ArmNN
 24.02
RefLogSoftmaxWorkload.cpp
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1 //
2 // Copyright © 2019-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "Decoders.hpp"
9 #include "Encoders.hpp"
10 #include "LogSoftmax.hpp"
11 #include "RefWorkloadUtils.hpp"
12 
13 #include <Profiling.hpp>
14 
15 #include <armnn/utility/Assert.hpp>
16 
17 namespace armnn
18 {
19 
21 {
23 }
24 
26 {
27  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
28  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
29 }
30 
31 void RefLogSoftmaxWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
32 {
33  ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefLogSoftmaxWorkload_Execute");
34 
35  const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
36  const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
37 
38  std::unique_ptr<Decoder<float>> decoder = MakeDecoder<float>(inputInfo, inputs[0]->Map());
39  std::unique_ptr<Encoder<float>> encoder = MakeEncoder<float>(outputInfo, outputs[0]->Map());
40 
41  ARMNN_ASSERT(decoder != nullptr);
42  ARMNN_ASSERT(encoder != nullptr);
43 
44  LogSoftmax(*decoder, *encoder, inputInfo, m_Data.m_Parameters);
45 }
46 
47 } // namespace armnn
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::experimental::ExecutionData::m_Data
void * m_Data
Definition: ExecutionData.hpp:16
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::RefLogSoftmaxWorkload::ExecuteAsync
void ExecuteAsync(ExecutionData &executionData) override
Definition: RefLogSoftmaxWorkload.cpp:25
Profiling.hpp
armnn::LogSoftmax
void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)
Definition: LogSoftmax.cpp:29
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID
#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)
Creates a profiling event that uses GetGuid() and GetName() from the calling class.
Definition: RefWorkloadUtils.hpp:22
LogSoftmax.hpp
Assert.hpp
armnn::QueueDescriptorWithParameters::m_Parameters
LayerDescriptor m_Parameters
Definition: WorkloadData.hpp:66
armnn::RefLogSoftmaxWorkload::Execute
void Execute() const override
Definition: RefLogSoftmaxWorkload.cpp:20
armnn::GetTensorInfo
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
Definition: RefWorkloadUtils.hpp:33
armnn::QueueDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkloadData.hpp:27
RefWorkloadUtils.hpp
armnn::BaseWorkload< LogSoftmaxQueueDescriptor >::m_Data
LogSoftmaxQueueDescriptor m_Data
Definition: Workload.hpp:89
Decoders.hpp
armnn::LayerType::Map
@ Map
armnn::experimental::WorkingMemDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkingMemDescriptor.hpp:20
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::experimental::WorkingMemDescriptor
Definition: WorkingMemDescriptor.hpp:18
Encoders.hpp
RefLogSoftmaxWorkload.hpp
armnn::experimental::WorkingMemDescriptor::m_Outputs
std::vector< ITensorHandle * > m_Outputs
Definition: WorkingMemDescriptor.hpp:21
armnn::QueueDescriptor::m_Inputs
std::vector< ITensorHandle * > m_Inputs
Definition: WorkloadData.hpp:26
armnn::experimental::ExecutionData
Definition: ExecutionData.hpp:14