vbatts/llama.cpp
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Cleanup STL headers + fix embedding examples + minor stuff

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This commit is contained in:
Georgi Gerganov 2023-03-25 20:51:14 +02:00
parent 55ad42af84
commit 03f7e33560
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GPG key ID: 449E073F9DC10735
4 changed files with 20 additions and 26 deletions
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llama.cpp
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@ -1261,10 +1261,10 @@ static llama_vocab::id llama_sample_top_p_top_k(
double repeat_penalty) {
auto & rng = lctx.rng;
const auto & vocab = lctx.vocab;
const auto & logits = lctx.logits;
const int n_logits = lctx.model.hparams.n_vocab;
int n_logits = vocab.id_to_token.size();
const auto & logits = lctx.logits;
const auto * plogits = logits.data() + logits.size() - n_logits;
std::vector<std::pair<double, llama_vocab::id>> logits_id;
logits_id.reserve(n_logits);
@ -1276,13 +1276,13 @@ static llama_vocab::id llama_sample_top_p_top_k(
// credit https://github.com/facebookresearch/llama/compare/main...shawwn:llama:main
if (std::find(last_n_tokens.begin(), last_n_tokens.end(), i) != last_n_tokens.end()) {
// if score < 0 then repetition penalty has to multiplied to reduce the previous token probability
if (logits[i] < 0.0) {
logits_id.push_back(std::make_pair(logits[i]*scale*repeat_penalty, i));
if (plogits[i] < 0.0) {
logits_id.push_back(std::make_pair(plogits[i]*scale*repeat_penalty, i));
} else {
logits_id.push_back(std::make_pair(logits[i]*scale/repeat_penalty, i));
logits_id.push_back(std::make_pair(plogits[i]*scale/repeat_penalty, i));
}
} else {
logits_id.push_back(std::make_pair(logits[i]*scale, i));
logits_id.push_back(std::make_pair(plogits[i]*scale, i));
}
}
}
@ -1677,6 +1677,8 @@ struct llama_context * llama_init_from_file(
}
const auto & hparams = ctx->model.hparams;
// resized during inference
if (params.logits_all) {
ctx->logits.reserve(hparams.n_ctx*hparams.n_vocab);
} else {
@ -1684,7 +1686,7 @@ struct llama_context * llama_init_from_file(
}
if (params.embedding){
ctx->embedding.reserve(hparams.n_embd);
ctx->embedding.resize(hparams.n_embd);
}
ctx->buf_compute.resize(MEM_REQ_EVAL.at(ctx->model.type));
@ -1761,6 +1763,10 @@ int llama_n_ctx(struct llama_context * ctx) {
return ctx->model.hparams.n_ctx;
}
int llama_n_embd(struct llama_context * ctx) {
return ctx->model.hparams.n_embd;
}
float * llama_get_logits(struct llama_context * ctx) {
return ctx->logits.data();
}