diff --git a/inference-engine/src/gna_plugin/backend/am_intel_dnn.cpp b/inference-engine/src/gna_plugin/backend/am_intel_dnn.cpp
index 6d0a1990bcb..0b214dc2fdf 100644
--- a/inference-engine/src/gna_plugin/backend/am_intel_dnn.cpp
+++ b/inference-engine/src/gna_plugin/backend/am_intel_dnn.cpp
@@ -1402,9 +1402,7 @@ void GNAPluginNS::backend::AMIntelDNN::InitGNAStruct(intel_nnet_type_t *ptr_nnet
                                 comp.num_columns_out,
                                 comp.op.affine.num_bytes_per_bias,
                                 comp.op.affine.ptr_biases),
-                        createGna2TensorPwl(
-                                0,
-                                nullptr),  //  Temporal PWL as not null required by Gna2OperationInitRecurrent
+                        nullptr,
                         create_uint32_parameter(1));    // TODO: GNA2: Handle other delays
                 AdvanceOperationIfAllApplied(component, i, gnaOperation);
 #else
@@ -1464,9 +1462,7 @@ void GNAPluginNS::backend::AMIntelDNN::InitGNAStruct(intel_nnet_type_t *ptr_nnet
                                 comp.op.conv1D.num_filters,
                                 comp.op.conv1D.num_bytes_per_bias,
                                 comp.op.conv1D.ptr_biases),
-                        createGna2TensorPwl(
-                                0,
-                                nullptr),  // Temporal PWL as not null required by Gna2OperationInitConvolution
+                        nullptr,
                         create_shape1D_parameter(
                                 comp.op.conv1D.num_feature_maps * comp.op.conv1D.num_feature_map_columns),
                         nullptr);
@@ -1520,7 +1516,8 @@ void GNAPluginNS::backend::AMIntelDNN::InitGNAStruct(intel_nnet_type_t *ptr_nnet
                     THROW_GNA_EXCEPTION << "Pooling component with no preceeding component";
 #if  GNA_LIB_VER == 2
                 } else if (gnaOperation->Type == Gna2OperationTypeConvolution) {
-                    if (gnaOperation->Operands[PwlOpIdx]->Shape.Dimensions[0] != 0) {
+                    auto pwlOperand = gnaOperation->Operands[PwlOpIdx];
+                    if (pwlOperand != nullptr && pwlOperand->Shape.Dimensions[0] != 0) {
                         THROW_GNA_EXCEPTION << "Encountered activation component before pooling component at." << i;
                     } else {
                         const auto poolMode = reinterpret_cast<Gna2PoolingMode*>(gnaUserAllocator(sizeof(Gna2PoolingMode)));