InferenceEngineProfileInfo> GNAInferRequest::GetPerformanceCounts() const {
+    return plg->GetPerformanceCounts();
+}
+
+void GNAInferRequest::StartAsyncImpl() {
+    // execute input pre-processing.
+    execDataPreprocessing(_inputs);
+
+    auto queue_call = [&]() {
+        SetRequestIndex(plg->QueueInference(_inputs, _outputs));
+    };
+
+    CallCleanupAndRethrowOnException(std::move(queue_call));
+
+    // workaround to unblock callback-based flows
+    if (_callback) {
+        auto res = Wait(InferenceEngine::InferRequest::WaitMode::RESULT_READY);
+        std::exception_ptr exceptionPtr;
+        if (res != InferenceEngine::StatusCode::OK) {
+            try {
+                IE_EXCEPTION_SWITCH(res,
+                                    ExceptionType,
+                                    InferenceEngine::details::ThrowNow<ExceptionType>{} <<=
+                                    std::stringstream{}
+                                    << IE_LOCATION
+                                    << InferenceEngine::details::ExceptionTraits<ExceptionType>::string());
+            } catch (...) {
+                exceptionPtr = std::current_exception();
+            }
+        }
+        _callback(exceptionPtr);
+    }
+}
+
+InferenceEngine::StatusCode GNAInferRequest::Wait(int64_t millis_timeout) {
+    if (!IsRequestIndexValid()) {
+        return InferenceEngine::INFER_NOT_STARTED;
+    }
+
+    ValidateAndConfigureTimeout(millis_timeout);
+
+    if (IsRequestCompleted()) {
+        return InferenceEngine::OK;
+    }
+
+    auto waitStatus = RequestStatus::kAborted;
+    auto wait_call = [&]() {
+        waitStatus = plg->WaitFor(_infer_request_idx, millis_timeout);
+    };
+    CallCleanupAndRethrowOnException(std::move(wait_call));
+
+    return HandleRequestWaitStatus(waitStatus);
+}
+
+std::vector<std::shared_ptr<InferenceEngine::IVariableStateInternal>> GNAInferRequest::QueryState() {
+    auto pluginStates = plg->QueryState();
+    std::vector<InferenceEngine::IVariableStateInternal::Ptr> state(pluginStates.begin(), pluginStates.end());
+    return plg->QueryState();
+}
+
+bool GNAInferRequest::IsRequestIndexValid() {
+    return _infer_request_idx != kRequestIndexInvalid;
+}
+
+bool GNAInferRequest::IsRequestCompleted() {
+    return _infer_request_idx == kRequestIndexCompleted;
+}
+
+bool GNAInferRequest::SetRequestIndex(uint32_t request_index) {
+    return _infer_request_idx = request_index;
+}
+
+void GNAInferRequest::ValidateAndConfigureTimeout(int64_t& millis_timeout) {
+    if (millis_timeout == InferenceEngine::InferRequest::WaitMode::RESULT_READY) {
+        millis_timeout = MAX_TIMEOUT;
+    }
+
+    if (millis_timeout < 0) {
+        IE_THROW(ParameterMismatch) << "Invalid timeout value in milliseconds: " << millis_timeout << "!";
+    }
+}
+
+InferenceEngine::StatusCode GNAInferRequest::HandleRequestWaitStatus(const RequestStatus& request_status) {
+    if (request_status == RequestStatus::kPending) {
+        // request is still pending so Wait() is needed once again
+        return InferenceEngine::RESULT_NOT_READY;
+    }
+
+    if (request_status == RequestStatus::kAborted) {
+        // need to preserve invalid state here to avoid next Wait() from clearing it
+        SetRequestIndex(kRequestIndexInvalid);
+        return InferenceEngine::INFER_NOT_STARTED;
+    }
+
+    if (request_status == RequestStatus::kCompletedWithError) {
+        SetRequestIndex(kRequestIndexInvalid);
+        THROW_GNA_EXCEPTION << "Error when waiting for inference results!";
+    }
+
+    return InferenceEngine::OK;
+}
+
+void GNAInferRequest::CallCleanupAndRethrowOnException(std::function<void()>&& function_to_invoke) {
+    try {
+        function_to_invoke();
+    } catch (...) {
+        // need to preserve invalid state here to avoid next Wait() from clearing it
+        // and next rethrow issue.
+        SetRequestIndex(kRequestIndexInvalid);
+        throw;
+    }
+}
+
+void GNAInferRequest::CreateInferRequest() {
+    // TODO: internal connection API - better to generalize
+    if (_networkOutputs.empty()) {
+        THROW_GNA_EXCEPTION << "GNAInferRequest :: network has zero outputs";
+    }
+
+    // copy inputs blobs since we need to have them in separate address space to allow simultaneous infer requests
+    for (auto output : _networkOutputs) {
+        _outputs[output.first] = plg->GetOutputBlob(output.first, output.second->getTensorDesc().getPrecision());
+    }
+
+    for (auto input : _networkInputs) {
+        _inputs[input.first] = plg->GetInputBlob(input.first, input.second->getTensorDesc().getPrecision());
+    }
+}
+
+}  // namespace GNAPluginNS

src/plugins/intel_gna/src/gna_infer_request.hpp

@@ -5,137 +5,59 @@
 #pragma once
 
 #include <memory>
-#include <string>
-#include <map>
 
 #include "cpp_interfaces/interface/ie_iinfer_request_internal.hpp"
-#include "cpp/ie_infer_request.hpp"
+#include "request_status.hpp"
-#include "gna_plugin.hpp"
 
