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llama : rework embeddings logic (#14208)

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* llama : rework embeddings logic

ggml-ci

* cont : fix rerank

ggml-ci

* cont : engrish [no ci]

* cont : fix rerank

ggml-ci

* server : support both embeddings and completions with single model

ggml-ci

* cont : avoid embeddings_org

ggml-ci
This commit is contained in:
Georgi Gerganov
2025-06-16 14:14:00 +03:00
committed by GitHub
parent 3ba0d843c6
commit d3e64b9f49
16 changed files with 159 additions and 114 deletions
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8
src/llama-kv-cache-recurrent.cpp
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@ -359,9 +359,7 @@ llama_pos llama_kv_cache_recurrent::seq_pos_max(llama_seq_id seq_id) const {
return result;
}
llama_memory_state_ptr llama_kv_cache_recurrent::init_batch(const llama_batch & batch, uint32_t n_ubatch, bool embd_pooled) {
GGML_UNUSED(embd_pooled);
llama_memory_state_ptr llama_kv_cache_recurrent::init_batch(const llama_batch & batch, uint32_t n_ubatch, bool embd_all) {
auto sbatch = llama_sbatch(batch, hparams.n_embd, false);
std::vector<llama_ubatch> ubatches;
@ -369,8 +367,8 @@ llama_memory_state_ptr llama_kv_cache_recurrent::init_batch(const llama_batch &
while (sbatch.n_tokens > 0) {
llama_ubatch ubatch;
if (embd_pooled) {
// Pooled embeddings cannot be split across ubatches (yet)
if (embd_all) {
// if all tokens are output, split by sequence
ubatch = sbatch.split_seq(n_ubatch);
} else {
ubatch = sbatch.split_equal(n_ubatch);