Files
rocky-vulkan-llama/patches/iterations/llama.cpp-0002-vk-cmd-cleanup-freq-env.patch
T
Markus Fritsche 107ccddbb1 Clean up for public release: README rewrite, LICENSE (MIT), patches reorganized
Final deliverables (mesa-panvk-shared-tls-wls + llama.cpp-mali-mmq-warptile) at top of patches/;
iteration trail moved to patches/iterations/. Public-facing README with the 4.8x result and the
two-fix summary. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-11 20:35:44 +02:00

47 lines
2.6 KiB
Diff

diff --git a/ggml/src/ggml-vulkan/ggml-vulkan.cpp b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
index 0a79310..7905c84 100644
--- a/ggml/src/ggml-vulkan/ggml-vulkan.cpp
+++ b/ggml/src/ggml-vulkan/ggml-vulkan.cpp
@@ -2612,8 +2612,14 @@ static void ggml_vk_command_pool_cleanup(vk_device& device, vk_command_pool& p)
static void ggml_vk_queue_command_pools_cleanup(vk_device& device) {
VK_LOG_DEBUG("ggml_vk_queue_command_pools_cleanup()");
- // Arbitrary frequency to cleanup/reuse command buffers
- static constexpr uint32_t cleanup_frequency = 10;
+ // Arbitrary frequency to cleanup/reuse command buffers.
+ // rocky-vulkan-llama: env-tunable. panvk's small (~4GB) priv VA heap OOMs when many
+ // cmdbufs (each retaining a large per-cmdbuf TLS/WLS BO) accumulate before reset;
+ // GGML_VK_CMD_CLEANUP_FREQ lowers the accumulation bound on Mali/panvk.
+ static const uint32_t cleanup_frequency = []() {
+ const char *e = getenv("GGML_VK_CMD_CLEANUP_FREQ");
+ return e ? (uint32_t)atoi(e) : 10u;
+ }();
if (device->compute_queue.cmd_pool.buffers_in_use() >= cleanup_frequency) {
ggml_vk_command_pool_cleanup(device, device->compute_queue.cmd_pool);
@@ -14684,11 +14690,14 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
// (and scaled down based on model size, so smaller models submit earlier).
// Also submit at least every 100 nodes, in case there are workloads without as much matmul.
int nodes_per_submit = 100;
+ if (const char* e = getenv("GGML_VK_NODES_PER_SUBMIT")) { nodes_per_submit = atoi(e); }
int submitted_nodes = 0;
int submit_count = 0;
uint64_t mul_mat_bytes = 0;
uint64_t total_mul_mat_bytes = 0;
- uint64_t mul_mat_bytes_per_submit = std::min(uint64_t(100*1000*1000), ctx->last_total_mul_mat_bytes / 40u);
+ uint64_t mul_mat_bytes_cap = 100*1000*1000;
+ if (const char* e = getenv("GGML_VK_MAX_MUL_MAT_BYTES_PER_SUBMIT")) { mul_mat_bytes_cap = strtoull(e, nullptr, 10); }
+ uint64_t mul_mat_bytes_per_submit = std::min(mul_mat_bytes_cap, ctx->last_total_mul_mat_bytes / 40u);
for (int i = 0; i < cgraph->n_nodes; i++) {
if (first_node_in_batch) {
submit_node_idx = i;
@@ -14925,7 +14934,7 @@ static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cg
submitted_nodes = 0;
mul_mat_bytes = 0;
if (submit_count < 3) {
- mul_mat_bytes_per_submit *= 2;
+ mul_mat_bytes_per_submit = std::min(mul_mat_bytes_per_submit * 2, mul_mat_bytes_cap);
}
submit_count++;
}