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diff --git a/src/armnn/layers/ElementwiseUnaryLayer.hpp b/src/armnn/layers/ElementwiseUnaryLayer.hpp
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+++ b/src/armnn/layers/ElementwiseUnaryLayer.hpp
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+//
+// 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