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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
parentb03471e2b0d604806773b540551cd047979b7b3b (diff)
use C macro to implement matrix template
Diffstat (limited to 'matrix')
-rw-r--r--matrix/generic/matrix.c132
-rw-r--r--matrix/generic/matrix.h9
-rw-r--r--matrix/init.c19
-rw-r--r--matrix/matrix.c26
-rw-r--r--matrix/matrix.lua15
5 files changed, 201 insertions, 0 deletions
diff --git a/matrix/generic/matrix.c b/matrix/generic/matrix.c
new file mode 100644
index 0000000..3bb12ef
--- /dev/null
+++ b/matrix/generic/matrix.c
@@ -0,0 +1,132 @@
+#ifdef MATRIX_GENERIC
+#include "../../common.h"
+#include "matrix.h"
+
+extern const char *nerv_matrix_tname;
+const char *nerv_float_matrix_tname = "nerv.FloatMatrix";
+
+void nerv_float_matrix_(data_free)(Matrix *self) {
+ if (--(*self->data_ref) == 0)
+ MATRIX_DATA_FREE(self->data.f);
+}
+
+void nerv_float_matrix_(data_retain)(Matrix *self) {
+ (*self->data_ref)++;
+}
+
+int nerv_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 = MATRIX_DATA_STRIDE(self->ncol);
+ self->data.f = MATRIX_DATA_ALLOC(self->stride * self->nrow);
+ self->data_ref = (long *)malloc(sizeof(long));
+ *self->data_ref = 0;
+ nerv_float_matrix_(data_retain)(self);
+ luaT_pushudata(L, self, nerv_float_matrix_tname);
+ return 1;
+}
+
+int nerv_float_matrix_(destroy)(lua_State *L) {
+ Matrix *self = luaT_checkudata(L, 1, nerv_float_matrix_tname);
+ nerv_float_matrix_(data_free)(self);
+ return 0;
+}
+
+int nerv_float_matrix_(get_elem)(lua_State *L);
+int nerv_float_matrix_(set_elem)(lua_State *L);
+
+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;
+ nerv_float_matrix_(data_retain)(self);
+ return prow;
+}
+
+static int nerv_float_matrix_(newindex)(lua_State *L) {
+ Matrix *self = luaT_checkudata(L, 1, nerv_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, nerv_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), nerv_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, nerv_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, nerv_float_matrix_tname);
+ lua_pushinteger(L, self->nrow);
+ return 1;
+}
+
+
+static const luaL_Reg nerv_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, nerv_float_matrix_tname, nerv_matrix_tname,
+ nerv_float_matrix_(new), nerv_float_matrix_(destroy), NULL);
+ luaL_register(L, NULL, nerv_float_matrix_(methods));
+ lua_pop(L, 1);
+}
+#endif
diff --git a/matrix/generic/matrix.h b/matrix/generic/matrix.h
new file mode 100644
index 0000000..d02b56e
--- /dev/null
+++ b/matrix/generic/matrix.h
@@ -0,0 +1,9 @@
+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;
diff --git a/matrix/init.c b/matrix/init.c
new file mode 100644
index 0000000..e251628
--- /dev/null
+++ b/matrix/init.c
@@ -0,0 +1,19 @@
+#include "../common.h"
+#include "generic/matrix.h"
+
+const char *nerv_matrix_tname = "nerv.Matrix";
+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, nerv_matrix_tname, NULL, NULL, NULL, NULL);
+ luaL_register(L, NULL, matrix_methods);
+ lua_pop(L, 1);
+ nerv_float_matrix_host_init(L);
+}
diff --git a/matrix/matrix.c b/matrix/matrix.c
new file mode 100644
index 0000000..3a593e5
--- /dev/null
+++ b/matrix/matrix.c
@@ -0,0 +1,26 @@
+#define MATRIX_DATA_FREE(ptr) free(ptr)
+#define MATRIX_DATA_ALLOC(size) malloc(size)
+#define MATRIX_DATA_STRIDE(ncol) (sizeof(float) * (ncol))
+#define MATRIX_GENERIC
+#define nerv_float_matrix_(NAME) nerv_float_matrix_host_ ## NAME
+#include "generic/matrix.c"
+
+int nerv_float_matrix_(get_elem)(lua_State *L) {
+ Matrix *self = luaT_checkudata(L, 1, nerv_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, nerv_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;
+}
diff --git a/matrix/matrix.lua b/matrix/matrix.lua
new file mode 100644
index 0000000..7aa1f12
--- /dev/null
+++ b/matrix/matrix.lua
@@ -0,0 +1,15 @@
+function nerv.FloatMatrix:__tostring__()
+ local ncol = self:ncol()
+ local nrow = self:nrow()
+ local i = 0
+ local strt = {}
+ for row = 0, nrow - 1 do
+ for col = 0, ncol - 1 do
+ table.insert(strt, string.format("%f ", self:get_elem(i)))
+ i = i + 1
+ end
+ table.insert(strt, "\n")
+ end
+ table.insert(strt, string.format("[Float Matrix %d x %d]", nrow, ncol))
+ return table.concat(strt)
+end