1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "NeonL2NormalizationFloatWorkload.hpp"
7
8 #include "NeonWorkloadUtils.hpp"
9
10 #include <aclCommon/ArmComputeUtils.hpp>
11 #include <armnn/utility/PolymorphicDowncast.hpp>
12
13 #include <arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h>
14
15 namespace armnn
16 {
17 using namespace armcomputetensorutils;
18
NeonL2NormalizationWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const L2NormalizationDescriptor & descriptor)19 arm_compute::Status NeonL2NormalizationWorkloadValidate(const TensorInfo& input,
20 const TensorInfo& output,
21 const L2NormalizationDescriptor& descriptor)
22 {
23 const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
24 const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
25
26 int axis = (descriptor.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
27
28 return arm_compute::NEL2NormalizeLayer::validate(&aclInput, &aclOutput, axis, descriptor.m_Eps);
29 }
30
NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor & descriptor,const WorkloadInfo & info,std::shared_ptr<arm_compute::MemoryManagerOnDemand> & memoryManager)31 NeonL2NormalizationFloatWorkload::NeonL2NormalizationFloatWorkload(const L2NormalizationQueueDescriptor& descriptor,
32 const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
33 : FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
34 {
35 m_Data.ValidateInputsOutputs("NeonL2NormalizationFloatWorkload", 1, 1);
36
37 arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
38 arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
39
40 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
41 input.info()->set_data_layout(aclDataLayout);
42 output.info()->set_data_layout(aclDataLayout);
43
44 int axis = (m_Data.m_Parameters.m_DataLayout == DataLayout::NCHW) ? 2 : 0;
45
46 auto layer = std::make_unique<arm_compute::NEL2NormalizeLayer>(memoryManager);
47 layer->configure(&input, &output, axis, m_Data.m_Parameters.m_Eps);
48 m_Layer.reset(layer.release());
49 }
50
Execute() const51 void NeonL2NormalizationFloatWorkload::Execute() const
52 {
53 ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonL2NormalizationFloatWorkload_Execute");
54 m_Layer->run();
55 }
56
57 } //namespace armnn
58