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llama : sanitize invalid tokens (#9357)

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* common : do not add null tokens during warmup

ggml-ci

* llama : check that the input tokens are valid

ggml-ci

* tests : fix batch size of bert model

ggml-ci
This commit is contained in:
Georgi Gerganov 2024-09-08 00:33:13 +03:00 committed by GitHub
parent e536426ded
commit faf69d4237
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GPG Key ID: B5690EEEBB952194
3 changed files with 26 additions and 4 deletions
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9
common/common.cpp
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@ -2690,10 +2690,15 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
llama_token bos = llama_token_bos(model);
llama_token eos = llama_token_eos(model);
// some models (e.g. T5) don't have a BOS token
if (bos != -1) {
if (bos != LLAMA_TOKEN_NULL) {
tmp.push_back(bos);
}
tmp.push_back(eos);
if (eos != LLAMA_TOKEN_NULL) {
tmp.push_back(eos);
}
if (tmp.empty()) {
tmp.push_back(0);
}
if (llama_model_has_encoder(model)) {
llama_encode(lctx, llama_batch_get_one(tmp.data(), tmp.size(), 0, 0));

7
examples/server/tests/features/embeddings.feature
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@ -9,8 +9,11 @@ Feature: llama.cpp server
And a model alias bert-bge-small
And 42 as server seed
And 2 slots
And 1024 as batch size
And 1024 as ubatch size
# the bert-bge-small model has context size of 512
# since the generated prompts are as big as the batch size, we need to set the batch size to 512
# ref: https://huggingface.co/BAAI/bge-small-en-v1.5/blob/5c38ec7c405ec4b44b94cc5a9bb96e735b38267a/config.json#L20
And 512 as batch size
And 512 as ubatch size
And 2048 KV cache size
And embeddings extraction
Then the server is starting

14
src/llama.cpp
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@ -16066,6 +16066,13 @@ static int llama_decode_internal(
return -1;
}
for (uint32_t i = 0; i < n_tokens_all; ++i) {
if (batch_all.token[i] < 0) {
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d", __func__, i, batch_all.token[i]);
return -1;
}
}
const auto & model = lctx.model;
const auto & hparams = model.hparams;
const auto & cparams = lctx.cparams;
@ -16358,6 +16365,13 @@ static int llama_encode_internal(
return -1;
}
for (uint32_t i = 0; i < n_tokens; ++i) {
if (batch.token[i] < 0) {
LLAMA_LOG_ERROR("%s: invalid token[%d] = %d", __func__, i, batch.token[i]);
return -1;
}
}
const auto & model = lctx.model;
const auto & hparams = model.hparams;
const auto & cparams = lctx.cparams;