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llama : fix n_vocab init for 'no_vocab' case (#9511)

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* llama: fixed n_vocab for `no_vocab` models

* llama: updated error output for `llama_decode_internal` and `llama_encode_internal`

* llama: log warning if there's no vocab_size in metadata

* llama: correct vocab size for logging

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
This commit is contained in:
Michael Podvitskiy 2024-09-17 12:18:22 +02:00 committed by GitHub
parent 0226613853
commit 8344ef58f8
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1 changed files with 12 additions and 5 deletions
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src/llama.cpp
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@ -6107,8 +6107,15 @@ static void llm_load_vocab(
vocab.special_mask_id = -1;
vocab.linefeed_id = -1;
// read vocab size from metadata
if (!ml.get_key(LLM_KV_VOCAB_SIZE, vocab.n_vocab, false)) {
vocab.n_vocab = 0;
LLAMA_LOG_WARN("%s: there is no vocab_size in metadata, vocab.n_vocab will be set to %u\n", __func__, vocab.n_vocab);
}
return;
} else if (tokenizer_model == "llama") {
}
if (tokenizer_model == "llama") {
vocab.type = LLAMA_VOCAB_TYPE_SPM;
// default special tokens
@ -16653,7 +16660,7 @@ static int llama_decode_internal(
const uint32_t n_tokens_all = batch_all.n_tokens;
if (n_tokens_all == 0) {
LLAMA_LOG_ERROR("%s: n_tokens == 0", __func__);
LLAMA_LOG_ERROR("%s: n_tokens == 0\n", __func__);
return -1;
}
@ -16666,7 +16673,7 @@ static int llama_decode_internal(
if (batch_all.token) {
for (uint32_t i = 0; i < n_tokens_all; ++i) {
if (batch_all.token[i] < 0 || (uint32_t)batch_all.token[i] >= model.vocab.n_vocab) {
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d", __func__, i, batch_all.token[i]);
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d\n", __func__, i, batch_all.token[i]);
return -1;
}
}
@ -16954,7 +16961,7 @@ static int llama_encode_internal(
const uint32_t n_tokens = batch.n_tokens;
if (n_tokens == 0) {
LLAMA_LOG_ERROR("%s: n_tokens == 0", __func__);
LLAMA_LOG_ERROR("%s: n_tokens == 0\n", __func__);
return -1;
}
@ -16967,7 +16974,7 @@ static int llama_encode_internal(
if (batch.token) {
for (uint32_t i = 0; i < n_tokens; ++i) {
if (batch.token[i] < 0 || (uint32_t)batch.token[i] >= model.vocab.n_vocab) {
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d", __func__, i, batch.token[i]);
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d\n", __func__, i, batch.token[i]);
return -1;
}
}