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authorDeterminant <[email protected]>2015-05-15 02:36:55 +0800
committerDeterminant <[email protected]>2015-05-15 02:36:55 +0800
commitefb786d716363dde8f90ef0672f479790befc79c (patch)
tree1d7a6f07db9cae3fd65a437d3ca6ff398a2b684b /matrix.c
parentb03471e2b0d604806773b540551cd047979b7b3b (diff)
use C macro to implement matrix template
Diffstat (limited to 'matrix.c')
-rw-r--r--matrix.c172
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);
-}