diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index 1d5fab1..e94478f 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -344,7 +344,7 @@
         case LayerType::ReverseV2:
             return IsReverseV2Supported(infos[0],
                                         infos[1],
-                                        *(PolymorphicDowncast<const ReverseV2Descriptor*>(&descriptor)),
+                                        infos[2],
                                         reasonIfUnsupported);
         case LayerType::Reduce:
             return IsReduceSupported(infos[0],
@@ -2361,12 +2361,11 @@
     return supported;
 }
 
-bool RefLayerSupport::IsReverseV2Supported(const TensorInfo& input,
+bool RefLayerSupport::IsReverseV2Supported(const TensorInfo& input0,
+                                           const TensorInfo& input1,
                                            const TensorInfo& output,
-                                           const ReverseV2Descriptor& descriptor,
                                            Optional<std::string&> reasonIfUnsupported) const
 {
-    IgnoreUnused(descriptor);
     bool supported = true;
     // ReverseV2 is data type agnostic so it can support all the types in the Reference backend
     std::array<DataType,6> supportedTypes =
@@ -2379,14 +2378,22 @@
         DataType::QSymmS16
     };
 
-    supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
-                                  "Reference ReverseV2: input type not supported");
+    supported &= CheckSupportRule(TypeAnyOf(input0, supportedTypes), reasonIfUnsupported,
+                                  "Reference ReverseV2: input0 type not supported");
 
     supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
                                   "Reference ReverseV2: output type not supported");
 
-    supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
-                                  "Reference ReverseV2: input and output types not matching");
+    supported &= CheckSupportRule(TypesAreEqual(input0, output), reasonIfUnsupported,
+                                  "Reference ReverseV2: input0 and output types not matching");
+
+    std::array<DataType,6> input2SupportedTypes =
+    {
+        DataType::Signed32
+    };
+
+    supported &= CheckSupportRule(TypeAnyOf(input1, input2SupportedTypes), reasonIfUnsupported,
+                                  "Reference ReverseV2: input1 type not supported");
 
     return supported;
 }
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 0afb9c2..21d59e2 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -299,9 +299,9 @@
                            const ResizeDescriptor& descriptor,
                            Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
 
-    bool IsReverseV2Supported(const TensorInfo& input,
+    bool IsReverseV2Supported(const TensorInfo& input0,
+                              const TensorInfo& input1,
                               const TensorInfo& output,
-                              const ReverseV2Descriptor& descriptor,
                               Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
 
     bool IsShapeSupported(const TensorInfo& input,
diff --git a/src/backends/reference/workloads/RefReverseV2Workload.cpp b/src/backends/reference/workloads/RefReverseV2Workload.cpp
index cd2d9f9..22d5449 100644
--- a/src/backends/reference/workloads/RefReverseV2Workload.cpp
+++ b/src/backends/reference/workloads/RefReverseV2Workload.cpp
@@ -32,16 +32,21 @@
         ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefReverseV2Workload_Execute");
 
         const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
+        const TensorInfo& axisInfo = GetTensorInfo(inputs[1]);
 
         std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
                                                                           inputs[0]->Map());
 
+        std::unique_ptr<Decoder<int>> axisDecoder = MakeDecoder<int>(GetTensorInfo(inputs[1]),
+                                                                          inputs[1]->Map());
+
         std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
                                                                            outputs[0]->Map());
 
-        ReverseV2(m_Data.m_Parameters,
-                  inputInfo,
+        ReverseV2(inputInfo,
+                  axisInfo,
                   *inputDecoder,
+                  *axisDecoder,
                   *outputEncoder);
     }
 
diff --git a/src/backends/reference/workloads/ReverseV2Impl.cpp b/src/backends/reference/workloads/ReverseV2Impl.cpp
index f6d5fd7..896f905 100644
--- a/src/backends/reference/workloads/ReverseV2Impl.cpp
+++ b/src/backends/reference/workloads/ReverseV2Impl.cpp
@@ -75,13 +75,16 @@
     return outputIdx;
 }
 
-void ReverseV2(const ReverseV2Descriptor& params,
-               const TensorInfo& inputInfo,
+void ReverseV2(const TensorInfo& inputInfo,
+               const TensorInfo& axisInfo,
                Decoder<float>& inputDecoder,
+               Decoder<int>& axisDecoder,
                Encoder<float>& outputEncoder)
 {
+    unsigned int axesRank = static_cast<unsigned int>(axisInfo.GetNumElements());
+
     // Empty axis and empty tensor case: copy input to output
-    if (params.m_Axis.empty() || inputInfo.GetNumElements() == 0)
+    if ((axesRank == 0) || inputInfo.GetNumElements() == 0)
     {
         for (unsigned idx = 0; idx < inputInfo.GetNumElements(); idx++)
         {
@@ -95,11 +98,19 @@
 
     unsigned int inputRank = static_cast<unsigned int>(inputInfo.GetNumDimensions());
 
-    std::vector<bool>axisFlag(inputRank, false);
-    std::vector<unsigned int>dimSize(inputRank, 0);
+    std::vector<bool> axisFlag(inputRank, false);
+    std::vector<unsigned int> dimSize(inputRank, 0);
+    std::vector<int32_t> axis(axesRank, 0);
+
+    // Decode the axis information
+    for (unsigned int i=0; i < axesRank; i++)
+    {
+        axis[i] = axisDecoder.Get();
+        axisDecoder += 1;
+    }
 
     // Make sure the axes are positive
-    for (int32_t axisElement: params.m_Axis)
+    for (int32_t axisElement: axis)
     {
         axisElement = axisElement < 0 ? axisElement + static_cast<int32_t>(inputRank) : axisElement;
         axisFlag[static_cast<uint32_t>(axisElement)] = true;
diff --git a/src/backends/reference/workloads/ReverseV2Impl.hpp b/src/backends/reference/workloads/ReverseV2Impl.hpp
index bc1fe1d..59407d4 100644
--- a/src/backends/reference/workloads/ReverseV2Impl.hpp
+++ b/src/backends/reference/workloads/ReverseV2Impl.hpp
@@ -13,9 +13,10 @@
 namespace armnn
 {
 
-void ReverseV2(const ReverseV2Descriptor& params,
-               const TensorInfo& inputInfo,
+void ReverseV2(const TensorInfo& inputInfo,
+               const TensorInfo& axisInfo,
                Decoder<float>& inputDecoder,
+               Decoder<int>& axisDecoder,
                Encoder<float>& outputEncoder);
 
-} // namespace armnn
\ No newline at end of file
+} // namespace armnn