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path: root/nerv/lib/matrix/generic/cukernel.cu
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Diffstat (limited to 'nerv/lib/matrix/generic/cukernel.cu')
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu18
1 files changed, 18 insertions, 0 deletions
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu
index 0e09cfa..93121dc 100644
--- a/nerv/lib/matrix/generic/cukernel.cu
+++ b/nerv/lib/matrix/generic/cukernel.cu
@@ -250,6 +250,14 @@ __global__ void cudak_(fill)(MATRIX_ELEM *a,
a[j + i * stride] = val;
}
+__global__ void cudak_(diagonalize)(MATRIX_ELEM *a,
+ int nrow, int ncol, int stride) {
+ int j = blockIdx.x * blockDim.x + threadIdx.x;
+ int i = blockIdx.y * blockDim.y + threadIdx.y;
+ if (i >= nrow || j >= ncol || i == j) return;
+ a[j + i * stride] = 0;
+}
+
__global__ void cudak_(clip)(MATRIX_ELEM *a,
int nrow, int ncol, int stride, double val_1, double val_2) {
int j = blockIdx.x * blockDim.x + threadIdx.x;
@@ -678,6 +686,16 @@ extern "C" {
cudaStreamSynchronize(0);
}
+ void cudak_(cuda_diagonalize)(Matrix *a) {
+ dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
+ dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
+ CEIL_DIV(a->nrow, threadsPerBlock.y));
+ cudak_(diagonalize)<<<numBlocks, threadsPerBlock>>> \
+ (MATRIX_ELEM_PTR(a), a->nrow, a->ncol,
+ a->stride / sizeof(MATRIX_ELEM));
+ cudaStreamSynchronize(0);
+ }
+
void cudak_(cuda_clip)(Matrix *a, double val_1, double val_2) {
dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),