[GNA] Additional checks (#998)

Author: dorloff

inference-engine/src/gna_plugin/backend/am_intel_dnn.cpp

@@ -1584,6 +1584,7 @@ void GNAPluginNS::backend::AMIntelDNN::InitGNAStruct(intel_nnet_type_t *ptr_nnet
             case kDnnPiecewiselinearOp:
 #if  GNA_LIB_VER == 2
                 {
+                    IE_ASSERT(gnaOperation->Operands != nullptr);
                     auto& outputTensor = const_cast<Gna2Tensor&>(*gnaOperation->Operands[OutOpIdx]);
                     outputTensor.Data = comp.ptr_outputs;
                     outputTensor.Type = Gna2DataTypeFromBytes(comp.num_bytes_per_output);

inference-engine/src/gna_plugin/gna_graph_compiler.cpp

@@ -337,6 +337,7 @@ void GNAGraphCompiler::ConvolutionPrimitive(InferenceEngine::CNNLayerPtr layer)
 void GNAGraphCompiler::PowerPrimitive(InferenceEngine::CNNLayerPtr layer) {
     auto& power = dynamic_cast<PowerLayer&>(*layer.get());
     auto quantized = InferenceEngine::getInjectedData<QuantizedLayerParams>(layer);
+    IE_ASSERT(gnaFlags->sw_fp32 ? (quantized == nullptr) : (quantized != nullptr));
 
     if (power.power != 1.0) {
         THROW_IE_EXCEPTION << "[GNA plugin] unsupported power factor, expected 1 but was " << power.power;

inference-engine/src/gna_plugin/gna_model_serial.cpp

@@ -161,8 +161,8 @@ void GNAModelSerial::Import(void *basePointer, size_t gnaGraphSize, std::istream
         for (uint32_t i = 0; i < operation->NumberOfParameters; i++) {
             uint32_t paramSize;
             readBits(paramSize, is);
+            IE_ASSERT(operation->Parameters != nullptr);
             if (paramSize == 0) {
-                IE_ASSERT(operation->Parameters != nullptr);
                 operation->Parameters[i] = nullptr;
                 continue;
             }