1 //
2 // Copyright © 2019 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5
6 #include "ClArgMinMaxWorkload.hpp"
7 #include "ClWorkloadUtils.hpp"
8
9 #include <aclCommon/ArmComputeTensorUtils.hpp>
10
11 #include <backendsCommon/CpuTensorHandle.hpp>
12
13 #include <armnnUtils/TensorUtils.hpp>
14 #include <armnn/utility/NumericCast.hpp>
15
16 #include <cl/ClTensorHandle.hpp>
17 #include <cl/ClLayerSupport.hpp>
18
19 namespace
20 {
CalcAclAxis(unsigned int numDimensions,unsigned int axisIndex)21 unsigned int CalcAclAxis(unsigned int numDimensions, unsigned int axisIndex)
22 {
23 return (numDimensions - axisIndex) - 1;
24 }
25
26 } //namespace
27
28 namespace armnn
29 {
30
ClArgMinMaxWorkloadValidate(const TensorInfo & input,const TensorInfo & output,const ArgMinMaxDescriptor & descriptor)31 arm_compute::Status ClArgMinMaxWorkloadValidate(const TensorInfo& input,
32 const TensorInfo& output,
33 const ArgMinMaxDescriptor& descriptor)
34 {
35 const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
36 const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
37
38 auto numDims = input.GetNumDimensions();
39 auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, descriptor.m_Axis);
40 int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
41
42 if (descriptor.m_Function == ArgMinMaxFunction::Max)
43 {
44 return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
45 arm_compute::ReductionOperation::ARG_IDX_MAX);
46 }
47 else
48 {
49 return arm_compute::CLArgMinMaxLayer::validate(&aclInput, aclAxis, &aclOutput,
50 arm_compute::ReductionOperation::ARG_IDX_MIN);
51 }
52 }
53
54
ClArgMinMaxWorkload(const ArgMinMaxQueueDescriptor & descriptor,const WorkloadInfo & info)55 ClArgMinMaxWorkload::ClArgMinMaxWorkload(const ArgMinMaxQueueDescriptor& descriptor,
56 const WorkloadInfo& info)
57 : BaseWorkload<ArgMinMaxQueueDescriptor>(descriptor, info)
58 {
59 arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
60 arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
61
62 auto numDims = info.m_InputTensorInfos[0].GetNumDimensions();
63 auto unsignedAxis = armnnUtils::GetUnsignedAxis(numDims, m_Data.m_Parameters.m_Axis);
64 int aclAxis = armnn::numeric_cast<int>(CalcAclAxis(numDims, unsignedAxis));
65
66 if (m_Data.m_Parameters.m_Function == ArgMinMaxFunction::Max)
67 {
68 m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MAX);
69 }
70 else
71 {
72 m_ArgMinMaxLayer.configure(&input, aclAxis, &output, arm_compute::ReductionOperation::ARG_IDX_MIN);
73 }
74 }
75
Execute() const76 void ClArgMinMaxWorkload::Execute() const
77 {
78 ARMNN_SCOPED_PROFILING_EVENT_CL("ClArgMinMaxWorkload_Execute");
79 RunClFunction(m_ArgMinMaxLayer, CHECK_LOCATION());
80 }
81
82 } //namespace armnn
83
84