From c6f6ac13a1cf00e440e998422f89b42c69b073a6 Mon Sep 17 00:00:00 2001 From: Determinant Date: Sun, 31 May 2015 10:22:40 +0800 Subject: add error detection for misc cuda functions --- matrix/generic/cumatrix.c | 100 ++++++++++++++++++++++++---------------------- matrix/generic/matrix.c | 16 ++++---- matrix/generic/mmatrix.c | 21 +++++----- 3 files changed, 72 insertions(+), 65 deletions(-) (limited to 'matrix') diff --git a/matrix/generic/cumatrix.c b/matrix/generic/cumatrix.c index c4ba937..7b0aa2a 100644 --- a/matrix/generic/cumatrix.c +++ b/matrix/generic/cumatrix.c @@ -2,11 +2,11 @@ #include "matrix.h" #include "elem_type.h" -#define MATRIX_DATA_FREE(ptr) cuda_matrix_(free)(ptr) -#define MATRIX_DATA_ALLOC(dptr, stride, width, height) \ - cuda_matrix_(alloc)(dptr, stride, width, height) -#define MATRIX_DATA_WRITE(data, idx, val) cuda_matrix_(write)(data, idx, val) -#define MATRIX_DATA_READ(data, idx) cuda_matrix_(read)(data, idx) +#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 @@ -17,28 +17,24 @@ #include "cuda_runtime.h" #include "driver_types.h" #include "cublas_v2.h" - -#define CHECK_SAME_DIMENSION(a, b) \ - do { \ - if (!(a->nrow == b->nrow && a->ncol == b->ncol)) \ - nerv_error(L, "Matrices should be of the same dimension"); \ - } while (0) +#include "../cuda_helper.h" static cublasHandle_t cublas_handle; -Matrix *nerv_matrix_(new_)(long nrow, long ncol); -void nerv_matrix_(data_free)(Matrix *self); +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_)(const Matrix *a, const Matrix *b, +static void nerv_matrix_(add_)(lua_State *L, const Matrix *a, const Matrix *b, const Matrix *c, MATRIX_ELEM alpha, MATRIX_ELEM beta) { - NERV_CUBLAS_(geam)(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N, + CUBLAS_SAFE_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)); + MATRIX_ELEM_PTR(c), c->stride / sizeof(MATRIX_ELEM))); } static int nerv_matrix_(add)(lua_State *L) { @@ -49,7 +45,7 @@ static int nerv_matrix_(add)(lua_State *L) { MATRIX_ELEM beta = luaL_checknumber(L, 5); /* alpha */ CHECK_SAME_DIMENSION(a, b); CHECK_SAME_DIMENSION(a, c); - nerv_matrix_(add_)(a, b, c, alpha, beta); + nerv_matrix_(add_)(L, a, b, c, alpha, beta); return 0; } @@ -78,19 +74,20 @@ static int nerv_matrix_(mul)(lua_State *L) { if (an != bm) nerv_error(L, "Wrong dimension of multipliers"); /* MATRIX_ELEM alpha = 1.0f, beta = 0.0f; */ - NERV_CUBLAS_(gemm)(cublas_handle, tb, ta, + CUBLAS_SAFE_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)); + MATRIX_ELEM_PTR(c), c->stride / sizeof(MATRIX_ELEM))); return 0; } static int nerv_matrix_(create)(lua_State *L) { Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname)); - Matrix *b = nerv_matrix_(new_)(a->nrow, a->ncol); + Matrix *b = nerv_matrix_(new_)(L, a->nrow, a->ncol); luaT_pushudata(L, b, nerv_matrix_(tname)); return 1; } @@ -116,20 +113,20 @@ static int nerv_matrix_(sigmoid_grad)(lua_State *L) { 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 = nerv_matrix_(new_)(a->nrow, 1); - Matrix *dno = nerv_matrix_(new_)(a->nrow, 1); + Matrix *max = nerv_matrix_(new_)(L, a->nrow, 1); + Matrix *dno = nerv_matrix_(new_)(L, a->nrow, 1); CHECK_SAME_DIMENSION(a, b); cudak_(cuda_rowmax)(a, max); cudak_(cuda_softmax_denominator)(a, max, dno); cudak_(cuda_softmax_final)(a, max, dno, b); - nerv_matrix_(data_free)(max); - nerv_matrix_(data_free)(dno); + nerv_matrix_(data_free)(L, max); + nerv_matrix_(data_free)(L, dno); return 0; } static int nerv_matrix_(rowsum)(lua_State *L) { Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname)); - Matrix *b = nerv_matrix_(new_)(a->nrow, 1); + Matrix *b = nerv_matrix_(new_)(L, a->nrow, 1); cudak_(cuda_rowsum)(a, b); luaT_pushudata(L, b, nerv_matrix_(tname)); return 1; @@ -137,7 +134,7 @@ static int nerv_matrix_(rowsum)(lua_State *L) { static int nerv_matrix_(colsum)(lua_State *L) { Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname)); - Matrix *b = nerv_matrix_(new_)(1, a->ncol); + Matrix *b = nerv_matrix_(new_)(L, 1, a->ncol); cudak_(cuda_colsum)(a, b); luaT_pushudata(L, b, nerv_matrix_(tname)); return 1; @@ -145,7 +142,7 @@ static int nerv_matrix_(colsum)(lua_State *L) { static int nerv_matrix_(rowmax)(lua_State *L) { Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname)); - Matrix *b = nerv_matrix_(new_)(a->nrow, 1); + Matrix *b = nerv_matrix_(new_)(L, a->nrow, 1); cudak_(cuda_rowmax)(a, b); luaT_pushudata(L, b, nerv_matrix_(tname)); return 1; @@ -175,10 +172,11 @@ 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)); CHECK_SAME_DIMENSION(a, b); - cudaMemcpy2D(MATRIX_ELEM_PTR(a), a->stride, + CUDA_SAFE_SYNC_CALL( + cudaMemcpy2D(MATRIX_ELEM_PTR(a), a->stride, MATRIX_ELEM_PTR(b), b->stride, sizeof(MATRIX_ELEM) * b->ncol, b->nrow, - cudaMemcpyDeviceToDevice); + cudaMemcpyDeviceToDevice)); return 0; } @@ -186,10 +184,11 @@ static int nerv_matrix_(copy_tod)(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); - cudaMemcpy2D(MATRIX_ELEM_PTR(b), b->stride, + CUDA_SAFE_SYNC_CALL( + cudaMemcpy2D(MATRIX_ELEM_PTR(b), b->stride, MATRIX_ELEM_PTR(a), a->stride, sizeof(MATRIX_ELEM) * a->ncol, a->nrow, - cudaMemcpyDeviceToDevice); + cudaMemcpyDeviceToDevice)); return 0; } @@ -198,10 +197,11 @@ 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); CHECK_SAME_DIMENSION(a, b); - cudaMemcpy2D(MATRIX_ELEM_PTR(a), a->stride, + CUDA_SAFE_SYNC_CALL( + cudaMemcpy2D(MATRIX_ELEM_PTR(a), a->stride, MATRIX_ELEM_PTR(b), b->stride, sizeof(MATRIX_ELEM) * b->ncol, b->nrow, - cudaMemcpyHostToDevice); + cudaMemcpyHostToDevice)); return 0; } @@ -209,24 +209,26 @@ 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); CHECK_SAME_DIMENSION(a, b); - cudaMemcpy2D(MATRIX_ELEM_PTR(b), b->stride, + CUDA_SAFE_SYNC_CALL( + cudaMemcpy2D(MATRIX_ELEM_PTR(b), b->stride, MATRIX_ELEM_PTR(a), a->stride, sizeof(MATRIX_ELEM) * a->ncol, a->nrow, - cudaMemcpyDeviceToHost); + cudaMemcpyDeviceToHost)); return 