 namespace GNAPluginNS {
+class GNAPlugin;
 
 class GNAInferRequest : public InferenceEngine::IInferRequestInternal {
- private:
+public:
-    void CreateInferRequest() {
-        // TODO: internal connection API - better to generalize
-        if (_networkOutputs.empty()) {
-            THROW_GNA_EXCEPTION << "GNAInferRequest :: network has zero outputs";
-        }
-
-        // copy inputs blobs since we need to have them in separate address space to allow simultaneous infer requests
-        for (auto output : _networkOutputs) {
-            _outputs[output.first] =
-                plg->GetOutputBlob(output.first, output.second->getTensorDesc().getPrecision());
-        }
-
-        for (auto input : _networkInputs) {
-            _inputs[input.first] =
-                plg->GetInputBlob(input.first, input.second->getTensorDesc().getPrecision());
-        }
-    }
-
- protected:
-    std::shared_ptr<GNAPlugin> plg;
-    uint32_t inferRequestIdx = -1;
-
- public:
     GNAInferRequest(const std::shared_ptr<GNAPlugin>& plg,
                     const std::vector<std::shared_ptr<const ov::Node>>& inputs,
-                    const std::vector<std::shared_ptr<const ov::Node>>& outputs)
+                    const std::vector<std::shared_ptr<const ov::Node>>& outputs);
-        : InferenceEngine::IInferRequestInternal(inputs, outputs), plg(plg) {
-        CreateInferRequest();
-    }
     GNAInferRequest(const std::shared_ptr<GNAPlugin>& plg,
-                    InferenceEngine::InputsDataMap networkInputs,
+                    InferenceEngine::InputsDataMap network_inputs,
-                    InferenceEngine::OutputsDataMap networkOutputs)
+                    InferenceEngine::OutputsDataMap network_outputs);
-        : InferenceEngine::IInferRequestInternal(networkInputs, networkOutputs), plg(plg) {
-        CreateInferRequest();
-    }
     /**
      * @brief Infers specified input(s) in synchronous mode
      * @note blocks all method of InferRequest while request is ongoing (running or waiting in queue)
      */
-    void InferImpl() override {
+    void InferImpl() override;
-        // execute input pre-processing.
-        execDataPreprocessing(_inputs);
-        // result returned from sync infer wait method
-        auto result = plg->Infer(_inputs, _outputs);
-
-        // if result is false we are dealing with QoS feature
-        // if result is ok, next call to wait() will return Ok, if request not in gna_queue
-        if (!result) {
-            inferRequestIdx = -1;
-        } else {
-            inferRequestIdx = -2;
-        }
-    }
 
     /**
      * @brief Queries performance measures per layer to get feedback of what is the most time consuming layer.
      *  Note: not all plugins may provide meaningful data
      *  @param perfMap - a map of layer names to profiling information for that layer.
      */
-    std::map<std::string, InferenceEngine::InferenceEngineProfileInfo> GetPerformanceCounts() const override {
+    std::map<std::string, InferenceEngine::InferenceEngineProfileInfo> GetPerformanceCounts() const override;
-        return plg->GetPerformanceCounts();
-    }
 
     /**
      * @brief methods with _ThreadUnsafe prefix are to implement in plugins
      * or in default wrapper (e.g. AsyncInferRequestThreadSafeDefault)
      */
-    void StartAsyncImpl() override {
+    void StartAsyncImpl() override;
-        // execute input pre-processing.
-        execDataPreprocessing(_inputs);
-        inferRequestIdx = plg->QueueInference(_inputs, _outputs);
-        // workaround to unblock callback-based flows
-        if (_callback) {
-            auto res = Wait(InferenceEngine::InferRequest::WaitMode::RESULT_READY);
-            std::exception_ptr exceptionPtr;
-            if (res != InferenceEngine::StatusCode::OK) {
-                try {
-                    IE_EXCEPTION_SWITCH(res, ExceptionType,
-                        InferenceEngine::details::ThrowNow<ExceptionType>{}
-                            <<= std::stringstream{} << IE_LOCATION
-                            <<  InferenceEngine::details::ExceptionTraits<ExceptionType>::string());
-                } catch (...) {
-                    exceptionPtr = std::current_exception();
-                }
-            }
-            _callback(exceptionPtr);
-        }
-    }
 
+    InferenceEngine::StatusCode Wait(int64_t millis_timeout) override;
 
-    InferenceEngine::StatusCode Wait(int64_t millis_timeout) override {
+    std::vector<std::shared_ptr<InferenceEngine::IVariableStateInternal>> QueryState() override;
-        if (inferRequestIdx == -1) {
-            return InferenceEngine::INFER_NOT_STARTED;
-        } else if (millis_timeout < -1) {
-            IE_THROW(ParameterMismatch);
-        }
 
-        if (millis_timeout == InferenceEngine::InferRequest::WaitMode::RESULT_READY) {
+protected:
-            millis_timeout = MAX_TIMEOUT;
+    bool SetRequestIndex(uint32_t request_index);
-        }
+    bool IsRequestIndexValid();
-        const auto waitStatus = plg->WaitFor(inferRequestIdx, millis_timeout);
+    bool IsRequestCompleted();
 
