aboutsummaryrefslogtreecommitdiff
path: root/matrix/generic/cumatrix.c
diff options
context:
space:
mode:
authorDeterminant <[email protected]>2015-06-22 19:01:29 +0800
committerDeterminant <[email protected]>2015-06-22 19:01:29 +0800
commit2497fd9e7a0fae5ee4887890d7a312e0e08a93b8 (patch)
tree382f97575bd2df9ee6abb1662b11b279fc22d72b /matrix/generic/cumatrix.c
parent196e9b48a3541caccdffc5743001cced70667091 (diff)
major change: use luarocks to manage project
Diffstat (limited to 'matrix/generic/cumatrix.c')
-rw-r--r--matrix/generic/cumatrix.c493
1 files changed, 0 insertions, 493 deletions
diff --git a/matrix/generic/cumatrix.c b/matrix/generic/cumatrix.c
deleted file mode 100644
index b5d1a35..0000000
--- a/matrix/generic/cumatrix.c
+++ /dev/null
@@ -1,493 +0,0 @@
-#ifdef NERV_GENERIC_CUMATRIX
-#include "matrix.h"
-#include "elem_type.h"
-
-#define MATRIX_DATA_FREE(L, ptr) cuda_matrix_(free)(L, ptr)
-#define MATRIX_DATA_ALLOC(L, dptr, stride, width, height) \
- cuda_matrix_(alloc)(L, dptr, stride, width, height)
-#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 "../../common.h"
-#include "../cukernel.h"
-#include "../cuda_helper.h"
-
-Matrix *nerv_matrix_(new_)(lua_State *L, long nrow, long ncol);
-void nerv_matrix_(data_free)(lua_State *L, Matrix *self);
-
-static void nerv_matrix_(add_)(lua_State *L, const Matrix *a, const Matrix *b,
- const Matrix *c,
- MATRIX_ELEM alpha, MATRIX_ELEM beta) {
- PROFILE_START
- CUBLAS_SAFE_SYNC_CALL(
- NERV_CUBLAS_(geam)(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N,
- a->ncol, a->nrow,
- &alpha,
- MATRIX_ELEM_PTR(a), a->stride / sizeof(MATRIX_ELEM),
- &beta,
- MATRIX_ELEM_PTR(b), b->stride / sizeof(MATRIX_ELEM),
- MATRIX_ELEM_PTR(c), c->stride / sizeof(MATRIX_ELEM)));
- PROFILE_STOP
-}
-
-static int nerv_matrix_(add)(lua_State *L) {
- 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);
- CHECK_SAME_DIMENSION(a, b);
- CHECK_SAME_DIMENSION(a, c);
- nerv_matrix_(add_)(L, a, b, c, alpha, beta);
- return 0;
-}
-
-static int nerv_matrix_(get_cublas_op)(char ch) {
- return (ch == 'T' || ch == 't') ? CUBLAS_OP_T : CUBLAS_OP_N;
-}
-
-static int nerv_matrix_(mul)(lua_State *L) {
-#define SWAP(a, b) \
- do { int t = (a); (a) = (b); (b) = t; } while (0)
-
- 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_(get_cublas_op)(*luaL_checkstring(L, 6)) \
- : CUBLAS_OP_N;
- int tb = nargs > 6 ? nerv_matrix_(get_cublas_op)(*luaL_checkstring(L, 7)) \
- : CUBLAS_OP_N;
- int am = a->nrow, an = a->ncol;
- int bm = b->nrow, bn = b->ncol;
- if (ta == CUBLAS_OP_T) SWAP(am, an);
- if (tb == CUBLAS_OP_T) SWAP(bm, bn);
- if (an != bm)
- nerv_error(L, "Wrong dimension of multipliers");
-/* MATRIX_ELEM alpha = 1.0f, beta = 0.0f; */
- /* Because matrix in Nerv is row-major, here b comes first */
- PROFILE_START
- CUBLAS_SAFE_SYNC_CALL(
- NERV_CUBLAS_(gemm)(cublas_handle, tb, ta,
- bn, am, bm,
- &alpha,
- MATRIX_ELEM_PTR(b), b->stride / sizeof(MATRIX_ELEM),
- MATRIX_ELEM_PTR(a), a->stride / sizeof(MATRIX_ELEM),
- &beta,
- MATRIX_ELEM_PTR(c), c->stride / sizeof(MATRIX_ELEM)));
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(create)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, a->nrow, a->ncol);
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(sigmoid)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
- CHECK_SAME_DIMENSION(a, b);
- PROFILE_START
- cudak_(cuda_sigmoid)(b, a);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(sigmoid_grad)(lua_State *L) {
- 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));
- CHECK_SAME_DIMENSION(nerr, err);
- CHECK_SAME_DIMENSION(nerr, output);
- PROFILE_START
