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#include "common.h"
typedef struct Matrix {
long stride; /* size of a row */
long ncol, nrow, nmax; /* dimension of the matrix */
union {
float *f;
double *d;
} data; /* pointer to actual storage */
long *data_ref;
} Matrix;
const char *float_matrix_tname = "nerv.FloatMatrix";
const char *matrix_tname = "nerv.Matrix";
void float_matrix_data_free(Matrix *self) {
if (--(*self->data_ref) == 0)
free(self->data.f);
}
void float_matrix_data_retain(Matrix *self) {
(*self->data_ref)++;
}
int float_matrix_new(lua_State *L) {
Matrix *self = (Matrix *)malloc(sizeof(Matrix));
self->nrow = luaL_checkinteger(L, 1);
self->ncol = luaL_checkinteger(L, 2);
self->nmax = self->nrow * self->ncol;
self->stride = sizeof(float) * self->ncol;
self->data.f = (float *)malloc(self->stride * self->nrow);
self->data_ref = (long *)malloc(sizeof(long));
*self->data_ref = 0;
float_matrix_data_retain(self);
luaT_pushudata(L, self, float_matrix_tname);
return 1;
}
int float_matrix_destroy(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
float_matrix_data_free(self);
return 0;
}
int nerv_float_matrix_get_elem(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
int idx = luaL_checkinteger(L, 2);
if (idx < 0 || idx >= self->nmax)
nerv_error(L, "index must be within range [0, %d)", self->nmax);
lua_pushnumber(L, self->data.f[idx]);
return 1;
}
int nerv_float_matrix_set_elem(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
int idx = luaL_checkinteger(L, 2);
float v = luaL_checknumber(L, 3);
long upper = self->nrow * self->ncol;
if (idx < 0 || idx >= self->nmax)
nerv_error(L, "index must be within range [0, %d)", self->nmax);
self->data.f[idx] = v;
return 0;
}
static Matrix *nerv_float_matrix_getrow(Matrix *self, int row) {
Matrix *prow = (Matrix *)malloc(sizeof(Matrix));
prow->ncol = self->ncol;
prow->nrow = 1;
prow->stride = self->stride;
prow->nmax = prow->ncol;
prow->data.f = (float *)((char *)self->data.f + row * self->stride);
prow->data_ref = self->data_ref;
float_matrix_data_retain(self);
return prow;
}
static int nerv_float_matrix_newindex(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
if (lua_isnumber(L, 2))
{
int idx = luaL_checkinteger(L, 2);
if (self->nrow == 1)
{
if (idx < 0 || idx >= self->ncol)
nerv_error(L, "index must be within range [0, %d)", self->ncol);
self->data.f[idx] = luaL_checknumber(L, 3);
}
else
nerv_error(L, "cannot assign a scalar to row vector");
lua_pushboolean(L, 1);
return 2;
}
else
{
lua_pushboolean(L, 0);
return 1;
}
}
static int nerv_float_matrix_index(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
if (lua_isnumber(L, 2))
{
int idx = luaL_checkinteger(L, 2);
if (self->nrow == 1)
{
if (idx < 0 || idx >= self->ncol)
nerv_error(L, "index must be within range [0, %d)", self->ncol);
lua_pushnumber(L, self->data.f[idx]);
}
else
{
if (idx < 0 || idx >= self->nrow)
nerv_error(L, "index must be within range [0, %d)", self->nrow);
luaT_pushudata(L, nerv_float_matrix_getrow(self, idx), float_matrix_tname);
}
lua_pushboolean(L, 1);
return 2;
}
else
{
lua_pushboolean(L, 0);
return 1;
}
}
static int nerv_float_matrix_ncol(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
lua_pushinteger(L, self->ncol);
return 1;
}
static int nerv_float_matrix_nrow(lua_State *L) {
Matrix *self = luaT_checkudata(L, 1, float_matrix_tname);
lua_pushinteger(L, self->nrow);
return 1;
}
static const luaL_Reg float_matrix_methods[] = {
{"get_elem", nerv_float_matrix_get_elem},
{"set_elem", nerv_float_matrix_set_elem},
{"ncol", nerv_float_matrix_ncol},
{"nrow", nerv_float_matrix_nrow},
{"__index__", nerv_float_matrix_index},
{"__newindex__", nerv_float_matrix_newindex},
{NULL, NULL}
};
void nerv_float_matrix_init(lua_State *L) {
luaT_newmetatable(L, float_matrix_tname, matrix_tname,
float_matrix_new, float_matrix_destroy, NULL);
luaL_register(L, NULL, float_matrix_methods);
lua_pop(L, 1);
}
static const luaL_Reg matrix_methods[] = {
{"__tostring__", nerv_error_method_not_implemented },
{"__add__", nerv_error_method_not_implemented },
{"__sub__", nerv_error_method_not_implemented },
{"__mul__", nerv_error_method_not_implemented },
{NULL, NULL}
};
void nerv_matrix_init(lua_State *L) {
/* abstract class */
luaT_newmetatable(L, matrix_tname, NULL, NULL, NULL, NULL);
luaL_register(L, NULL, matrix_methods);
lua_pop(L, 1);
nerv_float_matrix_init(L);
}
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