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1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "NeonInstanceNormalizationWorkload.hpp"
7 
8 #include "NeonWorkloadUtils.hpp"
9 
10 #include <aclCommon/ArmComputeTensorUtils.hpp>
11 #include <backendsCommon/CpuTensorHandle.hpp>
12 #include <neon/NeonTensorHandle.hpp>
13 
14 using namespace armnn::armcomputetensorutils;
15 
16 namespace armnn
17 {
18 
NeonInstanceNormalizationWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const InstanceNormalizationDescriptor & descriptor)19 arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo& input,
20                                                               const TensorInfo& output,
21                                                               const InstanceNormalizationDescriptor& descriptor)
22 {
23     const arm_compute::TensorInfo aclInputInfo  = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
24     const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
25 
26     return arm_compute::NEInstanceNormalizationLayer::validate(&aclInputInfo,
27                                                                &aclOutputInfo,
28                                                                descriptor.m_Gamma,
29                                                                descriptor.m_Beta,
30                                                                descriptor.m_Eps);
31 }
32 
NeonInstanceNormalizationWorkload(const InstanceNormalizationQueueDescriptor & descriptor,const WorkloadInfo & info)33 NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload(
34     const InstanceNormalizationQueueDescriptor& descriptor,
35     const WorkloadInfo& info)
36     : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info)
37 {
38     m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1);
39 
40     arm_compute::ITensor& input  = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
41     arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
42 
43     arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
44     input.info()->set_data_layout(aclDataLayout);
45     output.info()->set_data_layout(aclDataLayout);
46 
47     m_Layer.configure(&input,
48                       &output,
49                       descriptor.m_Parameters.m_Gamma,
50                       descriptor.m_Parameters.m_Beta,
51                       descriptor.m_Parameters.m_Eps);
52 };
53 
Execute() const54 void NeonInstanceNormalizationWorkload::Execute() const
55 {
56     ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonInstanceNormalizationWorkload_Execute");
57     m_Layer.run();
58 }
59 
60 } // namespace armnn