blob: f0cb846acf592def9d01ddf3747fa5ffed4442e6 [file] [log] [blame]
James Conroyaba90cd2020-11-06 16:28:18 +00001//
2// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "RefLogicalBinaryWorkload.hpp"
7
8#include "Decoders.hpp"
9#include "ElementwiseFunction.hpp"
10#include "Encoders.hpp"
11#include "RefWorkloadUtils.hpp"
12
13#include <Profiling.hpp>
14
15#include <armnn/TypesUtils.hpp>
16
17namespace armnn
18{
19
20RefLogicalBinaryWorkload::RefLogicalBinaryWorkload(const LogicalBinaryQueueDescriptor& desc,
21 const WorkloadInfo& info)
Finn Williams73c547d2022-02-15 20:47:34 +000022 : RefBaseWorkload<LogicalBinaryQueueDescriptor>(desc, info)
James Conroyaba90cd2020-11-06 16:28:18 +000023{}
24
Finn Williamsb8181f72021-04-07 10:23:21 +010025void RefLogicalBinaryWorkload::Execute() const
James Conroyaba90cd2020-11-06 16:28:18 +000026{
Finn Williamsb8181f72021-04-07 10:23:21 +010027 Execute(m_Data.m_Inputs, m_Data.m_Outputs);
James Conroyaba90cd2020-11-06 16:28:18 +000028}
29
Finn Williamsb8181f72021-04-07 10:23:21 +010030void RefLogicalBinaryWorkload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
31{
32 Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
33}
34
35void RefLogicalBinaryWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
James Conroyaba90cd2020-11-06 16:28:18 +000036{
37 ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefLogicalBinaryWorkload_Execute");
38
Finn Williamsb8181f72021-04-07 10:23:21 +010039 const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
40 const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
41 const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
James Conroyaba90cd2020-11-06 16:28:18 +000042
43 const TensorShape& inShape0 = inputInfo0.GetShape();
44 const TensorShape& inShape1 = inputInfo1.GetShape();
45 const TensorShape& outShape = outputInfo.GetShape();
46
Finn Williamsb8181f72021-04-07 10:23:21 +010047 std::unique_ptr<Decoder<InType>> input0 = MakeDecoder<InType>(inputInfo0, inputs[0]->Map());
48 std::unique_ptr<Decoder<InType>> input1 = MakeDecoder<InType>(inputInfo1, inputs[1]->Map());
49 std::unique_ptr<Encoder<OutType>> output = MakeEncoder<OutType>(outputInfo, outputs[0]->Map());
James Conroyaba90cd2020-11-06 16:28:18 +000050
51 using AndFunction = LogicalBinaryFunction<std::logical_and<bool>>;
52 using OrFunction = LogicalBinaryFunction<std::logical_or<bool>>;
53
54 switch (m_Data.m_Parameters.m_Operation)
55 {
56 case LogicalBinaryOperation::LogicalAnd:
57 {
Finn Williamsb8181f72021-04-07 10:23:21 +010058 AndFunction(inShape0, inShape1, outShape, *input0, *input1, *output);
James Conroyaba90cd2020-11-06 16:28:18 +000059 break;
60 }
61 case LogicalBinaryOperation::LogicalOr:
62 {
Finn Williamsb8181f72021-04-07 10:23:21 +010063 OrFunction(inShape0, inShape1, outShape, *input0, *input1, *output);
James Conroyaba90cd2020-11-06 16:28:18 +000064 break;
65 }
66 default:
67 {
68 throw InvalidArgumentException(std::string("Unsupported Logical Binary operation") +
69 GetLogicalBinaryOperationAsCString(m_Data.m_Parameters.m_Operation), CHECK_LOCATION());
70 }
71 }
72}
73
74} // namespace armnn