vbatts/llama.cpp
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Reduce code duplication between cuda and opencl branches

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0cc4m 2023-06-01 07:33:32 +02:00
parent 5e1eecfe12
commit 457aaf5bad
1 changed files with 6 additions and 12 deletions
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18
llama.cpp
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@ -1012,8 +1012,10 @@ static void llama_model_load_internal(
#if defined(GGML_USE_CUBLAS)
#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CUDA
fprintf(stderr, "%s: using CUDA for GPU acceleration\n", __func__);
#elif defined(GGML_USE_CLBLAST)
#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CL
fprintf(stderr, "%s: using OpenCL for GPU acceleration\n", __func__);
#else
#define LLAMA_BACKEND_OFFLOAD GGML_BACKEND_CPU
#endif
@ -1095,22 +1097,14 @@ static void llama_model_load_internal(
fprintf(stderr, "%s: mem required = %7.2f MB (+ %7.2f MB per state)\n", __func__,
mem_required / 1024.0 / 1024.0, mem_required_state / 1024.0 / 1024.0);
#if defined(GGML_USE_CUBLAS)
const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer));
fprintf(stderr, "%s: [cublas] offloading %d layers to GPU\n", __func__, n_gpu);
#if defined(GGML_USE_CUBLAS) || defined(GGML_USE_CLBLAST)
fprintf(stderr, "%s: offloading %d layers to GPU\n", __func__, n_gpu);
if (n_gpu_layers > (int) hparams.n_layer) {
fprintf(stderr, "%s: [cublas] offloading output layer to GPU\n", __func__);
fprintf(stderr, "%s: offloading output layer to GPU\n", __func__);
}
fprintf(stderr, "%s: [cublas] total VRAM used: %zu MB\n", __func__, vram_total / 1024 / 1024);
#elif defined(GGML_USE_CLBLAST)
const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer));
fprintf(stderr, "%s: [opencl] offloading %d layers to GPU\n", __func__, n_gpu);
if (n_gpu_layers > (int) hparams.n_layer) {
fprintf(stderr, "%s: [opencl] offloading output layer to GPU\n", __func__);
}
fprintf(stderr, "%s: [opencl] total VRAM used: %zu MB\n", __func__, vram_total / 1024 / 1024);
fprintf(stderr, "%s: total VRAM used: %zu MB\n", __func__, vram_total / 1024 / 1024);
#else
(void) n_gpu_layers;
#endif