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	CUDA: use only 1 thread if fully offloaded (#2915)
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		| @@ -3765,6 +3765,15 @@ static bool llama_eval_internal( | ||||
|         n_threads = std::min(4, n_threads); | ||||
|     } | ||||
|  | ||||
|     // If all tensors can be run on the GPU then using more than 1 thread is detrimental. | ||||
|     const bool full_offload_supported = model.arch == LLM_ARCH_LLAMA || | ||||
|         model.arch == LLM_ARCH_BAICHUAN || | ||||
|         model.arch == LLM_ARCH_FALCON; | ||||
|     const bool fully_offloaded = model.n_gpu_layers >= (int) hparams.n_layer + 3; | ||||
|     if (ggml_cpu_has_cublas() && full_offload_supported && fully_offloaded) { | ||||
|         n_threads = 1; | ||||
|     } | ||||
|  | ||||
|     struct ggml_tensor * res        = gf->nodes[gf->n_nodes - 1]; | ||||
|     struct ggml_tensor * embeddings = gf->nodes[gf->n_nodes - 2]; | ||||
|  | ||||
|   | ||||
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	 Johannes Gäßler
					Johannes Gäßler