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authorjosh minor <josh.minor@arm.com>2020-01-06 16:40:46 -0600
committerDerek Lamberti <derek.lamberti@arm.com>2020-01-23 14:29:14 +0000
commit4a3c61091037e7e86e8b03bb060d8c1ab82731a9 (patch)
tree928644023400ad5ac0c26b33dfff2f975567d6e8 /src/backends/reference/workloads/ElementwiseFunction.cpp
parent190a39a4a9598e42b636ae4ab843761884148160 (diff)
downloadarmnn-4a3c61091037e7e86e8b03bb060d8c1ab82731a9.tar.gz
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>
Diffstat (limited to 'src/backends/reference/workloads/ElementwiseFunction.cpp')
-rw-r--r--src/backends/reference/workloads/ElementwiseFunction.cpp58
1 files changed, 39 insertions, 19 deletions
diff --git a/src/backends/reference/workloads/ElementwiseFunction.cpp b/src/backends/reference/workloads/ElementwiseFunction.cpp
index 888037f9a6..5687cf5861 100644
--- a/src/backends/reference/workloads/ElementwiseFunction.cpp
+++ b/src/backends/reference/workloads/ElementwiseFunction.cpp
@@ -7,36 +7,56 @@
#include "Broadcast.hpp"
#include <functional>
#include "Minimum.hpp"
-
#include "Maximum.hpp"
+#include "Abs.hpp"
+#include "Exp.hpp"
+#include "Rsqrt.hpp"
+#include "Sqrt.hpp"
+
namespace armnn
{
template <typename Functor>
-ElementwiseFunction<Functor>::ElementwiseFunction(const TensorShape& inShape0,
- const TensorShape& inShape1,
- const TensorShape& outShape,
- armnn::Decoder<InType>& inData0,
- armnn::Decoder<InType>& inData1,
- armnn::Encoder<OutType>& outData)
+ElementwiseBinaryFunction<Functor>::ElementwiseBinaryFunction(const TensorShape& inShape0,
+ const TensorShape& inShape1,
+ const TensorShape& outShape,
+ Decoder<InType>& inData0,
+ Decoder<InType>& inData1,
+ Encoder<OutType>& outData)
{
BroadcastLoop(inShape0, inShape1, outShape).Unroll(Functor(), 0, inData0, inData1, outData);
}
+template <typename Functor>
+ElementwiseUnaryFunction<Functor>::ElementwiseUnaryFunction(const TensorShape& inShape,
+ const TensorShape& outShape,
+ Decoder<InType>& inData,
+ Encoder<OutType>& outData)
+{
+ BroadcastLoop(inShape, outShape).Unroll(Functor(), 0, inData, outData);
+}
+
} //namespace armnn
-template struct armnn::ElementwiseFunction<std::plus<float>>;
-template struct armnn::ElementwiseFunction<std::minus<float>>;
-template struct armnn::ElementwiseFunction<std::multiplies<float>>;
-template struct armnn::ElementwiseFunction<std::divides<float>>;
-template struct armnn::ElementwiseFunction<armnn::maximum<float>>;
-template struct armnn::ElementwiseFunction<armnn::minimum<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::plus<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::minus<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::multiplies<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::divides<float>>;
+template struct armnn::ElementwiseBinaryFunction<armnn::maximum<float>>;
+template struct armnn::ElementwiseBinaryFunction<armnn::minimum<float>>;
// Comparison
-template struct armnn::ElementwiseFunction<std::equal_to<float>>;
-template struct armnn::ElementwiseFunction<std::greater<float>>;
-template struct armnn::ElementwiseFunction<std::greater_equal<float>>;
-template struct armnn::ElementwiseFunction<std::less<float>>;
-template struct armnn::ElementwiseFunction<std::less_equal<float>>;
-template struct armnn::ElementwiseFunction<std::not_equal_to<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::equal_to<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::greater<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::greater_equal<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::less<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::less_equal<float>>;
+template struct armnn::ElementwiseBinaryFunction<std::not_equal_to<float>>;
+
+// Unary
+template struct armnn::ElementwiseUnaryFunction<armnn::abs<float>>;
+template struct armnn::ElementwiseUnaryFunction<armnn::exp<float>>;
+template struct armnn::ElementwiseUnaryFunction<std::negate<float>>;
+template struct armnn::ElementwiseUnaryFunction<armnn::rsqrt<float>>;
+template struct armnn::ElementwiseUnaryFunction<armnn::sqrt<float>>;