EngineX-Ascend/enginex-ascend-910-llama.cpp
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llama : add support for qwen3 reranker (#15824)

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This commit is contained in:
Douglas Hanley
2025-09-25 03:53:09 -05:00
committed by GitHub
parent dfcd53f7ec
commit b5bd037832
9 changed files with 166 additions and 78 deletions
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41
src/llama-graph.cpp
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@@ -204,7 +204,10 @@ void llm_graph_input_cls::set_input(const llama_ubatch * ubatch) {
std::vector<int> target_pos(n_seqs_unq, -1);
std::vector<int> target_row(n_seqs_unq, -1);
bool last = cparams.pooling_type == LLAMA_POOLING_TYPE_LAST;
const bool last = (
cparams.pooling_type == LLAMA_POOLING_TYPE_LAST ||
(cparams.pooling_type == LLAMA_POOLING_TYPE_RANK && arch == LLM_ARCH_QWEN3) // qwen3 reranking & embedding models use last token
);
for (int i = 0; i < n_tokens; ++i) {
const llama_pos pos = ubatch->pos[i];
@@ -1177,7 +1180,7 @@ ggml_tensor * llm_graph_context::build_inp_mean() const {
}
ggml_tensor * llm_graph_context::build_inp_cls() const {
auto inp = std::make_unique<llm_graph_input_cls>(cparams);
auto inp = std::make_unique<llm_graph_input_cls>(cparams, arch);
auto & cur = inp->cls;
@@ -1877,34 +1880,32 @@ void llm_graph_context::build_pooling(
case LLAMA_POOLING_TYPE_RANK:
{
ggml_tensor * inp_cls = build_inp_cls();
inp = ggml_get_rows(ctx0, inp, inp_cls);
cur = ggml_get_rows(ctx0, inp, inp_cls);
// classification head
// https://github.com/huggingface/transformers/blob/5af7d41e49bbfc8319f462eb45253dcb3863dfb7/src/transformers/models/roberta/modeling_roberta.py#L1566
if (cls) {
// classification head
// https://github.com/huggingface/transformers/blob/5af7d41e49bbfc8319f462eb45253dcb3863dfb7/src/transformers/models/roberta/modeling_roberta.py#L1566
cur = ggml_mul_mat(ctx0, cls, inp);
cur = ggml_mul_mat(ctx0, cls, cur);
if (cls_b) {
cur = ggml_add(ctx0, cur, cls_b);
}
cur = ggml_tanh(ctx0, cur);
}
// some models don't have `cls_out`, for example: https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
// https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/blob/cb5347e43979c3084a890e3f99491952603ae1b7/modeling_bert.py#L884-L896
if (cls_out) {
cur = ggml_mul_mat(ctx0, cls_out, cur);
if (cls_out_b) {
cur = ggml_add(ctx0, cur, cls_out_b);
}
}
} else if (cls_out) {
// Single layer classification head (direct projection)
// https://github.com/huggingface/transformers/blob/f4fc42216cd56ab6b68270bf80d811614d8d59e4/src/transformers/models/bert/modeling_bert.py#L1476
cur = ggml_mul_mat(ctx0, cls_out, inp);
// some models don't have `cls_out`, for example: https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
// https://huggingface.co/jinaai/jina-reranker-v1-tiny-en/blob/cb5347e43979c3084a890e3f99491952603ae1b7/modeling_bert.py#L884-L896
// Single layer classification head (direct projection)
// https://github.com/huggingface/transformers/blob/f4fc42216cd56ab6b68270bf80d811614d8d59e4/src/transformers/models/bert/modeling_bert.py#L1476
if (cls_out) {
cur = ggml_mul_mat(ctx0, cls_out, cur);
if (cls_out_b) {
cur = ggml_add(ctx0, cur, cls_out_b);
}
} else {
GGML_ABORT("RANK pooling requires either cls+cls_b or cls_out+cls_out_b");
}
// softmax for qwen3 reranker
if (arch == LLM_ARCH_QWEN3) {
cur = ggml_soft_max(ctx0, cur);
}
} break;
default: