diff --git a/CMakeLists.txt b/CMakeLists.txt
index d3d1fac..267ad37 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -743,6 +743,7 @@
             src/armnnDeserializer/test/DeserializeFloor.cpp
             src/armnnDeserializer/test/DeserializeFullyConnected.cpp
             src/armnnDeserializer/test/DeserializeGather.cpp
+            src/armnnDeserializer/test/DeserializeGatherNd.cpp
             src/armnnDeserializer/test/DeserializeInstanceNormalization.cpp
             src/armnnDeserializer/test/DeserializeL2Normalization.cpp
             src/armnnDeserializer/test/DeserializeLogSoftmax.cpp
diff --git a/docs/05_02_deserializer_serializer.dox b/docs/05_02_deserializer_serializer.dox
index 84324d8..6cfaf29 100644
--- a/docs/05_02_deserializer_serializer.dox
+++ b/docs/05_02_deserializer_serializer.dox
@@ -41,6 +41,7 @@
 - Floor
 - FullyConnected
 - Gather
+- GatherNd
 - Input
 - InstanceNormalization
 - L2Normalization
@@ -131,6 +132,7 @@
 - Floor
 - FullyConnected
 - Gather
+- GatherNd
 - Input
 - InstanceNormalization
 - L2Normalization
@@ -147,6 +149,7 @@
 - Pad
 - Permute
 - Pooling2d
+- Pooling3d
 - Prelu
 - Quantize
 - QLstm
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index 11d3542..75c60cc 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -234,6 +234,7 @@
     m_ParserFunctions[Layer_FillLayer]                   = &DeserializerImpl::ParseFill;
     m_ParserFunctions[Layer_FloorLayer]                  = &DeserializerImpl::ParseFloor;
     m_ParserFunctions[Layer_GatherLayer]                 = &DeserializerImpl::ParseGather;
+    m_ParserFunctions[Layer_GatherNdLayer]               = &DeserializerImpl::ParseGatherNd;
     m_ParserFunctions[Layer_GreaterLayer]                = &DeserializerImpl::ParseGreater;
     m_ParserFunctions[Layer_InstanceNormalizationLayer]  = &DeserializerImpl::ParseInstanceNormalization;
     m_ParserFunctions[Layer_L2NormalizationLayer]        = &DeserializerImpl::ParseL2Normalization;
@@ -331,6 +332,8 @@
             return graphPtr->layers()->Get(layerIndex)->layer_as_FloorLayer()->base();
         case Layer::Layer_GatherLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_GatherLayer()->base();
+        case Layer::Layer_GatherNdLayer:
+            return graphPtr->layers()->Get(layerIndex)->layer_as_GatherNdLayer()->base();
         case Layer::Layer_GreaterLayer:
             return graphPtr->layers()->Get(layerIndex)->layer_as_GreaterLayer()->base();
         case Layer::Layer_InputLayer:
@@ -2933,6 +2936,26 @@
     RegisterOutputSlots(graph, layerIndex, layer);
 }
 
