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speculative : avoid grammar_mem

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This commit is contained in:
Georgi Gerganov 2023-09-04 15:42:54 +03:00
parent e7dc5b08ac
commit 2db2471c13
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1 changed files with 14 additions and 31 deletions
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examples/speculative/speculative.cpp
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@ -116,8 +116,6 @@ int main(int argc, char ** argv) {
grammar_parser::parse_state parsed_grammar;
std::vector<llama_grammar *> grammar_mem(n_draft, NULL);
// if requested - load the grammar, error checking is omitted for brevity
if (!params.grammar.empty()) {
parsed_grammar = grammar_parser::parse(params.grammar.c_str());
@ -127,7 +125,6 @@ int main(int argc, char ** argv) {
}
std::vector<const llama_grammar_element *> grammar_rules(parsed_grammar.c_rules());
grammar_dft = llama_grammar_init(grammar_rules.data(), grammar_rules.size(), parsed_grammar.symbol_ids.at("root"));
grammar_tgt = llama_grammar_init(grammar_rules.data(), grammar_rules.size(), parsed_grammar.symbol_ids.at("root"));
}
@ -173,11 +170,6 @@ int main(int argc, char ** argv) {
if (i_dft < (int) drafted.size()) {
LOG("the %dth drafted token (%d, '%s') does not match the sampled target token (%d, '%s') - rejected\n",
i_dft, drafted[i_dft], llama_token_to_piece(ctx_dft, drafted[i_dft]).c_str(), id, token_str.c_str());
if (grammar_mem[i_dft]) {
grammar_dft = llama_grammar_copy(grammar_mem[i_dft]);
LOG("restored draft grammar state %d\n", i_dft);
}
} else {
LOG("out of drafted tokens\n");
}
@ -188,34 +180,25 @@ int main(int argc, char ** argv) {
drafted.clear();
drafted.push_back(id);
if (grammar_dft != NULL) {
llama_grammar_accept_token(ctx_dft, grammar_dft, id);
}
break;
}
for (int i = 0; i < (int) grammar_mem.size(); ++i) {
auto & g = grammar_mem[i];
if (g) {
LOG("freeing grammar state %d\n", i);
llama_grammar_free(g);
g = NULL;
}
}
if (n_predict > params.n_predict || has_eos) {
break;
}
if (grammar_tgt) {
if (grammar_dft) {
llama_grammar_free(grammar_dft);
}
grammar_dft = llama_grammar_copy(grammar_tgt);
LOG("copied target grammar to draft grammar\n");
}
// sample n_draft tokens from the draft model using greedy decoding
int n_past_cur = n_past_dft;
for (int i = 0; i < n_draft; ++i) {
// remember the grammar state
if (grammar_dft != NULL) {
grammar_mem[i] = llama_grammar_copy(grammar_dft);
}
float * logits = llama_get_logits(ctx_dft);
candidates.clear();
@ -238,17 +221,13 @@ int main(int argc, char ** argv) {
// TODO: better logic?
if (cur_p.data[0].p < 2*cur_p.data[1].p) {
LOG("stopping drafting, probability too low: %8.f < 2*%8.f\n", cur_p.data[0].p, cur_p.data[1].p);
LOG("stopping drafting, probability too low: %.3f < 2*%.3f\n", cur_p.data[0].p, cur_p.data[1].p);
break;
}
// drafted token
const llama_token id = cur_p.data[0].id;
if (grammar_dft != NULL) {
llama_grammar_accept_token(ctx_dft, grammar_dft, id);
}
drafted.push_back(id);
++n_drafted;
@ -260,6 +239,10 @@ int main(int argc, char ** argv) {
// evaluate the drafted token on the draft model
llama_eval(ctx_dft, &drafted.back(), 1, n_past_cur, params.n_threads);
++n_past_cur;
if (grammar_dft != NULL) {
llama_grammar_accept_token(ctx_dft, grammar_dft, id);
}
}
// evaluate the target model on the drafted tokens