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author | Francis Murtagh <francis.murtagh@arm.com> | 2018-08-29 12:42:10 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-09-17 17:21:23 +0100 |
commit | e7a86a4a3363993fb41b1ea62f23b3643b8b0c78 (patch) | |
tree | 6d054cae92a13412129525e4f9ea441e7d8c6b73 /src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp | |
parent | a68241066c3e797dab70f515d2c55aaa74abf564 (diff) | |
download | armnn-e7a86a4a3363993fb41b1ea62f23b3643b8b0c78.tar.gz |
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
Diffstat (limited to 'src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp')
-rw-r--r-- | src/armnn/backends/RefWorkloads/RefDivisionUint8Workload.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
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 <vector> + +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<float> 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 |