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embedding : evaluate prompt in batches (#2713)
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@ -72,23 +72,30 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "\n");
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}
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if (params.embedding){
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if (embd_inp.size() > 0) {
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if (llama_eval(ctx, embd_inp.data(), embd_inp.size(), n_past, params.n_threads)) {
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fprintf(stderr, "%s : failed to eval\n", __func__);
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return 1;
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}
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}
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const int n_embd = llama_n_embd(ctx);
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const auto embeddings = llama_get_embeddings(ctx);
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for (int i = 0; i < n_embd; i++) {
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printf("%f ", embeddings[i]);
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}
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printf("\n");
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if (embd_inp.size() > (size_t)params.n_ctx) {
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fprintf(stderr, "%s: error: prompt is longer than the context window (%zu tokens, n_ctx = %d)\n",
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__func__, embd_inp.size(), params.n_ctx);
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return 1;
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}
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while (!embd_inp.empty()) {
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int n_tokens = std::min(params.n_batch, (int) embd_inp.size());
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if (llama_eval(ctx, embd_inp.data(), n_tokens, n_past, params.n_threads)) {
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fprintf(stderr, "%s : failed to eval\n", __func__);
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return 1;
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}
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n_past += n_tokens;
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embd_inp.erase(embd_inp.begin(), embd_inp.begin() + n_tokens);
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}
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const int n_embd = llama_n_embd(ctx);
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const auto embeddings = llama_get_embeddings(ctx);
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for (int i = 0; i < n_embd; i++) {
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printf("%f ", embeddings[i]);
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}
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printf("\n");
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llama_print_timings(ctx);
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llama_free(ctx);
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llama_free_model(model);
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