diff --git a/include/armnn/Descriptors.hpp b/include/armnn/Descriptors.hpp
index 653e647..60aa219 100644
--- a/include/armnn/Descriptors.hpp
+++ b/include/armnn/Descriptors.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -730,6 +730,26 @@
     float m_Value;
 };
 
+/// A GatherDescriptor for the GatherLayer.
+struct GatherDescriptor
+{
+    GatherDescriptor()
+        : m_Axis(0)
+    {}
+
+    GatherDescriptor(int32_t axis)
+        : m_Axis(axis)
+    {}
+
+    bool operator ==(const GatherDescriptor& rhs) const
+    {
+        return m_Axis == rhs.m_Axis;
+    }
+
+    /// The axis in params to gather indices from
+    int32_t m_Axis;
+};
+
 /// A ResizeBilinearDescriptor for the ResizeBilinearLayer.
 struct ResizeBilinearDescriptor
 {
diff --git a/include/armnn/DescriptorsFwd.hpp b/include/armnn/DescriptorsFwd.hpp
index e31fb96..fba976c 100644
--- a/include/armnn/DescriptorsFwd.hpp
+++ b/include/armnn/DescriptorsFwd.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -20,6 +20,7 @@
 struct FakeQuantizationDescriptor;
 struct FillDescriptor;
 struct FullyConnectedDescriptor;
+struct GatherDescriptor;
 struct InstanceNormalizationDescriptor;
 struct L2NormalizationDescriptor;
 struct LstmDescriptor;
diff --git a/include/armnn/ILayerSupport.hpp b/include/armnn/ILayerSupport.hpp
index 33389eb..889b811 100644
--- a/include/armnn/ILayerSupport.hpp
+++ b/include/armnn/ILayerSupport.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -173,11 +173,18 @@
                                            const FullyConnectedDescriptor& descriptor,
                                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
+    ARMNN_DEPRECATED_MSG("Use IsGatherSupported with descriptor instead")
     virtual bool IsGatherSupported(const TensorInfo& input0,
                                    const TensorInfo& input1,
                                    const TensorInfo& output,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
 
+    virtual bool IsGatherSupported(const TensorInfo& input0,
+                                   const TensorInfo& input1,
+                                   const TensorInfo& output,
+                                   const GatherDescriptor& descriptor,
+                                   Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const = 0;
+
     ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     virtual bool IsGreaterSupported(const TensorInfo& input0,
                                     const TensorInfo& input1,
diff --git a/include/armnn/ILayerVisitor.hpp b/include/armnn/ILayerVisitor.hpp
index aa5bdba..9b3998d 100644
--- a/include/armnn/ILayerVisitor.hpp
+++ b/include/armnn/ILayerVisitor.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -214,9 +214,18 @@
     /// Function a Gather layer should call back to when its Accept(ILayerVisitor&) function is invoked.
     /// @param layer - pointer to the layer which is calling back to this visit function.
     /// @param name - Optional name for the layer.
+    ARMNN_DEPRECATED_MSG("Use VisitGatherLayer with descriptor instead")
     virtual void VisitGatherLayer(const IConnectableLayer* layer,
                                   const char* name = nullptr) = 0;
 
+    /// Function a Gather layer should call back to when its Accept(ILayerVisitor&) function is invoked.
+    /// @param layer - pointer to the layer which is calling back to this visit function.
+    /// @param gatherDescriptor - Parameters for the gather operation.
+    /// @param name - Optional name for the layer.
+    virtual void VisitGatherLayer(const IConnectableLayer* layer,
+                                  const GatherDescriptor& gatherDescriptor,
+                                  const char* name = nullptr) = 0;
+
     /// Function a Greater layer should call back to when its Accept(ILayerVisitor&) function is invoked.
     /// @param layer - pointer to the layer which is calling back to this visit function.
     /// @param name - Optional name for the layer.
diff --git a/include/armnn/INetwork.hpp b/include/armnn/INetwork.hpp
index 49cd582..8e7a443 100644
--- a/include/armnn/INetwork.hpp
+++ b/include/armnn/INetwork.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -128,7 +128,7 @@
     /// Add a Comparison layer to the network.
     /// @param name - Optional name for the layer.
     /// @param desc - Descriptor for the comparison operation.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     virtual IConnectableLayer* AddComparisonLayer(const ComparisonDescriptor& comparisonDescriptor,
                                                   const char* name = nullptr) = 0;
 
@@ -324,7 +324,7 @@
 
     /// Add absolute layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     ARMNN_DEPRECATED_MSG("Use AddElementwiseUnaryLayer instead")
     virtual IConnectableLayer* AddAbsLayer(const char* name = nullptr) = 0;
 
@@ -453,13 +453,13 @@
 
     /// Add a Maximum layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     virtual IConnectableLayer* AddMaximumLayer(const char* name = nullptr) = 0;
 
     /// Add a Mean layer to the network.
     /// @param meanDescriptor - Parameters for the mean operation.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     virtual IConnectableLayer* AddMeanLayer(const MeanDescriptor& meanDescriptor, const char* name = nullptr) = 0;
 
     /// Adds a fully pad layer to the network.
@@ -485,32 +485,40 @@
 
     /// Add a Minimum layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     virtual IConnectableLayer* AddMinimumLayer(const char* name = nullptr) = 0;
 
     /// Add a Greater layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     ARMNN_DEPRECATED_MSG("Use AddComparisonLayer instead")
     virtual IConnectableLayer* AddGreaterLayer(const char* name = nullptr) = 0;
 
     /// Add a Equal layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     ARMNN_DEPRECATED_MSG("Use AddComparisonLayer instead")
     virtual IConnectableLayer* AddEqualLayer(const char* name = nullptr) = 0;
 
     /// Add Reciprocal of square root layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
     ARMNN_DEPRECATED_MSG("Use AddElementwiseUnaryLayer instead")
     virtual IConnectableLayer* AddRsqrtLayer(const char* name = nullptr) = 0;
 
     /// Add Gather layer to the network.
     /// @param name - Optional name for the layer.
-    /// @ return - Interface for configuring the layer.
+    /// @return - Interface for configuring the layer.
+    ARMNN_DEPRECATED_MSG("Use AddGatherLayer with descriptor instead")
     virtual IConnectableLayer* AddGatherLayer(const char* name = nullptr) = 0;
 
+    /// Add Gather layer to the network.
+    /// @param descriptor - Description of the gather layer.
+    /// @param name - Optional name for the layer.
+    /// @return - Interface for configuring the layer.
+    virtual IConnectableLayer* AddGatherLayer(const GatherDescriptor& descriptor,
+                                              const char* name = nullptr) = 0;
+
     /// Adds a switch layer to the network.
     /// @param name - Optional name for the layer.
     /// @return - Interface for configuring the layer.
diff --git a/include/armnn/LayerVisitorBase.hpp b/include/armnn/LayerVisitorBase.hpp
index 0dc5e54..93ba7fe 100644
--- a/include/armnn/LayerVisitorBase.hpp
+++ b/include/armnn/LayerVisitorBase.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -114,9 +114,14 @@
                                   const Optional<ConstTensor>&,
                                   const char*) override { DefaultPolicy::Apply(__func__); }
 
+    ARMNN_DEPRECATED_MSG("Use VisitGatherLayer with descriptor instead")
     void VisitGatherLayer(const IConnectableLayer*,
                           const char*) override { DefaultPolicy::Apply(__func__); }
 
+    void VisitGatherLayer(const IConnectableLayer*,
+                          const GatherDescriptor&,
+                          const char*) override { DefaultPolicy::Apply(__func__); }
+
     void VisitGreaterLayer(const IConnectableLayer*,
                            const char*) override { DefaultPolicy::Apply(__func__); }
 
diff --git a/src/armnn/LayerSupport.cpp b/src/armnn/LayerSupport.cpp
index fe5b542..197e1af 100644
--- a/src/armnn/LayerSupport.cpp
+++ b/src/armnn/LayerSupport.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -305,6 +305,7 @@
     FORWARD_LAYER_SUPPORT_FUNC(backend, IsFullyConnectedSupported, input, output, weights, biases, descriptor);
 }
 
