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authortxh18 <cloudygooseg@gmail.com>2015-12-22 13:34:10 +0800
committertxh18 <cloudygooseg@gmail.com>2015-12-22 13:34:10 +0800
commit9a172678f824351840283363161e8b38d2d5cfb2 (patch)
tree9bc7bc917aa78ac5e384695890857864e100e64c /nerv/lib/matrix/generic/cukernel.cu
parent95ef51432218683ec90fdbaa2e92007f4fbd4610 (diff)
give a update_select_rows a more proper name
Diffstat (limited to 'nerv/lib/matrix/generic/cukernel.cu')
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu30
1 files changed, 27 insertions, 3 deletions
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu
index 552f7a4..9244783 100644
--- a/nerv/lib/matrix/generic/cukernel.cu
+++ b/nerv/lib/matrix/generic/cukernel.cu
@@ -262,7 +262,7 @@ __global__ void cudak_(clip)(MATRIX_ELEM *a,
}
#ifdef __NERV_FUTURE_CUDA_7
-__global__ void cudak_(update_select_rows)(MATRIX_ELEM *c, const MATRIX_ELEM *a, const MATRIX_ELEM *idx,
+__global__ void cudak_(update_select_rows_by_rowidx)(MATRIX_ELEM *c, const MATRIX_ELEM *a, const MATRIX_ELEM *idx,
int nrow_a, int ncol_a, int nrow_c, int stride_c, int stride_a, double alpha, double beta) {
int j = blockIdx.x * blockDim.x + threadIdx.x;
int i = blockIdx.y * blockDim.y + threadIdx.y;
@@ -275,6 +275,20 @@ __global__ void cudak_(update_select_rows)(MATRIX_ELEM *c, const MATRIX_ELEM *a,
//c[j + i_c * stride_c] = c[j + i_c * stride_c] * (1 - beta * alpha) + a[j + i * stride_a] * alpha;
atomicAdd_nvidia(c + j + i_c * stride_c, c[j + i_c * stride_c] * (- beta * alpha) + a[j + i * stride_a] * alpha);
}
+
+__global__ void cudak_(update_select_rows_by_colidx)(MATRIX_ELEM *c, const MATRIX_ELEM *a, const MATRIX_ELEM *idx,
+ int nrow_a, int ncol_a, int nrow_c, int stride_c, int stride_a, int stride_idx, double alpha, double beta) {
+ int j = blockIdx.x * blockDim.x + threadIdx.x;
+ int i = blockIdx.y * blockDim.y + threadIdx.y;
+ if (i >= nrow_a || j >= ncol_a) return;
+ int i_c = lrintf(idx[stride_idx * i]);
+ if (i_c < 0 || i_c >= nrow_c) {
+ printf("ERROR inside kernel update_select_rows, i_c(%d) out of range!", i_c);
+ }
+ //critical: i_c could conflict among threads(same index in the idx array), so atomicAdd is used
+ //c[j + i_c * stride_c] = c[j + i_c * stride_c] * (1 - beta * alpha) + a[j + i * stride_a] * alpha;
+ atomicAdd_nvidia(c + j + i_c * stride_c, c[j + i_c * stride_c] * (- beta * alpha) + a[j + i * stride_a] * alpha);
+}
#endif
__global__ void cudak_(expand_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
@@ -640,16 +654,26 @@ extern "C" {
}
#ifdef __NERV_FUTURE_CUDA_7
- void cudak_(cuda_update_select_rows)(Matrix *c, const Matrix *a, const Matrix *idx, double alpha, double beta) {
+ void cudak_(cuda_update_select_rows_by_rowidx)(Matrix *c, const Matrix *a, const Matrix *idx, double alpha, double beta) {
dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
CEIL_DIV(a->nrow, threadsPerBlock.y));
- cudak_(update_select_rows)<<<numBlocks, threadsPerBlock>>> \
+ cudak_(update_select_rows_by_rowidx)<<<numBlocks, threadsPerBlock>>> \
(MATRIX_ELEM_PTR(c), MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(idx),
a->nrow, a->ncol, c->nrow, c->stride / sizeof(MATRIX_ELEM),
a->stride / sizeof(MATRIX_ELEM), alpha, beta);
cudaStreamSynchronize(0);
}
+ void cudak_(cuda_update_select_rows_by_colidx)(Matrix *c, const Matrix *a, const Matrix *idx, double alpha, double beta) {
+ dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
+ dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
+ CEIL_DIV(a->nrow, threadsPerBlock.y));
+ cudak_(update_select_rows_by_colidx)<<<numBlocks, threadsPerBlock>>> \
+ (MATRIX_ELEM_PTR(c), MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(idx),
+ a->nrow, a->ncol, c->nrow, c->stride / sizeof(MATRIX_ELEM),
+ a->stride / sizeof(MATRIX_ELEM), idx->stride / sizeof(MATRIX_ELEM), alpha, beta);
+ cudaStreamSynchronize(0);
+ }
#endif
void cudak_(cuda_expand_frm)(const Matrix *a, Matrix *b, int context) {