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activation funcion: delete streaming

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Shin
2016-05-13 20:20:56 +02:00
parent 039ae57b92
commit 0fc209e4e9
2 changed files with 3 additions and 34 deletions
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12
include/NeuralNetwork/ActivationFunction/Sigmoid.h
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@@ -2,8 +2,7 @@
#include <cmath>
#include "./StreamingActivationFunction.h"
#include "../../sse_mathfun.h"
#include "./ActivationFunction.h"
namespace NeuralNetwork {
namespace ActivationFunction {
@@ -12,19 +11,14 @@ namespace ActivationFunction {
* @author Tomas Cernik (Tom.Cernik@gmail.com)
* @brief Class for computing sigmoid
*/
class Sigmoid: public StreamingActivationFunction {
class Sigmoid: public ActivationFunction {
public:
Sigmoid(const float lambdaP = -0.5): lambda(lambdaP) {}
inline virtual float derivatedOutput(const float &, const float &output) const override { return -lambda*output*(1.0f-output); }
inline virtual float operator()(const float &x) const override { return 1.0f / (1.0f +exp(lambda*x) ); };
inline virtual __m128 operator()(const __m128 &x) const override {
// exp_ps is extremly slow!
return _mm_div_ps(_mm_set1_ps(1.0),_mm_add_ps(exp_ps(_mm_mul_ps(_mm_set1_ps(lambda),x)),_mm_set1_ps(1.0)));
}
virtual ActivationFunction* clone() const override {
return new Sigmoid(lambda);
}

25
include/NeuralNetwork/ActivationFunction/StreamingActivationFunction.h
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@@ -1,25 +0,0 @@
#pragma once
#include <xmmintrin.h>
#include "./ActivationFunction.h"
namespace NeuralNetwork {
namespace ActivationFunction {
/**
* @author Tomas Cernik (Tom.Cernik@gmail.com)
* @brief Abstract class of activation function with support of SSE
*/
class StreamingActivationFunction : public ActivationFunction {
public:
using ActivationFunction::operator();
/**
* @brief Returns value of four outputs
* @param x is float[4], in every array value can be stored
*/
virtual __m128 operator()(const __m128 &x) const=0;
};
}
}