IVGCVSW-3808 Add ElementwiseBinaryLayer

!android-nn-driver:9329

 * Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
   operations including Add, Div, Sub, Maximum, Mul and Minimum.
 * Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
   Div, Sub, Maximum, Mul and Minimum layers.
 * Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
   Div, Sub, Maximum, Mul and Minimum layers.
 * Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
   layer.
 * Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
   Div, Sub, Maximum, Mul and Minimum layers.
 * Updated CL and Neon tests to use ElementwiseBinaryLayer.
 * Updated CL and Neon Backend Specific Optimizations to accept
   ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
   layers.

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75

1 files changed, 48 insertions, 0 deletions

diff --git a/src/armnn/layers/ElementwiseBinaryLayer.hpp b/src/armnn/layers/ElementwiseBinaryLayer.hpp
new file mode 100644
index 0000000000..78e3f41f9e
--- /dev/null
+++ b/src/armnn/layers/ElementwiseBinaryLayer.hpp
@@ -0,0 +1,48 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "LayerWithParameters.hpp"
+
+namespace armnn
+{
+
+/// This layer represents a elementwiseBinary operation.
+class ElementwiseBinaryLayer : public LayerWithParameters<ElementwiseBinaryDescriptor>
+{
+public:
+    /// Makes a workload for the elementwiseBinary 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
+    ElementwiseBinaryLayer* 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 ElementwiseBinaryLayer
+    void ValidateTensorShapesFromInputs() override;
+
+    void ExecuteStrategy(IStrategy& strategy) const override;
+
+protected:
+    /// Constructor to create a ElementwiseBinaryLayer
+    /// @param [in] param ElementwiseBinaryDescriptor to configure the ElementwiseBinaryLayer
+    /// @param [in] name Optional name for the layer
+    ElementwiseBinaryLayer(const ElementwiseBinaryDescriptor& param, const char* name);
+
+    /// Default destructor
+    ~ElementwiseBinaryLayer() = default;
+};
+
+} // namespace armnn