-        if (waitStatus == RequestStatus::kPending) {
+private:
-            // request is still pending so Wait() is needed once again
+    void CreateInferRequest();
-            return InferenceEngine::RESULT_NOT_READY;
+    InferenceEngine::StatusCode HandleRequestWaitStatus(const RequestStatus& request_status);
-        }
+    void ValidateAndConfigureTimeout(int64_t& millis_timeout);
-        if (waitStatus == RequestStatus::kAborted) {
+    void CallCleanupAndRethrowOnException(std::function<void()>&& function_to_invoke);
-            // need to preserve invalid state here to avoid next Wait() from clearing it
-            inferRequestIdx = -1;
-            return InferenceEngine::INFER_NOT_STARTED;
-        }
-        return InferenceEngine::OK;
-    }
 
-    IE_SUPPRESS_DEPRECATED_START
+    static constexpr const uint32_t kRequestIndexInvalid = std::numeric_limits<uint32_t>::max();
-    std::vector<InferenceEngine::IVariableStateInternal::Ptr>  QueryState() override {
+    static constexpr const uint32_t kRequestIndexCompleted = std::numeric_limits<uint32_t>::max() - 1;
-        auto pluginStates = plg->QueryState();
+
-        std::vector<InferenceEngine::IVariableStateInternal::Ptr> state(pluginStates.begin(), pluginStates.end());
+    uint32_t _infer_request_idx = kRequestIndexInvalid;
-        return plg->QueryState();
+    std::shared_ptr<GNAPlugin> plg;
-    }
-    IE_SUPPRESS_DEPRECATED_END
 };
 }  // namespace GNAPluginNS

src/plugins/intel_gna/src/gna_plugin.cpp

@@ -1335,7 +1335,9 @@ uint32_t GNAPlugin::QueueInference(const InferenceEngine::BlobMap& inputs, Infer
         ++inputNum;
     }
 
-    freeWorker->enqueueRequest();
+    if (!freeWorker->enqueueRequest()) {
+        THROW_GNA_EXCEPTION << "Error with enqueueing inference request";
+    }
 
     freeWorker->setResult(result);
 
@@ -1351,7 +1353,13 @@ uint32_t GNAPlugin::QueueInference(const InferenceEngine::BlobMap& inputs, Infer
 }
 
 bool GNAPlugin::Wait(uint32_t request_idx) {
-    return RequestStatus::kCompleted == WaitFor(request_idx, MAX_TIMEOUT);
+    auto result = WaitFor(request_idx, MAX_TIMEOUT);
+
+    if (result == RequestStatus::kCompletedWithError) {
+        THROW_GNA_EXCEPTION << "Error when waiting for inference results!";
+    }
+
+    return result == RequestStatus::kCompleted;
 }
 
 RequestStatus GNAPlugin::WaitFor(uint32_t request_idx, int64_t millisTimeout) {
@@ -1368,6 +1376,10 @@ RequestStatus GNAPlugin::WaitFor(uint32_t request_idx, int64_t millisTimeout) {
 
     const auto waitStatus = worker.wait(millisTimeout);
 
+    if (waitStatus == RequestStatus::kCompletedWithError) {
+        return waitStatus;
+    }
+
     if (waitStatus == RequestStatus::kAborted) {
         return waitStatus;
     }
@@ -1528,7 +1540,7 @@ bool GNAPlugin::Infer(const InferenceEngine::Blob &input, InferenceEngine::Blob
 }
 
 bool GNAPlugin::Infer(const InferenceEngine::BlobMap &input, InferenceEngine::BlobMap &result) {
-    return  Wait(QueueInference(input, result));
+    return Wait(QueueInference(input, result));
 }
 
 static InferenceEngine::Layout GetLayoutForDims(const InferenceEngine::SizeVector &dims) {

src/plugins/intel_gna/src/request/subrequest.hpp

@@ -28,6 +28,7 @@ public:
      * @param requestID id of request to be used for wait
      * @param timeoutMilliseconds timeout of wait in milliseconds
      * @return Status of subrequest @see GNAPluginNS::RequestStatus
+     *
      */
     using WaitHandler = std::function<RequestStatus(uint32_t requestID, int64_t timeoutMilliseconds)>;
 
@@ -42,8 +43,14 @@ public:
 
     /**
      * @brief Add subrequest to execution queue.
+     * @return true in case subrequest was properly enqueued, otherwise return false
      */
-    virtual void enqueue() = 0;
+    virtual bool enqueue() = 0;
+
+    /**
+     * @brief Finalize subrequest and set it status to RequestStatus::kNone
+     */
+    virtual void cleanup() = 0;
 
     /**
      * @brief Return true if subrequest is pending, otherwise return false

src/plugins/intel_gna/src/request/subrequest_impl.cpp

@@ -7,6 +7,7 @@
 #include <gna2-inference-api.h>
 
 #include "log/debug.hpp"
+#include "log/log.hpp"
 
 namespace GNAPluginNS {
 namespace request {
@@ -24,14 +25,30 @@ RequestStatus SubrequestImpl::wait(int64_t timeoutMilliseconds) {
         return status_;
     }
 
-    status_ = waitHandler_(requestID_, timeoutMilliseconds);
+    try {
+        status_ = waitHandler_(requestID_, timeoutMilliseconds);
+    } catch (const std::exception& e) {
+        ov::intel_gna::log::error() << "Exception when executiong wait: " << e.what() << std::endl;
+        status_ = RequestStatus::kCompletedWithError;
+    }
 
     return status_;
 }
 
-void SubrequestImpl::enqueue() {
+bool SubrequestImpl::enqueue() {
-    requestID_ = enqueueHandler_();
+    try {
-    status_ = RequestStatus::kPending;
+        requestID_ = enqueueHandler_();
+        status_ = RequestStatus::kPending;
+    } catch (const std::exception& e) {
+        ov::intel_gna::log::error() << "Exception when executiong enqueue: " << e.what() << std::endl;
+        status_ = RequestStatus::kCompletedWithError;
+    }
+    return status_ != RequestStatus::kCompletedWithError;
+}
+
+void SubrequestImpl::cleanup() {
+    static_cast<void>(wait(0));
+    status_ = RequestStatus::kNone;
 }
 
 bool SubrequestImpl::isPending() const {

src/plugins/intel_gna/src/request/subrequest_impl.hpp

@@ -40,8 +40,14 @@ public:
 
     /**
      * @brief Add subrequest to execution queue.
+     * @return true in case subrequest was properly enqueued, otherwise return false
      */
-    void enqueue() override;
+    bool enqueue() override;
+
+    /**
+     * @brief Finalize subrequest and set it status to RequestStatus::kNone
+     */
+    void cleanup() override;
 
     /**
      * @brief Return true if subrequest is pending, otherwise return false

src/plugins/intel_gna/src/request/worker.hpp

@@ -39,15 +39,14 @@ public:
 
     /**
      * @brief Enqueue request to requests queue for contained model.
-     * @throw Exception in case worker is busy or if there was an issue with enqueue.
+     * @return true in case subrequest was properly enqueued, otherwise return false
      */
-    virtual void enqueueRequest() = 0;
+    virtual bool enqueueRequest() = 0;
 
     /**
      * @brief Wait untril request will be not finished for give timeout.
      * @param timeoutMilliseconds timeout in milliseconds
      * @return status of execution of ongoing request. @see GNAPluginNS::RequestStatus
-     * @throw Exception in case worker is busy or if there was an issue with enqueue.
      */
     virtual RequestStatus wait(int64_t timeoutMilliseconds) = 0;
 

src/plugins/intel_gna/src/request/worker_impl.cpp

@@ -7,6 +7,7 @@
 #include <gna2-inference-api.h>
 
 #include "log/debug.hpp"
+#include "log/log.hpp"
 #include "model_wrapper.hpp"
 #include "subrequest.hpp"
 
@@ -39,12 +40,19 @@ Gna2Model* WorkerImpl::model() {
     return &fullModel_->object();
 }
 
-void WorkerImpl::enqueueRequest() {
+bool WorkerImpl::enqueueRequest() {
-    check_if_free();
+    if (!isFree()) {
+        ov::intel_gna::log::warning() << "Trying to propagate on busy request with id: " << representingIndex_;
+        return false;
+    }
 
     for (auto& subrequest : modelSubrequests_) {
-        subrequest->enqueue();
+        if (!subrequest->enqueue()) {
+            cleanup_subrequests();
+            return false;
+        }
     }
+    return true;
 }
 
 RequestStatus WorkerImpl::wait(int64_t timeoutMilliseconds) {
@@ -56,8 +64,13 @@ RequestStatus WorkerImpl::wait(int64_t timeoutMilliseconds) {
             continue;
         }
 
-        if (subrequest->wait(timeoutMilliseconds) == RequestStatus::kPending) {
+        auto result = subrequest->wait(timeoutMilliseconds);
+
+        if (result == RequestStatus::kPending) {
             pending = true;
+        } else if (result == RequestStatus::kCompletedWithError) {
+            cleanup_subrequests();
+            return result;
         }
     }
 
@@ -107,9 +120,11 @@ InferenceEngine::BlobMap& WorkerImpl::result() {
     return requestResult_;
 }
 
-void WorkerImpl::check_if_free() {
+void WorkerImpl::cleanup_subrequests() {
-    if (!isFree()) {
+    for (auto& subrequest : modelSubrequests_) {
-        THROW_GNA_EXCEPTION << "Trying to propagte on busy request with id: " << representingIndex_;
+        if (subrequest->isPending()) {
+            subrequest->cleanup();
+        }
     }
 }
 

src/plugins/intel_gna/src/request/worker_impl.hpp

@@ -55,7 +55,7 @@ public:
     /**
      * @see Worker::enqueueRequest()
      */
-    void enqueueRequest() override;
+    bool enqueueRequest() override;
 
     /**
      * @see Worker::wait()
@@ -93,7 +93,7 @@ public:
     void setResult(InferenceEngine::BlobMap&& result) override;
 
 private:
-    void check_if_free();
+    void cleanup_subrequests();
 
     uint32_t representingIndex_{0};
     std::shared_ptr<ModelWrapper> fullModel_;

src/plugins/intel_gna/src/request_status.hpp

@@ -10,10 +10,11 @@ namespace GNAPluginNS {
  * @brief Enum representing status of request
  */
 enum class RequestStatus {
-    kNone = 0,       /// request was not initialized
+    kNone = 0,               /// request was not initialized
-    kAborted = 1,    /// request was aborted
+    kAborted = 1,            /// request was aborted
-    kPending = 2,    /// request was started and is onging
+    kPending = 2,            /// request was started and is onging
-    kCompleted = 3   /// request was completed with success
+    kCompleted = 3,          /// request was completed with success
+    kCompletedWithError = 4  /// request was completed with error
 };
 
 }  // namespace GNAPluginNS

src/plugins/intel_gna/tests/unit/CMakeLists.txt

@@ -14,7 +14,7 @@ endif()
 
