diff --git a/src/backends/reference/workloads/CMakeLists.txt b/src/backends/reference/workloads/CMakeLists.txt
index 47e42f7..89aed91 100644
--- a/src/backends/reference/workloads/CMakeLists.txt
+++ b/src/backends/reference/workloads/CMakeLists.txt
@@ -25,6 +25,7 @@
     Gather.hpp
     Maximum.hpp
     Merger.hpp
+    Merger.cpp
     Minimum.hpp
     Pad.cpp
     Pad.hpp
diff --git a/src/backends/reference/workloads/Merger.cpp b/src/backends/reference/workloads/Merger.cpp
new file mode 100644
index 0000000..10cc249
--- /dev/null
+++ b/src/backends/reference/workloads/Merger.cpp
@@ -0,0 +1,110 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "Merger.hpp"
+#include "RefWorkloadUtils.hpp"
+
+namespace armnn
+{
+
+template <>
+void CopyValue<float>(const float& source, const TensorInfo& sourceInfo, float& dest, const TensorInfo& destInfo)
+{
+    dest = source;
+}
+
+template <>
+void CopyValue<uint8_t>(const uint8_t& source, const TensorInfo& sourceInfo, uint8_t& dest, const TensorInfo& destInfo)
+{
+    if (sourceInfo.GetQuantizationScale() != destInfo.GetQuantizationScale() ||
+        sourceInfo.GetQuantizationOffset() != destInfo.GetQuantizationOffset())
+    {
+        // Dequantize value acording to sourceInfo params
+        float dequantizedValue = armnn::Dequantize<uint8_t>(source,
+                                                            sourceInfo.GetQuantizationScale(),
+                                                            sourceInfo.GetQuantizationOffset());
+
+        // Quantize again according to destInfo paramns
+        dest = armnn::Quantize<uint8_t>(dequantizedValue,
+                destInfo.GetQuantizationScale(),
+                destInfo.GetQuantizationOffset());
+    }
+    else
+    {
+        dest = source;
+    }
+}
+
+template <typename DataType>
+void Merger(const MergerQueueDescriptor& data)
+{
+    const TensorInfo& outputInfo0 = GetTensorInfo(data.m_Outputs[0]);
+
+    for (unsigned int index = 0 ; index < outputInfo0.GetNumElements(); ++index)
+    {
+        unsigned int indices[MaxNumOfTensorDimensions] = { 0 };
+
+        unsigned int indexRemainder = index;
+        unsigned int dimensionStride = outputInfo0.GetNumElements();
+
+        for (unsigned int i = 0; i < outputInfo0.GetNumDimensions(); i++)
+        {
+            dimensionStride /= outputInfo0.GetShape()[i];
+            indices[i] = indexRemainder / dimensionStride; // Use integer division to round down.
+            indexRemainder -= indices[i] * dimensionStride;
+        }
+
+        for (unsigned int viewIdx = 0; viewIdx < data.m_ViewOrigins.size(); ++viewIdx)
+        {
+            MergerQueueDescriptor::ViewOrigin const& view = data.m_ViewOrigins[viewIdx];
+
+            //Split view extents are defined by the size of (the corresponding) input tensor.
+            const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[viewIdx]);
+            BOOST_ASSERT(inputInfo.GetNumDimensions() == outputInfo0.GetNumDimensions());
+
+            // Check all dimensions to see if this element is inside the given input view.
+            bool insideView = true;
+            for (unsigned int i = 0; i < inputInfo.GetNumDimensions(); i++)
+            {
+                if (indices[i] < view.m_Origin[i])
+                {
+                    insideView = false;
+                }
+                if (indices[i] >= view.m_Origin[i] + inputInfo.GetShape()[i])
+                {
+                    insideView = false;
+                }
+            }
+
+            if (insideView)
+            {
+                unsigned int inIndex = 0;
+                unsigned int dimensionStride = 1;
+
+                for (unsigned int i = inputInfo.GetNumDimensions(); i-- > 0;)
+                {
+                    inIndex += dimensionStride * (indices[i] - view.m_Origin[i]);
+                    dimensionStride *= inputInfo.GetShape()[i];
+                }
+
+                CopyValue<DataType>((GetInputTensorData<DataType>(viewIdx, data))[inIndex],
+                                    GetTensorInfo(data.m_Inputs[viewIdx]),
+                                    (GetOutputTensorData<DataType>(0, data))[index],
+                                    outputInfo0);
+
+                //What should we do if input views overlap on the output tensor?
+                //We could error, take the average, or shm else...
+                //For now just stop after finding first view (input) that matches.
+                break;
+            }
+        }
+    }
+}
+
+template void Merger<float>(const MergerQueueDescriptor& data);
+
+template void Merger<uint8_t>(const MergerQueueDescriptor& data);
+
+} //namespace armnn
diff --git a/src/backends/reference/workloads/Merger.hpp b/src/backends/reference/workloads/Merger.hpp
index 76d807c..ba3b99b 100644
--- a/src/backends/reference/workloads/Merger.hpp
+++ b/src/backends/reference/workloads/Merger.hpp
@@ -5,8 +5,6 @@
 
 #pragma once
 
-#include "RefWorkloadUtils.hpp"
-
 #include <backendsCommon/WorkloadData.hpp>
 #include <armnn/Tensor.hpp>
 
@@ -14,68 +12,9 @@
 {
 
 template <typename DataType>
-void Merger(const MergerQueueDescriptor& data)
-{
-    const TensorInfo& outputInfo0 = GetTensorInfo(data.m_Outputs[0]);
+void CopyValue(const DataType& source, const TensorInfo& sourceInfo, DataType& dest, const TensorInfo& destInfo);
 
-    for (unsigned int index = 0 ; index < outputInfo0.GetNumElements(); ++index)
-    {
-        unsigned int indices[MaxNumOfTensorDimensions] = { 0 };
-
-        unsigned int indexRemainder = index;
-        unsigned int dimensionStride = outputInfo0.GetNumElements();
-
-        for (unsigned int i=0; i<outputInfo0.GetNumDimensions(); i++)
-        {
-            dimensionStride /= outputInfo0.GetShape()[i];
-            indices[i] = indexRemainder / dimensionStride; // Use integer division to round down.
-            indexRemainder -= indices[i] * dimensionStride;
-        }
-
-        for (unsigned int viewIdx = 0; viewIdx < data.m_ViewOrigins.size(); ++viewIdx)
-        {
-            MergerQueueDescriptor::ViewOrigin const& view = data.m_ViewOrigins[viewIdx];
-
-            //Split view extents are defined by the size of (the corresponding) input tensor.
-            const TensorInfo& inputInfo = GetTensorInfo(data.m_Inputs[viewIdx]);
-            BOOST_ASSERT(inputInfo.GetNumDimensions() == outputInfo0.GetNumDimensions());
-
-            // Check all dimensions to see if this element is inside the given input view.
-            bool insideView = true;
-            for (unsigned int i=0; i<inputInfo.GetNumDimensions(); i++)
-            {
-                if (indices[i] < view.m_Origin[i])
-                {
-                    insideView = false;
-                }
-                if (indices[i] >= view.m_Origin[i] + inputInfo.GetShape()[i])
-                {
-                    insideView = false;
-                }
-            }
-
-            if (insideView)
-            {
-                unsigned int inIndex = 0;
-                unsigned int dimensionStride = 1;
-
-                for (unsigned int i = inputInfo.GetNumDimensions(); i-- > 0;)
-                {
-                    inIndex += dimensionStride * (indices[i] - view.m_Origin[i]);
-                    dimensionStride *= inputInfo.GetShape()[i];
-                }
-
-                //We are within the view, copy input data to the output corresponding to this view.
-                (GetOutputTensorData<DataType>(0, data))[index] =
-                    (GetInputTensorData<DataType>(viewIdx, data))[inIndex];
-
-                //What should we do if input views overlap on the output tensor?
-                //We could error, take the average, or shm else...
-                //For now just stop after finding first view (input) that matches.
-                break;
-            }
-        }
-    }
-}
+template <typename DataType>
+void Merger(const MergerQueueDescriptor& data);
 
 } //namespace armnn