- cudak_(cuda_sigmoid_grad)(output, err, nerr);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(softmax)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *max, *max_idx;
- Matrix *dno;
- CHECK_SAME_DIMENSION(a, b);
- max = nerv_matrix_(new_)(L, a->nrow, 1);
- max_idx = nerv_matrix_(new_)(L, a->nrow, 1);
- dno = nerv_matrix_(new_)(L, a->nrow, 1);
- PROFILE_START
- cudak_(cuda_rowmax_idx)(a, max, max_idx);
- cudak_(cuda_softmax_denominator)(a, max, dno);
- cudak_(cuda_softmax_final)(a, max, dno, b);
- PROFILE_STOP
- nerv_matrix_(data_free)(L, max);
- nerv_matrix_(data_free)(L, dno);
- luaT_pushudata(L, max_idx, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(rowsum)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, a->nrow, 1);
- PROFILE_START
- cudak_(cuda_rowsum)(a, b);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(colsum)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, 1, a->ncol);
- PROFILE_START
- cudak_(cuda_colsum)(a, b);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(colsame)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *ref = luaT_checkudata(L, 2, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, 1, a->ncol);
- CHECK_SAME_DIMENSION(a, ref);
- PROFILE_START
- cudak_(cuda_colsame)(a, ref, b);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(rowmax)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, a->nrow, 1);
- PROFILE_START
- cudak_(cuda_rowmax)(a, b);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(rowmax_idx)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, a->nrow, 1);
- Matrix *idx = nerv_matrix_(new_)(L, a->nrow, 1);
- PROFILE_START
- cudak_(cuda_rowmax_idx)(a, b, idx);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- luaT_pushudata(L, idx, nerv_matrix_(tname));
- return 2;
-}
-
-static int nerv_matrix_(add_row)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 1, nerv_matrix_(tname));
- double beta = luaL_checknumber(L, 3);
- if (a->ncol != b->ncol)
- nerv_error(L, "the number of columns is not the same");
- if (a->nrow != 1)
- nerv_error(L, "a row vector is expected");
- PROFILE_START
- cudak_(cuda_add_row)(a, b, beta);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(fill)(lua_State *L) {
- Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname));
- double val = luaL_checknumber(L, 2);
- PROFILE_START
- cudak_(cuda_fill)(self, val);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(copy_fromd)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- 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;
- if (!(0 <= b_begin && b_begin < b_end && b_end <= b->nrow &&
- a_begin + b_end - b_begin <= a->nrow))
- nerv_error(L, "invalid copy interval");
- if (a->ncol != b->ncol)
- nerv_error(L, "matrices should be of the same dimension");
- PROFILE_START
- CUDA_SAFE_SYNC_CALL(
- cudaMemcpy2D(MATRIX_ROW_PTR(a, a_begin), a->stride,
- MATRIX_ROW_PTR(b, b_begin), b->stride,
- sizeof(MATRIX_ELEM) * b->ncol, b_end - b_begin,
- cudaMemcpyDeviceToDevice));
- PROFILE_STOP
- return 0;
-}
-
-extern const char *MATRIX_CUMATRIX_HOST_TNAME;
-static int nerv_matrix_(copy_fromh)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, MATRIX_CUMATRIX_HOST_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;
- if (!(0 <= b_begin && b_begin < b_end && b_end <= b->nrow &&
- a_begin + b_end - b_begin <= a->nrow))
- nerv_error(L, "invalid copy interval");
- if (a->ncol != b->ncol)
- nerv_error(L, "matrices should be of the same dimension");
- PROFILE_START
- CUDA_SAFE_SYNC_CALL(
- cudaMemcpy2D(MATRIX_ROW_PTR(a, a_begin), a->stride,
- MATRIX_ROW_PTR(b, b_begin), b->stride,
- sizeof(MATRIX_ELEM) * b->ncol, b_end - b_begin,
- cudaMemcpyHostToDevice));
