| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| |
| #include "NeonL2NormalizationFloat32Workload.hpp" |
| #include "backends/ArmComputeUtils.hpp" |
| |
| namespace armnn |
| { |
| |
| arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); |
| |
| arm_compute::NormalizationLayerInfo normalizationInfo = |
| CreateAclNormalizationLayerInfoForL2Normalization(input); |
| |
| return arm_compute::NENormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo); |
| } |
| |
| NeonL2NormalizationFloat32Workload::NeonL2NormalizationFloat32Workload(const L2NormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) |
| : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info) |
| , m_Layer(memoryManager) |
| { |
| m_Data.ValidateInputsOutputs("NeonL2NormalizationFloat32Workload", 1, 1); |
| |
| arm_compute::ITensor& input = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0])); |
| } |
| |
| void NeonL2NormalizationFloat32Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloat32Workload_Execute"); |
| m_Layer.run(); |
| } |
| |
| } //namespace armnn |