diff options
Diffstat (limited to 'matrix/generic/cumatrix.c')
| -rw-r--r-- | matrix/generic/cumatrix.c | 493 |
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 |