darknet/src/activations.c

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#include "activations.h"
#include <math.h>
#include <stdio.h>
#include <string.h>
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char *get_activation_string(ACTIVATION a)
{
switch(a){
case SIGMOID:
return "sigmoid";
case RELU:
return "relu";
case RAMP:
return "ramp";
case LINEAR:
return "linear";
case TANH:
return "tanh";
default:
break;
}
return "relu";
}
ACTIVATION get_activation(char *s)
{
if (strcmp(s, "sigmoid")==0) return SIGMOID;
if (strcmp(s, "relu")==0) return RELU;
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if (strcmp(s, "linear")==0) return LINEAR;
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if (strcmp(s, "ramp")==0) return RAMP;
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if (strcmp(s, "tanh")==0) return TANH;
fprintf(stderr, "Couldn't find activation function %s, going with ReLU\n", s);
return RELU;
}
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float linear_activate(float x){return x;}
float sigmoid_activate(float x){return 1./(1. + exp(-x));}
float relu_activate(float x){return x*(x>0);}
float ramp_activate(float x){return x*(x>0)+.1*x;}
float tanh_activate(float x){return (exp(2*x)-1)/(exp(2*x)+1);}
float activate(float x, ACTIVATION a){
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switch(a){
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case LINEAR:
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return linear_activate(x);
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case SIGMOID:
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return sigmoid_activate(x);
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case RELU:
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return relu_activate(x);
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case RAMP:
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return ramp_activate(x);
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case TANH:
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return tanh_activate(x);
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}
return 0;
}
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void activate_array(float *x, const int n, const ACTIVATION a)
{
int i;
for(i = 0; i < n; ++i){
x[i] = activate(x[i], a);
}
}
float gradient(float x, ACTIVATION a){
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switch(a){
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case LINEAR:
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return 1;
case SIGMOID:
return (1.-x)*x;
case RELU:
return (x>0);
case RAMP:
return (x>0) + .1;
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case TANH:
return 1-x*x;
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}
return 0;
}
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void gradient_array(const float *x, const int n, const ACTIVATION a, float *delta)
{
int i;
for(i = 0; i < n; ++i){
delta[i] *= gradient(x[i], a);
}
}