Release 18.02
Change-Id: Id3c11dc5ee94ef664374a988fcc6901e9a232fa6
diff --git a/src/armnn/backends/RefWorkloads/Broadcast.hpp b/src/armnn/backends/RefWorkloads/Broadcast.hpp
new file mode 100644
index 0000000..b65b57f
--- /dev/null
+++ b/src/armnn/backends/RefWorkloads/Broadcast.hpp
@@ -0,0 +1,58 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include <armnn/Tensor.hpp>
+
+#include <functional>
+
+namespace armnn
+{
+
+struct BroadcastLoop
+{
+ BroadcastLoop(const TensorShape& inShape0, const TensorShape& inShape1, const TensorShape& outShape);
+
+ unsigned int GetNumDimensions()
+ {
+ return static_cast<unsigned int>(m_DimData.size());
+ }
+
+ template <typename T0, typename T1, typename U, typename Func>
+ void Unroll(Func operationFunc,
+ unsigned int dimension,
+ const T0* inData0,
+ const T1* inData1,
+ U* outData)
+ {
+ if (dimension >= GetNumDimensions())
+ {
+ *outData = operationFunc(*inData0, *inData1);
+ return;
+ }
+
+ for (unsigned int i = 0; i < m_DimData[dimension].m_DimSize; i++)
+ {
+ Unroll(operationFunc, dimension + 1, inData0, inData1, outData);
+
+ inData0 += m_DimData[dimension].m_Stride1;
+ inData1 += m_DimData[dimension].m_Stride2;
+ outData += m_DimData[dimension].m_StrideOut;
+ }
+ }
+
+private:
+ // Struct to hold the dimension data
+ struct BroadcastDimensionData
+ {
+ unsigned int m_DimSize;
+ unsigned int m_StrideOut;
+ unsigned int m_Stride1;
+ unsigned int m_Stride2;
+ };
+
+ std::vector<BroadcastDimensionData> m_DimData;
+};
+
+} //namespace armnn
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