mirrors/tinn
1
0
Fork 0
mirror of https://github.com/glouw/tinn synced 2024-11-21 22:11:21 +03:00
Code Issues Packages Projects Releases Wiki Activity

more const correctness

Browse Source
This commit is contained in:
Gustav Louw 2018-04-03 13:08:27 -07:00
parent 975f45676e
commit 4b3a45af8d
2 changed files with 14 additions and 14 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

24
Tinn.c
View File

@ -6,19 +6,19 @@
#include <math.h>
// Error function.
static float err(float a, float b)
static float err(const float a, const float b)
{
return 0.5f * powf(a - b, 2.0f);
}
// Partial derivative of error function.
static float pderr(float a, float b)
static float pderr(const float a, const float b)
{
return a - b;
}
// Total error.
static float terr(const float* tg, const float* o, int size)
static float terr(const float* const tg, const float* const o, const int size)
{
float sum = 0.0f;
for(int i = 0; i < size; i++)
@ -27,13 +27,13 @@ static float terr(const float* tg, const float* o, int size)
}
// Activation function.
static float act(float a)
static float act(const float a)
{
return 1.0f / (1.0f + expf(-a));
}
// Partial derivative of activation function.
static float pdact(float a)
static float pdact(const float a)
{
return a * (1.0f - a);
}
@ -45,7 +45,7 @@ static float frand()
}
// Back propagation.
static void backwards(const Tinn t, const float* in, const float* tg, float rate)
static void backwards(const Tinn t, const float* const in, const float* const tg, float rate)
{
for(int i = 0; i < t.nhid; i++)
{
@ -66,7 +66,7 @@ static void backwards(const Tinn t, const float* in, const float* tg, float rate
}
// Forward propagation.
static void forewards(const Tinn t, const float* in)
static void forewards(const Tinn t, const float* const in)
{
// Calculate hidden layer neuron values.
for(int i = 0; i < t.nhid; i++)
@ -121,20 +121,20 @@ static void* ecalloc(const size_t nmemb, const size_t size)
return mem;
}
float* xpredict(const Tinn t, const float* in)
float* xpredict(const Tinn t, const float* const in)
{
forewards(t, in);
return t.o;
}
float xttrain(const Tinn t, const float* in, const float* tg, float rate)
float xttrain(const Tinn t, const float* const in, const float* const tg, float rate)
{
forewards(t, in);
backwards(t, in, tg, rate);
return terr(tg, t.o, t.nops);
}
Tinn xtbuild(int nips, int nhid, int nops)
Tinn xtbuild(const int nips, const int nhid, const int nops)
{
Tinn t;
// Tinn only supports one hidden layer so there are two biases.
@ -152,7 +152,7 @@ Tinn xtbuild(int nips, int nhid, int nops)
return t;
}
void xtsave(const Tinn t, const char* path)
void xtsave(const Tinn t, const char* const path)
{
FILE* const file = efopen(path, "w");
// Header.
@ -163,7 +163,7 @@ void xtsave(const Tinn t, const char* path)
fclose(file);
}
Tinn xtload(const char* path)
Tinn xtload(const char* const path)
{
FILE* const file = efopen(path, "r");
int nips = 0;

4
Tinn.h
View File

@ -30,10 +30,10 @@ Tinn xtbuild(int nips, int nhid, int nops);
float* xpredict(const Tinn, const float* in);
// Saves the tinn to disk.
void xtsave(const Tinn, const char* path);
void xtsave(Tinn, const char* path);
// Loads a new tinn from disk.
Tinn xtload(const char* path);
// Frees a tinn from the heap.
void xtfree(const Tinn);
void xtfree(Tinn);