diff options
author | Determinant <[email protected]> | 2015-05-14 15:01:55 +0800 |
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committer | Determinant <[email protected]> | 2015-05-14 15:01:55 +0800 |
commit | f48dc493b5b77fd4e4472dd6c78b7542a4884129 (patch) | |
tree | 0b7a0f95df28fc100fc1fd252ce1d0215d19150d /matrix.c | |
parent | 46ccec6d5ad057476e945afa34981f7e8d732547 (diff) |
add basic matrix implementation
Diffstat (limited to 'matrix.c')
-rw-r--r-- | matrix.c | 95 |
1 files changed, 95 insertions, 0 deletions
diff --git a/matrix.c b/matrix.c new file mode 100644 index 0000000..9d93dba --- /dev/null +++ b/matrix.c @@ -0,0 +1,95 @@ +#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; + } storage; /* pointer to actual storage */ +} Matrix; + +const char *float_matrix_tname = "nerv.FloatMatrix"; +const char *matrix_tname = "nerv.Matrix"; + +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->nrow; + self->storage.f = (float *)malloc(self->stride * self->ncol); + 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); + free(self->storage.f); + fprintf(stderr, "[debug] destroyted\n"); + 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->storage.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->storage.f[idx] = v; + return 0; +} + +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}, + {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); +} |