 # TODO: fix CVS-71010 and remove BUILD_SHARED_LIBS
 if(NOT BUILD_SHARED_LIBS)
-    set(exclude_path EXCLUDED_SOURCE_PATHS "${CMAKE_CURRENT_SOURCE_DIR}/(gna_api_stub|gna_wait_test|gna_export_import_test).cpp")
+    set(exclude_path EXCLUDED_SOURCE_PATHS "${CMAKE_CURRENT_SOURCE_DIR}/(gna_api_stub|gna_wait_test|gna_export_import_test|gna_infer_request_test).cpp")
 endif()
 
 addIeTargetTest(

src/plugins/intel_gna/tests/unit/gna_api_stub.cpp

@@ -138,6 +138,9 @@ GNA2_API enum Gna2Status Gna2RequestConfigSetAccelerationMode(
 GNA2_API enum Gna2Status Gna2RequestEnqueue(
     uint32_t requestConfigId,
     uint32_t * requestId) {
+    if (current != nullptr) {
+        return current->Gna2RequestEnqueue(requestConfigId, requestId);
+    }
     return Gna2StatusSuccess;
 }
 

src/plugins/intel_gna/tests/unit/gna_infer_request_test.cpp

@@ -0,0 +1,204 @@
+// Copyright (C) 2022 Intel Corporation
+// SPDX-License-Identifier: Apache-2.0
+//
+
+#include "gna_infer_request.hpp"
+
+#include <gmock/gmock.h>
+#include <gtest/gtest.h>
+
+#include <vector>
+
+#include "any_copy.hpp"
+#include "common_test_utils/data_utils.hpp"
+#include "common_test_utils/ngraph_test_utils.hpp"
+#include "gna_mock_api.hpp"
+#include "gna_plugin.hpp"
+#include "ngraph_functions/builders.hpp"
+
+using namespace ::testing;
+using namespace InferenceEngine;
+
+using GNAPluginNS::GNAInferRequest;
+using GNAPluginNS::GNAPlugin;
+using ::testing::InSequence;
+
+class GNAInferRequestTest : public ::testing::Test {
+public:
+    IInferRequestInternal::Ptr CreateRequest() {
+        auto function = GetFunction();
+        CNNNetwork cnn_network = CNNNetwork{function};
+
+        SetExpectsForLoadNetworkAndShutDown(_data);
+        const ov::AnyMap gna_config = {ov::intel_gna::execution_mode(ov::intel_gna::ExecutionMode::SW_EXACT)};
+        auto plugin = std::make_shared<GNAPlugin>(any_copy(gna_config));
+        plugin->LoadNetwork(cnn_network);
+
+        return std::make_shared<GNAInferRequest>(plugin, cnn_network.getInputsInfo(), cnn_network.getOutputsInfo());
+    }
+
+protected:
+    std::shared_ptr<ngraph::Function> GetFunction() {
+        auto ngPrc = ngraph::element::f32;
+        std::vector<size_t> shape = {1, 10};
+        auto params = ngraph::builder::makeParams(ngPrc, {shape});
+        auto shape_size = ov::shape_size(shape);
+        auto add_const =
+            ngraph::builder::makeConstant<float>(ngPrc,
+                                                 shape,
+                                                 CommonTestUtils::generate_float_numbers(shape_size, -0.5f, 0.5f),
+                                                 false);
+
+        auto add = std::make_shared<ngraph::opset9::Add>(params[0], add_const);
+        auto res = std::make_shared<ngraph::op::Result>(add);
+        auto function = std::make_shared<ngraph::Function>(res, params, "Add");
+        return function;
+    }
+
+    void SetExpectsForLoadNetworkAndShutDown(std::vector<std::vector<uint8_t>>& data) {
+        EXPECT_CALL(*_mock_api, Gna2MemoryAlloc(_, _, _))
+            .Times(AtLeast(1))
+            .WillRepeatedly(Invoke([&data](uint32_t size_requested, uint32_t* size_granted, void** memory_address) {
+                data.push_back(std::vector<uint8_t>(size_requested));
+                *size_granted = size_requested;
+                *memory_address = data.back().data();
+                return Gna2StatusSuccess;
+            }));
+
+        EXPECT_CALL(*_mock_api, Gna2DeviceGetVersion(_, _))
+            .WillOnce(Invoke([](uint32_t deviceIndex, enum Gna2DeviceVersion* deviceVersion) {
+                *deviceVersion = Gna2DeviceVersionSoftwareEmulation;
+                return Gna2StatusSuccess;
+            }));
+
+        EXPECT_CALL(*_mock_api, Gna2DeviceOpen(_)).WillOnce(Return(Gna2StatusSuccess));
+
+        EXPECT_CALL(*_mock_api, Gna2GetLibraryVersion(_, _))
+            .Times(AtLeast(0))
+            .WillRepeatedly(Return(Gna2StatusSuccess));
+
+        EXPECT_CALL(*_mock_api, Gna2InstrumentationConfigCreate(_, _, _, _)).WillOnce(Return(Gna2StatusSuccess));
+
+        EXPECT_CALL(*_mock_api, Gna2ModelCreate(_, _, _))
+            .WillOnce(Invoke([](uint32_t deviceIndex, struct Gna2Model const* model, uint32_t* model_id) {
+                *model_id = 0;
+                return Gna2StatusSuccess;
+            }));
+
+        EXPECT_CALL(*_mock_api, Gna2RequestConfigCreate(_, _))
+            .WillOnce(Invoke([](uint32_t model_Id, uint32_t* request_config_id) {
+                *request_config_id = 0;
+                return Gna2StatusSuccess;
+            }));
+
+        EXPECT_CALL(*_mock_api, Gna2InstrumentationConfigAssignToRequestConfig(_, _))
+            .Times(AtLeast(1))
+            .WillRepeatedly(Return(Gna2StatusSuccess));
+
+        InSequence seq;
+        EXPECT_CALL(*_mock_api, Gna2DeviceClose(_)).WillOnce(Return(Gna2StatusSuccess));
+        EXPECT_CALL(*_mock_api, Gna2MemoryFree(_)).Times(AtLeast(1)).WillRepeatedly(Return(Gna2StatusSuccess));
+    }
+
+    void SetExpectOnEnqueue(const Gna2Status& return_status = Gna2StatusSuccess) {
+        EXPECT_CALL(*_mock_api, Gna2RequestEnqueue(_, _)).WillOnce(Return(return_status));
+    }
+
+    void SetExpectOnWait(const Gna2Status& return_status = Gna2StatusSuccess) {
+        EXPECT_CALL(*_mock_api, Gna2RequestWait(_, _)).WillOnce(Return(return_status));
+    }
+
+    void SetUp() override {
+        _mock_api = std::make_shared<StrictMock<GNACppApi>>();
+    }
+
+    void TearDown() override {
+        ASSERT_TRUE(Mock::VerifyAndClearExpectations(_mock_api.get()));
+    }
+
+    std::shared_ptr<StrictMock<GNACppApi>> _mock_api;
+    std::vector<std::vector<uint8_t>> _data;
+};
+
+TEST_F(GNAInferRequestTest, start_async) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    // wait on shutdown neede if request was enqueued by not waited
+    SetExpectOnWait();
+    EXPECT_NO_THROW(request->StartAsync());
+}
+
+TEST_F(GNAInferRequestTest, start_async_with_enqueue_error) {
+    auto request = CreateRequest();
+    // trigger Gna2RequestEnqueue to fail
+    SetExpectOnEnqueue(Gna2StatusUnknownError);
+    // no wait needed due the fact there are no enqueud requests
+    EXPECT_THROW(request->StartAsync(), std::exception);
+}
+
+TEST_F(GNAInferRequestTest, start_async_with_wait) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    // wait on shutdown needed if request was enqueued by not waited
+    SetExpectOnWait();
+    EXPECT_NO_THROW(request->StartAsync());
+    EXPECT_EQ(OK, request->Wait(0));
+}
+
+TEST_F(GNAInferRequestTest, start_async_error_with_wait) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue(Gna2StatusUnknownError);
+    // wait on shutdown needed if request was enqueued by not waited
+    // SetExpectOnWait();
+    EXPECT_THROW(request->StartAsync(), std::exception);
+    EXPECT_EQ(INFER_NOT_STARTED, request->Wait(0));
+}
+
+TEST_F(GNAInferRequestTest, start_async_with_wait_error) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    // wait on shutdown needed if request was enqueued by not waited
+    SetExpectOnWait(Gna2StatusUnknownError);
+    EXPECT_NO_THROW(request->StartAsync());
+    EXPECT_THROW(request->Wait(0), std::exception);
+}
+
+TEST_F(GNAInferRequestTest, start_async_wait_check_recovery_after_wait_error) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    SetExpectOnWait(Gna2StatusUnknownError);
+    EXPECT_NO_THROW(request->StartAsync());
+    EXPECT_THROW(request->Wait(0), std::exception);
+    // check that no there is exception on second wiat after first failing
+    EXPECT_EQ(INFER_NOT_STARTED, request->Wait(0));
+
+    // start new request
+    SetExpectOnEnqueue();
+    SetExpectOnWait();
+    EXPECT_NO_THROW(request->StartAsync());
+    EXPECT_EQ(OK, request->Wait(0));
+}
+
+TEST_F(GNAInferRequestTest, infer) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    SetExpectOnWait();
+    EXPECT_NO_THROW(request->Infer());
+}
+
+TEST_F(GNAInferRequestTest, infer_enque_error) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue(Gna2StatusUnknownError);
+    EXPECT_THROW(request->Infer(), std::exception);
+}
+
+TEST_F(GNAInferRequestTest, infer_wait_error_check_recovery) {
+    auto request = CreateRequest();
+    SetExpectOnEnqueue();
+    SetExpectOnWait(Gna2StatusUnknownError);
+    EXPECT_THROW(request->Infer(), std::exception);
+    // check if next infer will execute properly after wait throwing
+    SetExpectOnEnqueue();
+    SetExpectOnWait();
+    EXPECT_NO_THROW(request->Infer());
+}

src/plugins/intel_gna/tests/unit/gna_mock_api.hpp

@@ -47,6 +47,10 @@ public:
         uint32_t requestId,
         uint32_t timeoutMilliseconds));
 
+    MOCK_METHOD2(Gna2RequestEnqueue, Gna2Status(
+        uint32_t requestConfigId,
+        uint32_t* requestId));
+
     MOCK_METHOD2(Gna2DeviceGetVersion, Gna2Status(
         uint32_t deviceIndex,
         enum Gna2DeviceVersion * deviceVersion));

src/plugins/intel_gna/tests/unit/gna_wait_test.cpp

@@ -10,14 +10,15 @@
 #define IMPLEMENT_INFERENCE_ENGINE_PLUGIN
 #include "gna_infer_request.hpp"
 #include "gna_mock_api.hpp"
+#include "gna_plugin.hpp"
 #include "request/model_wrapper_factory.hpp"
 #include "request/subrequest_impl.hpp"
 #include "request/worker_factory.hpp"
 #include "request/worker_impl.hpp"
 #include "request/worker_pool.hpp"
 
-using GNAPluginNS::GNAInferRequest;
+using namespace GNAPluginNS;
-using GNAPluginNS::GNAPlugin;
+using namespace GNAPluginNS::request;
 using ::testing::_;
 using ::testing::Return;
 
