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author | josh minor <josh.minor@arm.com> | 2020-01-06 16:40:46 -0600 |
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committer | Derek Lamberti <derek.lamberti@arm.com> | 2020-01-23 14:29:14 +0000 |
commit | 4a3c61091037e7e86e8b03bb060d8c1ab82731a9 (patch) | |
tree | 928644023400ad5ac0c26b33dfff2f975567d6e8 /src/backends/reference/workloads/ElementwiseFunction.hpp | |
parent | 190a39a4a9598e42b636ae4ab843761884148160 (diff) | |
download | armnn-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.hpp')
-rw-r--r-- | src/backends/reference/workloads/ElementwiseFunction.hpp | 26 |
1 files changed, 19 insertions, 7 deletions
diff --git a/src/backends/reference/workloads/ElementwiseFunction.hpp b/src/backends/reference/workloads/ElementwiseFunction.hpp index fd1fab0690..8259ba5ac7 100644 --- a/src/backends/reference/workloads/ElementwiseFunction.hpp +++ b/src/backends/reference/workloads/ElementwiseFunction.hpp @@ -12,17 +12,29 @@ namespace armnn { template <typename Functor> -struct ElementwiseFunction +struct ElementwiseBinaryFunction { using OutType = typename Functor::result_type; using InType = typename Functor::first_argument_type; - ElementwiseFunction(const TensorShape& inShape0, - const TensorShape& inShape1, - const TensorShape& outShape, - armnn::Decoder<InType>& inData0, - armnn::Decoder<InType>& inData1, - armnn::Encoder<OutType>& outData); + ElementwiseBinaryFunction(const TensorShape& inShape0, + const TensorShape& inShape1, + const TensorShape& outShape, + Decoder<InType>& inData0, + Decoder<InType>& inData1, + Encoder<OutType>& outData); +}; + +template <typename Functor> +struct ElementwiseUnaryFunction +{ + using OutType = typename Functor::result_type; + using InType = typename Functor::argument_type; + + ElementwiseUnaryFunction(const TensorShape& inShape, + const TensorShape& outShape, + Decoder<InType>& inData, + Encoder<OutType>& outData); }; } //namespace armnn |