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author | David Beck <david.beck@arm.com> | 2018-09-24 13:18:27 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | b4540bef0b0327683fe8e63f727c1212800dc2a9 (patch) | |
tree | e1ea8bb6ee981640a1c469ceb556ed648ffde411 /src/backends/reference/workloads/RefArithmeticWorkload.cpp | |
parent | 2d9dd36fb6bc20b370701ab15463359b9db35f18 (diff) | |
download | armnn-b4540bef0b0327683fe8e63f727c1212800dc2a9.tar.gz |
IVGCVSW-1898 : Ref backend folder structure
* Reference backend is renamed to backends/reference as per
https://confluence.arm.com/display/MLENG/Pluggable+backends
Change-Id: I27a13c274eb60995dfb459e3c49c0e2f60bcd32c
Diffstat (limited to 'src/backends/reference/workloads/RefArithmeticWorkload.cpp')
-rw-r--r-- | src/backends/reference/workloads/RefArithmeticWorkload.cpp | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/src/backends/reference/workloads/RefArithmeticWorkload.cpp b/src/backends/reference/workloads/RefArithmeticWorkload.cpp new file mode 100644 index 0000000000..6c39fa1186 --- /dev/null +++ b/src/backends/reference/workloads/RefArithmeticWorkload.cpp @@ -0,0 +1,69 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefArithmeticWorkload.hpp" +#include "ArithmeticFunction.hpp" +#include "RefWorkloadUtils.hpp" +#include "Profiling.hpp" +#include <vector> + +namespace armnn +{ + +template <typename ParentDescriptor, typename Functor> +void BaseFloat32ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString); + + auto data = Float32Workload<ParentDescriptor>::GetData(); + const TensorShape& inShape0 = GetTensorInfo(data.m_Inputs[0]).GetShape(); + const TensorShape& inShape1 = GetTensorInfo(data.m_Inputs[1]).GetShape(); + const TensorShape& outShape = GetTensorInfo(data.m_Outputs[0]).GetShape(); + + const float* inData0 = GetInputTensorDataFloat(0, data); + const float* inData1 = GetInputTensorDataFloat(1, data); + float* outData = GetOutputTensorDataFloat(0, data); + + ArithmeticFunction<Functor>(inShape0, inShape1, outShape, inData0, inData1, outData); +} + +template <typename ParentDescriptor, typename Functor> +void BaseUint8ArithmeticWorkload<ParentDescriptor, Functor>::ExecuteImpl(const char * debugString) const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, debugString); + + auto data = Uint8Workload<ParentDescriptor>::GetData(); + const TensorInfo& inputInfo0 = GetTensorInfo(data.m_Inputs[0]); + const TensorInfo& inputInfo1 = GetTensorInfo(data.m_Inputs[1]); + const TensorInfo& outputInfo = GetTensorInfo(data.m_Outputs[0]); + + auto dequant0 = Dequantize(GetInputTensorDataU8(0, data), inputInfo0); + auto dequant1 = Dequantize(GetInputTensorDataU8(1, data), inputInfo1); + + std::vector<float> results(outputInfo.GetNumElements()); + + ArithmeticFunction<Functor>(inputInfo0.GetShape(), + inputInfo1.GetShape(), + outputInfo.GetShape(), + dequant0.data(), + dequant1.data(), + results.data()); + + Quantize(GetOutputTensorDataU8(0, data), results.data(), outputInfo); +} + +} + +template class armnn::BaseFloat32ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>; +template class armnn::BaseUint8ArithmeticWorkload<armnn::AdditionQueueDescriptor, std::plus<float>>; + +template class armnn::BaseFloat32ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>; +template class armnn::BaseUint8ArithmeticWorkload<armnn::SubtractionQueueDescriptor, std::minus<float>>; + +template class armnn::BaseFloat32ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>; +template class armnn::BaseUint8ArithmeticWorkload<armnn::MultiplicationQueueDescriptor, std::multiplies<float>>; + +template class armnn::BaseFloat32ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>; +template class armnn::BaseUint8ArithmeticWorkload<armnn::DivisionQueueDescriptor, std::divides<float>>; |