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Diffstat (limited to 'src/backends/neon/workloads/NeonMergerWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonMergerWorkload.cpp | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonMergerWorkload.cpp b/src/backends/neon/workloads/NeonMergerWorkload.cpp new file mode 100644 index 0000000000..f82e24453a --- /dev/null +++ b/src/backends/neon/workloads/NeonMergerWorkload.cpp @@ -0,0 +1,84 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonMergerWorkload.hpp" +#include <armnn/ArmNN.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <neon/NeonTensorHandle.hpp> + + +namespace armnn +{ +using namespace armcomputetensorutils; + +arm_compute::Status NeonMergerWorkloadValidate(const std::vector<const TensorInfo*>& inputs, + const TensorInfo& output, + const MergerDescriptor& descriptor) + +{ + std::vector<arm_compute::TensorInfo> aclInputs; + for (const TensorInfo* input : inputs) + { + arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, armnn::DataLayout::NCHW); + aclInputs.emplace_back(aclInputInfo); + } + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + arm_compute::DataLayoutDimension aclAxis = arm_compute::DataLayoutDimension::WIDTH; + + std::vector<arm_compute::ITensorInfo*> aclInputPtrs; + for (arm_compute::ITensorInfo& input : aclInputs) + { + aclInputPtrs.emplace_back(&input); + } + + return arm_compute::NEConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis); + +} + +NeonMergerWorkload::NeonMergerWorkload( +const MergerQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<MergerQueueDescriptor>(descriptor, info) +{ + m_Execute = true; + + unsigned int innerAxisOrder = descriptor.m_Parameters.GetNumDimensions() - descriptor.m_Parameters.GetConcatAxis(); + + if (innerAxisOrder != 1) + { + m_Execute = false; + return; + } + + std::vector<arm_compute::ITensor *> aclInputs; + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(armnn::DataLayout::NCHW); + for (auto input : m_Data.m_Inputs) + { + arm_compute::ITensor& aclInput = boost::polymorphic_pointer_downcast<INeonTensorHandle>(input)->GetTensor(); + aclInput.info()->set_data_layout(aclDataLayout); + aclInputs.emplace_back(&aclInput); + } + arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<INeonTensorHandle>( + m_Data.m_Outputs[0])->GetTensor(); + output.info()->set_data_layout(aclDataLayout); + + arm_compute::DataLayoutDimension aclAxis = arm_compute::DataLayoutDimension::WIDTH; + + m_Layer.configure(aclInputs, &output, aclAxis); + + m_Layer.prepare(); +} + +void NeonMergerWorkload::Execute() const +{ + if (m_Execute) + { + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMergerWorkload_Execute"); + m_Layer.run(); + } +} + +} //namespace armnn + |