+ARMNN_DEPRECATED_MSG("Use IsGatherSupported with descriptor instead")
 bool IsGatherSupported(const BackendId& backend,
                        const TensorInfo& input0,
                        const TensorInfo& input1,
@@ -312,7 +313,19 @@
                        char* reasonIfUnsupported,
                        size_t reasonIfUnsupportedMaxLength)
 {
-    FORWARD_LAYER_SUPPORT_FUNC(backend, IsGatherSupported, input0, input1, output);
+    const GatherDescriptor descriptor{};
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsGatherSupported, input0, input1, output, descriptor);
+}
+
+bool IsGatherSupported(const BackendId& backend,
+                       const TensorInfo& input0,
+                       const TensorInfo& input1,
+                       const TensorInfo& output,
+                       const GatherDescriptor& descriptor,
+                       char* reasonIfUnsupported,
+                       size_t reasonIfUnsupportedMaxLength)
+{
+    FORWARD_LAYER_SUPPORT_FUNC(backend, IsGatherSupported, input0, input1, output, descriptor);
 }
 
 bool IsGreaterSupported(const BackendId& backend,
diff --git a/src/armnn/Network.cpp b/src/armnn/Network.cpp
index 180c00b..6c7314f 100644
--- a/src/armnn/Network.cpp
+++ b/src/armnn/Network.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -1724,7 +1724,14 @@
 
 IConnectableLayer* Network::AddGatherLayer(const char* name)
 {
-    return m_Graph->AddLayer<GatherLayer>(name);
+    GatherDescriptor gatherDescriptor{};
+    return AddGatherLayer(gatherDescriptor, name);
+}
+
+IConnectableLayer* Network::AddGatherLayer(const GatherDescriptor& gatherDescriptor,
+                                           const char* name)
+{
+    return m_Graph->AddLayer<GatherLayer>(gatherDescriptor, name);
 }
 
 IConnectableLayer* Network::AddMergeLayer(const char* name)
diff --git a/src/armnn/Network.hpp b/src/armnn/Network.hpp
index cac2b3a..53bf311 100644
--- a/src/armnn/Network.hpp
+++ b/src/armnn/Network.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -116,8 +116,12 @@
                                               const ConstTensor& biases,
                                               const char* name = nullptr) override;
 
+    ARMNN_DEPRECATED_MSG("This AddGatherLayer overload is deprecated")
     IConnectableLayer* AddGatherLayer(const char* name = nullptr) override;
 
+    IConnectableLayer* AddGatherLayer(const GatherDescriptor& gatherDescriptor,
+                                      const char* name = nullptr) override;
+
     IConnectableLayer* AddPermuteLayer(const PermuteDescriptor& permuteDescriptor,
                                        const char* name = nullptr) override;
 
diff --git a/src/armnn/layers/GatherLayer.cpp b/src/armnn/layers/GatherLayer.cpp
index a999130..3e85d25 100644
--- a/src/armnn/layers/GatherLayer.cpp
+++ b/src/armnn/layers/GatherLayer.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -13,8 +13,8 @@
 namespace armnn
 {
 
-GatherLayer::GatherLayer(const char* name)
-    : Layer(2, 1, LayerType::Gather, name)
+GatherLayer::GatherLayer(const GatherDescriptor& param, const char* name)
+    : LayerWithParameters(2, 1, LayerType::Gather, param, name)
 {
 }
 
@@ -26,7 +26,7 @@
 
 GatherLayer* GatherLayer::Clone(Graph& graph) const
 {
-    return CloneBase<GatherLayer>(graph, GetName());
+    return CloneBase<GatherLayer>(graph, m_Param, GetName());
 }
 
 void GatherLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod)
@@ -44,11 +44,22 @@
 
     std::vector<unsigned int> dimSizes;
 
-    for (unsigned int i = 0; i < indicesDim; ++i)
+    unsigned int axis = static_cast<unsigned int>(m_Param.m_Axis);
+    if (m_Param.m_Axis < 0)
     {
-        dimSizes.push_back(indices.GetShape()[i]);
+        int32_t  axis_aux = static_cast<int32_t>(paramsDim) + m_Param.m_Axis;
+        axis = static_cast<unsigned int> (axis_aux);
     }
-    for (unsigned int i = 1; i < paramsDim; ++i)
+
+    for (unsigned int i = 0; i < axis; ++i)
+    {
+        dimSizes.push_back(params.GetShape()[i]);
+    }
+    for (unsigned int i = axis; i < indicesDim + axis; ++i)
+    {
+        dimSizes.push_back(indices.GetShape()[i - axis]);
+    }
+    for (unsigned int i = 1 + axis; i < paramsDim; ++i)
     {
         dimSizes.push_back(params.GetShape()[i]);
     }
@@ -63,7 +74,7 @@
 
 void GatherLayer::Accept(ILayerVisitor& visitor) const
 {
-    visitor.VisitGatherLayer(this, GetName());
+    visitor.VisitGatherLayer(this, GetParameters(), GetName());
 }
 
 } // namespace armnn
diff --git a/src/armnn/layers/GatherLayer.hpp b/src/armnn/layers/GatherLayer.hpp
index 598ca44..d8737ad 100644
--- a/src/armnn/layers/GatherLayer.hpp
+++ b/src/armnn/layers/GatherLayer.hpp
@@ -1,17 +1,17 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
 #pragma once
 
-#include "Layer.hpp"
+#include "LayerWithParameters.hpp"
 
 namespace armnn
 {
 
 /// This layer represents a Gather operator.
-class GatherLayer : public Layer
+class GatherLayer : public LayerWithParameters<GatherDescriptor>
 {
 public:
     /// Makes a workload for the Gather type.
@@ -24,7 +24,7 @@
     /// @param [in] graph The graph into which this layer is being cloned.
     GatherLayer* Clone(Graph& graph) const override;
 
-    /// Check if the input tensor shape(s)
+    /// Check if the input tensor shape(s).
     /// will lead to a valid configuration of @ref GatherLayer.
     /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validate.
     void ValidateTensorShapesFromInputs(
@@ -34,8 +34,9 @@
 
 protected:
     /// Constructor to create a GatherLayer.
+    /// @param [in] param GatherDescriptor to configure the stack operation.
     /// @param [in] name Optional name for the layer.
-    GatherLayer(const char* name);
+    GatherLayer(const GatherDescriptor& param, const char* name);
 
     /// Default destructor
     ~GatherLayer() = default;
diff --git a/src/armnn/test/OptimizerTests.cpp b/src/armnn/test/OptimizerTests.cpp
index 65ea91d..3af50ec 100644
--- a/src/armnn/test/OptimizerTests.cpp
+++ b/src/armnn/test/OptimizerTests.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -458,7 +458,8 @@
     Layer* input1 = graph.AddLayer<InputLayer>(1, "indices");
     input1->GetOutputSlot().SetTensorInfo(indicesInfo);
 
-    GatherLayer* layer = graph.AddLayer<GatherLayer>("gather");
+    GatherDescriptor descriptor;
+    GatherLayer* layer = graph.AddLayer<GatherLayer>(descriptor, "gather");
     layer->GetOutputSlot().SetTensorInfo(outputInfo);
 
     Layer* output = graph.AddLayer<OutputLayer>(0, "output");
diff --git a/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp b/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp
index e07e497..6ab9f9e 100644
--- a/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp
+++ b/src/armnn/test/TestNameAndDescriptorLayerVisitor.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #include "TestNameAndDescriptorLayerVisitor.hpp"
@@ -98,6 +98,12 @@
 }
 
 template<>
+armnn::GatherDescriptor GetDescriptor<armnn::GatherDescriptor>()
+{
+    return armnn::GatherDescriptor();
+}
+
+template<>
 armnn::InstanceNormalizationDescriptor GetDescriptor<armnn::InstanceNormalizationDescriptor>()
 {
     armnn::InstanceNormalizationDescriptor descriptor;
@@ -271,6 +277,7 @@
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(Concat)
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(ElementwiseUnary)
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(Fill)
+TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(Gather)
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(InstanceNormalization)
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(L2Normalization)
 TEST_SUITE_NAME_AND_DESCRIPTOR_LAYER_VISITOR(LogSoftmax)
diff --git a/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp b/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp
index c8df505..df0e055 100644
--- a/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp
+++ b/src/armnn/test/TestNameAndDescriptorLayerVisitor.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -50,6 +50,7 @@
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(DepthToSpace)
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(ElementwiseUnary)
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Fill)
+DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(Gather)
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(InstanceNormalization)
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(L2Normalization)
 DECLARE_TEST_NAME_AND_DESCRIPTOR_LAYER_VISITOR_CLASS(LogSoftmax)
diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.cpp b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
index 0653b39..945afa8 100644
--- a/src/armnn/test/TestNameOnlyLayerVisitor.cpp
+++ b/src/armnn/test/TestNameOnlyLayerVisitor.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -42,7 +42,6 @@
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Dequantize)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Division)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Floor)
-TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Gather)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Maximum)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Merge)
 TEST_SUITE_NAME_ONLY_LAYER_VISITOR(Minimum)
diff --git a/src/armnn/test/TestNameOnlyLayerVisitor.hpp b/src/armnn/test/TestNameOnlyLayerVisitor.hpp
index 84dfdd6..0e1ea8e 100644
--- a/src/armnn/test/TestNameOnlyLayerVisitor.hpp
+++ b/src/armnn/test/TestNameOnlyLayerVisitor.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -29,7 +29,6 @@
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Dequantize)
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Division)
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Floor)
-DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Gather)
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Maximum)
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Merge)
 DECLARE_TEST_NAME_ONLY_LAYER_VISITOR_CLASS(Minimum)
diff --git a/src/armnnDeserializer/Deserializer.cpp b/src/armnnDeserializer/Deserializer.cpp
index f59c757..31fae2a 100644
--- a/src/armnnDeserializer/Deserializer.cpp
+++ b/src/armnnDeserializer/Deserializer.cpp
@@ -2427,8 +2427,11 @@
     Deserializer::TensorRawPtrVector outputs = GetOutputs(graph, layerIndex);
     CHECK_VALID_SIZE(outputs.size(), 1);
 