+void IDeserializer::DeserializerImpl::ParseGatherNd(GraphPtr graph, unsigned int layerIndex)
+{
+    CHECK_LAYERS(graph, 0, layerIndex);
+
+    TensorRawPtrVector inputs = GetInputs(graph, layerIndex);
+    CHECK_VALID_SIZE(inputs.size(), 2);
+
+    TensorRawPtrVector outputs = GetOutputs(graph, layerIndex);
+    CHECK_VALID_SIZE(outputs.size(), 1);
+
+    auto layerName = GetLayerName(graph, layerIndex);
+    IConnectableLayer* layer = m_Network->AddGatherNdLayer(layerName.c_str());
+
+    armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
+    layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
+
+    RegisterInputSlots(graph, layerIndex, layer);
+    RegisterOutputSlots(graph, layerIndex, layer);
+}
+
 void IDeserializer::DeserializerImpl::ParseMean(GraphPtr graph, unsigned int layerIndex)
 {
     CHECK_LAYERS(graph, 0, layerIndex);
diff --git a/src/armnnDeserializer/Deserializer.hpp b/src/armnnDeserializer/Deserializer.hpp
index 8de492e..277c09a 100644
--- a/src/armnnDeserializer/Deserializer.hpp
+++ b/src/armnnDeserializer/Deserializer.hpp
@@ -108,6 +108,7 @@
     void ParseFloor(GraphPtr graph, unsigned int layerIndex);
     void ParseFullyConnected(GraphPtr graph, unsigned int layerIndex);
     void ParseGather(GraphPtr graph, unsigned int layerIndex);
+    void ParseGatherNd(GraphPtr graph, unsigned int layerIndex);
     void ParseGreater(GraphPtr graph, unsigned int layerIndex);
     void ParseInstanceNormalization(GraphPtr graph, unsigned int layerIndex);
     void ParseL2Normalization(GraphPtr graph, unsigned int layerIndex);
diff --git a/src/armnnDeserializer/test/DeserializeGatherNd.cpp b/src/armnnDeserializer/test/DeserializeGatherNd.cpp
new file mode 100644
index 0000000..684a42c
--- /dev/null
+++ b/src/armnnDeserializer/test/DeserializeGatherNd.cpp
@@ -0,0 +1,146 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ParserFlatbuffersSerializeFixture.hpp"
+#include <armnnDeserializer/IDeserializer.hpp>
+
+#include <string>
+
+TEST_SUITE("Deserializer_GatherNd")
+{
+struct GatherNdFixture : public ParserFlatbuffersSerializeFixture
+{
+    explicit GatherNdFixture(const std::string& paramsShape,
+                             const std::string& indicesShape,
+                             const std::string& outputShape,
+                             const std::string& indicesData,
+                             const std::string dataType,
+                             const std::string constDataType)
+    {
+        m_JsonString = R"(
+        {
+                inputIds: [0],
+                outputIds: [3],
+                layers: [
+                {
+                    layer_type: "InputLayer",
+                    layer: {
+                          base: {
+                                layerBindingId: 0,
+                                base: {
+                                    index: 0,
+                                    layerName: "InputLayer",
+                                    layerType: "Input",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + paramsShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                            }}]
+                                    }
+                    }}},
+                    {
+                    layer_type: "ConstantLayer",
+                        layer: {
+                               base: {
+                                  index:1,
+                                  layerName: "ConstantLayer",
+                                  layerType: "Constant",
+                                   outputSlots: [ {
+                                    index: 0,
+                                    tensorInfo: {
+                                        dimensions: )" + indicesShape + R"(,
+                                        dataType: "Signed32",
+                                    },
+                                  }],
+                              },
+                              input: {
+                              info: {
+                                       dimensions: )" + indicesShape + R"(,
+                                       dataType: )" + dataType + R"(
+                                   },
+                              data_type: )" + constDataType + R"(,
+                              data: {
+                                  data: )" + indicesData + R"(,
+                                    } }
+                                },},
+                    {
+                    layer_type: "GatherNdLayer",
+                        layer: {
+                              base: {
+                                   index: 2,
+                                   layerName: "GatherNdLayer",
+                                   layerType: "GatherNd",
+                                   inputSlots: [
+                                   {
+                                       index: 0,
+                                       connection: {sourceLayerIndex:0, outputSlotIndex:0 },
+                                   },
+                                   {
+                                        index: 1,
+                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 }
+                                   }],
+                                   outputSlots: [ {
+                                          index: 0,
+                                          tensorInfo: {
+                                               dimensions: )" + outputShape + R"(,
+                                               dataType: )" + dataType + R"(
+
+                                   }}]},
+                        }},
+                    {
+                    layer_type: "OutputLayer",
+                    layer: {
+                        base:{
+                              layerBindingId: 0,
+                              base: {
+                                    index: 3,
+                                    layerName: "OutputLayer",
+                                    layerType: "Output",
+                                    inputSlots: [{
+                                        index: 0,
+                                        connection: {sourceLayerIndex:2, outputSlotIndex:0 },
+                                    }],
+                                    outputSlots: [ {
+                                        index: 0,
+                                        tensorInfo: {
+                                            dimensions: )" + outputShape + R"(,
+                                            dataType: )" + dataType + R"(
+                                        },
+                                }],
+                            }}},
+                }]
+                 } )";
+
+        Setup();
+    }
+};
+
+struct SimpleGatherNdFixtureFloat32 : GatherNdFixture
+{
+    SimpleGatherNdFixtureFloat32() : GatherNdFixture("[ 6, 3 ]", "[ 3, 1 ]", "[ 3, 3 ]",
+                                                     "[ 5, 1, 0 ]", "Float32", "IntData") {}
+};
+
+TEST_CASE_FIXTURE(SimpleGatherNdFixtureFloat32, "GatherNdFloat32")
+{
+    RunTest<4, armnn::DataType::Float32>(0,
+                                         {{"InputLayer", {  1,  2,  3,
+                                                            4,  5,  6,
+                                                            7,  8,  9,
+                                                            10, 11, 12,
+                                                            13, 14, 15,
+                                                            16, 17, 18 }}},
+                                         {{"OutputLayer", { 16, 17, 18,
+                                                            4,  5,  6,
+                                                            1,  2,  3}}});
+}
+
+}
+
diff --git a/src/armnnSerializer/ArmnnSchema.fbs b/src/armnnSerializer/ArmnnSchema.fbs
index c8ffce4..f301fce 100644
--- a/src/armnnSerializer/ArmnnSchema.fbs
+++ b/src/armnnSerializer/ArmnnSchema.fbs
@@ -181,6 +181,7 @@
     ChannelShuffle = 64,
     Convolution3d = 65,
     Pooling3d = 66,
+    GatherNd = 67,
 }
 
