llama: offload output layer to GPU first (#18148)
This commit is contained in:
+7
-5
@@ -2378,10 +2378,10 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
|
||||
if (cpu_dev == nullptr) {
|
||||
throw std::runtime_error(format("%s: no CPU backend found", __func__));
|
||||
}
|
||||
const int i_gpu_start = std::max((int) hparams.n_layer - n_gpu_layers, (int) 0);
|
||||
const int act_gpu_layers = devices.empty() ? 0 : std::min(n_gpu_layers, (int)n_layer + 1);
|
||||
const int i_gpu_start = std::max(int(hparams.n_layer) + 1 - n_gpu_layers, 0);
|
||||
const int act_gpu_layers = devices.empty() ? 0 : std::min(n_gpu_layers, int(n_layer) + 1);
|
||||
auto get_layer_buft_list = [&](int il) -> llama_model::impl::layer_dev {
|
||||
const bool is_swa = il < (int) hparams.n_layer && hparams.is_swa(il);
|
||||
const bool is_swa = il < int(hparams.n_layer) && hparams.is_swa(il);
|
||||
if (il < i_gpu_start || (il - i_gpu_start) >= act_gpu_layers) {
|
||||
LLAMA_LOG_DEBUG("load_tensors: layer %3d assigned to device %s, is_swa = %d\n", il, ggml_backend_dev_name(cpu_dev), is_swa);
|
||||
return {cpu_dev, &pimpl->cpu_buft_list};
|
||||
@@ -6693,10 +6693,12 @@ bool llama_model::load_tensors(llama_model_loader & ml) {
|
||||
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);
|
||||
if (n_gpu_layers > (int) hparams.n_layer) {
|
||||
int n_repeating = n_gpu;
|
||||
if (n_repeating > 0) {
|
||||
LLAMA_LOG_INFO("%s: offloading output layer to GPU\n", __func__);
|
||||
n_repeating--;
|
||||
}
|
||||
LLAMA_LOG_INFO("%s: offloading %d repeating layers to GPU\n", __func__, n_repeating);
|
||||
|
||||
const int max_backend_supported_layers = hparams.n_layer + 1;
|
||||
const int max_offloadable_layers = hparams.n_layer + 1;
|
||||
|
||||
Reference in New Issue
Block a user