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(copy_toh)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, MATRIX_CUMATRIX_HOST_TNAME);
- int nargs = lua_gettop(L);
- int a_begin = nargs > 2 ? luaL_checkinteger(L, 3) : 0;
- int a_end = nargs > 3 ? luaL_checkinteger(L, 4) : a->nrow;
- int b_begin = nargs > 4 ? luaL_checkinteger(L, 5) : 0;
- if (!(0 <= a_begin && a_begin < a_end && a_end <= a->nrow &&
- b_begin + a_end - a_begin <= b->nrow))
- nerv_error(L, "invalid copy interval");
- if (b->ncol != a->ncol)
- nerv_error(L, "matrices should be of the same dimension");
- PROFILE_START
- CUDA_SAFE_SYNC_CALL(
- cudaMemcpy2D(MATRIX_ROW_PTR(b, b_begin), b->stride,
- MATRIX_ROW_PTR(a, a_begin), a->stride,
- sizeof(MATRIX_ELEM) * a->ncol, a_end - a_begin,
- cudaMemcpyDeviceToHost));
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(trans)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = nerv_matrix_(new_)(L, a->ncol, a->nrow);
- MATRIX_ELEM alpha = 1, beta = 0;
- /* FIXME: possible memory leak when lua error is raised */
- PROFILE_START
- CUBLAS_SAFE_SYNC_CALL(
- NERV_CUBLAS_(geam)(cublas_handle, CUBLAS_OP_T, CUBLAS_OP_T,
- a->nrow, a->ncol,
- &alpha,
- MATRIX_ELEM_PTR(a), a->stride / sizeof(MATRIX_ELEM),
- &beta,
- MATRIX_ELEM_PTR(a), a->stride / sizeof(MATRIX_ELEM),
- MATRIX_ELEM_PTR(b), b->stride / sizeof(MATRIX_ELEM)));
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-static int nerv_matrix_(mul_elem)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 3, nerv_matrix_(tname));
- Matrix *c = luaT_checkudata(L, 1, nerv_matrix_(tname));
- CHECK_SAME_DIMENSION(a, b);
- CHECK_SAME_DIMENSION(a, c);
- PROFILE_START
- cudak_(cuda_mul_elem)(a, b, c);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(log_elem)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 2, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 1, nerv_matrix_(tname));
- CHECK_SAME_DIMENSION(a, b);
- PROFILE_START
- cudak_(cuda_log_elem)(a, b);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(decompress)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b;
- int orig_col = luaL_checkinteger(L, 2);
- if (a->ncol != 1)
- nerv_error(L, "the compressed matrix must be a column vector");
- b = nerv_matrix_(new_)(L, a->nrow, orig_col);
- PROFILE_START
- cudak_(cuda_fill)(b, 0.0);
- cudak_(cuda_decompress)(a, b);
- PROFILE_STOP
- luaT_pushudata(L, b, nerv_matrix_(tname));
- return 1;
-}
-
-extern const char *nerv_matrix_host_int_tname;
-static int nerv_matrix_(copy_rows_fromh_by_idx)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, MATRIX_CUMATRIX_HOST_TNAME);
- Matrix *idx = luaT_checkudata(L, 3, nerv_matrix_host_int_tname);
- long nrow = a->nrow;
- int b_begin = lua_gettop(L) > 3 ? luaL_checkinteger(L, 4) : 0;
- if (!(0 <= b_begin && b_begin + nrow <= idx->ncol))
- nerv_error(L, "invalid copy interval");
- long *idx_ptr = idx->data.i;
- int i;
- if (idx->nrow != 1)
- nerv_error(L, "index should be a vector");
- if (a->ncol != b->ncol)
- nerv_error(L, "source/destination dimension mismatch");
- cudaStream_t *streams = (cudaStream_t*)malloc(sizeof(cudaStream_t) * nrow);
- for (i = 0; i < nrow; i++)
- {
- int src_row = idx_ptr[b_begin + i];
- if (!(0 <= src_row && src_row < b->nrow))
- nerv_error(L, "invalid index");
- CUDA_SAFE_CALL(cudaStreamCreate(streams + i));
- CUDA_SAFE_CALL(cudaMemcpyAsync(MATRIX_ROW_PTR(a, i),
- MATRIX_ROW_PTR(b, src_row),
- b->stride,
- cudaMemcpyHostToDevice, streams[i]));
- }
- for (i = 0; i < nrow; i++)
- {
- CUDA_SAFE_CALL(cudaStreamSynchronize(streams[i]));
- CUDA_SAFE_CALL(cudaStreamDestroy(streams[i]));
- }
- free(streams);
- return 0;
-}
-
-static int nerv_matrix_(expand_frm)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
