ikawrakow/ik_llama.cpp
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Much better TG speed with split mode "graph"

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Kawrakow
2025-12-15 13:52:43 +00:00
parent 0e91b89cd3
commit 5a731064e6
1 changed files with 60 additions and 3 deletions
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63
ggml/src/ggml-backend.cpp
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@@ -18,6 +18,8 @@
#define MAX(a, b) ((a) > (b) ? (a) : (b))
constexpr size_t k_max_extra_alloc = 1024*1024*64;
// backend buffer type
const char * ggml_backend_buft_name(ggml_backend_buffer_type_t buft) {
@@ -1162,6 +1164,8 @@ struct ggml_backend_sched {
char * context_buffer;
size_t context_buffer_size;
std::array<ggml_backend_buffer_t, GGML_SCHED_MAX_BACKENDS> input_memory_bufs = {{ nullptr }};
uint32_t op_offload[(GGML_OP_COUNT + 31)/32];
bool only_active_experts;
@@ -2093,14 +2097,62 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
return ggml_backend_sched_compute_splits_sm_graph(sched);
}
std::array<bool, GGML_SCHED_MAX_BACKENDS> needs_sync{{true}};
std::array<bool, GGML_SCHED_MAX_BACKENDS> own_cpy{{false}};
if (sched->split_mode_graph) {
std::vector<size_t> input_size(sched->n_backends, 0);
for (int i = 0; i < sched->n_splits; i++) {
auto split = &sched->splits[i];
int split_backend_id = split->backend_id;
for (int j = 0; j < split->n_inputs; ++j) {
auto nbytes = ggml_nbytes(split->inputs[j]);
nbytes = 256*((nbytes + 255)/256);
input_size[split_backend_id] += nbytes;
}
}
for (int backend_id = 0; backend_id < sched->n_backends; ++backend_id) {
if (!input_size[backend_id]) continue; // this backend has no inputs, so no need to worry about it.
if (input_size[backend_id] <= k_max_extra_alloc) {
if (sched->input_memory_bufs[backend_id] && sched->input_memory_bufs[backend_id]->size < input_size[backend_id]) {
ggml_backend_buffer_free(sched->input_memory_bufs[backend_id]);
sched->input_memory_bufs[backend_id] = nullptr;
}
if (!sched->input_memory_bufs[backend_id]) {
sched->input_memory_bufs[backend_id] = ggml_backend_alloc_buffer(sched->backends[backend_id], input_size[backend_id]);
}
auto ptr = (char *)ggml_backend_buffer_get_base(sched->input_memory_bufs[backend_id]);
for (int i = 0; i < sched->n_splits; ++i) {
auto split = &sched->splits[i];
if (split->backend_id != backend_id) continue;
for (int j = 0; j < split->n_inputs; ++j) {
auto input_cpy = tensor_copy(split->inputs[j], backend_id, sched->cur_copy);
for (int k = 0; k < split->graph.n_nodes; ++k) {
auto node = split->graph.nodes[k];
for (int l = 0; l < GGML_MAX_SRC; ++l) {
if (node->src[l] && node->src[l]->data == input_cpy->data) node->src[l]->data = ptr;
}
}
input_cpy->data = ptr;
auto nbytes = ggml_nbytes(split->inputs[j]);
nbytes = 256*((nbytes + 255)/256);
ptr += nbytes;
}
}
needs_sync[backend_id] = false;
own_cpy[backend_id] = true;
}
}
//printf("=== Input memory per backend:\n");
//for (int i = 0; i < sched->n_backends; ++i) printf(" %d: %.2f MiB\n", i, input_size[i]/1024./1024.);
}
struct ggml_backend_sched_split * splits = sched->splits;
std::vector<int32_t> ids;
std::vector<uint32_t> unique_ids;
ggml_tensor * last_ids_tensor = nullptr;
std::array<bool, GGML_SCHED_MAX_BACKENDS> needs_sync{{true}};
for (int i = 0; i < sched->n_splits; i++) {
#if IK_PRINT_TIMING
int64_t tim1 = ggml_time_us();
@@ -2112,7 +2164,7 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
// copy the input tensors to the split backend
ggml_backend_sched_copy_inputs(sched, split, needs_sync, ids, unique_ids, last_ids_tensor);
if (split->n_inputs > 0) {
if (split->n_inputs > 0 && !own_cpy[split_backend_id]) {
needs_sync[split_backend_id] = true;
}
if (!sched->callback_eval) {
@@ -2240,6 +2292,11 @@ void ggml_backend_sched_free(ggml_backend_sched_t sched) {
ggml_backend_event_free(sched->events[b][c]);
}
}
for (int i = 0; i < sched->n_backends; ++i) {
if (sched->input_memory_bufs[i]) {
ggml_backend_buffer_free(sched->input_memory_bufs[i]);
}
}
ggml_gallocr_free(sched->galloc);
ggml_free(sched->ctx);
ggml_hash_set_free(&sched->hash_set);