ArmNN
 21.02
RefActivationWorkload.cpp
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1 //
2 // Copyright © 2017 Arm Ltd. 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 {
20  ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefActivationWorkload_Execute");
21 
22  const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
23  const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
24 
25  Activation(*MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map()),
26  *MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map()),
27  inputInfo,
31 }
32 
33 } //namespace armnn
CPU Execution: Reference C++ kernels.
const ActivationQueueDescriptor m_Data
Definition: Workload.hpp:46
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)
Definition: Profiling.hpp:173
virtual void Execute() const override
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH, Elu).
Definition: Descriptors.hpp:50
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:52
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu, LeakyReLu, Abs, Sqrt, Square, Elu).
Definition: Descriptors.hpp:48