IVGCVSW-4259 Add frontend and reference workload for UnaryOperationLayer

* Added new layer named ElementwiseUnary
* Deprecated existing Abs/Rsqrt layer functions
* Updated existing Abs/Rsqrt test infrastructure to use new layer
* Added boilerplate for new Exp,Neg,Sqrt elemwise op layers
* AbsQuantize test removed pending future commit
* Serialization support added

!android-nn-driver:2550

Change-Id: Ic595c645925e17b45db568187fd05646daf2e87f
Signed-off-by: josh minor <josh.minor@arm.com>

1 files changed, 62 insertions, 0 deletions

diff --git a/src/armnn/layers/ElementwiseUnaryLayer.cpp b/src/armnn/layers/ElementwiseUnaryLayer.cpp
new file mode 100644
index 0000000000..d3843da060
--- /dev/null
+++ b/src/armnn/layers/ElementwiseUnaryLayer.cpp
@@ -0,0 +1,62 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ElementwiseUnaryLayer.hpp"
+
+#include "LayerCloneBase.hpp"
+
+#include <backendsCommon/WorkloadData.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+#include <algorithm>
+
+namespace armnn
+{
+
+ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name)
+    : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
+{
+}
+
+std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
+{
+    ElementwiseUnaryQueueDescriptor descriptor;
+    return factory.CreateElementwiseUnary(descriptor, PrepInfoAndDesc(descriptor));
+}
+
+ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const
+{
+    return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
+}
+
+std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
+{
+    // Should return the shape of the input tensor
+    BOOST_ASSERT(inputShapes.size() == 1);
+    const TensorShape& input = inputShapes[0];
+
+    return std::vector<TensorShape>({ input });
+}
+
+void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()
+{
+    VerifyLayerConnections(1, CHECK_LOCATION());
+
+    std::vector<TensorShape> inferredShapes = InferOutputShapes({
+        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()});
+    BOOST_ASSERT(inferredShapes.size() == 1);
+
+    ConditionalThrowIfNotEqual<LayerValidationException>(
+        "ElementwiseUnaryLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
+        GetOutputSlot(0).GetTensorInfo().GetShape(),
+        inferredShapes[0]);
+}
+
+void ElementwiseUnaryLayer::Accept(ILayerVisitor& visitor) const
+{
+    visitor.VisitElementwiseUnaryLayer(this, GetParameters(), GetName());
+}
+
+} // namespace armnn