return n_max;
}
+common_params common_base_params_to_speculative(const common_params & params) {
+ const bool has_draft = params.speculative.has_dft();
+
+ const auto & params_spec = params.speculative.draft;
+ common_params result = params;
+
+ if (has_draft) {
+ result.devices = params_spec.devices;
+ result.model = params_spec.mparams;
+ result.n_gpu_layers = params_spec.n_gpu_layers;
+ result.tensor_buft_overrides = params_spec.tensor_buft_overrides;
+
+ if (params_spec.cpuparams.n_threads > 0) {
+ result.cpuparams.n_threads = params_spec.cpuparams.n_threads;
+ result.cpuparams_batch.n_threads = params_spec.cpuparams_batch.n_threads;
+ }
+ }
+
+ result.cache_type_k = params_spec.cache_type_k;
+ result.cache_type_v = params_spec.cache_type_v;
+ result.n_outputs_max = params.n_parallel;
+
+ return result;
+}
+
+struct common_init_speculative_result::impl {
+ impl() = default;
+ ~impl() = default;
+
+ // note: the order in which model, context, etc. are declared matters because their destructors will be called bottom-to-top
+ llama_model_ptr model;
+ llama_context_ptr context;
+};
+
+common_init_speculative_result::common_init_speculative_result(
+ common_params & params,
+ llama_model * model_tgt,
+ llama_context * ctx_tgt) :
+ pimpl(new impl{}) {
+ const bool has_draft = params.speculative.has_dft();
+ const bool spec_mtp = std::find(params.speculative.types.begin(),
+ params.speculative.types.end(),
+ COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
+ GGML_ASSERT(has_draft || spec_mtp);
+
+ auto mparams = common_model_params_to_llama(params);
+ auto cparams = common_context_params_to_llama(params);
+
+ if (spec_mtp) {
+ cparams.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
+ }
+
+ // note: for small models maybe we can set this to the maximum possible draft from all speculative types
+ // the extra memory for small models is likely negligible?
+ cparams.n_rs_seq = 0;
+ cparams.ctx_other = ctx_tgt;
+
+ std::string model_path;
+ if (has_draft) {
+ model_path = params.speculative.draft.mparams.path;
+ LOG_TRC("%s: loading draft model '%s'\n", __func__, model_path.c_str());
+
+ llama_model * model_dft = llama_model_load_from_file(params.model.path.c_str(), mparams);
+ if (model_dft == NULL) {
+ LOG_ERR("%s: failed to load draft model, '%s'\n", __func__, model_path.c_str());
+ return;
+ }
+
+ pimpl->model.reset(model_dft);
+
+ llama_context * ctx_dft = llama_init_from_model(model_dft, cparams);
+ if (ctx_dft == nullptr) {
+ LOG_ERR("%s: failed to create MTP context\n", __func__);
+ return;
+ }
+
+ pimpl->context.reset(ctx_dft);
+ } else if (spec_mtp) {
+ model_path = params.model.path;
+
+ LOG_TRC("%s: creating MTP draft context against the target model '%s'\n",
+ __func__, model_path.c_str());
+
+ llama_context * ctx_dft = llama_init_from_model(model_tgt, cparams);
+ if (ctx_dft == nullptr) {
+ LOG_ERR("%s: failed to create MTP context\n", __func__);
+ return;
+ }
+
+ pimpl->context.reset(ctx_dft);
+ }
+}
+
+common_init_speculative_result::~common_init_speculative_result() = default;
+
+llama_model * common_init_speculative_result::model() {
+ return pimpl->model.get();
+}
+
+llama_context * common_init_speculative_result::context() {
+ return pimpl->context.get();
+}
+
+common_init_speculative_result_ptr common_init_speculative_from_params(common_params & params, llama_model * model_tgt, llama_context * ctx_tgt) {
+ return std::make_unique<common_init_speculative_result>(params, model_tgt, ctx_tgt);
+}
+
// initialization of the speculative decoding system
//
common_speculative * common_speculative_init(common_params_speculative & params, uint32_t n_seq) {
server_batch batch;
- llama_model_ptr model_dft;
- llama_context_ptr ctx_dft;
+ llama_model * model_dft = nullptr;
+ llama_context * ctx_dft = nullptr;
+
+ common_init_speculative_result_ptr spec_init;
common_context_seq_rm_type ctx_tgt_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
common_context_seq_rm_type ctx_dft_seq_rm_type = COMMON_CONTEXT_SEQ_RM_TYPE_NO;
void destroy() {
spec.reset();
- ctx_dft.reset();
- model_dft.reset();
+ spec_init.reset();
+
+ ctx_dft = nullptr;
+ model_dft = nullptr;
llama_init.reset();
// optionally reserve VRAM for the draft / MTP context before fitting the target model
if (params_base.fit_params) {
if (has_spec) {
- common_params params_dft = params_base;
- bool measure_model_bytes = true;
-
- if (has_draft) {
- const auto & params_spec = params_base.speculative.draft;
- params_dft.devices = params_spec.devices;
- params_dft.model = params_spec.mparams;
- params_dft.n_gpu_layers = params_spec.n_gpu_layers;
- params_dft.cache_type_k = params_spec.cache_type_k;
- params_dft.cache_type_v = params_spec.cache_type_v;
- params_dft.tensor_buft_overrides = params_spec.tensor_buft_overrides;
- } else {
- // MTP draft context lives on the target model, only context+compute are new
- measure_model_bytes = false;
- }
+ // MTP draft context lives on the target model, only context+compute are new
+ bool measure_model_bytes = has_draft;
- params_dft.n_outputs_max = params_base.n_parallel;
+ common_params params_dft = common_base_params_to_speculative(params_base);
auto mparams_dft = common_model_params_to_llama(params_dft);
auto cparams_dft = common_context_params_to_llama(params_dft);
if (spec_mtp) {
cparams_dft.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
- cparams_dft.type_k = params_base.speculative.draft.cache_type_k;
- cparams_dft.type_v = params_base.speculative.draft.cache_type_v;
}
cparams_dft.n_rs_seq = 0;
add_bos_token = llama_vocab_get_add_bos(vocab);
- if (has_draft) {
- // TODO speculative: move to common/speculative.cpp?
