IVGCVSW-1200 Division layer

	*IVGCVSW-1772 Create QueueDescriptors
	*IVGCVSW-1773 Add a CL implementation of the DivisionWorkload
	*IVGCVSW-1774 Add Neon implementation of the DivisionWorkload
	*IVGCVSW-1775 Add a Ref implementation of the DivisionWorkload
	*IVGCVSW-1776 Add a Division Layer
	* Added simple division unit tests with broadcasting

Change-Id: I05751fb7f868789f6c06f91e8d25e52b4f12ab5e

1 files changed, 52 insertions, 0 deletions

diff --git a/src/armnn/backends/RefWorkloads/Division.cpp b/src/armnn/backends/RefWorkloads/Division.cpp
new file mode 100644
index 0000000000..9837fea6b4
--- /dev/null
+++ b/src/armnn/backends/RefWorkloads/Division.cpp
@@ -0,0 +1,52 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+
+#include "Division.hpp"
+#include "Broadcast.hpp"
+
+#include <functional>
+
+namespace
+{
+
+void ElementwiseDivision(unsigned int numElements,
+                         const float* inData0,
+                         const float* inData1,
+                         float* outData)
+{
+    for (unsigned int i = 0; i < numElements; ++i)
+    {
+        //TODO How to handle divide by 0
+        outData[i] = inData0[i] / inData1[i];
+    }
+}
+
+} // namespace
+
+namespace armnn
+{
+
+void Division(const TensorShape& inShape0,
+              const TensorShape& inShape1,
+              const TensorShape& outShape,
+              const float* inData0,
+              const float* inData1,
+              float* outData)
+{
+    if (inShape0 == inShape1)
+    {
+        ElementwiseDivision(inShape0.GetNumElements(), inData0, inData1, outData);
+    }
+    else
+    {
+        BroadcastLoop(inShape0, inShape1, outShape).Unroll(std::divides<float>(),
+                                                           0,
+                                                           inData0,
+                                                           inData1,
+                                                           outData);
+    }
+}
+
+} //namespace armnn