server : fix draft model fit vs load inconsistency (#25056)
* fix: draft model fit vs load inconsistency * refactor(server): unify draft/mtp parameter initialization, model, and context load - moves speculative init to speculative.cpp - changes server_context_impl model_dft and ctx_dft to use raw pointers - fix: don't throttle progress callback when loading draft model - refactor: rename draft model/ctx load method * fix: valign
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@@ -2221,6 +2221,113 @@ int32_t common_speculative_n_max(const common_params_speculative * spec) {
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return n_max;
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}
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common_params common_base_params_to_speculative(const common_params & params) {
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const bool has_draft = params.speculative.has_dft();
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const auto & params_spec = params.speculative.draft;
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common_params result = params;
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if (has_draft) {
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result.devices = params_spec.devices;
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result.model = params_spec.mparams;
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result.n_gpu_layers = params_spec.n_gpu_layers;
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result.tensor_buft_overrides = params_spec.tensor_buft_overrides;
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if (params_spec.cpuparams.n_threads > 0) {
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result.cpuparams.n_threads = params_spec.cpuparams.n_threads;
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result.cpuparams_batch.n_threads = params_spec.cpuparams_batch.n_threads;
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}
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}
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result.cache_type_k = params_spec.cache_type_k;
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result.cache_type_v = params_spec.cache_type_v;
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result.n_outputs_max = params.n_parallel;
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return result;
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}
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struct common_init_speculative_result::impl {
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impl() = default;
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~impl() = default;
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// note: the order in which model, context, etc. are declared matters because their destructors will be called bottom-to-top
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llama_model_ptr model;
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llama_context_ptr context;
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};
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common_init_speculative_result::common_init_speculative_result(
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common_params & params,
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llama_model * model_tgt,
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llama_context * ctx_tgt) :
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pimpl(new impl{}) {
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const bool has_draft = params.speculative.has_dft();
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const bool spec_mtp = std::find(params.speculative.types.begin(),
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params.speculative.types.end(),
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COMMON_SPECULATIVE_TYPE_DRAFT_MTP) != params.speculative.types.end();
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GGML_ASSERT(has_draft || spec_mtp);
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auto mparams = common_model_params_to_llama(params);
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auto cparams = common_context_params_to_llama(params);
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if (spec_mtp) {
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cparams.ctx_type = LLAMA_CONTEXT_TYPE_MTP;
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}
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// note: for small models maybe we can set this to the maximum possible draft from all speculative types
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// the extra memory for small models is likely negligible?
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cparams.n_rs_seq = 0;
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cparams.ctx_other = ctx_tgt;
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std::string model_path;
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if (has_draft) {
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model_path = params.speculative.draft.mparams.path;
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LOG_TRC("%s: loading draft model '%s'\n", __func__, model_path.c_str());
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llama_model * model_dft = llama_model_load_from_file(params.model.path.c_str(), mparams);
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if (model_dft == NULL) {
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LOG_ERR("%s: failed to load draft model, '%s'\n", __func__, model_path.c_str());
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return;
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}
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pimpl->model.reset(model_dft);
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llama_context * ctx_dft = llama_init_from_model(model_dft, cparams);
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if (ctx_dft == nullptr) {
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LOG_ERR("%s: failed to create MTP context\n", __func__);
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return;
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}
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pimpl->context.reset(ctx_dft);
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} else if (spec_mtp) {
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model_path = params.model.path;
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LOG_TRC("%s: creating MTP draft context against the target model '%s'\n",
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__func__, model_path.c_str());
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llama_context * ctx_dft = llama_init_from_model(model_tgt, cparams);
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if (ctx_dft == nullptr) {
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LOG_ERR("%s: failed to create MTP context\n", __func__);
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return;
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}
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pimpl->context.reset(ctx_dft);
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}
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}
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common_init_speculative_result::~common_init_speculative_result() = default;
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llama_model * common_init_speculative_result::model() {
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return pimpl->model.get();
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}
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llama_context * common_init_speculative_result::context() {
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return pimpl->context.get();
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}
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common_init_speculative_result_ptr common_init_speculative_from_params(common_params & params, llama_model * model_tgt, llama_context * ctx_tgt) {
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return std::make_unique<common_init_speculative_result>(params, model_tgt, ctx_tgt);
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}
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// initialization of the speculative decoding system
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//
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common_speculative * common_speculative_init(common_params_speculative & params, uint32_t n_seq) {
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@@ -23,6 +23,8 @@ std::string common_speculative_type_to_str(enum common_speculative_type type);
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// return the max number of draft tokens based on the speculative parameters
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int32_t common_speculative_n_max(const common_params_speculative * spec);
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common_params common_base_params_to_speculative(const common_params & params);
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common_speculative * common_speculative_init(common_params_speculative & params, uint32_t n_seq);
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void common_speculative_free(common_speculative * spec);
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@@ -80,3 +82,19 @@ struct common_speculative_deleter {
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};
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typedef std::unique_ptr<common_speculative, common_speculative_deleter> common_speculative_ptr;
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struct common_init_speculative_result {
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common_init_speculative_result(common_params & params, llama_model * model_tgt, llama_context * ctx_tgt);
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~common_init_speculative_result();
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llama_model * model();
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llama_context * context();
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private:
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struct impl;
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std::unique_ptr<impl> pimpl;
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};
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using common_init_speculative_result_ptr = std::unique_ptr<common_init_speculative_result>;
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common_init_speculative_result_ptr common_init_speculative_from_params(common_params & params, llama_model * model_tgt, llama_context * ctx_tgt);
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