- const auto & params_spec = params_base.speculative.draft;
-
- SRV_TRC("loading draft model '%s'\n", params_spec.mparams.path.c_str());
-
- auto params_dft = params_base;
-
- params_dft.devices = params_spec.devices;
- params_dft.model = params_spec.mparams;
- params_dft.n_gpu_layers = params_spec.n_gpu_layers;
- params_dft.cache_type_k = params_spec.cache_type_k;
- params_dft.cache_type_v = params_spec.cache_type_v;
-
- if (params_spec.cpuparams.n_threads > 0) {
- params_dft.cpuparams.n_threads = params_spec.cpuparams.n_threads;
- params_dft.cpuparams_batch.n_threads = params_spec.cpuparams_batch.n_threads;
- }
-
- params_dft.tensor_buft_overrides = params_spec.tensor_buft_overrides;
-
- auto mparams_dft = common_model_params_to_llama(params_dft);
-
- // progress callback
- mparams_dft.progress_callback = load_progress_callback;
- mparams_dft.progress_callback_user_data = &load_progress_spec;
-
- model_dft.reset(llama_model_load_from_file(params_dft.model.path.c_str(), mparams_dft));
- if (model_dft == nullptr) {
- SRV_ERR("failed to load draft model, '%s'\n", params_dft.model.path.c_str());
- return false;
- }
-
- auto cparams = common_context_params_to_llama(params_dft);
-
- if (spec_mtp) {
- cparams.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
- }
+ if (has_spec) {
+ // spec_mtp doesn't use load a model internally, so we report 0.0 and 1.0 manually
+ load_progress_callback(0.0f, &load_progress_spec);
+ load_progress_spec.t_last_load_progress_ms = 0; // reset so internal cbs aren't delayed
- // note: for small models maybe we can set this to the maximum possible draft from all speculative types
- // the extra memory for small models is likely negligible?
- cparams.n_rs_seq = 0;
- cparams.ctx_other = ctx_tgt;
+ {
+ common_params params_dft = common_base_params_to_speculative(params_base);
+ // progress callback
+ params_dft.load_progress_callback = load_progress_callback;
+ params_dft.load_progress_callback_user_data = &load_progress_spec;
- ctx_dft.reset(llama_init_from_model(model_dft.get(), cparams));
- if (ctx_dft == nullptr) {
- SRV_ERR("%s", "failed to create draft context\n");
- return false;
- }
+ spec_init = common_init_speculative_from_params(params_dft, model_tgt, ctx_tgt);
+ model_dft = spec_init->model();
+ ctx_dft = spec_init->context();
- params_base.speculative.draft.ctx_tgt = ctx_tgt;
- params_base.speculative.draft.ctx_dft = ctx_dft.get();
- } else if (spec_mtp) {
- // no new model load, so we simply report 0.0 and 1.0 progress
- load_progress_callback(0.0f, &load_progress_spec);
-
- SRV_TRC("creating MTP draft context against the target model '%s'\n",
- params_base.model.path.c_str());
+ if (has_draft && model_dft == nullptr) {
+ SRV_ERR("failed to load draft model, '%s'\n", params_dft.model.path.c_str());
+ return false;
+ }
- auto cparams_mtp = common_context_params_to_llama(params_base);
- cparams_mtp.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
- cparams_mtp.type_k = params_base.speculative.draft.cache_type_k;
- cparams_mtp.type_v = params_base.speculative.draft.cache_type_v;
- cparams_mtp.n_rs_seq = 0;
- cparams_mtp.n_outputs_max = params_base.n_parallel;
- cparams_mtp.ctx_other = ctx_tgt;
+ if (ctx_dft == nullptr) {
+ SRV_ERR("%s", "failed to create MTP context\n");
+ return false;
+ }
- ctx_dft.reset(llama_init_from_model(model_tgt, cparams_mtp));
- if (ctx_dft == nullptr) {
- SRV_ERR("%s", "failed to create MTP context\n");
- return false;
+ params_base.speculative.draft.ctx_tgt = ctx_tgt;
+ params_base.speculative.draft.ctx_dft = ctx_dft;
}
- params_base.speculative.draft.ctx_tgt = ctx_tgt;
- params_base.speculative.draft.ctx_dft = ctx_dft.get();
-
load_progress_callback(1.0f, &load_progress_spec);
}
}
if (ctx_dft) {
- ctx_dft_seq_rm_type = common_context_can_seq_rm(ctx_dft.get());
+ ctx_dft_seq_rm_type = common_context_can_seq_rm(ctx_dft);
}
if (spec) {
SRV_TRC("%s", "speculative decoding context initialized\n");
} else {
- ctx_dft.reset();
+ spec_init.reset();
+ ctx_dft = nullptr;
+ model_dft = nullptr;
}
for (int i = 0; i < params_base.n_parallel; i++) {
slot.id = i;
slot.ctx_tgt = ctx_tgt;
- slot.ctx_dft = ctx_dft.get();
+ slot.ctx_dft = ctx_dft;
slot.spec = spec.get();
slot.n_ctx = n_ctx_slot;
cur.update_pos(slot.prompt.n_tokens() - n_tokens_cur, pos_min, pos_max);
cur.update_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
- cur.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+ cur.update_dft(ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
// stash the draft's speculative state with the checkpoint
common_speculative_get_state(spec.get(), slot.id, cur.data_spec);
common_context_seq_add(ctx_tgt, slot.id, n_keep + n_discard, slot.prompt.n_tokens(), -n_discard);
if (ctx_dft) {
- common_context_seq_rm (ctx_dft.get(), slot.id, n_keep , n_keep + n_discard);
- common_context_seq_add(ctx_dft.get(), slot.id, n_keep + n_discard, slot.prompt.tokens.pos_next(), -n_discard);
+ common_context_seq_rm (ctx_dft, slot.id, n_keep , n_keep + n_discard);
+ common_context_seq_add(ctx_dft, slot.id, n_keep + n_discard, slot.prompt.tokens.pos_next(), -n_discard);
}
// add generated tokens to cache
llama_memory_seq_pos_max(llama_get_memory(ctx_tgt), slot.id));
if (use_ckpt_dft) {
- slot.spec_ckpt.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+ slot.spec_ckpt.update_dft(ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
}
slot.spec_prompt = slot.prompt.tokens.get_text_tokens();
if (ctx_dft) {
if (use_ckpt_dft) {
- ckpt.load_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+ ckpt.load_dft(ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
}
- common_context_seq_rm(ctx_dft.get(), slot.id, ckpt.pos_max + 1, -1);
+ common_context_seq_rm(ctx_dft, slot.id, ckpt.pos_max + 1, -1);
}
if (!draft.empty()) {
(ctx_tgt_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_RS && draft.size() > llama_n_rs_seq(ctx_tgt));
const bool use_ckpt_dft =
- (ctx_dft_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_RS && draft.size() > llama_n_rs_seq(ctx_dft.get()));
+ (ctx_dft_seq_rm_type == COMMON_CONTEXT_SEQ_RM_TYPE_RS && draft.size() > llama_n_rs_seq(ctx_dft));
if (use_ckpt_tgt) {
//const int64_t t_start = ggml_time_us();
}
if (use_ckpt_dft) {
- ckpt.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+ ckpt.update_dft(ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
}
}
});
common_context_seq_add(ctx_tgt, slot.id, head_c, head_c + n_match, kv_shift);
if (ctx_dft) {
- common_context_seq_rm (ctx_dft.get(), slot.id, head_p, head_c);
- common_context_seq_add(ctx_dft.get(), slot.id, head_c, head_c + n_match, kv_shift);
+ common_context_seq_rm (ctx_dft, slot.id, head_p, head_c);
+ common_context_seq_add(ctx_dft, slot.id, head_c, head_c + n_match, kv_shift);
}
for (size_t i = 0; i < n_match; i++) {
if (!do_reset) {
// restore the context checkpoint
it->load_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
- it->load_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
+ it->load_dft(ctx_dft, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
// restore the draft's speculative state
common_speculative_set_state(spec.get(), slot.id, it->data_spec);
common_context_seq_rm(ctx_tgt, slot.id, p0, -1);
if (ctx_dft) {
- common_context_seq_rm(ctx_dft.get(), slot.id, p0, -1);
+ common_context_seq_rm(ctx_dft, slot.id, p0, -1);
}
// If using an alora, there may be uncached tokens that come