diff options
author | Determinant <[email protected]> | 2015-05-15 02:36:55 +0800 |
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committer | Determinant <[email protected]> | 2015-05-15 02:36:55 +0800 |
commit | efb786d716363dde8f90ef0672f479790befc79c (patch) | |
tree | 1d7a6f07db9cae3fd65a437d3ca6ff398a2b684b /matrix.c | |
parent | b03471e2b0d604806773b540551cd047979b7b3b (diff) |
use C macro to implement matrix template
Diffstat (limited to 'matrix.c')
-rw-r--r-- | matrix.c | 172 |
1 files changed, 0 insertions, 172 deletions
diff --git a/matrix.c b/matrix.c deleted file mode 100644 index a58377f..0000000 --- a/matrix.c +++ /dev/null @@ -1,172 +0,0 @@ -#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); -} |