1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ClNormalizationFloatWorkload.hpp"
7 #include <cl/ClTensorHandle.hpp>
8 #include <backendsCommon/CpuTensorHandle.hpp>
9 #include <cl/ClLayerSupport.hpp>
10 #include <aclCommon/ArmComputeUtils.hpp>
11 #include <aclCommon/ArmComputeTensorUtils.hpp>
12 #include "ClWorkloadUtils.hpp"
13
14 using namespace armnn::armcomputetensorutils;
15
16 namespace armnn
17 {
18
ClNormalizationWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const NormalizationDescriptor & descriptor)19 arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input,
20 const TensorInfo& output,
21 const NormalizationDescriptor& 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 arm_compute::NormalizationLayerInfo layerInfo = BuildArmComputeNormalizationLayerInfo(descriptor);
27
28 return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
29 }
30
ClNormalizationFloatWorkload(const NormalizationQueueDescriptor & descriptor,const WorkloadInfo & info)31 ClNormalizationFloatWorkload::ClNormalizationFloatWorkload(const NormalizationQueueDescriptor& descriptor,
32 const WorkloadInfo& info)
33 : FloatWorkload<NormalizationQueueDescriptor>(descriptor, info)
34 {
35 m_Data.ValidateInputsOutputs("ClNormalizationFloatWorkload", 1, 1);
36
37 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
38 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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 arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters);
45
46 m_NormalizationLayer.configure(&input, &output, normalizationInfo);
47 };
48
Execute() const49 void ClNormalizationFloatWorkload::Execute() const
50 {
51 ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloatWorkload_Execute");
52 RunClFunction(m_NormalizationLayer, CHECK_LOCATION());
53 }
54
55 } //namespace armnn
56