ArmNN
 22.02
RefPreluWorkload.cpp
Go to the documentation of this file.
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
6 #include "RefPreluWorkload.hpp"
7 
8 #include "RefWorkloadUtils.hpp"
9 #include "PreluImpl.hpp"
10 
11 #include <Profiling.hpp>
12 
13 namespace armnn
14 {
15 
17  const WorkloadInfo& info)
18  : RefBaseWorkload(descriptor, info)
19 {}
20 
22 {
24 }
25 
27 {
28  Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
29 }
30 
31 void RefPreluWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
32 {
33  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefPreluWorkload_Execute");
34 
35  const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
36  const TensorInfo& alphaInfo = GetTensorInfo(inputs[1]);
37  const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
38 
39  std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
40  inputs[0]->Map());
41  std::unique_ptr<Decoder<float>> alphaDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]),
42  inputs[1]->Map());
43  std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
44  outputs[0]->Map());
45 
46  PreluImpl(inputInfo, alphaInfo, outputInfo, *inputDecoder, *alphaDecoder, *outputEncoder);
47 }
48 
49 } // namespace armnn
CPU Execution: Reference C++ kernels.
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:220
void Execute() const override
void PreluImpl(const TensorInfo &inputInfo, const TensorInfo &alphaInfo, const TensorInfo &outputInfo, Decoder< float > &inputData, Decoder< float > &alphaData, Encoder< float > &outputData)
Definition: PreluImpl.cpp:13
std::vector< ITensorHandle * > m_Outputs
void ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor) override
RefPreluWorkload(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info)
Contains information about TensorInfos of a layer.
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers