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, 29 insertions, 0 deletions

diff --git a/src/backends/reference/workloads/RefElementwiseBinaryWorkload.hpp b/src/backends/reference/workloads/RefElementwiseBinaryWorkload.hpp
new file mode 100644
index 0000000000..37458a1705
--- /dev/null
+++ b/src/backends/reference/workloads/RefElementwiseBinaryWorkload.hpp
@@ -0,0 +1,29 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "BaseIterator.hpp"
+
+#include "RefBaseWorkload.hpp"
+#include <armnn/backends/WorkloadData.hpp>
+
+namespace armnn
+{
+
+class RefElementwiseBinaryWorkload : public RefBaseWorkload<ElementwiseBinaryQueueDescriptor>
+{
+public:
+    using RefBaseWorkload<ElementwiseBinaryQueueDescriptor>::m_Data;
+
+    RefElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor& descriptor, const WorkloadInfo& info);
+    void Execute() const override;
+    void ExecuteAsync(ExecutionData& executionData)  override;
+
+private:
+    void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const;
+};
+
+} // namespace armnn