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https://github.com/ggml-org/llama.cpp.git
synced 2026-09-08 22:09:02 +02:00
Match dist between CPU and GPU
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@@ -222,7 +222,6 @@ struct server_slot {
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std::vector<int32_t> spec_i_batch;
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common_prompt_checkpoint spec_ckpt;
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bool spec_is_replay = false;
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common_sampler_ptr spec_smpl_save;
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// TODO: move members that belong to the task (such as `generated_text`, `has_new_line`) to task_results_state
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// see https://github.com/ggml-org/llama.cpp/pull/18283#issuecomment-3710175837
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@@ -360,7 +359,6 @@ struct server_slot {
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spec_draft.clear();
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spec_i_batch.clear();
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spec_ckpt.clear();
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spec_smpl_save.reset();
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}
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generated_tokens.clear();
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generated_token_probs.clear();
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@@ -3110,11 +3108,6 @@ private:
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// update the batch with the sampled/drafted tokens
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iterate(generating, [&](server_slot & slot) {
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GGML_ASSERT(!slot.spec_smpl_save);
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if (!slot.spec_draft.empty()) {
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// backend sampling advances the sampler during llama_decode()
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slot.spec_smpl_save.reset(common_sampler_clone(slot.smpl.get()));
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}
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slot.handle_last_sampled_token(batch);
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});
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@@ -3894,8 +3887,7 @@ private:
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// verify and try to accept the draft
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{
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GGML_ASSERT(slot.spec_smpl_save);
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common_sampler_ptr smpl_save = std::move(slot.spec_smpl_save);
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common_sampler_ptr smpl_save(common_sampler_clone(slot.smpl.get()));
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GGML_ASSERT(slot.spec_i_batch.size() == n_draft + 1);
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auto accepted = common_sampler_sample_and_accept_n(slot.smpl.get(), slot.ctx_tgt, slot.spec_i_batch, slot.spec_draft);
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@@ -3933,16 +3925,12 @@ private:
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slot.mem.seq_rm(slot.id, ckpt.pos_max + 1, -1);
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slot.prompt.tokens.keep_first(ckpt.n_tokens);
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const bool restore_backend_sampler = slot.backend_sampling;
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if (restore_backend_sampler) {
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llama_set_sampler(slot.ctx_tgt, slot.id, nullptr);
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if (slot.backend_sampling) {
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slot.backend_sampling = llama_set_sampler(
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slot.ctx_tgt, slot.id, common_sampler_get(smpl_save.get()));
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}
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slot.smpl = std::move(smpl_save);
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if (restore_backend_sampler) {
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slot.backend_sampling = llama_set_sampler(
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slot.ctx_tgt, slot.id, common_sampler_get(slot.smpl.get()));
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}
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return;
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}
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