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more const correctness

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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
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24
Tinn.c
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@ -6,19 +6,19 @@
#include <math.h> #include <math.h>
// Error function. // 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); return 0.5f * powf(a - b, 2.0f);
} }
// Partial derivative of error function. // Partial derivative of error function.
static float pderr(float a, float b) static float pderr(const float a, const float b)
{ {
return a - b; return a - b;
} }
// Total error. // 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; float sum = 0.0f;
for(int i = 0; i < size; i++) for(int i = 0; i < size; i++)
@ -27,13 +27,13 @@ static float terr(const float* tg, const float* o, int size)
} }
// Activation function. // Activation function.
static float act(float a) static float act(const float a)
{ {
return 1.0f / (1.0f + expf(-a)); return 1.0f / (1.0f + expf(-a));
} }
// Partial derivative of activation function. // Partial derivative of activation function.
static float pdact(float a) static float pdact(const float a)
{ {
return a * (1.0f - a); return a * (1.0f - a);
} }
@ -45,7 +45,7 @@ static float frand()
} }
// Back propagation. // 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++) 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. // 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. // Calculate hidden layer neuron values.
for(int i = 0; i < t.nhid; i++) 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; return mem;
} }
float* xpredict(const Tinn t, const float* in) float* xpredict(const Tinn t, const float* const in)
{ {
forewards(t, in); forewards(t, in);
return t.o; 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); forewards(t, in);
backwards(t, in, tg, rate); backwards(t, in, tg, rate);
return terr(tg, t.o, t.nops); 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 t;
// Tinn only supports one hidden layer so there are two biases. // 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; 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"); FILE* const file = efopen(path, "w");
// Header. // Header.
@ -163,7 +163,7 @@ void xtsave(const Tinn t, const char* path)
fclose(file); fclose(file);
} }
Tinn xtload(const char* path) Tinn xtload(const char* const path)
{ {
FILE* const file = efopen(path, "r"); FILE* const file = efopen(path, "r");
int nips = 0; int nips = 0;

4
Tinn.h
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@ -30,10 +30,10 @@ Tinn xtbuild(int nips, int nhid, int nops);
float* xpredict(const Tinn, const float* in); float* xpredict(const Tinn, const float* in);
// Saves the tinn to disk. // Saves the tinn to disk.
void xtsave(const Tinn, const char* path); void xtsave(Tinn, const char* path);
// Loads a new tinn from disk. // Loads a new tinn from disk.
Tinn xtload(const char* path); Tinn xtload(const char* path);
// Frees a tinn from the heap. // Frees a tinn from the heap.
void xtfree(const Tinn); void xtfree(Tinn);