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llama : do not print "offloading layers" message in CPU-only builds #5416

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Feb 8, 2024
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llama : do not print "offloading layers" message in CPU-only builds #5416

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10 changes: 5 additions & 5 deletions llama.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -4209,8 +4209,7 @@ static bool llm_load_tensors(
ctx_bufs.emplace_back(ctx, buf);
}

// print memory requirements
{
if (llama_supports_gpu_offload()) {
const int n_gpu = std::min(n_gpu_layers, int(hparams.n_layer));

LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_gpu);
Expand All @@ -4222,10 +4221,11 @@ static bool llm_load_tensors(
const int max_offloadable_layers = hparams.n_layer + 1;

LLAMA_LOG_INFO("%s: offloaded %d/%d layers to GPU\n", __func__, std::min(n_gpu_layers, max_offloadable_layers), max_backend_supported_layers);
}

for (ggml_backend_buffer_t buf : model.bufs) {
LLAMA_LOG_INFO("%s: %10s buffer size = %8.2f MiB\n", __func__, ggml_backend_buffer_name(buf), ggml_backend_buffer_get_size(buf) / 1024.0 / 1024.0);
}
// print memory requirements
for (ggml_backend_buffer_t buf : model.bufs) {
LLAMA_LOG_INFO("%s: %10s buffer size = %8.2f MiB\n", __func__, ggml_backend_buffer_name(buf), ggml_backend_buffer_get_size(buf) / 1024.0 / 1024.0);
}

// populate tensors_by_name
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