0; } static int nerv_matrix_(trans)(lua_State *L) { Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname)); - Matrix *b = nerv_matrix_(new_)(a->ncol, a->nrow); + Matrix *b = nerv_matrix_(new_)(L, a->ncol, a->nrow); MATRIX_ELEM alpha = 1, beta = 0; - NERV_CUBLAS_(geam)(cublas_handle, CUBLAS_OP_T, CUBLAS_OP_T, + CUBLAS_SAFE_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)); + MATRIX_ELEM_PTR(b), b->stride / sizeof(MATRIX_ELEM))); luaT_pushudata(L, b, nerv_matrix_(tname)); return 1; } @@ -277,23 +279,27 @@ static void cuda_matrix_(init)(lua_State *L) { cublasCreate(&cublas_handle); } -static void cuda_matrix_(free)(MATRIX_ELEM *ptr) { - cudaFree(ptr); +static void cuda_matrix_(free)(lua_State *L, MATRIX_ELEM *ptr) { + CUDA_SAFE_SYNC_CALL(cudaFree(ptr)); } -static void cuda_matrix_(alloc)(MATRIX_ELEM **dptr, size_t *stride, - long width, long height) { - cudaMallocPitch((void **)dptr, stride, width, height); +static void cuda_matrix_(alloc)(lua_State *L, MATRIX_ELEM **dptr, + size_t *stride, long width, long height) { + CUDA_SAFE_SYNC_CALL(cudaMallocPitch((void **)dptr, stride, width, height)); } -static MATRIX_ELEM cuda_matrix_(read)(MATRIX_ELEM *data, int idx) { +static MATRIX_ELEM cuda_matrix_(read)(lua_State *L, MATRIX_ELEM *data, + int idx) { MATRIX_ELEM res; - cudaMemcpy(&res, data + idx, sizeof(MATRIX_ELEM), cudaMemcpyDeviceToHost); + CUDA_SAFE_SYNC_CALL(cudaMemcpy(&res, data + idx, + sizeof(MATRIX_ELEM), cudaMemcpyDeviceToHost)); return res; } -static void cuda_matrix_(write)(MATRIX_ELEM *data, int idx, MATRIX_ELEM val) { - cudaMemcpy(data + idx, &val, sizeof(MATRIX_ELEM), cudaMemcpyHostToDevice); +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) { diff --git a/matrix/generic/matrix.c b/matrix/generic/matrix.c index d1cde88..e0098de 100644 --- a/matrix/generic/matrix.c +++ b/matrix/generic/matrix.c @@ -8,12 +8,12 @@ extern const char *nerv_matrix_(tname); extern const char *MATRIX_BASE_TNAME; -void nerv_matrix_(data_free)(Matrix *self) { +void nerv_matrix_(data_free)(lua_State *L, Matrix *self) { assert(*self->data_ref > 0); if (--(*self->data_ref) == 0) { /* free matrix data */ - MATRIX_DATA_FREE(MATRIX_ELEM_PTR(self)); + MATRIX_DATA_FREE(L, MATRIX_ELEM_PTR(self)); free(self->data_ref); free(self); } @@ -23,12 +23,12 @@ void nerv_matrix_(data_retain)(Matrix *self) { (*self->data_ref)++; } -Matrix *nerv_matrix_(new_)(long nrow, long ncol) { +Matrix *nerv_matrix_(new_)(lua_State *L, long nrow, long ncol) { Matrix *self = (Matrix *)malloc(sizeof(Matrix)); self->nrow = nrow; self->ncol = ncol; self->nmax = self->nrow * self->ncol; - MATRIX_DATA_ALLOC(&MATRIX_ELEM_PTR(self), &self->stride, + MATRIX_DATA_ALLOC(L, &MATRIX_ELEM_PTR(self), &self->stride, sizeof(MATRIX_ELEM) * self->ncol, self->nrow); self->data_ref = (long *)malloc(sizeof(long)); *self->data_ref = 0; @@ -37,7 +37,7 @@ Matrix *nerv_matrix_(new_)(long nrow, long ncol) { } int nerv_matrix_(new)(lua_State *L) { - luaT_pushudata(L, nerv_matrix_(new_)(luaL_checkinteger(L, 1), + luaT_pushudata(L, nerv_matrix_(new_)(L, luaL_checkinteger(L, 1), luaL_checkinteger(L, 2)), nerv_matrix_(tname)); return 1; @@ -45,7 +45,7 @@ int nerv_matrix_(new)(lua_State *L) { int nerv_matrix_(destroy)(lua_State *L) { Matrix *self = luaT_checkudata(L, 1, nerv_matrix_(tname)); - nerv_matrix_(data_free)(self); + nerv_matrix_(data_free)(L, self); return 1; } @@ -73,7 +73,7 @@ static int nerv_matrix_(newindex)(lua_State *L) { { if (idx < 0 || idx >= self->ncol) nerv_error(L, "index must be within range [0, %d)", self->ncol); - MATRIX_DATA_WRITE(MATRIX_ELEM_PTR(self), idx, + MATRIX_DATA_WRITE(L, MATRIX_ELEM_PTR(self), idx, luaL_checknumber(L, 3)); } else @@ -98,7 +98,7 @@ static int nerv_matrix_(index)(lua_State *L) { { if (idx < 0 || idx >= self->ncol) nerv_error(L, "index must be within range [0, %d)", self->ncol); - lua_pushnumber(L, MATRIX_DATA_READ(MATRIX_ELEM_PTR(self), idx)); + lua_pushnumber(L, MATRIX_DATA_READ(L, MATRIX_ELEM_PTR(self), idx)); } else { diff --git a/matrix/generic/mmatrix.c b/matrix/generic/mmatrix.c index 4b43572..3a9ae79 100644 --- a/matrix/generic/mmatrix.c +++ b/matrix/generic/mmatrix.c @@ -1,21 +1,22 @@ #ifdef NERV_GENERIC_MMATRIX #include "matrix.h" #include "elem_type.h" -#define MATRIX_DATA_FREE(ptr) free(ptr) -#define MATRIX_DATA_ALLOC(dptr, stride, width, height) \ - host_matrix_(alloc)(dptr, stride, width, height) -#define MATRIX_DATA_STRIDE(ncol) (sizeof(MATRIX_ELEM) * (ncol)) -#define MATRIX_DATA_WRITE(data, idx, val) (data[idx] = val) -#define MATRIX_DATA_READ(data, idx) (data[idx]) +#define MATRIX_DATA_FREE(L, ptr) free(ptr) +#define MATRIX_DATA_ALLOC(L, dptr, stride, width, height) \ + host_matrix_(alloc)(L, dptr, stride, width, height) +#define MATRIX_DATA_WRITE(L, data, idx, val) (data[idx] = val) +#define MATRIX_DATA_READ(L, data, idx) (data[idx]) #define MATRIX_INIT(L) host_matrix_(init)(L) #define MATRIX_BASE_TNAME nerv_matrix_host_tname #define NERV_GENERIC_MATRIX #include "../../common.h" #include "../../io/chunk_file.h" -static void host_matrix_(alloc)(MATRIX_ELEM **dptr, size_t *stride, - long width, long height) { - *dptr = (MATRIX_ELEM *)malloc(width * height); +static void host_matrix_(alloc)(lua_State *L, + MATRIX_ELEM **dptr, size_t *stride, + long width, long height) { + if ((*dptr = (MATRIX_ELEM *)malloc(width * height)) == NULL) + nerv_error(L, "mmatrix insufficient memory"); *stride = width; } @@ -53,7 +54,7 @@ int nerv_matrix_(load)(lua_State *L) { FILE *fp = chunk->fp; if (fscanf(fp, "%ld %ld", &nrow, &ncol) != 2) return 0; - self = nerv_matrix_(new_)(nrow, ncol); + self = nerv_matrix_(new_)(L, nrow, ncol); for (i = 0; i < nrow; i++) { MATRIX_ELEM *row = MATRIX_ROW_PTR(self, i); -- cgit v1.2.3