+    armnn::GatherDescriptor descriptor;
+    descriptor.m_Axis = graph->layers()->Get(layerIndex)->layer_as_GatherLayer()->descriptor()->axis();
+
     auto layerName = GetLayerName(graph, layerIndex);
-    IConnectableLayer* layer = m_Network->AddGatherLayer(layerName.c_str());
+    IConnectableLayer* layer = m_Network->AddGatherLayer(descriptor, layerName.c_str());
 
     armnn::TensorInfo outputTensorInfo = ToTensorInfo(outputs[0]);
     layer->GetOutputSlot(0).SetTensorInfo(outputTensorInfo);
diff --git a/src/armnnDeserializer/test/DeserializeGather.cpp b/src/armnnDeserializer/test/DeserializeGather.cpp
index 3fdcf51..0f75db4 100644
--- a/src/armnnDeserializer/test/DeserializeGather.cpp
+++ b/src/armnnDeserializer/test/DeserializeGather.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -14,10 +14,11 @@
 
 struct GatherFixture : public ParserFlatbuffersSerializeFixture
 {
-    explicit GatherFixture(const std::string &inputShape,
-                           const std::string &indicesShape,
-                           const std::string &input1Content,
-                           const std::string &outputShape,
+    explicit GatherFixture(const std::string& inputShape,
+                           const std::string& indicesShape,
+                           const std::string& input1Content,
+                           const std::string& outputShape,
+                           const std::string& axis,
                            const std::string dataType,
                            const std::string constDataType)
     {
@@ -94,7 +95,10 @@
                                                dimensions: )" + outputShape + R"(,
                                                dataType: )" + dataType + R"(
 
-                                   }}]}
+                                   }}]},
+                                   descriptor: {
+                                       axis: )" + axis + R"(
+                                   }
                         }},
                     {
                     layer_type: "OutputLayer",
@@ -127,7 +131,7 @@
 struct SimpleGatherFixtureFloat32 : GatherFixture
 {
     SimpleGatherFixtureFloat32() : GatherFixture("[ 3, 2, 3 ]", "[ 2, 3 ]", "[1, 2, 1, 2, 1, 0]",
-                                                 "[ 2, 3, 2, 3 ]", "Float32", "IntData") {}
+                                                 "[ 2, 3, 2, 3 ]", "0", "Float32", "IntData") {}
 };
 
 BOOST_FIXTURE_TEST_CASE(GatherFloat32, SimpleGatherFixtureFloat32)
diff --git a/src/armnnSerializer/ArmnnSchema.fbs b/src/armnnSerializer/ArmnnSchema.fbs
index 18415ce..6a388db 100644
--- a/src/armnnSerializer/ArmnnSchema.fbs
+++ b/src/armnnSerializer/ArmnnSchema.fbs
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -312,6 +312,11 @@
 
 table GatherLayer {
     base:LayerBase;
+    descriptor:GatherDescriptor;
+}
+
+table GatherDescriptor {
+    axis:int = 0;
 }
 
 /// @deprecated Use ComparisonLayer instead
diff --git a/src/armnnSerializer/Serializer.cpp b/src/armnnSerializer/Serializer.cpp
index 17076c6..6555a34 100644
--- a/src/armnnSerializer/Serializer.cpp
+++ b/src/armnnSerializer/Serializer.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -493,12 +493,23 @@
     CreateAnyLayer(flatBufferFloorLayer.o, serializer::Layer::Layer_FloorLayer);
 }
 
-void SerializerVisitor::VisitGatherLayer(const armnn::IConnectableLayer* layer, const char* name)
+void SerializerVisitor::VisitGatherLayer(const armnn::IConnectableLayer* layer,
+                                         const char* name)
+{
+    armnn::GatherDescriptor gatherDescriptor{};
+    VisitGatherLayer(layer, gatherDescriptor, name);
+}
+
+void SerializerVisitor::VisitGatherLayer(const armnn::IConnectableLayer* layer,
+                                         const armnn::GatherDescriptor& gatherDescriptor,
+                                         const char* name)
 {
     IgnoreUnused(name);
 
+    auto fbGatherDescriptor = CreateGatherDescriptor(m_flatBufferBuilder,
+                                                     gatherDescriptor.m_Axis);
     auto fbGatherBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Gather);
-    auto flatBufferLayer   = serializer::CreateGatherLayer(m_flatBufferBuilder, fbGatherBaseLayer);
+    auto flatBufferLayer   = serializer::CreateGatherLayer(m_flatBufferBuilder, fbGatherBaseLayer, fbGatherDescriptor);
 
     CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_GatherLayer);
 }
diff --git a/src/armnnSerializer/Serializer.hpp b/src/armnnSerializer/Serializer.hpp
index 65d87b7..e4104dd 100644
--- a/src/armnnSerializer/Serializer.hpp
+++ b/src/armnnSerializer/Serializer.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -134,9 +134,14 @@
                                   const armnn::Optional<armnn::ConstTensor>& biases,
                                   const char* name = nullptr) override;
 
+    ARMNN_DEPRECATED_MSG("Use VisitGatherLayer with descriptor instead")
     void VisitGatherLayer(const armnn::IConnectableLayer* layer,
                           const char* name = nullptr) override;
 
+    void VisitGatherLayer(const armnn::IConnectableLayer* layer,
+                          const armnn::GatherDescriptor& gatherDescriptor,
+                          const char* name = nullptr) override;
+
     ARMNN_DEPRECATED_MSG("Use VisitComparisonLayer instead")
     void VisitGreaterLayer(const armnn::IConnectableLayer* layer,
                            const char* name = nullptr) override;
diff --git a/src/armnnSerializer/test/SerializerTests.cpp b/src/armnnSerializer/test/SerializerTests.cpp
index fa43e09..088282a 100644
--- a/src/armnnSerializer/test/SerializerTests.cpp
+++ b/src/armnnSerializer/test/SerializerTests.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -1333,17 +1333,22 @@
 
 BOOST_AUTO_TEST_CASE(SerializeGather)
 {
-    class GatherLayerVerifier : public LayerVerifierBase
+    using GatherDescriptor = armnn::GatherDescriptor;
+    class GatherLayerVerifier : public LayerVerifierBaseWithDescriptor<GatherDescriptor>
     {
     public:
         GatherLayerVerifier(const std::string& layerName,
                             const std::vector<armnn::TensorInfo>& inputInfos,
-                            const std::vector<armnn::TensorInfo>& outputInfos)
-            : LayerVerifierBase(layerName, inputInfos, outputInfos) {}
+                            const std::vector<armnn::TensorInfo>& outputInfos,
+                            const GatherDescriptor& descriptor)
+            : LayerVerifierBaseWithDescriptor<GatherDescriptor>(layerName, inputInfos, outputInfos, descriptor) {}
 
-        void VisitGatherLayer(const armnn::IConnectableLayer* layer, const char *name) override
+        void VisitGatherLayer(const armnn::IConnectableLayer* layer,
+                              const GatherDescriptor& descriptor,
+                              const char *name) override
         {
             VerifyNameAndConnections(layer, name);
+            BOOST_CHECK(descriptor.m_Axis == m_Descriptor.m_Axis);
         }
 
         void VisitConstantLayer(const armnn::IConnectableLayer*,
@@ -1355,6 +1360,8 @@
     armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::QAsymmU8);
     armnn::TensorInfo outputInfo({ 3 }, armnn::DataType::QAsymmU8);
     const armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
+    GatherDescriptor descriptor;
+    descriptor.m_Axis = 1;
 
     paramsInfo.SetQuantizationScale(1.0f);
     paramsInfo.SetQuantizationOffset(0);
@@ -1367,7 +1374,7 @@
     armnn::IConnectableLayer *const inputLayer = network->AddInputLayer(0);
     armnn::IConnectableLayer *const constantLayer =
             network->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData));
-    armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(layerName.c_str());
+    armnn::IConnectableLayer *const gatherLayer = network->AddGatherLayer(descriptor, layerName.c_str());
     armnn::IConnectableLayer *const outputLayer = network->AddOutputLayer(0);
 
     inputLayer->GetOutputSlot(0).Connect(gatherLayer->GetInputSlot(0));
@@ -1381,7 +1388,7 @@
     armnn::INetworkPtr deserializedNetwork = DeserializeNetwork(SerializeNetwork(*network));
     BOOST_CHECK(deserializedNetwork);
 
