| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "ClConcatWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| #include <cl/ClTensorHandle.hpp> |
| #include <cl/ClLayerSupport.hpp> |
| |
| #include <arm_compute/core/Types.h> |
| |
| #include <boost/polymorphic_pointer_cast.hpp> |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| namespace |
| { |
| size_t CalcAxis(const OriginsDescriptor& desc) |
| { |
| return (desc.GetNumDimensions() - desc.GetConcatAxis()) - 1; |
| } |
| } //namespace |
| |
| arm_compute::Status ClConcatWorkloadValidate(const std::vector<const TensorInfo*>& inputs, |
| const TensorInfo& output, |
| const OriginsDescriptor& 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::CLConcatenateLayer::validate(aclInputPtrs, &aclOutputInfo, aclAxis); |
| } |
| |
| ClConcatWorkload::ClConcatWorkload(const ConcatQueueDescriptor& descriptor, const WorkloadInfo& info) |
| : BaseWorkload<ConcatQueueDescriptor>(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 concat function |
| allInputsAreSubtensors = false; |
| break; |
| } |
| } |
| |
| if (allInputsAreSubtensors) |
| { |
| // Can skip configuring the concat function since it's not executed |
| return; |
| } |
| |
| std::vector<arm_compute::ICLTensor *> aclInputs; |
| for (auto input : m_Data.m_Inputs) |
| { |
| arm_compute::ICLTensor& aclInput = boost::polymorphic_pointer_downcast<IClTensorHandle>(input)->GetTensor(); |
| aclInputs.emplace_back(&aclInput); |
| } |
| arm_compute::ICLTensor& output = boost::polymorphic_pointer_downcast<IClTensorHandle>( |
| m_Data.m_Outputs[0])->GetTensor(); |
| |
| // Create the layer function |
| m_Layer.reset(new arm_compute::CLConcatenateLayer()); |
| |
| // Configure input and output tensors |
| size_t aclAxis = CalcAxis(descriptor.m_Parameters); |
| m_Layer->configure(aclInputs, &output, aclAxis); |
| |
| // Prepare |
| m_Layer->prepare(); |
| } |
| |
| void ClConcatWorkload::Execute() const |
| { |
| if (m_Layer) |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClConcatWorkload_Execute"); |
| m_Layer->run(); |
| } |
| } |
| |
| } //namespace armnn |