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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "ClL2NormalizationFloatWorkload.hpp"
7 #include <cl/ClTensorHandle.hpp>
8 #include <backendsCommon/CpuTensorHandle.hpp>
9 #include <aclCommon/ArmComputeUtils.hpp>
10 
11 #include "ClWorkloadUtils.hpp"
12 
13 namespace armnn
14 {
15 using namespace armcomputetensorutils;
16 
ClL2NormalizationWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const L2NormalizationDescriptor & descriptor)17 arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input,
18                                                       const TensorInfo& output,
19                                                       const L2NormalizationDescriptor& descriptor)
20 {
21     const arm_compute::TensorInfo aclInput  = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
22     const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
23 
24     int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
25 
26     return arm_compute::CLL2NormalizeLayer::validate(&aclInput, &aclOutput, axis, descriptor.m_Eps);
27 }
28 
ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor & descriptor,const WorkloadInfo & info)29 ClL2NormalizationFloatWorkload::ClL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor,
30                                                                const WorkloadInfo& info)
31     : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
32 {
33     m_Data.ValidateInputsOutputs("ClL2NormalizationFloatWorkload", 1, 1);
34 
35     arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
36     arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
37 
38     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
39     input.info()->set_data_layout(aclDataLayout);
40     output.info()->set_data_layout(aclDataLayout);
41 
42     int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
43 
44     m_Layer.configure(&input, &output, axis, m_Data.m_Parameters.m_Eps);
45 }
46 
Execute() const47 void ClL2NormalizationFloatWorkload::Execute() const
48 {
49     ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloatWorkload_Execute");
50     RunClFunction(m_Layer, CHECK_LOCATION());
51 }
52 
53 } //namespace armnn
54