1 files changed, 44 insertions, 0 deletions
diff --git a/src/armnn/layers/NormalizationLayer.cpp b/src/armnn/layers/NormalizationLayer.cpp
new file mode 100644
index 0000000000..cacd348444
--- /dev/null
+++ b/src/armnn/layers/NormalizationLayer.cpp
@@ -0,0 +1,44 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// See LICENSE file in the project root for full license information.
+//
+#include "NormalizationLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backends/WorkloadData.hpp>
+#include <backends/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+NormalizationLayer::NormalizationLayer(const NormalizationDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::Normalization, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
+{
+    NormalizationQueueDescriptor descriptor;
+    return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+NormalizationLayer* NormalizationLayer::Clone(Graph& graph) const
+{
+    return CloneBase<NormalizationLayer>(graph, m_Param, GetName());
+}
+
+void NormalizationLayer::ValidateTensorShapesFromInputs()
+{
+    ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
+                                               "NormalizationLayer: Input slot must be connected.");
+
+    const TensorShape& outShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape();
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        outShape);
+}
+
+} // namespace armnn