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#ifdef NERV_GENERIC_CUMATRIX
#include "elem_type.h"
#define MATRIX_DATA_WRITE(L, data, idx, val) cuda_matrix_(write)(L, data, idx, val)
#define MATRIX_DATA_READ(L, data, idx) cuda_matrix_(read)(L, data, idx)
#define MATRIX_INIT(L) cuda_matrix_(init)(L)
#define MATRIX_BASE_TNAME nerv_matrix_cuda_tname
#define NERV_GENERIC_MATRIX
#define NERV_GENERIC_CUKERNEL
#include "../../lib/common.h"
#include "../../lib/matrix/generic/matrix.h"
#include "../../lib/matrix/generic/cumatrix.h"
static int nerv_matrix_(lua_add)(lua_State *L) {
Status status;
Matrix *c = luaT_checkudata(L, 1, nerv_matrix_(tname));
const Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
const Matrix *b = luaT_checkudata(L, 3, nerv_matrix_(tname));
MATRIX_ELEM alpha = luaL_checknumber(L, 4);
MATRIX_ELEM beta = luaL_checknumber(L, 5);
nerv_matrix_(add)(c, a, b, alpha, beta, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_get_cublas_op)(char ch) {
return (ch == 'T' || ch == 't') ? CUBLAS_OP_T : CUBLAS_OP_N;
}
static int nerv_matrix_(lua_mul)(lua_State *L) {
Status status;
Matrix *c = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
Matrix *b = luaT_checkudata(L, 3, nerv_matrix_(tname));
MATRIX_ELEM alpha = luaL_checknumber(L, 4);
MATRIX_ELEM beta = luaL_checknumber(L, 5);
int nargs = lua_gettop(L);
int ta = nargs > 5 ? nerv_matrix_(lua_get_cublas_op)(*luaL_checkstring(L, 6)) \
: CUBLAS_OP_N;
int tb = nargs > 6 ? nerv_matrix_(lua_get_cublas_op)(*luaL_checkstring(L, 7)) \
: CUBLAS_OP_N;
nerv_matrix_(mul)(c, a, b, alpha, beta, ta, tb, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_create)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = nerv_matrix_(create)(a->nrow, a->ncol, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_sigmoid)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
nerv_matrix_(sigmoid)(a, b, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_sigmoid_grad)(lua_State *L) {
Status status;
Matrix *nerr = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *err = luaT_checkudata(L, 2, nerv_matrix_(tname));
Matrix *output = luaT_checkudata(L, 3, nerv_matrix_(tname));
nerv_matrix_(sigmoid_grad)(nerr, err, output, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_softmax)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
Matrix *b = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *max_idx = nerv_matrix_(softmax)(b, a, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, max_idx, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_rowsum)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = nerv_matrix_(rowsum)(a, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_colsum)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = nerv_matrix_(colsum)(a, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_colsame)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
const Matrix *ref = luaT_checkudata(L, 2, nerv_matrix_(tname));
Matrix *b = nerv_matrix_(colsame)(a, ref, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_rowmax)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b = nerv_matrix_(rowmax)(a, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
return 1;
}
static int nerv_matrix_(lua_rowmax_idx)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
Matrix *b;
Matrix *idx;
nerv_matrix_(rowmax_idx)(a, &b, &idx, &status);
NERV_LUA_CHECK_STATUS(L, status);
luaT_pushudata(L, b, nerv_matrix_(tname));
luaT_pushudata(L, idx, nerv_matrix_(tname));
return 2;
}
static int nerv_matrix_(lua_add_row)(lua_State *L) {
Status status;
const Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
Matrix *b = luaT_checkudata(L, 1, nerv_matrix_(tname));
double beta = luaL_checknumber(L, 3);
nerv_matrix_(add_row)(b, a, beta, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_fill)(lua_State *L) {
Status status;
Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
double val = luaL_checknumber(L, 2);
nerv_matrix_(fill)(self, val, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_clip)(lua_State *L) {
Status status;
Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
double val_1 = luaL_checknumber(L, 2);
double val_2 = luaL_checknumber(L, 3);
nerv_matrix_(clip)(self, val_1, val_2, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
static int nerv_matrix_(lua_copy_fromd)(lua_State *L) {
Status status;
Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
const Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
int nargs = lua_gettop(L);
int b_begin = nargs > 2 ? luaL_checkinteger(L, 3) : 0;
int b_end = nargs > 3 ? luaL_checkinteger(L, 4) : b->nrow;
int a_begin = nargs > 4 ? luaL_checkinteger(L, 5) : 0;
nerv_matrix_(copy_fromd)(a, b, a_begin, b_begin, b_end, &status);
NERV_LUA_CHECK_STATUS(L, status);
return 0;
}
extern const
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