From e7a86a4a3363993fb41b1ea62f23b3643b8b0c78 Mon Sep 17 00:00:00 2001 From: Francis Murtagh Date: Wed, 29 Aug 2018 12:42:10 +0100 Subject: IVGCVSW-1200 Division layer *IVGCVSW-1772 Create QueueDescriptors *IVGCVSW-1773 Add a CL implementation of the DivisionWorkload *IVGCVSW-1774 Add Neon implementation of the DivisionWorkload *IVGCVSW-1775 Add a Ref implementation of the DivisionWorkload *IVGCVSW-1776 Add a Division Layer * Added simple division unit tests with broadcasting Change-Id: I05751fb7f868789f6c06f91e8d25e52b4f12ab5e --- .../RefWorkloads/RefDivisionUint8Workload.cpp | 37 ++++++++++++++++++++++ 1 file changed, 37 insertions(+) create mode 100644 src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp (limited to 'src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp') diff --git a/src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp b/src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp new file mode 100644 index 0000000000..4354e70271 --- /dev/null +++ b/src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp @@ -0,0 +1,37 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "RefDivisionUint8Workload.hpp" + +#include "Division.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +#include + +namespace armnn +{ + +void RefDivisionUint8Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDivisionUint8Workload_Execute"); + + const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]); + const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]); + const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]); + + auto dequant0 = Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0); + auto dequant1 = Dequantize(GetInputTensorDataU8(1, m_Data), inputInfo1); + + std::vector results(outputInfo.GetNumElements()); + Division( + inputInfo0.GetShape(), inputInfo1.GetShape(), outputInfo.GetShape(), + dequant0.data(), dequant1.data(),results.data()); + + Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo); +} + +} //namespace armnn -- cgit v1.2.1