2 files changed, 110 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
diff --git a/src/armnn/layers/ElementwiseUnaryLayer.hpp b/src/armnn/layers/ElementwiseUnaryLayer.hpp
new file mode 100644
index 0000000000..850a814b6e
--- /dev/null
+++ b/src/armnn/layers/ElementwiseUnaryLayer.hpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a elementwiseUnary operation.
+class ElementwiseUnaryLayer : public LayerWithParameters<ElementwiseUnaryDescriptor>
+{
+public:
+    /// Makes a workload for the elementwiseUnary type
+    /// @param [in] graph The graph where this layer can be found
+    /// @param [in] factory The workload factory which will create the workload
+    /// @return A pointer to the created workload, or nullptr if not created
+    virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
+
+    /// Creates a dynamically-allocated copy of this layer
+    /// @param [in] graph The graph into which this layer is being cloned
+    ElementwiseUnaryLayer* Clone(Graph& graph) const override;
+
+    /// Returns inputShapes by default.
+    /// @param [in] inputShapes The input shapes layer has.
+    /// @return A vector to the inferred output shape.
+    std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
+
+    /// Check if the input tensor shape(s) will lead to a valid configuration
+    /// of @ref ElementwiseUnaryLayer
+    void ValidateTensorShapesFromInputs() override;
+
+    void Accept(ILayerVisitor& visitor) const override;
+
+protected:
+    /// Constructor to create a ElementwiseUnaryLayer
+    /// @param [in] param ElementwiseUnaryDescriptor to configure the ElementwiseUnaryLayer
+    /// @param [in] name Optional name for the layer
+    ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~ElementwiseUnaryLayer() = default;
+};
+
+} // namespace armnn