-    GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo});
+    GatherLayerVerifier verifier(layerName, {paramsInfo, indicesInfo}, {outputInfo}, descriptor);
     deserializedNetwork->Accept(verifier);
 }
 
diff --git a/src/armnnTfParser/TfParser.cpp b/src/armnnTfParser/TfParser.cpp
index 7a7c5a4..38202fc 100755
--- a/src/armnnTfParser/TfParser.cpp
+++ b/src/armnnTfParser/TfParser.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -1853,6 +1853,8 @@
     std::vector<OutputOfParsedTfOperation> inputs = GetInputParsedTfOperationsChecked(nodeDef, 2);
     IOutputSlot& params = inputs[0].m_IndexedValue->ResolveArmnnOutputSlot(inputs[0].m_Index);
     IOutputSlot& indices = inputs[1].m_IndexedValue->ResolveArmnnOutputSlot(inputs[1].m_Index);
+    GatherDescriptor descriptor;
+    descriptor.m_Axis = ReadMandatoryNodeInt32Attribute(nodeDef, "axis");
 
     // Infer shape of output tensor
     unsigned int paramsDim = params.GetTensorInfo().GetNumDimensions();
@@ -1874,7 +1876,7 @@
 
     const TensorInfo inferredOutputInfo(inferredShape, params.GetTensorInfo().GetDataType());
 
-    IConnectableLayer* const layer = m_Network->AddGatherLayer(nodeDef.name().c_str());
+    IConnectableLayer* const layer = m_Network->AddGatherLayer(descriptor, nodeDef.name().c_str());
     layer->GetOutputSlot(0).SetTensorInfo(inferredOutputInfo);
 
     params.Connect(layer->GetInputSlot(0));
diff --git a/src/armnnTfParser/test/Gather.cpp b/src/armnnTfParser/test/Gather.cpp
index 8c4b891..ab5fb71 100644
--- a/src/armnnTfParser/test/Gather.cpp
+++ b/src/armnnTfParser/test/Gather.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -38,7 +38,8 @@
                   const armnn::TensorShape& inputShape1,
                   const std::vector<int>& input1Content,
                   const std::vector<int>& input0Dims,
-                  const std::vector<int>& input1Dims)
+                  const std::vector<int>& input1Dims,
+                  int axis = 0)
     {
         m_Prototext = R"(
 node {
@@ -56,6 +57,7 @@
       shape {
 )";
         dimsHelper(input0Dims, m_Prototext);
+
         m_Prototext.append(R"(
       }
     }
@@ -78,6 +80,7 @@
         tensor_shape {
 )");
         dimsHelper(input1Dims, m_Prototext);
+
         m_Prototext.append(R"(
         }
         tensor_content: ")");
@@ -104,8 +107,18 @@
       type: DT_FLOAT
     }
   }
+  attr {
+    key: "axis"
+    value {
+      i:  )");
+        m_Prototext += std::to_string(axis);
+
+        m_Prototext.append(R"(
+    }
+  }
 }
         )");
+
         Setup({ { "input0", inputShape0 },
                 { "input1", inputShape1 } },
               { "output" });
@@ -121,7 +134,8 @@
             { 4, 0, 0, 0 },
             { 0, 2, 1, 3 },
             { 4 },
-            { 4 }) {}
+            { 4 },
+            0) {}
 };
 
 struct GatherFixture1DParamsMultiDimIndices : public GatherFixture
@@ -131,7 +145,8 @@
             { 2, 2, 1, 1 },
             { 0, 1, 1, 3 },
             { 4 },
-            { 2, 2 }) {}
+            { 2, 2 },
+            0) {}
 };
 
 struct GatherFixtureMultiDimParamMultiDimIndices : public GatherFixture
@@ -141,7 +156,8 @@
             { 2, 1, 4 },
             { 1, 3, 0, 2 },
             { 5, 2 },
-            { 2, 2 }) {}
+            { 2, 2 },
+            0) {}
 };
 
 BOOST_FIXTURE_TEST_CASE(ParseGather1DParams1DIndices, GatherFixture1DParams1DIndices)
diff --git a/src/backends/backendsCommon/LayerSupportBase.cpp b/src/backends/backendsCommon/LayerSupportBase.cpp
index e509a7b..52e615a 100644
--- a/src/backends/backendsCommon/LayerSupportBase.cpp
+++ b/src/backends/backendsCommon/LayerSupportBase.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -37,177 +37,177 @@
 namespace armnn
 {
 
-bool LayerSupportBase::IsAbsSupported(const TensorInfo& /*input*/,
-                                      const TensorInfo& /*output*/,
+bool LayerSupportBase::IsAbsSupported(const TensorInfo&, // input
+                                      const TensorInfo&, // output
                                       Optional<std::string &> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsActivationSupported(const TensorInfo& /*input*/,
-                                             const TensorInfo& /*output*/,
-                                             const ActivationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsActivationSupported(const TensorInfo&, // input
+                                             const TensorInfo&, //output
+                                             const ActivationDescriptor&, // descriptor
                                              Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsAdditionSupported(const TensorInfo& /*input0*/,
-                                           const TensorInfo& /*input1*/,
-                                           const TensorInfo& /*output*/,
+bool LayerSupportBase::IsAdditionSupported(const TensorInfo&, // input0
+                                           const TensorInfo&, // input1
+                                           const TensorInfo&, // output
                                            Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsArgMinMaxSupported(const armnn::TensorInfo &/*input*/,
-                                            const armnn::TensorInfo &/*output*/,
-                                            const armnn::ArgMinMaxDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsArgMinMaxSupported(const armnn::TensorInfo&, // input
+                                            const armnn::TensorInfo&, // output
+                                            const armnn::ArgMinMaxDescriptor&, // descriptor
                                             armnn::Optional<std::string &> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsBatchNormalizationSupported(const TensorInfo& /*input*/,
-                                                     const TensorInfo& /*output*/,
-                                                     const TensorInfo& /*mean*/,
-                                                     const TensorInfo& /*var*/,
-                                                     const TensorInfo& /*beta*/,
-                                                     const TensorInfo& /*gamma*/,
-                                                     const BatchNormalizationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsBatchNormalizationSupported(const TensorInfo&, //input
+                                                     const TensorInfo&, // output
+                                                     const TensorInfo&, //mean
+                                                     const TensorInfo&, //var
+                                                     const TensorInfo&, //beta
+                                                     const TensorInfo&, //gamma
+                                                     const BatchNormalizationDescriptor&, // descriptor
                                                      Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo& /*input*/,
-                                                 const TensorInfo& /*output*/,
-                                                 const BatchToSpaceNdDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsBatchToSpaceNdSupported(const TensorInfo&, // input
+                                                 const TensorInfo&, // output
+                                                 const BatchToSpaceNdDescriptor&, //descriptor
                                                  Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsComparisonSupported(const TensorInfo& /*input0*/,
-                                             const TensorInfo& /*input1*/,
-                                             const TensorInfo& /*output*/,
-                                             const ComparisonDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsComparisonSupported(const TensorInfo&, // input0
+                                             const TensorInfo&, // input1
+                                             const TensorInfo&, // output
+                                             const ComparisonDescriptor&, // descriptor
                                              Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConcatSupported(const std::vector<const TensorInfo*> /*inputs*/,
-                                         const TensorInfo& /*output*/,
-                                         const OriginsDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsConcatSupported(const std::vector<const TensorInfo*>, // inputs
+                                         const TensorInfo&, // output
+                                         const OriginsDescriptor&, // descriptor
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConstantSupported(const TensorInfo& /*output*/,
+bool LayerSupportBase::IsConstantSupported(const TensorInfo&, // output
                                            Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConvertBf16ToFp32Supported(const TensorInfo& /*input*/,
-                                                    const TensorInfo& /*output*/,
+bool LayerSupportBase::IsConvertBf16ToFp32Supported(const TensorInfo&, // input
+                                                    const TensorInfo&, // output
                                                     Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo& /*input*/,
-                                                    const TensorInfo& /*output*/,
+bool LayerSupportBase::IsConvertFp16ToFp32Supported(const TensorInfo&, // input
+                                                    const TensorInfo&, // output
                                                     Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConvertFp32ToBf16Supported(const TensorInfo& /*input*/,
-                                                    const TensorInfo& /*output*/,
+bool LayerSupportBase::IsConvertFp32ToBf16Supported(const TensorInfo&, // input
+                                                    const TensorInfo&, // output
                                                     Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
 
-bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo& /*input*/,
-                                                    const TensorInfo& /*output*/,
+bool LayerSupportBase::IsConvertFp32ToFp16Supported(const TensorInfo&, // input
+                                                    const TensorInfo&, // output
                                                     Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo& /*input*/,
-                                                const TensorInfo& /*output*/,
-                                                const Convolution2dDescriptor& /*descriptor*/,
-                                                const TensorInfo& /*weights*/,
-                                                const Optional<TensorInfo>& /*biases*/,
+bool LayerSupportBase::IsConvolution2dSupported(const TensorInfo&, // input
+                                                const TensorInfo&, // output
+                                                const Convolution2dDescriptor&, // descriptor
+                                                const TensorInfo&, // weights
+                                                const Optional<TensorInfo>&, // biases
                                                 Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDebugSupported(const TensorInfo& /*input*/,
-                                        const TensorInfo& /*output*/,
+bool LayerSupportBase::IsDebugSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // output
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo& /*input*/,
-                                               const TensorInfo& /*output*/,
-                                               const DepthToSpaceDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsDepthToSpaceSupported(const TensorInfo&, // input
+                                               const TensorInfo&, // output
+                                               const DepthToSpaceDescriptor&, // descriptor
                                                Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo& /*input*/,
-                                                       const TensorInfo& /*output*/,
-                                                       const DepthwiseConvolution2dDescriptor& /*descriptor*/,
-                                                       const TensorInfo& /*weights*/,
-                                                       const Optional<TensorInfo>& /*biases*/,
+bool LayerSupportBase::IsDepthwiseConvolutionSupported(const TensorInfo&, //input
+                                                       const TensorInfo&, //output
+                                                       const DepthwiseConvolution2dDescriptor&, // descriptor
+                                                       const TensorInfo&, // weights
+                                                       const Optional<TensorInfo>&, // biases
                                                        Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDequantizeSupported(const TensorInfo& /*input*/,
-                                             const TensorInfo& /*output*/,
+bool LayerSupportBase::IsDequantizeSupported(const TensorInfo&, // input
+                                             const TensorInfo&, // output
                                              Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDetectionPostProcessSupported(const TensorInfo& /*boxEncodings*/,
-                                                       const TensorInfo& /*scores*/,
-                                                       const TensorInfo& /*anchors*/,
-                                                       const TensorInfo& /*detectionBoxes*/,
-                                                       const TensorInfo& /*detectionClasses*/,
-                                                       const TensorInfo& /*detectionScores*/,
-                                                       const TensorInfo& /*numDetections*/,
-                                                       const DetectionPostProcessDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsDetectionPostProcessSupported(const TensorInfo&, // boxEncodings
+                                                       const TensorInfo&, // scores
+                                                       const TensorInfo&, // anchors
+                                                       const TensorInfo&, // detectionBoxes
+                                                       const TensorInfo&, // detectionClasses
+                                                       const TensorInfo&, // detectionScores
+                                                       const TensorInfo&, // numDetections
+                                                       const DetectionPostProcessDescriptor&, //descriptor
                                                        Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& /*input*/,
-                                                              const TensorInfo& /*output*/,
-                                                              const DepthwiseConvolution2dDescriptor& /*descriptor*/,
-                                                              const TensorInfo& /*weights*/,
-                                                              const Optional<TensorInfo>& /*biases*/,
+bool LayerSupportBase::IsDilatedDepthwiseConvolutionSupported(const TensorInfo&, // input
+                                                              const TensorInfo&, // output
+                                                              const DepthwiseConvolution2dDescriptor&, // descriptor
+                                                              const TensorInfo&,// weights
+                                                              const Optional<TensorInfo>&, // biases
                                                               Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsDivisionSupported(const TensorInfo& /*input0*/,
-                                           const TensorInfo& /*input1*/,
-                                           const TensorInfo& /*output*/,
+bool LayerSupportBase::IsDivisionSupported(const TensorInfo&, // input0
+                                           const TensorInfo&, // input1
+                                           const TensorInfo&, // output
                                            Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
@@ -233,139 +233,148 @@
     return false;
 }
 
-bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo& /*input0*/,
-                                        const armnn::TensorInfo& /*input1*/,
-                                        const armnn::TensorInfo& /*output*/,
+bool LayerSupportBase::IsEqualSupported(const armnn::TensorInfo&, // input0
+                                        const armnn::TensorInfo&, // input1
+                                        const armnn::TensorInfo&, // output
                                         armnn::Optional<std::string &> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo& /*input*/,
-                                                   const FakeQuantizationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsFakeQuantizationSupported(const TensorInfo&, // input
+                                                   const FakeQuantizationDescriptor&, // descriptor
                                                    Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsFillSupported(const TensorInfo& /*input*/,
-                                       const TensorInfo& /*output*/,
-                                       const FillDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsFillSupported(const TensorInfo&, // input
+                                       const TensorInfo&, // output
+                                       const FillDescriptor&, // descriptor
                                        Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsFloorSupported(const TensorInfo& /*input*/,
-                                        const TensorInfo& /*output*/,
+bool LayerSupportBase::IsFloorSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // output
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo& /*input*/,
-                                                 const TensorInfo& /*output*/,
-                                                 const TensorInfo& /*weights*/,
-                                                 const TensorInfo& /*biases*/,
-                                                 const FullyConnectedDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsFullyConnectedSupported(const TensorInfo&, // input
+                                                 const TensorInfo&, // output
+                                                 const TensorInfo&, // weights
+                                                 const TensorInfo&, // biases
+                                                 const FullyConnectedDescriptor&, // descriptor
                                                  Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo& /*input0*/,
-                                         const armnn::TensorInfo& /*input1*/,
-                                         const armnn::TensorInfo& /*output*/,
+bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo&, // input0
+                                         const armnn::TensorInfo&, // input1
+                                         const armnn::TensorInfo&, // output
                                          armnn::Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsGreaterSupported(const TensorInfo& /*input0*/,
-                                          const TensorInfo& /*input1*/,
-                                          const TensorInfo& /*output*/,
+bool LayerSupportBase::IsGatherSupported(const armnn::TensorInfo&, // input0
+                                         const armnn::TensorInfo&, // input1
+                                         const armnn::TensorInfo&, // output
+                                         const GatherDescriptor&, // descriptor
+                                         armnn::Optional<std::string&> reasonIfUnsupported) const
+{
+    return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
+}
+
+bool LayerSupportBase::IsGreaterSupported(const TensorInfo&, // input0
+                                          const TensorInfo&, // input1
+                                          const TensorInfo&, // output
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsInputSupported(const TensorInfo& /*input*/,
+bool LayerSupportBase::IsInputSupported(const TensorInfo&, // input
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo& /*input*/,
-                                                        const TensorInfo& /*output*/,
-                                                        const InstanceNormalizationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsInstanceNormalizationSupported(const TensorInfo&, // input
+                                                        const TensorInfo&, // output
+                                                        const InstanceNormalizationDescriptor&, // descriptor
                                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo& /*input*/,
-                                                  const TensorInfo& /*output*/,
-                                                  const L2NormalizationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsL2NormalizationSupported(const TensorInfo&, // input
+                                                  const TensorInfo&, // output                        
+                                                  const L2NormalizationDescriptor&, // descriptor
                                                   Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsLogSoftmaxSupported(const TensorInfo& /*input*/,
-                                             const TensorInfo& /*output*/,
-                                             const LogSoftmaxDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsLogSoftmaxSupported(const TensorInfo&, // input
+                                             const TensorInfo&, // output
+                                             const LogSoftmaxDescriptor&, // descriptor
                                              Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsLstmSupported(const TensorInfo& /*input*/,
-                                       const TensorInfo& /*outputStateIn*/,
-                                       const TensorInfo& /*cellStateIn*/,
-                                       const TensorInfo& /*scratchBuffer*/,
-                                       const TensorInfo& /*outputStateOut*/,
-                                       const TensorInfo& /*cellStateOut*/,
-                                       const TensorInfo& /*output*/,
-                                       const LstmDescriptor& /*descriptor*/,
-                                       const LstmInputParamsInfo& /*paramsInfo*/,
+bool LayerSupportBase::IsLstmSupported(const TensorInfo&, // input
+                                       const TensorInfo&, // outputStateIn
+                                       const TensorInfo&, // cellStateIn
+                                       const TensorInfo&, // scratchBuffer
+                                       const TensorInfo&, // outputStateOut
+                                       const TensorInfo&, // cellStateOut
+                                       const TensorInfo&, // output
+                                       const LstmDescriptor&, // descriptor
+                                       const LstmInputParamsInfo&, // paramsInfo
                                        Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsMaximumSupported(const TensorInfo& /*input0*/,
-                                          const TensorInfo& /*input1*/,
-                                          const TensorInfo& /*output*/,
+bool LayerSupportBase::IsMaximumSupported(const TensorInfo&, // input0
+                                          const TensorInfo&, // input1
+                                          const TensorInfo&, // output
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsMeanSupported(const TensorInfo& /*input*/,
-                                       const TensorInfo& /*output*/,
-                                       const MeanDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsMeanSupported(const TensorInfo&, // input
+                                       const TensorInfo&, // output
+                                       const MeanDescriptor&, // descriptor
                                        Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo& /*input*/,
-                                          const armnn::TensorInfo& /*output*/,
-                                          armnn::Optional<std::string &> /*reasonIfUnsupported*/) const
+bool LayerSupportBase::IsMemCopySupported(const armnn::TensorInfo&, // input
+                                          const armnn::TensorInfo&, // output
+                                          armnn::Optional<std::string &> ) const // reasonIfUnsupported
 {
     return true;
 }
 
-bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo& /*input*/,
-                                            const armnn::TensorInfo& /*output*/,
-                                            armnn::Optional<std::string &> /*reasonIfUnsupported*/) const
+bool LayerSupportBase::IsMemImportSupported(const armnn::TensorInfo&, // input
+                                            const armnn::TensorInfo&, // output
+                                            armnn::Optional<std::string &> ) const // reasonIfUnsupported
 {
     return true;
 }
 
-bool LayerSupportBase::IsMergeSupported(const TensorInfo& /*input0*/,
-                                        const TensorInfo& /*input1*/,
-                                        const TensorInfo& /*output*/,
+bool LayerSupportBase::IsMergeSupported(const TensorInfo&, // input0
+                                        const TensorInfo&, // input1
+                                        const TensorInfo&, // output
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
@@ -379,194 +388,194 @@
     return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsMinimumSupported(const TensorInfo& /*input0*/,
-                                          const TensorInfo& /*input1*/,
-                                          const TensorInfo& /*output*/,
+bool LayerSupportBase::IsMinimumSupported(const TensorInfo&, // input0
+                                          const TensorInfo&, // input1
+                                          const TensorInfo&, // output
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo& /*input0*/,
-                                                 const TensorInfo& /*input1*/,
-                                                 const TensorInfo& /*output*/,
+bool LayerSupportBase::IsMultiplicationSupported(const TensorInfo&, // input0
+                                                 const TensorInfo&, // input1
+                                                 const TensorInfo&, // output
                                                  Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsNormalizationSupported(const TensorInfo& /*input*/,
-                                                const TensorInfo& /*output*/,
-                                                const NormalizationDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsNormalizationSupported(const TensorInfo&, // input
+                                                const TensorInfo&, // output
+                                                const NormalizationDescriptor&, // descriptor
                                                 Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsOutputSupported(const TensorInfo& /*output*/,
+bool LayerSupportBase::IsOutputSupported(const TensorInfo&, // output
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsPadSupported(const TensorInfo& /*input*/,
-                                      const TensorInfo& /*output*/,
-                                      const PadDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsPadSupported(const TensorInfo&, // input
+                                      const TensorInfo&, // output
+                                      const PadDescriptor&, // descriptor
                                       Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsPermuteSupported(const TensorInfo& /*input*/,
-                                          const TensorInfo& /*output*/,
-                                          const PermuteDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsPermuteSupported(const TensorInfo&, // input
+                                          const TensorInfo&, // output
+                                          const PermuteDescriptor&, // descriptor
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsPooling2dSupported(const TensorInfo& /*input*/,
-                                            const TensorInfo& /*output*/,
-                                            const Pooling2dDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsPooling2dSupported(const TensorInfo&, // input
+                                            const TensorInfo&, // output
+                                            const Pooling2dDescriptor&, // descriptor
                                             Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsPreCompiledSupported(const TensorInfo& /*input*/,
-                                              const PreCompiledDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsPreCompiledSupported(const TensorInfo&, // input
+                                              const PreCompiledDescriptor&, // descriptor
                                               Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsPreluSupported(const TensorInfo& /*input*/,
-                                        const TensorInfo& /*alpha*/,
-                                        const TensorInfo& /*output*/,
+bool LayerSupportBase::IsPreluSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // alpha
+                                        const TensorInfo&, // output
                                         Optional<std::string &> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsQuantizeSupported(const armnn::TensorInfo& /*input*/,
-                                           const armnn::TensorInfo& /*output*/,
+bool LayerSupportBase::IsQuantizeSupported(const armnn::TensorInfo&, // input
+                                           const armnn::TensorInfo&, // output
                                            armnn::Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsQLstmSupported(const TensorInfo& /*input*/,
-                                        const TensorInfo& /*previousOutputIn*/,
-                                        const TensorInfo& /*previousCellStateIn*/,
-                                        const TensorInfo& /*outputStateOut*/,
-                                        const TensorInfo& /*cellStateOut*/,
-                                        const TensorInfo& /*output*/,
-                                        const QLstmDescriptor& /*descriptor*/,
-                                        const LstmInputParamsInfo& /*paramsInfo*/,
+bool LayerSupportBase::IsQLstmSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // previousOutputIn
+                                        const TensorInfo&, // previousCellStateIn
+                                        const TensorInfo&, // outputStateOut
+                                        const TensorInfo&, // cellStateOut
+                                        const TensorInfo&, // output
+                                        const QLstmDescriptor&, // descriptor
+                                        const LstmInputParamsInfo&, // paramsInfo
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsQuantizedLstmSupported(const TensorInfo& /*input*/,
-                                                const TensorInfo& /*previousCellStateIn*/,
-                                                const TensorInfo& /*previousOutputIn*/,
-                                                const TensorInfo& /*cellStateOut*/,
-                                                const TensorInfo& /*output*/,
-                                                const QuantizedLstmInputParamsInfo& /*paramsInfo*/,
+bool LayerSupportBase::IsQuantizedLstmSupported(const TensorInfo&, // input
+                                                const TensorInfo&, // previousCellStateIn
+                                                const TensorInfo&, // previousOutputIn
+                                                const TensorInfo&, // cellStateOut
+                                                const TensorInfo&, // output
+                                                const QuantizedLstmInputParamsInfo&, // paramsInfo
                                                 Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsReshapeSupported(const TensorInfo& /*input*/,
-                                          const TensorInfo& /*output*/,
-                                          const ReshapeDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsReshapeSupported(const TensorInfo&, // input
+                                          const TensorInfo&, // output
+                                          const ReshapeDescriptor&, // descriptor
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo& /*input*/,
-                                                 const TensorInfo& /*output*/,
+bool LayerSupportBase::IsResizeBilinearSupported(const TensorInfo&, // input
+                                                 const TensorInfo&, // output
                                                  Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsResizeSupported(const TensorInfo& /*input*/,
-                                         const TensorInfo& /*output*/,
-                                         const ResizeDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsResizeSupported(const TensorInfo&, // input
+                                         const TensorInfo&, // output
+                                         const ResizeDescriptor&, // descriptor
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsRsqrtSupported(const TensorInfo &/*input*/,
-                                        const TensorInfo &/*output*/,
+bool LayerSupportBase::IsRsqrtSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // output
                                         Optional<std::string &> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSliceSupported(const TensorInfo& /*input*/,
-                                        const TensorInfo& /*output*/,
-                                        const SliceDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSliceSupported(const TensorInfo&, // input
+                                        const TensorInfo&, // output
+                                        const SliceDescriptor&, // descriptor
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo& /*input*/,
-                                          const TensorInfo& /*output*/,
-                                          const SoftmaxDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSoftmaxSupported(const TensorInfo&, // input
+                                          const TensorInfo&, // output
+                                          const SoftmaxDescriptor&, // descriptor
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 /**/
-bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo& /*input*/,
-                                                 const TensorInfo& /*output*/,
-                                                 const SpaceToBatchNdDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSpaceToBatchNdSupported(const TensorInfo&, // input
+                                                 const TensorInfo&, // output
+                                                 const SpaceToBatchNdDescriptor&, // descriptor
                                                  Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSpaceToDepthSupported(const TensorInfo& /*input*/,
-                                               const TensorInfo& /*output*/,
-                                               const SpaceToDepthDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSpaceToDepthSupported(const TensorInfo&, // input
+                                               const TensorInfo&, // output
+                                               const SpaceToDepthDescriptor&, // descriptor
                                                Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSplitterSupported(const TensorInfo& /*input*/,
-                                           const ViewsDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSplitterSupported(const TensorInfo&, // input
+                                           const ViewsDescriptor&, // descriptor
                                            Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSplitterSupported(const TensorInfo& /*input*/,
-                                           const std::vector<std::reference_wrapper<TensorInfo>>& /*outputs*/,
-                                           const ViewsDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsSplitterSupported(const TensorInfo&, // input
+                                           const std::vector<std::reference_wrapper<TensorInfo>>&, // outputs
+                                           const ViewsDescriptor&, // descriptor
                                            Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsStackSupported(const std::vector<const TensorInfo*>& /*inputs*/,
-                                        const TensorInfo& /*output*/,
-                                        const StackDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsStackSupported(const std::vector<const TensorInfo*>&, // inputs
+                                        const TensorInfo&, // output
+                                        const StackDescriptor&, // descriptor
                                         Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsStandInSupported(const std::vector<const TensorInfo*>& /*inputs*/,
-                                          const std::vector<const TensorInfo*>& /*outputs*/,
-                                          const StandInDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsStandInSupported(const std::vector<const TensorInfo*>&, // inputs
+                                          const std::vector<const TensorInfo*>&, // outputs
+                                          const StandInDescriptor&, // descriptor
                                           Optional<std::string&> reasonIfUnsupported) const
 {
     if (reasonIfUnsupported)
@@ -580,44 +589,44 @@
     return false;
 }
 
-bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo& /*input*/,
-                                               const TensorInfo& /*output*/,
-                                               const StridedSliceDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsStridedSliceSupported(const TensorInfo&, // input
+                                               const TensorInfo&, // output
+                                               const StridedSliceDescriptor&, // descriptor
                                                Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSubtractionSupported(const TensorInfo& /*input0*/,
-                                              const TensorInfo& /*input1*/,
-                                              const TensorInfo& /*output*/,
+bool LayerSupportBase::IsSubtractionSupported(const TensorInfo&, // input0
+                                              const TensorInfo&, // input1
+                                              const TensorInfo&, // output
                                               Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsSwitchSupported(const TensorInfo& /*input0*/,
-                                         const TensorInfo& /*input1*/,
-                                         const TensorInfo& /*output0*/,
-                                         const TensorInfo& /*output1*/,
+bool LayerSupportBase::IsSwitchSupported(const TensorInfo&, // input0
+                                         const TensorInfo&, // input1
+                                         const TensorInfo&, // output0
+                                         const TensorInfo&, // output1
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
 }
 
-bool LayerSupportBase::IsTransposeConvolution2dSupported(const TensorInfo& /*input*/,
-                                                         const TensorInfo& /*output*/,
-                                                         const TransposeConvolution2dDescriptor& /*descriptor*/,
-                                                         const TensorInfo& /*weights*/,
-                                                         const Optional<TensorInfo>& /*biases*/,
+bool LayerSupportBase::IsTransposeConvolution2dSupported(const TensorInfo&, // input
+                                                         const TensorInfo&, // output
+                                                         const TransposeConvolution2dDescriptor&, // descriptor
+                                                         const TensorInfo&, // weights
+                                                         const Optional<TensorInfo>&, // biases
                                                          Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
-}
+} 
 
-bool LayerSupportBase::IsTransposeSupported(const TensorInfo& /*input*/,
-                                            const TensorInfo& /*output*/,
-                                            const TransposeDescriptor& /*descriptor*/,
+bool LayerSupportBase::IsTransposeSupported(const TensorInfo&, // input 
+                                            const TensorInfo&, // output
+                                            const TransposeDescriptor&, // descriptor
                                             Optional<std::string&> reasonIfUnsupported) const
 {
     return DefaultLayerSupport(__func__, __FILE__, __LINE__, reasonIfUnsupported);
diff --git a/src/backends/backendsCommon/LayerSupportBase.hpp b/src/backends/backendsCommon/LayerSupportBase.hpp
index aff4529..8d5535a 100644
--- a/src/backends/backendsCommon/LayerSupportBase.hpp
+++ b/src/backends/backendsCommon/LayerSupportBase.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -159,11 +159,18 @@
                                    const FullyConnectedDescriptor& descriptor,
                                    Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    ARMNN_DEPRECATED_MSG("Use IsGatherSupported with descriptor instead")
     bool IsGatherSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
+    bool IsGatherSupported(const TensorInfo& input0,
+                           const TensorInfo& input1,
+                           const TensorInfo& output,
+                           const GatherDescriptor& descriptor,
+                           Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
     ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
     bool IsGreaterSupported(const TensorInfo& input0,
                             const TensorInfo& input1,
diff --git a/src/backends/backendsCommon/WorkloadData.hpp b/src/backends/backendsCommon/WorkloadData.hpp
index f2f7089..6b2c00e 100644
--- a/src/backends/backendsCommon/WorkloadData.hpp
+++ b/src/backends/backendsCommon/WorkloadData.hpp
@@ -471,7 +471,7 @@
     void Validate(const WorkloadInfo& workloadInfo) const;
 };
 
-struct GatherQueueDescriptor : QueueDescriptor
+struct GatherQueueDescriptor : QueueDescriptorWithParameters<GatherDescriptor>
 {
     void Validate(const WorkloadInfo& workloadInfo) const;
 };
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index d2565cf..788cb7e 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -414,9 +414,12 @@
             const TensorInfo& input0 = layer.GetInputSlot(0).GetConnection()->GetTensorInfo();
             const TensorInfo& input1 = layer.GetInputSlot(1).GetConnection()->GetTensorInfo();
             const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();
+            auto cLayer = PolymorphicDowncast<const GatherLayer*>(&layer);
+            const GatherDescriptor& descriptor = cLayer->GetParameters();
             result = layerSupportObject->IsGatherSupported(OverrideDataType(input0, dataType),
                                                            input1,
                                                            OverrideDataType(output, dataType),
+                                                           descriptor,
                                                            reason);
             break;
         }
diff --git a/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
index 1c97bef..82f9451 100644
--- a/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
+++ b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -19,9 +19,10 @@
 {
     armnn::INetworkPtr net(armnn::INetwork::Create());
 
+    armnn::GatherDescriptor descriptor;
     armnn::IConnectableLayer* paramsLayer = net->AddInputLayer(0);
     armnn::IConnectableLayer* indicesLayer = net->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData));
-    armnn::IConnectableLayer* gatherLayer = net->AddGatherLayer("gather");
+    armnn::IConnectableLayer* gatherLayer = net->AddGatherLayer(descriptor, "gather");
     armnn::IConnectableLayer* outputLayer = net->AddOutputLayer(0, "output");
     Connect(paramsLayer, gatherLayer, paramsInfo, 0, 0);
     Connect(indicesLayer, gatherLayer, indicesInfo, 0, 1);
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index dcd073d..e30cbb3 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -551,7 +551,7 @@
 
 DECLARE_LAYER_POLICY_2_PARAM(FullyConnected)
 
-DECLARE_LAYER_POLICY_1_PARAM(Gather)
+DECLARE_LAYER_POLICY_2_PARAM(Gather)
 
 DECLARE_LAYER_POLICY_CUSTOM_PARAM(Input, armnn::LayerBindingId)
 
diff --git a/src/backends/cl/ClLayerSupport.cpp b/src/backends/cl/ClLayerSupport.cpp
index 44da423..0bff963 100644
--- a/src/backends/cl/ClLayerSupport.cpp
+++ b/src/backends/cl/ClLayerSupport.cpp
@@ -466,13 +466,15 @@
 bool ClLayerSupport::IsGatherSupported(const TensorInfo& input0,
                                        const TensorInfo& input1,
                                        const TensorInfo& output,
+                                       const GatherDescriptor& descriptor,
                                        Optional<std::string&> reasonIfUnsupported) const
 {
     FORWARD_WORKLOAD_VALIDATE_FUNC(ClGatherWorkloadValidate,
                                    reasonIfUnsupported,
                                    input0,
                                    input1,
-                                   output);
+                                   output,
+                                   descriptor);
 }
 
 bool ClLayerSupport::IsGreaterSupported(const TensorInfo& input0,
diff --git a/src/backends/cl/ClLayerSupport.hpp b/src/backends/cl/ClLayerSupport.hpp
index d3c3295..49100bf 100644
--- a/src/backends/cl/ClLayerSupport.hpp
+++ b/src/backends/cl/ClLayerSupport.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -127,6 +127,7 @@
     bool IsGatherSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
+                           const GatherDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported) const override;
 
     ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
diff --git a/src/backends/cl/workloads/ClGatherWorkload.cpp b/src/backends/cl/workloads/ClGatherWorkload.cpp
index 0684870..c76b9c7 100644
--- a/src/backends/cl/workloads/ClGatherWorkload.cpp
+++ b/src/backends/cl/workloads/ClGatherWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2020 Arm Ltd. All rights reserved.
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -14,13 +14,14 @@
 {
 arm_compute::Status ClGatherWorkloadValidate(const TensorInfo& input,
                                              const TensorInfo& indices,
-                                             const TensorInfo& output)
+                                             const TensorInfo& output,
+                                             const GatherDescriptor& descriptor)
 {
     const arm_compute::TensorInfo aclInput   = BuildArmComputeTensorInfo(input);
     const arm_compute::TensorInfo aclIndices = BuildArmComputeTensorInfo(indices);
     const arm_compute::TensorInfo aclOutput  = BuildArmComputeTensorInfo(output);
 
