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| author | Sadik Armagan <sadik.armagan@arm.com> | 2019-04-03 17:48:18 +0100 |
|---|---|---|
| committer | Sadik Armagan <sadik.armagan@arm.com> | 2019-04-08 15:48:28 +0000 |
| commit | 2e6dc3a1c5d47825535db7993ba77eb1596ae99b (patch) | |
| tree | 48e73fa1862d17534804d1699bedb76120e88c9f /src/backends/reference/workloads/ElementwiseFunction.cpp | |
| parent | 0324f48e64edb99a5c8d819394545d97e0c2ae97 (diff) | |
| download | armnn-2e6dc3a1c5d47825535db7993ba77eb1596ae99b.tar.gz | |
IVGCVSW-2861 Refactor the Reference Elementwise workload
* Refactor Reference Comparison workload
* Removed templating based on the DataType
* Implemented BaseIterator to do decode/encode
Change-Id: I18f299f47ee23772f90152c1146b42f07465e105
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Signed-off-by: Kevin May <kevin.may@arm.com>
Diffstat (limited to 'src/backends/reference/workloads/ElementwiseFunction.cpp')
| -rw-r--r-- | src/backends/reference/workloads/ElementwiseFunction.cpp | 34 |
1 files changed, 17 insertions, 17 deletions
diff --git a/src/backends/reference/workloads/ElementwiseFunction.cpp b/src/backends/reference/workloads/ElementwiseFunction.cpp index c8c25ef9e9..934a86217a 100644 --- a/src/backends/reference/workloads/ElementwiseFunction.cpp +++ b/src/backends/reference/workloads/ElementwiseFunction.cpp @@ -13,26 +13,26 @@ namespace armnn { -template <typename Functor, typename dataTypeInput, typename dataTypeOutput> -ElementwiseFunction<Functor, dataTypeInput, dataTypeOutput>::ElementwiseFunction(const TensorShape& inShape0, - const TensorShape& inShape1, - const TensorShape& outShape, - const dataTypeInput* inData0, - const dataTypeInput* inData1, - dataTypeOutput* outData) +template <typename Functor, typename DecoderOp, typename EncoderOp> +ElementwiseFunction<Functor, DecoderOp, EncoderOp>::ElementwiseFunction(const TensorShape& inShape0, + const TensorShape& inShape1, + const TensorShape& outShape, + DecoderOp& inData0, + DecoderOp& inData1, + EncoderOp& outData) { BroadcastLoop(inShape0, inShape1, outShape).Unroll(Functor(), 0, inData0, inData1, outData); } } //namespace armnn -template struct armnn::ElementwiseFunction<std::plus<float>, float, float>; -template struct armnn::ElementwiseFunction<std::minus<float>, float, float>; -template struct armnn::ElementwiseFunction<std::multiplies<float>, float, float>; -template struct armnn::ElementwiseFunction<std::divides<float>, float, float>; -template struct armnn::ElementwiseFunction<armnn::maximum<float>, float, float>; -template struct armnn::ElementwiseFunction<armnn::minimum<float>, float, float>; -template struct armnn::ElementwiseFunction<std::equal_to<float>, float ,uint8_t>; -template struct armnn::ElementwiseFunction<std::equal_to<uint8_t>, uint8_t, uint8_t>; -template struct armnn::ElementwiseFunction<std::greater<float>, float, uint8_t>; -template struct armnn::ElementwiseFunction<std::greater<uint8_t>, uint8_t, uint8_t>; +template struct armnn::ElementwiseFunction<std::plus<float>, armnn::Decoder, armnn::Encoder>; +template struct armnn::ElementwiseFunction<std::minus<float>, armnn::Decoder, armnn::Encoder>; +template struct armnn::ElementwiseFunction<std::multiplies<float>, armnn::Decoder, armnn::Encoder>; +template struct armnn::ElementwiseFunction<std::divides<float>, armnn::Decoder, armnn::Encoder>; +template struct armnn::ElementwiseFunction<armnn::maximum<float>, armnn::Decoder, armnn::Encoder>; +template struct armnn::ElementwiseFunction<armnn::minimum<float>, armnn::Decoder, armnn::Encoder>; + +template struct armnn::ElementwiseFunction<std::equal_to<float>, armnn::Decoder, armnn::ComparisonEncoder>; +template struct armnn::ElementwiseFunction<std::greater<float>, armnn::Decoder, armnn::ComparisonEncoder>; + |