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authortxh18 <cloudygooseg@gmail.com>2015-12-02 15:23:54 +0800
committertxh18 <cloudygooseg@gmail.com>2015-12-02 15:23:54 +0800
commit41a841f3e0992a578cf5c8f82ae44a552a6f8b2f (patch)
tree0a5ba8d1530290fd91febcfe69986c96be0ac895 /nerv/lib/matrix/generic/cukernel.cu
parent0c286aa6237da9e8daa7db8ed1e3805a33312926 (diff)
changed thres_mask function of matrix to a more standard api
Diffstat (limited to 'nerv/lib/matrix/generic/cukernel.cu')
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu11
1 files changed, 6 insertions, 5 deletions
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu
index b092e4a..aa830b5 100644
--- a/nerv/lib/matrix/generic/cukernel.cu
+++ b/nerv/lib/matrix/generic/cukernel.cu
@@ -20,14 +20,14 @@ __global__ void cudak_(log_elem)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
b[idx] = log(tmp);
}
-__global__ void cudak_(thres_mask)(MATRIX_ELEM *a, double thres, double low, double high,
+__global__ void cudak_(thres_mask)(MATRIX_ELEM *a, MATRIX_ELEM *b, double thres, double low, double high,
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;
- if (a[idx] < thres)
+ if (b[idx] < thres)
a[idx] = low;
else
a[idx] = high;
@@ -389,7 +389,7 @@ extern "C" {
cudaStreamSynchronize(0);
}
- void cudak_(cuda_rand_uniform)(Matrix *a) {
+ void cudak_(cuda_rand_uniform)(const Matrix *a) {
#ifdef MATRIX_USE_FLOAT
curandGenerateUniform(*(a->curand_gen), MATRIX_ELEM_PTR(a), a->nrow * a->stride / sizeof(MATRIX_ELEM));
#endif
@@ -398,12 +398,13 @@ extern "C" {
#endif
}
- void cudak_(cuda_thres_mask)(const Matrix *a, double thres, double low, double high) {
+ void cudak_(cuda_thres_mask)(const Matrix *a, const Matrix *b, double thres, double low, double high) {
dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
CEIL_DIV(a->nrow, threadsPerBlock.y));
cudak_(thres_mask)<<<numBlocks, threadsPerBlock>>> \
- (MATRIX_ELEM_PTR(a), thres, low, high, a->nrow, a->ncol, a->stride / sizeof(MATRIX_ELEM));
+ (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+ thres, low, high, a->nrow, a->ncol, a->stride / sizeof(MATRIX_ELEM));
cudaStreamSynchronize(0);
}