diff --git a/src/backends/reference/workloads/Debug.cpp b/src/backends/reference/workloads/Debug.cpp
new file mode 100644
index 0000000..dfcbbd8
--- /dev/null
+++ b/src/backends/reference/workloads/Debug.cpp
@@ -0,0 +1,101 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "Debug.hpp"
+
+#include <boost/numeric/conversion/cast.hpp>
+
+#include <cstring>
+#include <algorithm>
+#include <iostream>
+
+namespace armnn
+{
+
+template <typename T>
+void Debug(const TensorInfo& inputInfo,
+           const TensorInfo& outputInfo,
+           const DebugDescriptor& descriptor,
+           const T* inputData,
+           T* outputData)
+{
+    const unsigned int numDims = inputInfo.GetNumDimensions();
+    const unsigned int numElements = inputInfo.GetNumElements();
+    const TensorShape& inputShape = inputInfo.GetShape();
+
+    unsigned int strides[numDims];
+    strides[numDims - 1] = inputShape[numDims - 1];
+
+    for (unsigned int i = 2; i <= numDims; i++)
+    {
+        strides[numDims - i] = strides[numDims - i + 1] * inputShape[numDims - i];
+    }
+
+    std::cout << "{ ";
+    std::cout << "\"layer\": \"" << descriptor.m_LayerName << "\", ";
+    std::cout << "\"outputSlot\": " << descriptor.m_SlotIndex << ", ";
+    std::cout << "\"shape\": ";
+
+    std::cout << "[";
+    for (unsigned int i = 0; i < numDims; i++)
+    {
+        std::cout << inputShape[i];
+        if (i != numDims - 1)
+        {
+            std::cout << ", ";
+        }
+    }
+    std::cout << "], ";
+
+    std::cout << "\"min\": "
+        << boost::numeric_cast<float>(*std::min_element(inputData, inputData + numElements)) << ", ";
+
+    std::cout << "\"max\": "
+        << boost::numeric_cast<float>(*std::max_element(inputData, inputData + numElements)) << ", ";
+
+    std::cout << "\"data\": ";
+
+    for (unsigned int i = 0; i < numElements; i++)
+    {
+        for (unsigned int j = 0; j < numDims; j++)
+        {
+            if (i % strides[j] == 0)
+            {
+                std::cout << "[" ;
+            }
+        }
+
+        std::cout << boost::numeric_cast<float>(inputData[i]);
+
+        for (unsigned int j = 0; j < numDims; j++)
+        {
+            if ((i+1) % strides[j] == 0)
+            {
+                std::cout << "]" ;
+            }
+        }
+
+        if (i != numElements - 1)
+        {
+            std::cout << ", ";
+        }
+    }
+
+    std::cout << " }" << std::endl;
+
+    std::memcpy(outputData, inputData, inputInfo.GetNumElements()*sizeof(T));
+}
+
+template void Debug<float>(const TensorInfo& inputInfo,
+                           const TensorInfo& outputInfo,
+                           const DebugDescriptor& descriptor,
+                           const float* inputData,
+                           float* outputData);
+
+template void Debug<uint8_t>(const TensorInfo& inputInfo,
+                             const TensorInfo& outputInfo,
+                             const DebugDescriptor& descriptor,
+                             const uint8_t* inputData,
+                             uint8_t* outputData);
+} //namespace armnn