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authorDeterminant <[email protected]>2015-05-28 16:14:21 +0800
committerDeterminant <[email protected]>2015-05-28 16:14:21 +0800
commite4dedc2992149d245ea65132131253072d3276b8 (patch)
tree31055890c6b662df9091dd7272556a69f216de28 /matrix/generic/cukernel.cu
parentc13115662e739b434f1071eb623a41a39d8b4985 (diff)
add mul_elem and log_elem; add dimension checking in cumatrix methods
Diffstat (limited to 'matrix/generic/cukernel.cu')
-rw-r--r--matrix/generic/cukernel.cu43
1 files changed, 43 insertions, 0 deletions
diff --git a/matrix/generic/cukernel.cu b/matrix/generic/cukernel.cu
index 517393e..0e3d3cf 100644
--- a/matrix/generic/cukernel.cu
+++ b/matrix/generic/cukernel.cu
@@ -6,6 +6,27 @@
#define CUDA_THREADS_N 16
#define CUDA_THREADS_NN (16 * 16)
#define CEIL_DIV(a, b) (((a) + (b) - 1) / (b))
+__global__ void cudak_(log_elem)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
+ int nrow, int ncol, int stride) {
+ int j = blockIdx.x * blockDim.x + threadIdx.x;
+ int i = blockIdx.y * blockDim.y + threadIdx.y;
+ long idx;
+ if (i >= nrow || j >= ncol) return;
+ idx = j + i * stride;
+ b[idx] = log(a[idx]);
+}
+
+__global__ void cudak_(mul_elem)(const MATRIX_ELEM *a, const MATRIX_ELEM *b,
+ MATRIX_ELEM *c,
+ int nrow, int ncol, int stride) {
+ int j = blockIdx.x * blockDim.x + threadIdx.x;
+ int i = blockIdx.y * blockDim.y + threadIdx.y;
+ long idx;
+ if (i >= nrow || j >= ncol) return;
+ idx = j + i * stride;
+ c[idx] = a[idx] * b[idx];
+}
+
__global__ void cudak_(sigmoid)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
int nrow, int ncol, int stride) {
int j = blockIdx.x * blockDim.x + threadIdx.x;
@@ -136,6 +157,28 @@ __global__ void cudak_(fill)(MATRIX_ELEM *a,
extern "C" {
#include "../cukernel.h"
+ void cudak_(cuda_log_elem)(const Matrix *a, Matrix *b) {
+ dim3 threadsPerBlock(CUDA_THREADS_N,
+ CUDA_THREADS_N);
+ dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+ CEIL_DIV(b->nrow, threadsPerBlock.y));
+ cudak_(log_elem)<<<numBlocks, threadsPerBlock>>> \
+ (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+ b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
+ }
+
+ void cudak_(cuda_mul_elem)(const Matrix *a, const Matrix *b,
+ Matrix *c) {
+ dim3 threadsPerBlock(CUDA_THREADS_N,
+ CUDA_THREADS_N);
+ dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+ CEIL_DIV(b->nrow, threadsPerBlock.y));
+ cudak_(mul_elem)<<<numBlocks, threadsPerBlock>>> \
+ (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+ MATRIX_ELEM_PTR(c),
+ b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
+ }
+
void cudak_(cuda_sigmoid)(const Matrix *a, Matrix *b) {
dim3 threadsPerBlock(CUDA_THREADS_N,
CUDA_THREADS_N);