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| author | josh minor <josh.minor@arm.com> | 2020-01-06 16:40:46 -0600 |
|---|---|---|
| committer | Derek Lamberti <derek.lamberti@arm.com> | 2020-01-23 14:29:14 +0000 |
| commit | 4a3c61091037e7e86e8b03bb060d8c1ab82731a9 (patch) | |
| tree | 928644023400ad5ac0c26b33dfff2f975567d6e8 /src/backends/reference/workloads/RefRsqrtWorkload.cpp | |
| 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/RefRsqrtWorkload.cpp')
| -rw-r--r-- | src/backends/reference/workloads/RefRsqrtWorkload.cpp | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/src/backends/reference/workloads/RefRsqrtWorkload.cpp b/src/backends/reference/workloads/RefRsqrtWorkload.cpp deleted file mode 100644 index fd6b9a3549..0000000000 --- a/src/backends/reference/workloads/RefRsqrtWorkload.cpp +++ /dev/null @@ -1,37 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "RefRsqrtWorkload.hpp" - -#include "Decoders.hpp" -#include "Encoders.hpp" -#include "RefWorkloadUtils.hpp" -#include "Rsqrt.hpp" - -#include <Profiling.hpp> - -namespace armnn -{ - -void RefRsqrtWorkload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefRsqrtWorkload_Execute"); - - const TensorInfo& inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]); - - std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map()); - Decoder<float>& decoder = *decoderPtr; - - const TensorInfo& outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]); - - std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, m_Data.m_Outputs[0]->Map()); - Encoder<float>& encoder = *encoderPtr; - - Rsqrt(decoder, - encoder, - GetTensorInfo(m_Data.m_Inputs[0])); -} - -} //namespace armnn |