llama : allow for user specified embedding pooling type (#5849)
* allow for user specified pooling type * llama : use enum types over int --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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5 changed files with 60 additions and 29 deletions
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@ -335,6 +335,16 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
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break;
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}
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params.yarn_beta_slow = std::stof(argv[i]);
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} else if (arg == "--pooling") {
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if (++i >= argc) {
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invalid_param = true;
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break;
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}
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std::string value(argv[i]);
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/**/ if (value == "none") { params.pooling_type = LLAMA_POOLING_TYPE_NONE; }
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else if (value == "mean") { params.pooling_type = LLAMA_POOLING_TYPE_MEAN; }
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else if (value == "cls") { params.pooling_type = LLAMA_POOLING_TYPE_CLS; }
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else { invalid_param = true; break; }
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} else if (arg == "--defrag-thold" || arg == "-dt") {
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if (++i >= argc) {
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invalid_param = true;
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@ -1014,6 +1024,8 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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printf(" --yarn-attn-factor N YaRN: scale sqrt(t) or attention magnitude (default: 1.0)\n");
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printf(" --yarn-beta-slow N YaRN: high correction dim or alpha (default: %.1f)\n", params.yarn_beta_slow);
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printf(" --yarn-beta-fast N YaRN: low correction dim or beta (default: %.1f)\n", params.yarn_beta_fast);
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printf(" --pooling {none,mean,cls}\n");
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printf(" pooling type for embeddings, use model default if unspecified\n");
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printf(" -dt N, --defrag-thold N\n");
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printf(" KV cache defragmentation threshold (default: %.1f, < 0 - disabled)\n", params.defrag_thold);
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printf(" --ignore-eos ignore end of stream token and continue generating (implies --logit-bias 2-inf)\n");
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@ -1296,6 +1308,7 @@ struct llama_context_params llama_context_params_from_gpt_params(const gpt_param
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cparams.yarn_beta_fast = params.yarn_beta_fast;
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cparams.yarn_beta_slow = params.yarn_beta_slow;
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cparams.yarn_orig_ctx = params.yarn_orig_ctx;
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cparams.pooling_type = params.pooling_type;
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cparams.defrag_thold = params.defrag_thold;
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cparams.offload_kqv = !params.no_kv_offload;
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