From b2845655b7814470c2a52cd7d0bee01031615bfc Mon Sep 17 00:00:00 2001
From: Ferran Balaguer <ferran.balaguer@arm.com>
Date: Wed, 27 Feb 2019 09:42:06 +0000
Subject: IVGCVSW-2632 Fix RefMerger from QAsymm8 types with different
 quantization parameters

Change-Id: Ie67ce4966c5e5fef618876b027292da429de1485
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
---
 src/backends/reference/workloads/Merger.cpp | 110 ++++++++++++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 src/backends/reference/workloads/Merger.cpp

(limited to 'src/backends/reference/workloads/Merger.cpp')

diff --git a/src/backends/reference/workloads/Merger.cpp b/src/backends/reference/workloads/Merger.cpp
new file mode 100644
index 0000000000..10cc2494c4
--- /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
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