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>
diff --git a/src/backends/reference/workloads/Abs.hpp b/src/backends/reference/workloads/Abs.hpp
index b1165d2..b05f2e3 100644
--- a/src/backends/reference/workloads/Abs.hpp
+++ b/src/backends/reference/workloads/Abs.hpp
@@ -1,19 +1,22 @@
//
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
-#include "BaseIterator.hpp"
-#include <armnn/Tensor.hpp>
-#include <armnn/Types.hpp>
+#pragma once
+
+#include <iostream>
namespace armnn
{
-
-/// Performs the absolute function elementwise
-/// on the inputs to give the outputs.
-void Abs(Decoder<float>& in,
- Encoder<float>& out,
- const TensorInfo& tensorInfo);
+ template<typename T>
+struct abs : public std::unary_function<T, T>
+ {
+ T
+ operator () (const T& inputData) const
+ {
+ return std::abs(inputData);
+ }
+ };
} //namespace armnn