-    int aclAxis = ComputeAclAxis(0, input);
+    int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
 
     return arm_compute::CLGather::validate(&aclInput, &aclIndices, &aclOutput, aclAxis);
 }
@@ -35,7 +36,7 @@
     arm_compute::ICLTensor& indices  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
     arm_compute::ICLTensor& output   = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
-    int aclAxis = ComputeAclAxis(0, info.m_InputTensorInfos[0]);
+    int aclAxis = ComputeAclAxis(descriptor.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
 
     m_Layer.configure(&input, &indices, &output, aclAxis);
 };
diff --git a/src/backends/cl/workloads/ClGatherWorkload.hpp b/src/backends/cl/workloads/ClGatherWorkload.hpp
index 5dbeaad..df71a99 100644
--- a/src/backends/cl/workloads/ClGatherWorkload.hpp
+++ b/src/backends/cl/workloads/ClGatherWorkload.hpp
@@ -13,7 +13,8 @@
 {
 arm_compute::Status ClGatherWorkloadValidate(const TensorInfo& input,
                                              const TensorInfo& indices,
-                                             const TensorInfo& output);
+                                             const TensorInfo& output,
+                                             const GatherDescriptor& descriptor);
 
 class ClGatherWorkload : public BaseWorkload<GatherQueueDescriptor>
 {
diff --git a/src/backends/neon/NeonLayerSupport.cpp b/src/backends/neon/NeonLayerSupport.cpp
index b611bf4..f6b3b76 100644
--- a/src/backends/neon/NeonLayerSupport.cpp
+++ b/src/backends/neon/NeonLayerSupport.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -447,13 +447,15 @@
 bool NeonLayerSupport::IsGatherSupported(const TensorInfo& input0,
                                          const TensorInfo& input1,
                                          const TensorInfo& output,
+                                         const GatherDescriptor& descriptor,
                                          Optional<std::string&> reasonIfUnsupported) const
 {
     FORWARD_WORKLOAD_VALIDATE_FUNC(NeonGatherWorkloadValidate,
                                    reasonIfUnsupported,
                                    input0,
                                    input1,
-                                   output);
+                                   output,
+                                   descriptor);
 }
 
 bool NeonLayerSupport::IsGreaterSupported(const armnn::TensorInfo& input0,
diff --git a/src/backends/neon/NeonLayerSupport.hpp b/src/backends/neon/NeonLayerSupport.hpp
index 7217fc8..aff62d1 100644
--- a/src/backends/neon/NeonLayerSupport.hpp
+++ b/src/backends/neon/NeonLayerSupport.hpp
@@ -131,6 +131,7 @@
     bool IsGatherSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
+                           const GatherDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported) const override;
 
     ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
diff --git a/src/backends/neon/workloads/NeonGatherWorkload.cpp b/src/backends/neon/workloads/NeonGatherWorkload.cpp
index 2e7c741..2c94cb5 100644
--- a/src/backends/neon/workloads/NeonGatherWorkload.cpp
+++ b/src/backends/neon/workloads/NeonGatherWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2020 Arm Ltd. All rights reserved.
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -12,13 +12,14 @@
 {
 arm_compute::Status NeonGatherWorkloadValidate(const TensorInfo& input,
                                                const TensorInfo& indices,
-                                               const TensorInfo& output)
+                                               const TensorInfo& output,
+                                               const GatherDescriptor& descriptor)
 {
     const arm_compute::TensorInfo aclInput   = BuildArmComputeTensorInfo(input);
     const arm_compute::TensorInfo aclIndices = BuildArmComputeTensorInfo(indices);
     const arm_compute::TensorInfo aclOutput  = BuildArmComputeTensorInfo(output);
 
-    int aclAxis = ComputeAclAxis(0, input);
+    int aclAxis = ComputeAclAxis(descriptor.m_Axis, input);
 
     return arm_compute::NEGather::validate(&aclInput, &aclIndices, &aclOutput, aclAxis);
 }
@@ -33,7 +34,7 @@
     arm_compute::ITensor& indices = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
     arm_compute::ITensor& output  = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
 
-    int aclAxis = ComputeAclAxis(0, info.m_InputTensorInfos[0]);
+    int aclAxis = ComputeAclAxis(descriptor.m_Parameters.m_Axis, info.m_InputTensorInfos[0]);
 
     m_Layer.configure(&input, &indices, &output, aclAxis);
 }
diff --git a/src/backends/neon/workloads/NeonGatherWorkload.hpp b/src/backends/neon/workloads/NeonGatherWorkload.hpp
index b1b47a5..e5b7b57 100644
--- a/src/backends/neon/workloads/NeonGatherWorkload.hpp
+++ b/src/backends/neon/workloads/NeonGatherWorkload.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2020 Arm Ltd. All rights reserved.
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -13,7 +13,8 @@
 {
 arm_compute::Status NeonGatherWorkloadValidate(const TensorInfo& input,
                                                const TensorInfo& indices,
-                                               const TensorInfo& output);
+                                               const TensorInfo& output,
+                                               const GatherDescriptor& descriptor);
 
 class NeonGatherWorkload : public BaseWorkload<GatherQueueDescriptor>
 {
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index 18b36a5..696c6d9 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -987,6 +987,7 @@
 bool RefLayerSupport::IsGatherSupported(const armnn::TensorInfo& input0,
                                         const armnn::TensorInfo& input1,
                                         const armnn::TensorInfo& output,
+                                        const GatherDescriptor& descriptor,
                                         armnn::Optional<std::string&> reasonIfUnsupported) const
 {
     bool supported = true;
@@ -1001,6 +1002,11 @@
         DataType::Signed32
     };
 
+    if (descriptor.m_Axis != 0)
+    {
+        reasonIfUnsupported.value() += std::string("Reference Gather: axis not supported\n");
+        supported &= false;
+    }
     supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
                                   "Reference Gather: input type not supported");
 
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 96bff56..7d2bbf2 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 #pragma once
@@ -160,6 +160,7 @@
     bool IsGatherSupported(const TensorInfo& input0,
                            const TensorInfo& input1,
                            const TensorInfo& output,
+                           const GatherDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
     ARMNN_DEPRECATED_MSG("Use IsComparisonSupported instead")
@@ -346,7 +347,6 @@
                               const TensorInfo& output,
                               const TransposeDescriptor& descriptor,
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
-
 };
 
 } // namespace armnn
diff --git a/src/backends/reference/workloads/Gather.cpp b/src/backends/reference/workloads/Gather.cpp
index c23edcd..3e2190c 100644
--- a/src/backends/reference/workloads/Gather.cpp
+++ b/src/backends/reference/workloads/Gather.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -20,9 +20,12 @@
             const TensorInfo& outputInfo,
             Decoder<float>& params,
             const int32_t* indices,
-            Encoder<float>& output)
+            Encoder<float>& output,
+            const int32_t axis)
 {
     IgnoreUnused(outputInfo);
+    IgnoreUnused(axis);
+
     const TensorShape& paramsShape = paramsInfo.GetShape();
 
     unsigned int paramsProduct = 1;
diff --git a/src/backends/reference/workloads/Gather.hpp b/src/backends/reference/workloads/Gather.hpp
index 16c983e..1550f4b 100644
--- a/src/backends/reference/workloads/Gather.hpp
+++ b/src/backends/reference/workloads/Gather.hpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -19,6 +19,7 @@
             const TensorInfo& outputInfo,
             Decoder<float>& params,
             const int32_t* indices,
-            Encoder<float>& output);
+            Encoder<float>& output,
+            const int32_t = 0);
 
 } //namespace armnn
diff --git a/src/backends/reference/workloads/RefGatherWorkload.cpp b/src/backends/reference/workloads/RefGatherWorkload.cpp
index 8edf14c..eaeed61 100644
--- a/src/backends/reference/workloads/RefGatherWorkload.cpp
+++ b/src/backends/reference/workloads/RefGatherWorkload.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -29,7 +29,7 @@
     std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
     Encoder<float>& encoder = *encoderPtr;
 
-    Gather(inputInfo0, inputInfo1, outputInfo, decoder, indicesData, encoder);
+    Gather(inputInfo0, inputInfo1, outputInfo, decoder, indicesData, encoder, m_Data.m_Parameters.m_Axis);
 }
 
 } //namespace armnn