- int context = luaL_checkinteger(L, 3);
- if (a->nrow != b->nrow)
- nerv_error(L, "mismatching number of frames");
- if (a->ncol != b->ncol * (context * 2 + 1))
- nerv_error(L, "the width should be 2 * context + 1");
- PROFILE_START
- cudak_(cuda_expand_frm)(b, a, context);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(rearrange_frm)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
- int step = luaL_checkinteger(L, 3);
- CHECK_SAME_DIMENSION(a, b);
- if (b->ncol % step)
- nerv_error(L, "the dimension of columns is not divisible by step");
- PROFILE_START
- cudak_(cuda_rearrange_frm)(b, a, step);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(scale_rows_by_col)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
- if (a->nrow != b->nrow)
- nerv_error(L, "the number of rows is not the same");
- if (b->ncol != 1)
- nerv_error(L, "a column vector is expected");
- PROFILE_START
- cudak_(cuda_scale_rows_by_col)(b, a);
- PROFILE_STOP
- return 0;
-}
-
-static int nerv_matrix_(scale_rows_by_row)(lua_State *L) {
- Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
- Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
- if (a->ncol != b->ncol)
- nerv_error(L, "the number of columns is not the same");
- if (b->nrow != 1)
- nerv_error(L, "a row vector is expected");
- PROFILE_START
- cudak_(cuda_scale_rows_by_row)(b, a);
- PROFILE_STOP
- return 0;
-}
-
-static const luaL_Reg nerv_matrix_(extra_methods)[] = {
- {"create", nerv_matrix_(create)},
- {"colsum", nerv_matrix_(colsum)},
- {"colsame", nerv_matrix_(colsame)},
- {"rowsum", nerv_matrix_(rowsum)},
- {"rowmax", nerv_matrix_(rowmax)},
- {"rowmax_idx", nerv_matrix_(rowmax_idx)},
- {"trans", nerv_matrix_(trans)},
- {"decompress", nerv_matrix_(decompress)},
- /* in-place calc */
- {"copy_fromh", nerv_matrix_(copy_fromh)},
- {"copy_fromd", nerv_matrix_(copy_fromd)},
- {"copy_toh", nerv_matrix_(copy_toh)},
- {"add", nerv_matrix_(add)},
- {"mul", nerv_matrix_(mul)},
- {"add_row", nerv_matrix_(add_row)},
- {"fill", nerv_matrix_(fill)},
- {"sigmoid", nerv_matrix_(sigmoid)},
- {"sigmoid_grad", nerv_matrix_(sigmoid_grad)},
- {"softmax", nerv_matrix_(softmax)},
- {"mul_elem", nerv_matrix_(mul_elem)},
- {"log_elem", nerv_matrix_(log_elem)},
- {"copy_rows_fromh_by_idx", nerv_matrix_(copy_rows_fromh_by_idx)},
- {"expand_frm", nerv_matrix_(expand_frm)},
- {"rearrange_frm", nerv_matrix_(rearrange_frm)},
- {"scale_rows_by_row", nerv_matrix_(scale_rows_by_row)},
- {"scale_rows_by_col", nerv_matrix_(scale_rows_by_col)},
- {NULL, NULL}
-};
-
-static void cuda_matrix_(init)(lua_State *L) {
- luaN_append_methods(L, nerv_matrix_(extra_methods));
-}
-
-static void cuda_matrix_(free)(lua_State *L, MATRIX_ELEM *ptr) {
- CUDA_SAFE_SYNC_CALL(cudaFree(ptr));
-}
-
-static void cuda_matrix_(alloc)(lua_State *L, MATRIX_ELEM **dptr,
- size_t *stride, long width, long height) {
- PROFILE_START
- CUDA_SAFE_SYNC_CALL(cudaMallocPitch((void **)dptr, stride, width, height));
- PROFILE_STOP
-}
-
-static MATRIX_ELEM cuda_matrix_(read)(lua_State *L, MATRIX_ELEM *data,
- int idx) {
- MATRIX_ELEM res;
- CUDA_SAFE_SYNC_CALL(cudaMemcpy(&res, data + idx,
- sizeof(MATRIX_ELEM), cudaMemcpyDeviceToHost));
- return res;
-}
-
-static void cuda_matrix_(write)(lua_State *L, MATRIX_ELEM *data,
- int idx, MATRIX_ELEM val) {
- CUDA_SAFE_SYNC_CALL(cudaMemcpy(data + idx, &val,
- sizeof(MATRIX_ELEM), cudaMemcpyHostToDevice));
-}
-
-int nerv_matrix_(get_elem)(lua_State *L) {
- return nerv_error_method_not_implemented(L);
-}
-
-int nerv_matrix_(set_elem)(lua_State *L) {
- return nerv_error_method_not_implemented(L);
-}
-
-#include "matrix.c"
-#endif