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Diffstat (limited to 'src/backends/neon/workloads/NeonConcatWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConcatWorkload.cpp | 103 |
1 files changed, 103 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConcatWorkload.cpp b/src/backends/neon/workloads/NeonConcatWorkload.cpp new file mode 100644 index 0000000000..91f81090ce --- /dev/null +++ b/src/backends/neon/workloads/NeonConcatWorkload.cpp @@ -0,0 +1,103 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonConcatWorkload.hpp" + +#include "NeonWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <neon/NeonTensorHandle.hpp> + + + +namespace armnn +{ +using namespace armcomputetensorutils; + +namespace +{ +size_t CalcAxis(const armnn::MergerDescriptor& desc) +{ + return (desc.GetNumDimensions() - desc.GetConcatAxis()) - 1; +} +} //namespace + +arm_compute::Status NeonConcatWorkloadValidate(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); + std::vector<arm_compute::ITensorInfo*> aclInputPtrs; + for (arm_compute::ITensorInfo& input : aclInputs) + { + aclInputPtrs.emplace_back(&input); + } + + size_t aclAxis = CalcAxis(descriptor); + return arm_compute::NEConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis); +} + +NeonConcatWorkload::NeonConcatWorkload( +const MergerQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<MergerQueueDescriptor>(descriptor, info) +{ + bool allInputsAreSubtensors = true; + + // Check that all inputs are sub-tensors + for (auto input : descriptor.m_Inputs) + { + if (!input->GetParent()) + { + // Non sub-tensor input found so we need to execute the merger function + allInputsAreSubtensors = false; + break; + } + } + + if (allInputsAreSubtensors) + { + // Can skip configuring the merger function since it's not executed + return; + } + + std::vector<arm_compute::ITensor *> aclInputs; + for (auto input : m_Data.m_Inputs) + { + arm_compute::ITensor& aclInput = boost::polymorphic_pointer_downcast<INeonTensorHandle>(input)->GetTensor(); + aclInputs.emplace_back(&aclInput); + } + arm_compute::ITensor& output = boost::polymorphic_pointer_downcast<INeonTensorHandle>( + m_Data.m_Outputs[0])->GetTensor(); + + // Create the layer function + m_Layer.reset(new arm_compute::NEConcatenateLayer()); + + // Configure input and output tensors + size_t aclAxis = CalcAxis(descriptor.m_Parameters); + m_Layer->configure(aclInputs, &output, aclAxis); + + // Prepare + m_Layer->prepare(); +} + +void NeonConcatWorkload::Execute() const +{ + if (m_Layer) + { + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConcatWorkload_Execute"); + m_Layer->run(); + } +} + +} //namespace armnn + |