Add speculative decoding support to the server and command-line interfaces
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@@ -318,6 +318,45 @@ llama_token gpt_sampler_sample(struct gpt_sampler * gsmpl, struct llama_context
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return cur_p.data[cur_p.selected].id;
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}
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std::vector<llama_token> gpt_sampler_sample_and_accept_n(struct gpt_sampler * gsmpl, struct llama_context * ctx, const std::vector<int> & idxs, const llama_tokens & draft, bool grammar_first) {
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GGML_ASSERT(idxs.size() == draft.size() + 1 && "idxs.size() must be draft.size() + 1");
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std::vector<llama_token> result;
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result.reserve(idxs.size());
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size_t i = 0;
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for (; i < draft.size(); i++) {
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const llama_token id = gpt_sampler_sample(gsmpl, ctx, idxs[i], grammar_first);
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gpt_sampler_accept(gsmpl, id, true);
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result.push_back(id);
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if (draft[i] != id) {
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break;
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}
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}
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if (i == draft.size()) {
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const llama_token id = gpt_sampler_sample(gsmpl, ctx, idxs[i], grammar_first);
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gpt_sampler_accept(gsmpl, id, true);
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result.push_back(id);
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}
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return result;
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}
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std::vector<llama_token> gpt_sampler_sample_and_accept_n(struct gpt_sampler * gsmpl, struct llama_context * ctx, const llama_tokens & draft, bool grammar_first) {
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std::vector<int> idxs(draft.size() + 1);
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for (size_t i = 0; i < idxs.size(); ++i) {
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idxs[i] = i;
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}
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return gpt_sampler_sample_and_accept_n(gsmpl, ctx, idxs, draft, grammar_first);
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}
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uint32_t gpt_sampler_get_seed(const struct gpt_sampler * gsmpl) {
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return llama_sampler_get_seed(gsmpl->chain);
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}
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