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llama : support multiple classifier outputs and labels (#13940)

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This commit is contained in:
Sigbjørn Skjæret
2025-06-06 09:03:25 +02:00
committed by GitHub
parent 1caae7fc6c
commit d17a809ef0
6 changed files with 101 additions and 24 deletions
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19
examples/embedding/embedding.cpp
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@ -236,9 +236,24 @@ int main(int argc, char ** argv) {
LOG("\n");
}
} else if (pooling_type == LLAMA_POOLING_TYPE_RANK) {
const uint32_t n_cls_out = llama_model_n_cls_out(model);
std::vector<std::string> cls_out_labels;
for (uint32_t i = 0; i < n_cls_out; i++) {
const char * label = llama_model_cls_label(model, i);
const std::string label_i(label == nullptr ? "" : label);
cls_out_labels.emplace_back(label_i.empty() ? std::to_string(i) : label_i);
}
for (int j = 0; j < n_embd_count; j++) {
// NOTE: if you change this log - update the tests in ci/run.sh
LOG("rerank score %d: %8.3f\n", j, emb[j * n_embd]);
for (uint32_t i = 0; i < n_cls_out; i++) {
// NOTE: if you change this log - update the tests in ci/run.sh
if (n_cls_out == 1) {
LOG("rerank score %d: %8.3f\n", j, emb[j * n_embd]);
} else {
LOG("rerank score %d: %8.3f [%s]\n", j, emb[j * n_embd + i], cls_out_labels[i].c_str());
}
}
}
} else {
// print the first part of the embeddings or for a single prompt, the full embedding