IVGCVSW-2632 Fix RefMerger from QAsymm8 types with different quantization parameters
Change-Id: Ie67ce4966c5e5fef618876b027292da429de1485
Signed-off-by: Ferran Balaguer <ferran.balaguer@arm.com>
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