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https://github.com/LostRuins/koboldcpp.git
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common: apply CPU parameters across tools (#27026)
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@@ -160,47 +160,6 @@ int llama_completion(int argc, char ** argv) {
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// start measuring performance timings from here
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llama_perf_context_reset(ctx);
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LOG_INF("%s: llama threadpool init, n_threads = %d\n", __func__, (int) params.cpuparams.n_threads);
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auto * cpu_dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
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if (!cpu_dev) {
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LOG_ERR("%s: no CPU backend found\n", __func__);
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return 1;
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}
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auto * reg = ggml_backend_dev_backend_reg(cpu_dev);
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auto * ggml_threadpool_new_fn = (decltype(ggml_threadpool_new) *) ggml_backend_reg_get_proc_address(reg, "ggml_threadpool_new");
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auto * ggml_threadpool_free_fn = (decltype(ggml_threadpool_free) *) ggml_backend_reg_get_proc_address(reg, "ggml_threadpool_free");
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struct ggml_threadpool_params tpp_batch =
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ggml_threadpool_params_from_cpu_params(params.cpuparams_batch);
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struct ggml_threadpool_params tpp =
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ggml_threadpool_params_from_cpu_params(params.cpuparams);
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if (!set_process_priority(params.cpuparams.priority)) {
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LOG_ERR("%s: error: failed to set process priority\n", __func__);
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return 1;
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}
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struct ggml_threadpool * threadpool_batch = NULL;
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if (!ggml_threadpool_params_match(&tpp, &tpp_batch)) {
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threadpool_batch = ggml_threadpool_new_fn(&tpp_batch);
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if (!threadpool_batch) {
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LOG_ERR("%s: batch threadpool create failed : n_threads %d\n", __func__, tpp_batch.n_threads);
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return 1;
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}
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// start the non-batch threadpool in the paused state
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tpp.paused = true;
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}
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struct ggml_threadpool * threadpool = ggml_threadpool_new_fn(&tpp);
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if (!threadpool) {
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LOG_ERR("%s: threadpool create failed : n_threads %d\n", __func__, tpp.n_threads);
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return 1;
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}
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llama_attach_threadpool(ctx, threadpool, threadpool_batch);
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const int n_ctx_train = llama_model_n_ctx_train(model);
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const int n_ctx = llama_n_ctx(ctx);
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@@ -993,8 +952,5 @@ int llama_completion(int argc, char ** argv) {
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llama_backend_free();
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ggml_threadpool_free_fn(threadpool);
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ggml_threadpool_free_fn(threadpool_batch);
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return 0;
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}
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