 // Base layer table to be used as part of other layers
@@ -382,6 +383,10 @@
     axis:int = 0;
 }
 
+table GatherNdLayer {
+    base:LayerBase;
+}
+
 /// @deprecated Use ComparisonLayer instead
 table GreaterLayer {
     base:LayerBase;
@@ -1072,6 +1077,7 @@
     ChannelShuffleLayer,
     Convolution3dLayer,
     Pooling3dLayer,
+    GatherNdLayer,
 }
 
 table AnyLayer {
diff --git a/src/armnnSerializer/ArmnnSchema_generated.h b/src/armnnSerializer/ArmnnSchema_generated.h
index 76a6460..8f803f5 100644
--- a/src/armnnSerializer/ArmnnSchema_generated.h
+++ b/src/armnnSerializer/ArmnnSchema_generated.h
@@ -1,5 +1,5 @@
 //
-// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 // automatically generated by the FlatBuffers compiler, do not modify
@@ -131,6 +131,9 @@
 struct GatherDescriptor;
 struct GatherDescriptorBuilder;
 
+struct GatherNdLayer;
+struct GatherNdLayerBuilder;
+
 struct GreaterLayer;
 struct GreaterLayerBuilder;
 
@@ -777,11 +780,12 @@
   LayerType_ChannelShuffle = 64,
   LayerType_Convolution3d = 65,
   LayerType_Pooling3d = 66,
+  LayerType_GatherNd = 67,
   LayerType_MIN = LayerType_Addition,
-  LayerType_MAX = LayerType_Pooling3d
+  LayerType_MAX = LayerType_GatherNd
 };
 
-inline const LayerType (&EnumValuesLayerType())[67] {
+inline const LayerType (&EnumValuesLayerType())[68] {
   static const LayerType values[] = {
     LayerType_Addition,
     LayerType_Input,
@@ -849,13 +853,14 @@
     LayerType_UnidirectionalSequenceLstm,
     LayerType_ChannelShuffle,
     LayerType_Convolution3d,
-    LayerType_Pooling3d
+    LayerType_Pooling3d,
+    LayerType_GatherNd
   };
   return values;
 }
 
 inline const char * const *EnumNamesLayerType() {
-  static const char * const names[68] = {
+  static const char * const names[69] = {
     "Addition",
     "Input",
     "Multiplication",
@@ -923,13 +928,14 @@
     "ChannelShuffle",
     "Convolution3d",
     "Pooling3d",
+    "GatherNd",
     nullptr
   };
   return names;
 }
 
 inline const char *EnumNameLayerType(LayerType e) {
-  if (flatbuffers::IsOutRange(e, LayerType_Addition, LayerType_Pooling3d)) return "";
+  if (flatbuffers::IsOutRange(e, LayerType_Addition, LayerType_GatherNd)) return "";
   const size_t index = static_cast<size_t>(e);
   return EnumNamesLayerType()[index];
 }
@@ -1309,11 +1315,12 @@
   Layer_ChannelShuffleLayer = 65,
   Layer_Convolution3dLayer = 66,
   Layer_Pooling3dLayer = 67,
+  Layer_GatherNdLayer = 68,
   Layer_MIN = Layer_NONE,
-  Layer_MAX = Layer_Pooling3dLayer
+  Layer_MAX = Layer_GatherNdLayer
 };
 
-inline const Layer (&EnumValuesLayer())[68] {
+inline const Layer (&EnumValuesLayer())[69] {
   static const Layer values[] = {
     Layer_NONE,
     Layer_ActivationLayer,
@@ -1382,13 +1389,14 @@
     Layer_UnidirectionalSequenceLstmLayer,
     Layer_ChannelShuffleLayer,
     Layer_Convolution3dLayer,
-    Layer_Pooling3dLayer
+    Layer_Pooling3dLayer,
+    Layer_GatherNdLayer
   };
   return values;
 }
 
 inline const char * const *EnumNamesLayer() {
-  static const char * const names[69] = {
+  static const char * const names[70] = {
     "NONE",
     "ActivationLayer",
     "AdditionLayer",
@@ -1457,13 +1465,14 @@
     "ChannelShuffleLayer",
     "Convolution3dLayer",
     "Pooling3dLayer",
+    "GatherNdLayer",
     nullptr
   };
   return names;
 }
 
 inline const char *EnumNameLayer(Layer e) {
-  if (flatbuffers::IsOutRange(e, Layer_NONE, Layer_Pooling3dLayer)) return "";
+  if (flatbuffers::IsOutRange(e, Layer_NONE, Layer_GatherNdLayer)) return "";
   const size_t index = static_cast<size_t>(e);
   return EnumNamesLayer()[index];
 }
@@ -1740,6 +1749,10 @@
   static const Layer enum_value = Layer_Pooling3dLayer;
 };
 
+template<> struct LayerTraits<armnnSerializer::GatherNdLayer> {
+  static const Layer enum_value = Layer_GatherNdLayer;
+};
+
 bool VerifyLayer(flatbuffers::Verifier &verifier, const void *obj, Layer type);
 bool VerifyLayerVector(flatbuffers::Verifier &verifier, const flatbuffers::Vector<flatbuffers::Offset<void>> *values, const flatbuffers::Vector<uint8_t> *types);
 
