1 files changed, 52 insertions, 0 deletions
diff --git a/src/armnn/layers/InstanceNormalizationLayer.cpp b/src/armnn/layers/InstanceNormalizationLayer.cpp
new file mode 100644
index 0000000000..fc3044af50
--- /dev/null
+++ b/src/armnn/layers/InstanceNormalizationLayer.cpp
@@ -0,0 +1,52 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include "InstanceNormalizationLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <armnn/TypesUtils.hpp>
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+namespace armnn
+{
+
+InstanceNormalizationLayer::InstanceNormalizationLayer(const InstanceNormalizationDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::InstanceNormalization, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> InstanceNormalizationLayer::CreateWorkload(const Graph& graph,
+    const IWorkloadFactory& factory) const
+{
+    InstanceNormalizationQueueDescriptor descriptor;
+    return factory.CreateInstanceNormalization(descriptor, PrepInfoAndDesc(descriptor, graph));
+}
+
+InstanceNormalizationLayer* InstanceNormalizationLayer::Clone(Graph& graph) const
+{
+    return CloneBase<InstanceNormalizationLayer>(graph, m_Param, GetName());
+}
+
+void InstanceNormalizationLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
+
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void InstanceNormalizationLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitInstanceNormalizationLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn