pass user data
This commit is contained in:
Oleksandr Kuvshynov
parent
534093878b
commit
7c8699add6
7 changed files with 28 additions and 18 deletions
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@ -1923,6 +1923,7 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
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cparams.cb_eval = params.cb_eval;
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cparams.cb_eval_user_data = params.cb_eval_user_data;
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cparams.cb_split_done = params.cb_split_done;
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cparams.cb_split_done_user_data = params.cb_split_done_user_data;
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cparams.offload_kqv = !params.no_kv_offload;
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cparams.flash_attn = params.flash_attn;
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@ -88,6 +88,7 @@ struct gpt_params {
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ggml_backend_sched_eval_callback cb_eval = nullptr;
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void * cb_eval_user_data = nullptr;
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ggml_backend_sched_split_done_callback cb_split_done = nullptr;
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void * cb_split_done_user_data = nullptr;
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ggml_numa_strategy numa = GGML_NUMA_STRATEGY_DISABLED;
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@ -38,15 +38,13 @@ struct speculation_context
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bool done;
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};
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speculation_context spec_ctx;
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// pass void * spec_ctx
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static void split_done_cb(int split)
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static void split_done_cb(int split, void * p_spec_ctx)
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{
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if (split == 1 || split == 2)
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{
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std::lock_guard<std::mutex> guard(spec_ctx.mtx);
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spec_ctx.vacant_id = split - 1;
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auto * spec_ctx = static_cast<speculation_context*>(p_spec_ctx);
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std::lock_guard<std::mutex> guard(spec_ctx->mtx);
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spec_ctx->vacant_id = split - 1;
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}
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}
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@ -171,6 +169,7 @@ static int speculation(
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static int target(
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llama_model * model,
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speculation_context * spec_ctx,
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llama_context * ctx,
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const llama_tokens& input,
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size_t n_predict)
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@ -238,8 +237,8 @@ static int target(
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}
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{
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std::lock_guard<std::mutex> _lock(spec_ctx.mtx);
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auto & spec = spec_ctx.candidate;
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std::lock_guard<std::mutex> _lock(spec_ctx->mtx);
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auto & spec = spec_ctx->candidate;
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size_t n_match = 0;
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for (size_t i = 0; i < next_tokens.size() && i + next_tokens_pos < spec.size(); i++)
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{
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@ -285,8 +284,8 @@ static int target(
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llama_print_timings(ctx);
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fprintf(stderr, "\n");
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{
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std::lock_guard<std::mutex> _lock(spec_ctx.mtx);
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spec_ctx.done = true;
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std::lock_guard<std::mutex> _lock(spec_ctx->mtx);
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spec_ctx->done = true;
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}
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llama_batch_free(batch);
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@ -306,11 +305,13 @@ int main(int argc, char ** argv) {
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llama_backend_init();
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llama_numa_init(params.numa);
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speculation_context spec_ctx;
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// main model and context
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llama_model * model = nullptr;
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llama_context * ctx = nullptr;
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params.cb_split_done = split_done_cb;
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params.cb_split_done_user_data = &spec_ctx;
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std::tie(model, ctx) = llama_init_from_gpt_params(params);
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llama_tokens input = llama_tokenize(ctx, params.prompt, true);
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@ -333,7 +334,7 @@ int main(int argc, char ** argv) {
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std::tie(draft_model, draft_ctx) = llama_init_from_gpt_params(params);
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std::thread spec_thread = std::thread(speculation, draft_model, &spec_ctx, draft_ctx, input);
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target(model, ctx, input, params.n_predict);
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target(model, &spec_ctx, ctx, input, params.n_predict);
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spec_thread.join();
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@ -1076,6 +1076,7 @@ struct ggml_backend_sched {
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void * callback_eval_user_data;
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ggml_backend_sched_split_done_callback callback_split_done;
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void * callback_split_done_user_data;