@@ -4186,6 +4199,49 @@
   return builder_.Finish();
 }
 
+struct GatherNdLayer FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
+  typedef GatherNdLayerBuilder Builder;
+  enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE {
+    VT_BASE = 4
+  };
+  const armnnSerializer::LayerBase *base() const {
+    return GetPointer<const armnnSerializer::LayerBase *>(VT_BASE);
+  }
+  bool Verify(flatbuffers::Verifier &verifier) const {
+    return VerifyTableStart(verifier) &&
+           VerifyOffset(verifier, VT_BASE) &&
+           verifier.VerifyTable(base()) &&
+           verifier.EndTable();
+  }
+};
+
+struct GatherNdLayerBuilder {
+  typedef GatherNdLayer Table;
+  flatbuffers::FlatBufferBuilder &fbb_;
+  flatbuffers::uoffset_t start_;
+  void add_base(flatbuffers::Offset<armnnSerializer::LayerBase> base) {
+    fbb_.AddOffset(GatherNdLayer::VT_BASE, base);
+  }
+  explicit GatherNdLayerBuilder(flatbuffers::FlatBufferBuilder &_fbb)
+        : fbb_(_fbb) {
+    start_ = fbb_.StartTable();
+  }
+  GatherNdLayerBuilder &operator=(const GatherNdLayerBuilder &);
+  flatbuffers::Offset<GatherNdLayer> Finish() {
+    const auto end = fbb_.EndTable(start_);
+    auto o = flatbuffers::Offset<GatherNdLayer>(end);
+    return o;
+  }
+};
+
+inline flatbuffers::Offset<GatherNdLayer> CreateGatherNdLayer(
+    flatbuffers::FlatBufferBuilder &_fbb,
+    flatbuffers::Offset<armnnSerializer::LayerBase> base = 0) {
+  GatherNdLayerBuilder builder_(_fbb);
+  builder_.add_base(base);
+  return builder_.Finish();
+}
+
 /// @deprecated Use ComparisonLayer instead
 struct GreaterLayer FLATBUFFERS_FINAL_CLASS : private flatbuffers::Table {
   typedef GreaterLayerBuilder Builder;
@@ -10534,6 +10590,9 @@
   const armnnSerializer::Pooling3dLayer *layer_as_Pooling3dLayer() const {
     return layer_type() == armnnSerializer::Layer_Pooling3dLayer ? static_cast<const armnnSerializer::Pooling3dLayer *>(layer()) : nullptr;
   }
+  const armnnSerializer::GatherNdLayer *layer_as_GatherNdLayer() const {
+    return layer_type() == armnnSerializer::Layer_GatherNdLayer ? static_cast<const armnnSerializer::GatherNdLayer *>(layer()) : nullptr;
+  }
   bool Verify(flatbuffers::Verifier &verifier) const {
     return VerifyTableStart(verifier) &&
            VerifyField<uint8_t>(verifier, VT_LAYER_TYPE) &&
@@ -10811,6 +10870,10 @@
   return layer_as_Pooling3dLayer();
 }
 
+template<> inline const armnnSerializer::GatherNdLayer *AnyLayer::layer_as<armnnSerializer::GatherNdLayer>() const {
+  return layer_as_GatherNdLayer();
+}
+
 struct AnyLayerBuilder {
   typedef AnyLayer Table;
   flatbuffers::FlatBufferBuilder &fbb_;
@@ -11309,6 +11372,10 @@
       auto ptr = reinterpret_cast<const armnnSerializer::Pooling3dLayer *>(obj);
       return verifier.VerifyTable(ptr);
     }
+    case Layer_GatherNdLayer: {
+      auto ptr = reinterpret_cast<const armnnSerializer::GatherNdLayer *>(obj);
+      return verifier.VerifyTable(ptr);
+    }
     default: return true;
   }
 }
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index 971621d..3b9dfb0 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -587,6 +587,17 @@
     CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherLayer);
 }
 
