From 83006367aeec856bf8e59231c78df5b1802e3138 Mon Sep 17 00:00:00 2001 From: Determinant Date: Sun, 17 May 2015 23:40:25 +0800 Subject: add addition and multiplication for cumatrix --- matrix/cumatrix.c | 92 ++++++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 87 insertions(+), 5 deletions(-) (limited to 'matrix/cumatrix.c') diff --git a/matrix/cumatrix.c b/matrix/cumatrix.c index 87ad57b..9c2878a 100644 --- a/matrix/cumatrix.c +++ b/matrix/cumatrix.c @@ -1,11 +1,91 @@ -#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 MATRIX_DATA_FREE(ptr) cuda_float_array_free(ptr) +#define MATRIX_DATA_ALLOC(dptr, stride, width, height) cuda_float_array_alloc(dptr, stride, width, height) +#define MATRIX_DATA_WRITE(data, idx, val) cuda_float_array_write(data, idx, val) +#define MATRIX_DATA_READ(data, idx) cuda_float_array_read(data, idx) +#define MATRIX_INIT(L) cuda_float_init(L) +#define NERV_GENERIC_MATRIX #define nerv_float_matrix_(NAME) nerv_float_matrix_cuda_ ## NAME -#include "generic/matrix.c" +#include "../common.h" +#include "generic/matrix.h" +#include "cuda.h" +#include "driver_types.h" +#include "cublas_v2.h" const char *nerv_float_matrix_(tname) = "nerv.FloatCuMatrix"; +static cublasHandle_t cublas_handle; + +Matrix *nerv_float_matrix_(new_)(long nrow, long ncol); +static int nerv_float_matrix_(add)(lua_State *L) { + Matrix *a = luaT_checkudata(L, 1, nerv_float_matrix_(tname)); + Matrix *b = luaT_checkudata(L, 2, nerv_float_matrix_(tname)); + Matrix *c; + long nrow, ncol; + if (!(a->nrow == b->nrow && a->ncol == b->ncol)) + nerv_error(L, "Matrices should be of the same dimension"); + nrow = a->nrow; + ncol = a->ncol; + c = nerv_float_matrix_(new_)(nrow, ncol); + float alpha = 1.0f, beta = 1.0f; + cublasSgeam(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N, + ncol, nrow, + &alpha, + a->data.f, a->stride / sizeof(float), + &beta, + b->data.f, b->stride / sizeof(float), + c->data.f, c->stride / sizeof(float)); + luaT_pushudata(L, c, nerv_float_matrix_(tname)); + return 1; +} + +static int nerv_float_matrix_(mul)(lua_State *L) { + Matrix *a = luaT_checkudata(L, 1, nerv_float_matrix_(tname)); + Matrix *b = luaT_checkudata(L, 2, nerv_float_matrix_(tname)); + Matrix *c; + if (a->ncol != b->nrow) + nerv_error(L, "Wrong dimension of multipliers"); + c = nerv_float_matrix_(new_)(a->nrow, b->ncol); + float alpha = 1.0f, beta = 0.0f; + cublasSgemm(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N, + b->ncol, a->nrow, b->nrow, + &alpha, + b->data.f, b->stride / sizeof(float), + a->data.f, a->stride / sizeof(float), + &beta, + c->data.f, c->stride / sizeof(float)); + luaT_pushudata(L, c, nerv_float_matrix_(tname)); + return 1; +} + +static const luaL_Reg nerv_float_matrix_(extra_methods)[] = { + {"__add__", nerv_float_matrix_(add)}, + {"__mul__", nerv_float_matrix_(mul)}, + {NULL, NULL} +}; + +static void cuda_float_init(lua_State *L) { + luaN_append_methods(L, nerv_float_matrix_(extra_methods)); + cublasCreate(&cublas_handle); +} + +static cuda_float_array_free(float *ptr) { + cudaFree(ptr); +} + +static cuda_float_array_alloc(float **dptr, long *stride, + long width, long height) { + cudaMallocPitch(dptr, stride, width, height); +} + +static float cuda_float_array_read(float *data, int idx) { + float res; + cudaMemcpy(&res, data + idx, sizeof(float), cudaMemcpyDeviceToHost); + return res; +} + +static void cuda_float_array_write(float *data, int idx, float val) { + cudaMemcpy(data + idx, &val, sizeof(float), cudaMemcpyHostToDevice); +} + int nerv_float_matrix_(get_elem)(lua_State *L) { return nerv_error_method_not_implemented(L); } @@ -13,3 +93,5 @@ int nerv_float_matrix_(get_elem)(lua_State *L) { int nerv_float_matrix_(set_elem)(lua_State *L) { return nerv_error_method_not_implemented(L); } + +#include "generic/matrix.c" -- cgit v1.2.3