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https://github.com/ggml-org/llama.cpp.git
synced 2026-09-18 16:55:05 +02:00
common: moved self-spec impl to ngram-map
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+97
-5
@@ -5,6 +5,97 @@
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#include <cinttypes>
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#include <cstdint>
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#include <cstdio>
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#include <sstream>
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// n-gram simple
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//
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/**
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* Perform speculative generation using the model's own token history.
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* Searches for a matching pattern in the token history and returns draft tokens.
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*
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* @param state Current state of this implementation
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* @param tokens Token history to search in
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* @param sampled Last sampled token
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* @return Vector of draft tokens, empty if no matching pattern is found
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*/
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llama_tokens common_ngram_simple_draft(
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common_ngram_simple_state & state,
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const llama_tokens & tokens, llama_token sampled) {
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// Simple implementation of self-speculative decoding without draft model, without ngram-map.
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//
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const size_t cur_len = tokens.size();
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// Only check every check_rate tokens to save compute
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// i.e., perform check if (cur_len - idx_last_check) >= check_rate
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if (state.idx_last_check + state.config.check_rate > cur_len) {
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llama_tokens draft_tokens;
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return draft_tokens;
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}
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size_t n_draft_min = state.config.size_ngram; // size of n-gram to lookup in token history
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size_t n_draft_max = state.config.size_mgram; // the m-gram following the found n-gram is used for draft
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// vector for tokens we want to verify.
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// return empty vector if there is no match.
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llama_tokens draft_tokens;
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// We need at least n_draft_min + n_draft_max + 1 tokens.
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if (cur_len <= static_cast<size_t>(n_draft_min + n_draft_max + 1)) {
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return draft_tokens;
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}
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// pattern search
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llama_tokens pattern;
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pattern.reserve(n_draft_min);
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for (size_t j = cur_len - n_draft_min + 1; j < cur_len; ++j) {
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pattern.push_back(tokens[j]);
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}
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pattern.push_back(sampled); // add the last token to the pattern
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// We do a search in the token history.
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state.idx_last_check = tokens.size();
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size_t match_pos = 0; // we ignore position 0, position 0 == no match
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// search backwards, but skip the current match (we are currently there)
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for (size_t j = cur_len - n_draft_min - 1; j > 0; --j) {
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bool match = true;
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for (size_t k = 0; k < pattern.size(); ++k) {
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if (tokens[j + k] != pattern[k]) {
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match = false;
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break;
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}
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}
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if (match) {
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match_pos = j;
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break;
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}
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}
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if (match_pos == 0) {
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return draft_tokens;
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}
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const size_t copy_max = std::min(
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n_draft_max,
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cur_len - (match_pos + n_draft_min)
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);
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if (copy_max < n_draft_min) {
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return draft_tokens;
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}
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LOG_DBG("%s: #tokens = %zu: found matching pattern at pos %zu, length %zu, draft length %zu\n",
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__func__, cur_len,
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match_pos, pattern.size(), copy_max);
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draft_tokens.reserve(copy_max);
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for (size_t j = 0; j < copy_max; ++j) {
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draft_tokens.push_back(tokens[match_pos + n_draft_min + j]);
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}
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return draft_tokens;
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}
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// n-gram map
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//
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// maximum number of counted values of a ngram map value.
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#define COMMON_NGRAM_MAX_VALUE_COUNT 16380
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@@ -262,14 +353,15 @@ void common_ngram_map_accept(common_ngram_map & map, uint16_t n_accepted) {
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// Print the values of a sublist of `llama_tokens & inp` to a string in the form [v0, v1, v2, ...].
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std::string common_tokens_to_str(const llama_tokens & inp, size_t start, size_t length) {
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std::string result = "[";
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std::ostringstream oss;
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oss << '[';
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for (size_t i = 0; i < length; ++i) {
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if (i > 0) {
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result += ", ";
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oss << ", ";
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}
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result += std::to_string(inp[start + i]);
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oss << inp[start + i];
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}
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result += "]";
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return result;
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oss << ']';
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return oss.str();
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}
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