| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // See LICENSE file in the project root for full license information. |
| // |
| |
| #include "ClL2NormalizationFloat32Workload.hpp" |
| #include "backends/ClTensorHandle.hpp" |
| #include "backends/CpuTensorHandle.hpp" |
| #include "backends/ArmComputeUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output) |
| { |
| const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output); |
| |
| arm_compute::NormalizationLayerInfo normalizationInfo = |
| CreateAclNormalizationLayerInfoForL2Normalization(input); |
| |
| return arm_compute::CLNormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo); |
| } |
| |
| ClL2NormalizationFloat32Workload::ClL2NormalizationFloat32Workload(const L2NormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("ClL2NormalizationFloat32Workload", 1, 1); |
| |
| arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0])); |
| } |
| |
| void ClL2NormalizationFloat32Workload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloat32Workload_Execute"); |
| m_Layer.run(); |
| } |
| |
| } //namespace armnn |
| |
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