1 files changed, 68 insertions, 0 deletions
diff --git a/src/armnn/layers/AdditionLayer.cpp b/src/armnn/layers/AdditionLayer.cpp
new file mode 100644
index 0000000000..85d12eabcb
--- /dev/null
+++ b/src/armnn/layers/AdditionLayer.cpp
@@ -0,0 +1,68 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "AdditionLayer.hpp"
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+AdditionLayer::AdditionLayer(const char* name)
+    : Layer(2, 1, LayerType::Addition, name)
+{
+}
+
+std::unique_ptr<IWorkload> AdditionLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
+{
+    AdditionQueueDescriptor descriptor;
+    return factory.CreateAddition(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+AdditionLayer* AdditionLayer::Clone(Graph& graph) const
+{
+    return CloneBase<AdditionLayer>(graph, GetName());
+}
+
+void AdditionLayer::ValidateTensorShapesFromInputs()
+{
+    auto& input0 = GetInputSlot(0).GetConnection()->GetTensorInfo();
+    auto& input1 = GetInputSlot(1).GetConnection()->GetTensorInfo();
+
+    // Get the max of the inputs
+    BOOST_ASSERT(input0.GetNumDimensions() == input1.GetNumDimensions());
+    unsigned int numDims = input0.GetNumDimensions();
+    std::vector<unsigned int> dims(numDims);
+
+    // validate inputs are broadcast compatible
+#if !NDEBUG
+    for (unsigned int i = 0; i < numDims; i++)
+    {
+        unsigned int dim0 = input0.GetShape()[i];
+        unsigned int dim1 = input1.GetShape()[i];
+        if (dim0 != dim1)
+        {
+            BOOST_ASSERT_MSG(dim0 == 1 || dim1 == 1, "Dimensions should either match or one should be of size 1.");
+        }
+    }
+#endif
+
+    for (unsigned int i = 0; i < numDims; i++)
+    {
+        unsigned int dim0 = input0.GetShape()[i];
+        unsigned int dim1 = input1.GetShape()[i];
+        dims[i] = std::max(dim0, dim1);
+    }
+
+    TensorShape outShape(numDims, dims.data());
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "AdditionLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        outShape);
+}
+
+} // namespace armnn