ArmNN
 22.08
RefActivationWorkload.cpp
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1 //
2 // Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 
7 
8 #include "Activation.hpp"
9 #include "Decoders.hpp"
10 #include "Encoders.hpp"
11 #include "RefWorkloadUtils.hpp"
12 
13 #include "Profiling.hpp"
14 
15 namespace armnn
16 {
17 
19 {
21 }
22 
24 {
25  WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
26  Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
27 }
28 
29 void RefActivationWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
30 {
31  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefActivationWorkload_Execute");
32 
33  const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
34  const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
35 
36  Activation(*MakeDecoder<float>(inputInfo, inputs[0]->Map()),
37  *MakeEncoder<float>(outputInfo, outputs[0]->Map()),
38  inputInfo,
42 }
43 
44 
45 } //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
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:61
std::vector< ITensorHandle * > m_Outputs
std::vector< ITensorHandle * > m_Inputs
const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)
float32 helpers
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:63
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).
Definition: Descriptors.hpp:59
void ExecuteAsync(ExecutionData &executionData) override