diff --git a/inference-engine/src/gna_plugin/gna_graph_tools.hpp b/inference-engine/src/gna_plugin/gna_graph_tools.hpp
index 173a15edd3b..29c708d89ee 100644
--- a/inference-engine/src/gna_plugin/gna_graph_tools.hpp
+++ b/inference-engine/src/gna_plugin/gna_graph_tools.hpp
@@ -161,7 +161,7 @@ inline std::pair<InferenceEngine::CNNLayerPtr, int>  CNNNetCheckNextLayerSkipCer
         if (bOnlyCheck) return {nullptr, 0};
         THROW_GNA_LAYER_EXCEPTION(layer) << " no next output layer for outdata: " << oidx;
     }
-    if (iidx >= getInputTo(layer->outData[oidx]).size()) {
+    if (getInputTo(layer->outData[oidx]).empty() || iidx >= getInputTo(layer->outData[oidx]).size()) {
         if (bOnlyCheck) return {nullptr, 0};
         THROW_GNA_LAYER_EXCEPTION(layer) << " no next output layer for outdata: " << oidx << " and inputTo index: " << iidx;
     }
diff --git a/inference-engine/src/gna_plugin/gna_plugin.cpp b/inference-engine/src/gna_plugin/gna_plugin.cpp
index 6c2b04b79f8..c8a337c3617 100644
--- a/inference-engine/src/gna_plugin/gna_plugin.cpp
+++ b/inference-engine/src/gna_plugin/gna_plugin.cpp
@@ -585,7 +585,7 @@ void GNAPlugin::ConvertModelLayoutFromNCHWToNHWC(const std::vector<CNNLayerPtr>
             if (InferenceEngine::CNNNetHasPrevLayer(l.get())) {
                 transpositionInfo = FindTranspositionInfoFromPrevLayers(InferenceEngine::CNNNetPrevLayer(l));
                 // If no convolutions are found try to find them in next layers
-                if (!foundPartToTranspose(transpositionInfo)) {
+                if (!foundPartToTranspose(transpositionInfo) && !l->outData.empty() && !getInputTo(l->outData[0]).empty()) {
                     transpositionInfo = FindTranspositionInfoFromNextLayers(getInputTo(l->outData[0]).begin()->second);
                 }
             }
@@ -662,7 +662,7 @@ void GNAPlugin::ConvertModelLayoutFromNCHWToNHWC(const std::vector<CNNLayerPtr>
             }
             // Find a convolution in previous or next layers
             auto transpositionInfo = FindTranspositionInfoFromPrevLayers(firstInput);
-            if (!foundPartToTranspose(transpositionInfo)) {
+            if (!foundPartToTranspose(transpositionInfo) && !l->outData.empty() && !getInputTo(l->outData[0]).empty()) {
                 transpositionInfo = FindTranspositionInfoFromNextLayers(getInputTo(l->outData[0]).begin()->second);
             }
             if (!transpositionInfo.empty()) {
diff --git a/inference-engine/src/gna_plugin/gna_plugin_config.hpp b/inference-engine/src/gna_plugin/gna_plugin_config.hpp
index c9f8b0d676a..b27508fbf1f 100644
--- a/inference-engine/src/gna_plugin/gna_plugin_config.hpp
+++ b/inference-engine/src/gna_plugin/gna_plugin_config.hpp
@@ -1,4 +1,4 @@
-// Copyright (C) 2020 Intel Corporation
+// Copyright (C) 2020-2021 Intel Corporation
 // SPDX-License-Identifier: Apache-2.0
 //
 
@@ -23,6 +23,13 @@ struct Config {
         AdjustKeyMapValues();
     }
     Config(const Config& r) {
+        Copy(r);
+    }
+    Config& operator=(const Config& r) {
+        Copy(r);
+        return *this;
+    }
+    void Copy(const Config& r) {
         gnaPrecision = r.gnaPrecision;
         dumpXNNPath = r.dumpXNNPath;
         dumpXNNGeneration = r.dumpXNNGeneration;
diff --git a/inference-engine/src/gna_plugin/memory/gna_memory.hpp b/inference-engine/src/gna_plugin/memory/gna_memory.hpp
index 5916ab52a91..cc52398b95f 100644
--- a/inference-engine/src/gna_plugin/memory/gna_memory.hpp
+++ b/inference-engine/src/gna_plugin/memory/gna_memory.hpp
@@ -1,4 +1,4 @@
-// Copyright (C) 2018-2020 Intel Corporation
+// Copyright (C) 2018-2021 Intel Corporation
 // SPDX-License-Identifier: Apache-2.0
 //
 
@@ -30,7 +30,7 @@ class GNAMemory : public GNAMemRequestsQueue {
     size_t _rw_section_size = 0;
     size_t _ro_section_size = 0;
     Allocator _allocator;
-    std::shared_ptr<uint8_t> heap;
+    std::shared_ptr<uint8_t> heap = nullptr;
     size_t _page_alignment = 1;
 
     class GNAMemRequestsReadOnlyQueue : public GNAMemRequestsQueue {
diff --git a/inference-engine/src/gna_plugin/optimizer/gna_pass_manager.cpp b/inference-engine/src/gna_plugin/optimizer/gna_pass_manager.cpp
index c5b0ef56ea6..ceb51c1a1f0 100644
--- a/inference-engine/src/gna_plugin/optimizer/gna_pass_manager.cpp
+++ b/inference-engine/src/gna_plugin/optimizer/gna_pass_manager.cpp
@@ -678,11 +678,15 @@ void RemovePermutationsNHWCToNCHWPass::run() {
             data->setLayout(Layout::NHWC);
         };
 
-        auto current_layer = getInputTo(pattern_start->outData[0]).begin()->second;
+        auto input_to = getInputTo(pattern_start->outData[0]);
+        IE_ASSERT(!input_to.empty());
+        auto current_layer = input_to.begin()->second;
         setNHWCOrder(current_layer->input());
         while (current_layer != pattern_end) {
             setNHWCOrder(current_layer->outData[0]);
-            current_layer = getInputTo(current_layer->outData[0]).begin()->second;
+            input_to = getInputTo(current_layer->outData[0]);
+            IE_ASSERT(!input_to.empty());
+            current_layer = input_to.begin()->second;
         }
 
         if (LayerInfo(pattern_start).isPermute() && !getInputTo(pattern_start->outData.front()).empty()) {