+void SerializerStrategy::SerializeGatherNdLayer(const armnn::IConnectableLayer* layer,
+                                                const char* name)
+{
+    IgnoreUnused(name);
+
+    auto fbGatherNdBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_GatherNd);
+    auto flatBufferLayer     = serializer::CreateGatherNdLayer(m_flatBufferBuilder, fbGatherNdBaseLayer);
+
+    CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherNdLayer);
+}
+
 void SerializerStrategy::SerializeInstanceNormalizationLayer(
     const armnn::IConnectableLayer* layer,
     const armnn::InstanceNormalizationDescriptor& instanceNormalizationDescriptor,
@@ -2134,6 +2145,11 @@
             SerializeGatherLayer(layer, layerDescriptor, name);
             break;
         }
+        case armnn::LayerType::GatherNd :
+        {
+            SerializeGatherNdLayer(layer, name);
+            break;
+        }
         case armnn::LayerType::Input:
         {
             SerializeInputLayer(layer, id, name);
diff --git a/src/armnnSerializer/Serializer.hpp b/src/armnnSerializer/Serializer.hpp
index 3905e49..98c1984 100644
--- a/src/armnnSerializer/Serializer.hpp
+++ b/src/armnnSerializer/Serializer.hpp
@@ -191,6 +191,9 @@
                               const armnn::GatherDescriptor& gatherDescriptor,
                               const char* name = nullptr);
 
+    void SerializeGatherNdLayer(const armnn::IConnectableLayer* layer,
+                                const char* name = nullptr);
+
     void SerializeInputLayer(const armnn::IConnectableLayer* layer,
                          armnn::LayerBindingId id,
                          const char* name = nullptr);
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index 966dc6c..a765290 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1109,6 +1109,70 @@
     deserializedNetwork->ExecuteStrategy(verifier);
 }
 
+TEST_CASE("SerializeGatherNd")
+{
+    class GatherNdLayerVerifier : public LayerVerifierBase
+    {
+    public:
+        GatherNdLayerVerifier(const std::string& layerName,
+                            const std::vector<armnn::TensorInfo>& inputInfos,
+                            const std::vector<armnn::TensorInfo>& outputInfos)
+                : LayerVerifierBase(layerName, inputInfos, outputInfos) {}
+
+        void ExecuteStrategy(const armnn::IConnectableLayer* layer,
+                             const armnn::BaseDescriptor& descriptor,
+                             const std::vector<armnn::ConstTensor>& constants,
+                             const char* name,
+                             const armnn::LayerBindingId id = 0) override
+        {
+            armnn::IgnoreUnused(constants, id);
+            switch (layer->GetType())
+            {
+                case armnn::LayerType::Input:
+                case armnn::LayerType::Output:
+                case armnn::LayerType::Constant:
+                    break;
+                default:
+                {
+                    VerifyNameAndConnections(layer, name);
+                }
+            }
+        }
+    };
+
+    const std::string layerName("gatherNd");
+    armnn::TensorInfo paramsInfo({ 6, 3 }, armnn::DataType::QAsymmU8);
+    armnn::TensorInfo outputInfo({ 3, 3 }, armnn::DataType::QAsymmU8);
+    const armnn::TensorInfo indicesInfo({ 3, 1 }, armnn::DataType::Signed32, 0.0f, 0, true);
+
+    paramsInfo.SetQuantizationScale(1.0f);
+    paramsInfo.SetQuantizationOffset(0);
+    outputInfo.SetQuantizationScale(1.0f);
+    outputInfo.SetQuantizationOffset(0);
+
+    const std::vector<int32_t>& indicesData = {5, 1, 0};
+
+    armnn::INetworkPtr network = armnn::INetwork::Create();
+    armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0);
+    armnn::IConnectableLayer *const constantLayer =
+                   network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData));
+    armnn::IConnectableLayer *const gatherNdLayer = network->AddGatherNdLayer(layerName.c_str());
+    armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0);
+
+    inputLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(0));
+    constantLayer->GetOutputSlot(0).Connect(gatherNdLayer->GetInputSlot(1));
+    gatherNdLayer->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
+
+    inputLayer->GetOutputSlot(0).SetTensorInfo(paramsInfo);
+    constantLayer->GetOutputSlot(0).SetTensorInfo(indicesInfo);
+    gatherNdLayer->GetOutputSlot(0).SetTensorInfo(outputInfo);
+
+    armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
+    CHECK(deserializedNetwork);
+
+    GatherNdLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo});
+    deserializedNetwork->ExecuteStrategy(verifier);
+}
 
 TEST_CASE("SerializeComparisonGreater")
 {