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authorDeterminant <[email protected]>2015-05-19 15:01:38 +0800
committerDeterminant <[email protected]>2015-05-19 15:01:38 +0800
commite9b8855c894daa4e6749acfe891f68b3ed8ed481 (patch)
tree5a3ea5e89bd475dc4312d379ffc7bf9121862dbb /matrix/generic/cumatrix.c
parent9b6606504241f27a9d42b96f535bf5f2c2918161 (diff)
add double precision matrix implementation
Diffstat (limited to 'matrix/generic/cumatrix.c')
-rw-r--r--matrix/generic/cumatrix.c143
1 files changed, 143 insertions, 0 deletions
diff --git a/matrix/generic/cumatrix.c b/matrix/generic/cumatrix.c
new file mode 100644
index 0000000..f0ef99d
--- /dev/null
+++ b/matrix/generic/cumatrix.c
@@ -0,0 +1,143 @@
+#ifdef NERV_GENERIC_CUMATRIX
+#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_INIT(L) cuda_matrix_(init)(L)
+#define NERV_GENERIC_MATRIX
+#define NERV_GENERIC_CUKERNEL
+#include "../../common.h"
+#include "../cukernel.h"
+#include "cuda.h"
+#include "cuda_runtime.h"
+#include "driver_types.h"
+#include "cublas_v2.h"
+
+static cublasHandle_t cublas_handle;
+
+Matrix *nerv_matrix_(new_)(long nrow, long ncol);
+static int nerv_matrix_(add)(lua_State *L) {
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ Matrix *b = luaT_checkudata(L, 2, nerv_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_matrix_(new_)(nrow, ncol);
+ MATRIX_ELEM alpha = 1.0f, beta = 1.0f;
+ NERV_CUBLAS_(geam)(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N,
+ ncol, 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));
+ luaT_pushudata(L, c, nerv_matrix_(tname));
+ return 1;
+}
+
+static int nerv_matrix_(mul)(lua_State *L) {
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
+ Matrix *c;
+ if (a->ncol != b->nrow)
+ nerv_error(L, "Wrong dimension of multipliers");
+ c = nerv_matrix_(new_)(a->nrow, b->ncol);
+ MATRIX_ELEM alpha = 1.0f, beta = 0.0f;
+ NERV_CUBLAS_(gemm)(cublas_handle, CUBLAS_OP_N, CUBLAS_OP_N,
+ b->ncol, a->nrow, b->nrow,
+ &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));
+ luaT_pushudata(L, c, nerv_matrix_(tname));
+ return 1;
+}
+
+static int nerv_matrix_(sigmoid)(lua_State *L) {
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ Matrix *b = nerv_matrix_(new_)(a->nrow, a->ncol);
+ cudak_(cuda_sigmoid)(a, b);
+ luaT_pushudata(L, b, nerv_matrix_(tname));
+ return 1;
+}
+
+static int nerv_matrix_(softmax)(lua_State *L) {
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ Matrix *max = nerv_matrix_(new_)(a->nrow, 1);
+ Matrix *dno = nerv_matrix_(new_)(a->nrow, 1);
+ Matrix *b = nerv_matrix_(new_)(a->nrow, a->ncol);
+ cudak_(cuda_colmax)(a, max);
+ cudak_(cuda_softmax_denominator)(a, max, dno);
+ cudak_(cuda_softmax_final)(a, max, dno, b);
+ 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_)(a->nrow, 1);
+ cudak_(cuda_colsum)(a, b);
+ luaT_pushudata(L, b, nerv_matrix_(tname));
+ return 1;
+}
+
+static int nerv_matrix_(colmax)(lua_State *L) {
+ Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+ Matrix *b = nerv_matrix_(new_)(a->nrow, 1);
+ cudak_(cuda_colmax)(a, b);
+ luaT_pushudata(L, b, nerv_matrix_(tname));
+ return 1;
+}
+
+static const luaL_Reg nerv_matrix_(extra_methods)[] = {
+ {"__add__", nerv_matrix_(add)},
+ {"__mul__", nerv_matrix_(mul)},
+ {"sigmoid", nerv_matrix_(sigmoid)},
+ {"softmax", nerv_matrix_(softmax)},
+ {"colsum", nerv_matrix_(colsum)},
+ {"colmax", nerv_matrix_(colmax)},
+ {NULL, NULL}
+};
+
+static void cuda_matrix_(init)(lua_State *L) {
+ luaN_append_methods(L, nerv_matrix_(extra_methods));
+ cublasCreate(&cublas_handle);
+}
+
+static void cuda_matrix_(free)(MATRIX_ELEM *ptr) {
+ cudaFree(ptr);
+}
+
+static void cuda_matrix_(alloc)(MATRIX_ELEM **dptr, size_t *stride,
+ long width, long height) {
+ cudaMallocPitch((void **)dptr, stride, width, height);
+}
+
+static MATRIX_ELEM cuda_matrix_(read)(MATRIX_ELEM *data, int idx) {
+ MATRIX_ELEM res;
+ 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);
+}
+
+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