1 //
2 // Copyright © 2019 Arm Ltd and Contributors. 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 <armnn/backends/TensorHandle.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 : NeonBaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info)
37 {
38 // Report Profiling Details
39 ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonInstanceNormalizationWorkload_Construct",
40 descriptor.m_Parameters,
41 info,
42 this->GetGuid());
43
44 m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1);
45
46 arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
47 arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
48
49 arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
50 input.info()->set_data_layout(aclDataLayout);
51 output.info()->set_data_layout(aclDataLayout);
52
53 m_Layer.configure(&input,
54 &output,
55 descriptor.m_Parameters.m_Gamma,
56 descriptor.m_Parameters.m_Beta,
57 descriptor.m_Parameters.m_Eps);
58 };
59
Execute() const60 void NeonInstanceNormalizationWorkload::Execute() const
61 {
62 ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonInstanceNormalizationWorkload_Execute", this->GetGuid());
63 m_Layer.run();
64 }
65
66 } // namespace armnn