@@ -27,9 +28,6 @@ class GNAPluginForGNAWaitTest : public GNAPlugin {
 public:
     // Prepare underlining object to enable GNAInferRequest::Wait() working
     GNAPluginForGNAWaitTest() {
-        using namespace GNAPluginNS;
-        using namespace request;
-
         InferenceEngine::TensorDesc td{InferenceEngine::Precision::FP32, {1, 1}, InferenceEngine::Layout::HW};
         auto fakeInfo = std::make_shared<InferenceEngine::InputInfo>();
         auto fakePtr = std::make_shared<InferenceEngine::Data>("fakeName", td);
@@ -55,20 +53,32 @@ public:
 
         auto model = ModelWrapperFactory::createWithNumberOfEmptyOperations(1);
         subrequests.push_back(std::make_shared<SubrequestImpl>(std::move(enqueue), std::move(wait)));
-        auto worker = std::make_shared<WorkerImpl>(model, std::move(subrequests));
+        _worker = std::make_shared<WorkerImpl>(model, std::move(subrequests));
 
-        requestWorkerPool_->addModelWorker(worker);
+        requestWorkerPool_->addModelWorker(_worker);
-        worker->enqueueRequest();
     }
+
+    void EnqueTestRequest() {
+        _worker->enqueueRequest();
+    }
+
+private:
+    std::shared_ptr<Worker> _worker;
 };
 
 class GNAInferRequestForGNAWaitTest : public GNAInferRequest {
 public:
     // Prepare underlining object to enable Wait() working
-    GNAInferRequestForGNAWaitTest(std::shared_ptr<GNAPlugin> plugin)
+    GNAInferRequestForGNAWaitTest(std::shared_ptr<GNAPluginForGNAWaitTest> plugin)
-        : GNAInferRequest{plugin, plugin->GetNetworkInputs(), plugin->GetNetworkOutputs()} {
+        : GNAInferRequest{plugin, plugin->GetNetworkInputs(), plugin->GetNetworkOutputs()},
-        inferRequestIdx = 0;
+          _plugin(plugin) {}
+
+    void EnqueTestRequest() {
+        _plugin->EnqueTestRequest();
+        SetRequestIndex(0);
     }
+
+    std::shared_ptr<GNAPluginForGNAWaitTest> _plugin;
 };
 
 TEST_F(GNAWaitTest, ReturnsGna2StatusDriverQoSTimeoutExceeded) {
@@ -76,6 +86,7 @@ TEST_F(GNAWaitTest, ReturnsGna2StatusDriverQoSTimeoutExceeded) {
     EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusDriverQoSTimeoutExceeded));
     auto plugin = std::make_shared<GNAPluginForGNAWaitTest>();
     GNAInferRequestForGNAWaitTest inferRequest{plugin};
+    inferRequest.EnqueTestRequest();
     ASSERT_EQ(InferenceEngine::INFER_NOT_STARTED, inferRequest.Wait(0));
 }
 
@@ -84,6 +95,38 @@ TEST_F(GNAWaitTest, ReturnsGna2StatusWarningDeviceBusy) {
     EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusWarningDeviceBusy));
     auto plugin = std::make_shared<GNAPluginForGNAWaitTest>();
     GNAInferRequestForGNAWaitTest inferRequest{plugin};
-
+    inferRequest.EnqueTestRequest();
     ASSERT_EQ(InferenceEngine::RESULT_NOT_READY, inferRequest.Wait(0));
 }
+
+TEST_F(GNAWaitTest, ReturnsGna2StatusDeviceParameterOutOfRange) {
+    GNACppApi enableMocks;
+    EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusDeviceParameterOutOfRange));
+    auto plugin = std::make_shared<GNAPluginForGNAWaitTest>();
+    GNAInferRequestForGNAWaitTest inferRequest{plugin};
+    inferRequest.EnqueTestRequest();
+    ASSERT_THROW(inferRequest.Wait(0), std::exception);
+}
+
+TEST_F(GNAWaitTest, ReturnsGna2StatusDeviceParameterOutOfRange_Extra_Sync) {
+    GNACppApi enableMocks;
+    EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusDeviceParameterOutOfRange));
+    auto plugin = std::make_shared<GNAPluginForGNAWaitTest>();
+    GNAInferRequestForGNAWaitTest inferRequest{plugin};
+    inferRequest.EnqueTestRequest();
+    ASSERT_THROW(inferRequest.Wait(0), std::exception);
+    EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(0);
+    ASSERT_EQ(InferenceEngine::INFER_NOT_STARTED, inferRequest.Wait(0));
+}
+
+TEST_F(GNAWaitTest, ReturnsGna2StatusDeviceParameterOutOfRange_Another_Use) {
+    GNACppApi enableMocks;
+    EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusDeviceParameterOutOfRange));
+    auto plugin = std::make_shared<GNAPluginForGNAWaitTest>();
+    GNAInferRequestForGNAWaitTest inferRequest{plugin};
+    inferRequest.EnqueTestRequest();
+    ASSERT_THROW(inferRequest.Wait(0), std::exception);
+    inferRequest.EnqueTestRequest();
+    EXPECT_CALL(enableMocks, Gna2RequestWait(_, _)).Times(1).WillOnce(Return(Gna2StatusSuccess));
+    ASSERT_EQ(InferenceEngine::OK, inferRequest.Wait(0));
+}

src/plugins/intel_gna/tests/unit/request/gna_request_worker_impl_test.cpp

@@ -60,16 +60,40 @@ TEST_F(GNA_Request_WorkerImplTest, enqueueRequest) {
     subrequests.push_back(subrequestMock2);
     WorkerImpl worker(wrapper, subrequests);
 
