| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClL2NormalizationFloatWorkload.hpp" |
| #include <cl/ClTensorHandle.hpp> |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| #include <aclCommon/ArmComputeUtils.hpp> |
| |
| #include "ClWorkloadUtils.hpp" |
| |
| namespace armnn |
| { |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor) |
| { |
| const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); |
| const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); |
| |
| unsigned int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0; |
| |
| return arm_compute::CLL2NormalizeLayer::validate(&aclInput, &aclOutput, axis); |
| } |
| |
| ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor, |
| const WorkloadInfo& info) |
| : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info) |
| { |
| m_Data.ValidateInputsOutputs("ClL2NormalizationFloatWorkload", 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(); |
| |
| arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); |
| input.info()->set_data_layout(aclDataLayout); |
| output.info()->set_data_layout(aclDataLayout); |
| |
| unsigned int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0; |
| |
| m_Layer.configure(&input, &output, axis); |
| } |
| |
| void ClL2NormalizationFloatWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloatWorkload_Execute"); |
| RunClFunction(m_Layer, CHECK_LOCATION()); |
| } |
| |
| } //namespace armnn |