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// align context_buffer to GGML_MEM_ALIGN
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#ifdef _MSC_VER
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@ -1713,7 +1714,7 @@ static enum ggml_status ggml_backend_sched_compute_splits(ggml_backend_sched_t s
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// split finished
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if (sched->callback_split_done) {
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sched->callback_split_done(i);
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sched->callback_split_done(i, sched->callback_split_done_user_data);
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}
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}
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@ -1863,8 +1864,9 @@ void ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backe
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sched->callback_eval_user_data = user_data;
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}
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void ggml_backend_sched_set_split_done_callback(ggml_backend_sched_t sched, ggml_backend_sched_split_done_callback callback) {
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void ggml_backend_sched_set_split_done_callback(ggml_backend_sched_t sched, ggml_backend_sched_split_done_callback callback, void * user_data) {
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sched->callback_split_done = callback;
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sched->callback_split_done_user_data = user_data;
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}
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int ggml_backend_sched_get_n_splits(ggml_backend_sched_t sched) {
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@ -177,7 +177,7 @@ extern "C" {
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// if set will be called when a split is completed computation
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// is useful for distributed task orchestraction
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typedef void (*ggml_backend_sched_split_done_callback)(int split);
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typedef void (*ggml_backend_sched_split_done_callback)(int split, void * user_data);
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// Initialize a backend scheduler
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GGML_API ggml_backend_sched_t ggml_backend_sched_new(ggml_backend_t * backends, ggml_backend_buffer_type_t * bufts, int n_backends, size_t graph_size, bool parallel);
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@ -208,7 +208,7 @@ extern "C" {
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GGML_API void ggml_backend_sched_set_eval_callback(ggml_backend_sched_t sched, ggml_backend_sched_eval_callback callback, void * user_data);
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// Set a callback to be called for each resulting node during graph compute
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GGML_API void ggml_backend_sched_set_split_done_callback(ggml_backend_sched_t sched, ggml_backend_sched_split_done_callback callback);
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GGML_API void ggml_backend_sched_set_split_done_callback(ggml_backend_sched_t sched, ggml_backend_sched_split_done_callback callback, void * user_data);
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//
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// Utils
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@ -1863,6 +1863,7 @@ struct llama_cparams {
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void * cb_eval_user_data;
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ggml_backend_sched_split_done_callback cb_split_done;
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void * cb_split_done_user_data;
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};
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struct llama_layer {
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@ -11256,7 +11257,7 @@ static int llama_decode_internal(
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ggml_backend_sched_reset(lctx.sched);
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ggml_backend_sched_set_eval_callback(lctx.sched, lctx.cparams.cb_eval, lctx.cparams.cb_eval_user_data);
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ggml_backend_sched_set_split_done_callback(lctx.sched, lctx.cparams.cb_split_done);
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ggml_backend_sched_set_split_done_callback(lctx.sched, lctx.cparams.cb_split_done, lctx.cparams.cb_split_done_user_data);
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ggml_cgraph * gf = llama_build_graph(lctx, u_batch, false);
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@ -15196,6 +15197,7 @@ struct llama_context_params llama_context_default_params() {
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/*.cb_eval =*/ nullptr,
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/*.cb_eval_user_data =*/ nullptr,
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/*.cb_split_done =*/ nullptr,
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/*.cb_split_done_user_data =*/ nullptr,
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/*.type_k =*/ GGML_TYPE_F16,
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/*.type_v =*/ GGML_TYPE_F16,
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/*.logits_all =*/ false,
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@ -15408,6 +15410,8 @@ struct llama_context * llama_new_context_with_model(
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cparams.cb_eval = params.cb_eval;
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cparams.cb_eval_user_data = params.cb_eval_user_data;
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cparams.cb_split_done = params.cb_split_done;
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cparams.cb_split_done_user_data = params.cb_split_done_user_data;
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auto rope_scaling_type = params.rope_scaling_type;
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if (rope_scaling_type == LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED) {
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1
llama.h
1
llama.h
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@ -290,6 +290,7 @@ extern "C" {
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ggml_backend_sched_eval_callback cb_eval;
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void * cb_eval_user_data;
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ggml_backend_sched_split_done_callback cb_split_done;
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void * cb_split_done_user_data;
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enum ggml_type type_k; // data type for K cache
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enum ggml_type type_v; // data type for V cache
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