-    // check if exception will be thrown if worker will be busy - at least one subrequest is pending.
+    // check if false will be returned if worker will be busy - at least one subrequest is pending.
     EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(1).WillOnce(Return(false));
     EXPECT_CALL(*subrequestMock2.get(), isPending()).Times(1).WillOnce(Return(true));
-    EXPECT_THROW(worker.enqueueRequest(), std::exception);
+    EXPECT_FALSE(worker.enqueueRequest());
 
     EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(1).WillOnce(Return(false));
     EXPECT_CALL(*subrequestMock2.get(), isPending()).Times(1).WillOnce(Return(false));
-    EXPECT_CALL(*subrequestMock1.get(), enqueue()).Times(1);
+    EXPECT_CALL(*subrequestMock1.get(), enqueue()).Times(1).WillOnce(Return(true));
-    EXPECT_CALL(*subrequestMock2.get(), enqueue()).Times(1);
+    EXPECT_CALL(*subrequestMock2.get(), enqueue()).Times(1).WillOnce(Return(true));
-    EXPECT_NO_THROW(worker.enqueueRequest());
+    EXPECT_TRUE(worker.enqueueRequest());
+}
+
+TEST_F(GNA_Request_WorkerImplTest, enqueueRequest_second_enque_failed) {
+    auto wrapper = ModelWrapperFactory::createTrivial();
+    std::vector<std::shared_ptr<Subrequest>> subrequests;
+
+    auto subrequestMock1 = std::make_shared<MockSubrequest>();
+    subrequests.push_back(subrequestMock1);
+    auto subrequestMock2 = std::make_shared<MockSubrequest>();
+    subrequests.push_back(subrequestMock2);
+    WorkerImpl worker(wrapper, subrequests);
+
+    // check if exception will be thrown if worker will be busy - at least one subrequest is pending.
+    EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(1).WillOnce(Return(false));
+    EXPECT_CALL(*subrequestMock2.get(), isPending()).Times(1).WillOnce(Return(true));
+    EXPECT_FALSE(worker.enqueueRequest());
+
+    EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(2).WillOnce(Return(false)).WillOnce(Return(true));
+    EXPECT_CALL(*subrequestMock2.get(), isPending()).Times(2).WillOnce(Return(false)).WillOnce(Return(false));
+    EXPECT_CALL(*subrequestMock1.get(), enqueue()).Times(1).WillOnce(Return(true));
+    EXPECT_CALL(*subrequestMock2.get(), enqueue()).Times(1).WillOnce(Return(false));
+    EXPECT_CALL(*subrequestMock1.get(), cleanup()).Times(1);
+    EXPECT_CALL(*subrequestMock2.get(), cleanup()).Times(0);
+    EXPECT_FALSE(worker.enqueueRequest());
 }
 
 TEST_F(GNA_Request_WorkerImplTest, wait) {
@@ -107,6 +131,13 @@ TEST_F(GNA_Request_WorkerImplTest, wait) {
     EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(1).WillOnce(Return(false));
     EXPECT_CALL(*subrequestMock1.get(), isAborted()).Times(1).WillOnce(Return(true));
     EXPECT_EQ(RequestStatus::kAborted, worker.wait(referenceTimeout));
+
+    // subrequest enuqued and completed with error
+    EXPECT_CALL(*subrequestMock1.get(), isPending()).Times(2).WillOnce(Return(true)).WillOnce(Return(false));
+    EXPECT_CALL(*subrequestMock1.get(), wait(referenceTimeout))
+        .Times(1)
+        .WillOnce(Return(RequestStatus::kCompletedWithError));
+    EXPECT_EQ(RequestStatus::kCompletedWithError, worker.wait(referenceTimeout));
 }
 
 TEST_F(GNA_Request_WorkerImplTest, isFree) {

src/plugins/intel_gna/tests/unit/request/mock_subrequest.hpp

@@ -13,7 +13,8 @@ namespace request {
 class MockSubrequest : public Subrequest {
 public:
     MOCK_METHOD(RequestStatus, wait, (int64_t), (override));
-    MOCK_METHOD(void, enqueue, (), (override));
+    MOCK_METHOD(bool, enqueue, (), (override));
+    MOCK_METHOD(void, cleanup, (), (override));
     MOCK_METHOD(bool, isPending, (), (const, override));
     MOCK_METHOD(bool, isAborted, (), (const, override));
     MOCK_METHOD(bool, isCompleted, (), (const, override));

src/plugins/intel_gna/tests/unit/request/mock_worker.hpp

@@ -14,7 +14,7 @@ class MockWorker : public Worker {
 public:
     MOCK_METHOD(Gna2Model*, model, (), (override));
     MOCK_METHOD(const Gna2Model*, model, (), (const, override));
-    MOCK_METHOD(void, enqueueRequest, (), (override));
+    MOCK_METHOD(bool, enqueueRequest, (), (override));
     MOCK_METHOD(RequestStatus, wait, (int64_t), (override));
     MOCK_METHOD(bool, isFree, (), (const, override));
     MOCK_METHOD(uint32_t, representingIndex, (), (const, override));

src/plugins/intel_gna/tests/unit/scale_factor_helper_test.cpp

@@ -36,7 +36,6 @@ public:
         if (!legacy_str.empty()) {
             name += "," + legacy_str;
         }
-        std::cout << "name: " << name << std::endl;
         return name;
     }
     void SetUp() override {