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author | Matthew Bentham <matthew.bentham@arm.com> | 2018-12-31 15:49:42 +0000 |
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committer | Eanna O Cathain Arm <eanna.ocathain@arm.com> | 2019-01-02 11:44:02 +0000 |
commit | fd899966cb881f5bb1ccce7903253a32d360419d (patch) | |
tree | 3ed188e119961aa9696186461d788307cab05bd7 /src/backends/neon/workloads/NeonMeanWorkload.cpp | |
parent | 6f37f83a27160948fee366b9f195c52f78cb88f0 (diff) | |
download | armnn-fd899966cb881f5bb1ccce7903253a32d360419d.tar.gz |
MLCE-82 Add Neon Mean support and unit tests
Factor out new BuildArmComputeReductionCoordinates function
from CL backend into ArmComputeTensorUtils.
Update NEON LayerSupport and WorkloadFactory objects
Change-Id: Icc975ec699199bffafbdb207323df509d35e1e04
Diffstat (limited to 'src/backends/neon/workloads/NeonMeanWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonMeanWorkload.cpp | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonMeanWorkload.cpp b/src/backends/neon/workloads/NeonMeanWorkload.cpp new file mode 100644 index 0000000000..d736e42e0e --- /dev/null +++ b/src/backends/neon/workloads/NeonMeanWorkload.cpp @@ -0,0 +1,53 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonMeanWorkload.hpp" + +#include <aclCommon/ArmComputeTensorUtils.hpp> + +#include <neon/NeonTensorHandle.hpp> + +#include "NeonWorkloadUtils.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +arm_compute::Status NeonMeanWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const MeanDescriptor& desc) +{ + const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(aclInputInfo.num_dimensions(), + input.GetNumDimensions(), + desc.m_Axis); + + return arm_compute::NEReduceMean::validate(&aclInputInfo, coords, desc.m_KeepDims, &aclOutputInfo); +} + +NeonMeanWorkload::NeonMeanWorkload(const MeanQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<MeanQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonMeanWorkload", 1, 1); + + arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + arm_compute::Coordinates coords = BuildArmComputeReductionCoordinates(input.info()->num_dimensions(), + info.m_InputTensorInfos[0].GetNumDimensions(), + m_Data.m_Parameters.m_Axis); + + m_Layer.configure(&input, coords, m_Data.m_Parameters.m_KeepDims, &output); +} + +void NeonMeanWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMeanWorkload_Execute"); + m_Layer.run(); +} + +} //namespace armnn |