diff options
Diffstat (limited to 'ggml-cuda/sumrows.cu')
-rw-r--r-- | ggml-cuda/sumrows.cu | 40 |
1 files changed, 0 insertions, 40 deletions
diff --git a/ggml-cuda/sumrows.cu b/ggml-cuda/sumrows.cu deleted file mode 100644 index 82e8e875..00000000 --- a/ggml-cuda/sumrows.cu +++ /dev/null @@ -1,40 +0,0 @@ -#include "sumrows.cuh" - -static __global__ void k_sum_rows_f32(const float * x, float * dst, const int ncols) { - const int row = blockIdx.x; - const int col = threadIdx.x; - - float sum = 0.0f; - for (int i = col; i < ncols; i += blockDim.x) { - sum += x[row * ncols + i]; - } - - sum = warp_reduce_sum(sum); - - if (col == 0) { - dst[row] = sum; - } -} - -static void sum_rows_f32_cuda(const float * x, float * dst, const int ncols, const int nrows, cudaStream_t stream) { - const dim3 block_dims(WARP_SIZE, 1, 1); - const dim3 block_nums(nrows, 1, 1); - k_sum_rows_f32<<<block_nums, block_dims, 0, stream>>>(x, dst, ncols); -} - -void ggml_cuda_op_sum_rows(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { - const ggml_tensor * src0 = dst->src[0]; - const float * src0_d = (const float *)src0->data; - float * dst_d = (float *)dst->data; - cudaStream_t stream = ctx.stream(); - - GGML_ASSERT(src0->type == GGML_TYPE_F32); - GGML_ASSERT( dst->type == GGML_TYPE_F32); - GGML_ASSERT(ggml_is_contiguous(src0)); - - - const int64_t ncols = src0->ne[0]; - const int64_t nrows = ggml_nrows(src0); - - sum_rows_f32_cuda(src0_d, dst_d, ncols, nrows, stream); -} |