mirror of https://github.com/pjreddie/darknet.git
88 lines
2.9 KiB
C
88 lines
2.9 KiB
C
#ifndef ACTIVATIONS_H
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#define ACTIVATIONS_H
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#include "darknet.h"
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#include "cuda.h"
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#include "math.h"
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ACTIVATION get_activation(char *s);
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char *get_activation_string(ACTIVATION a);
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float activate(float x, ACTIVATION a);
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float gradient(float x, ACTIVATION a);
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void gradient_array(const float *x, const int n, const ACTIVATION a, float *delta);
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void activate_array(float *x, const int n, const ACTIVATION a);
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#ifdef GPU
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void activate_array_gpu(float *x, int n, ACTIVATION a);
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void gradient_array_gpu(float *x, int n, ACTIVATION a, float *delta);
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#endif
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static inline float stair_activate(float x)
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{
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int n = floor(x);
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if (n%2 == 0) return floor(x/2.);
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else return (x - n) + floor(x/2.);
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}
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static inline float hardtan_activate(float x)
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{
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if (x < -1) return -1;
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if (x > 1) return 1;
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return x;
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}
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static inline float linear_activate(float x){return x;}
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static inline float logistic_activate(float x){return 1./(1. + exp(-x));}
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static inline float loggy_activate(float x){return 2./(1. + exp(-x)) - 1;}
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static inline float relu_activate(float x){return x*(x>0);}
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static inline float elu_activate(float x){return (x >= 0)*x + (x < 0)*(exp(x)-1);}
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static inline float selu_activate(float x){return (x >= 0)*1.0507*x + (x < 0)*1.0507*1.6732*(exp(x)-1);}
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static inline float relie_activate(float x){return (x>0) ? x : .01*x;}
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static inline float ramp_activate(float x){return x*(x>0)+.1*x;}
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static inline float leaky_activate(float x){return (x>0) ? x : .1*x;}
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static inline float tanh_activate(float x){return (exp(2*x)-1)/(exp(2*x)+1);}
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static inline float plse_activate(float x)
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{
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if(x < -4) return .01 * (x + 4);
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if(x > 4) return .01 * (x - 4) + 1;
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return .125*x + .5;
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}
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static inline float lhtan_activate(float x)
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{
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if(x < 0) return .001*x;
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if(x > 1) return .001*(x-1) + 1;
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return x;
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}
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static inline float lhtan_gradient(float x)
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{
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if(x > 0 && x < 1) return 1;
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return .001;
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}
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static inline float hardtan_gradient(float x)
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{
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if (x > -1 && x < 1) return 1;
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return 0;
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}
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static inline float linear_gradient(float x){return 1;}
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static inline float logistic_gradient(float x){return (1-x)*x;}
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static inline float loggy_gradient(float x)
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{
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float y = (x+1.)/2.;
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return 2*(1-y)*y;
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}
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static inline float stair_gradient(float x)
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{
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if (floor(x) == x) return 0;
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return 1;
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}
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static inline float relu_gradient(float x){return (x>0);}
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static inline float elu_gradient(float x){return (x >= 0) + (x < 0)*(x + 1);}
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static inline float selu_gradient(float x){return (x >= 0)*1.0507 + (x < 0)*(x + 1.0507*1.6732);}
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static inline float relie_gradient(float x){return (x>0) ? 1 : .01;}
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static inline float ramp_gradient(float x){return (x>0)+.1;}
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static inline float leaky_gradient(float x){return (x>0) ? 1 : .1;}
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static inline float tanh_gradient(float x){return 1-x*x;}
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static inline float plse_gradient(float x){return (x < 0 || x > 1) ? .01 : .125;}
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#endif
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