ggml-cuda: enable cuda-graphs for n-cpu-moe (#18934)

* ggml-cuda: add split-wise cuda graph

* add n-cpu-moe compare_llama_bench.py

* fix hip/musa builds
This commit is contained in:
Aman Gupta
2026-01-24 14:25:20 +08:00
committed by GitHub
parent 8af1f5f430
commit 81ab64f3c8
4 changed files with 105 additions and 51 deletions
+9 -8
View File
@@ -31,14 +31,15 @@ void ggml_cuda_op_mean(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
#endif // USE_CUDA_GRAPH
if ((nrows == 1) &&
#ifdef USE_CUDA_GRAPH
// CUDA_GRAPHS_DISABLED
((ncols > 65536) &&
((ctx.cuda_graph->instance == nullptr) && (iscapturing == cudaStreamCaptureStatusNone) ||
ctx.cuda_graph->is_enabled())) ||
// CUDA_GRAPHS ENABLED
((ncols > 32768) &&
!((ctx.cuda_graph->instance == nullptr) && (iscapturing == cudaStreamCaptureStatusNone) ||
ctx.cuda_graph->is_enabled()))) {
// Determine if CUDA graphs are effectively disabled for this context
// (no graph instance exists and we're not capturing, OR graphs are explicitly enabled)
(((ncols > 65536) &&
(((!ctx.any_cuda_graph_has_instance()) && (iscapturing == cudaStreamCaptureStatusNone)) ||
ctx.any_cuda_graph_enabled())) ||
// CUDA graphs are enabled - use lower threshold
((ncols > 32768) &&
!(((!ctx.any_cuda_graph_has_instance()) && (iscapturing == cudaStreamCaptureStatusNone)) ||
ctx.any_cuda_graph_enabled())))) {
#else
(ncols > 65536)) {
#endif // USE_CUDA_GRAPH