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Lizonghang 2025-01-28 16:36:47 +04:00
parent 36f353e374
commit 631daadd92
3 changed files with 65 additions and 53 deletions
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85
common/common.cpp
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@ -1482,7 +1482,7 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
device_info dev_info;
uint32_t n_world = params.n_world;
uint32_t my_rank = params.rank;
bool auto_schedule = n_world > 1 && params.n_layer_window[0] == 0;
bool auto_schedule = params.n_layer_window[0] == 0;
if (auto_schedule) {
// get device profile
@ -1495,33 +1495,52 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
struct llama_context_params cparams = llama_context_params_from_gpt_params(params);
llama_context * lctx = llama_new_context_with_model(model, cparams);
// initialize sockets
llama_init_sockets(lctx, n_world, my_rank);
if (auto_schedule) {
// sychronize device profile to the master node
struct device_info * dev_info_set = nullptr;
if (my_rank == 0) {
dev_info_set = (struct device_info *)malloc(n_world * sizeof(struct device_info));
dev_info_set[0] = dev_info;
llama_gather_device_info(lctx, dev_info_set);
device_print_props(dev_info_set, n_world, model, cparams);
} else {
llama_send_device_info(lctx, &dev_info);
}
if (n_world == 1) {
uint32_t n_layers = llama_model_n_layers(model);
params.n_layer_window[0] = n_layers;
cparams.n_layer_window[0] = n_layers;
mparams.n_layer_window[0] = n_layers;
llama_context_n_layer_window(lctx)[0] = n_layers;
} else {
// initialize sockets
llama_init_sockets(lctx, n_world, my_rank);
uint32_t n_layer_window[32] = {0}, n_gpu_layers[32] = {0};
if (my_rank == 0) {
// automatically determine n_layer_window and n_gpu_layers
if (!assign_layers_to_device(n_world, my_rank, dev_info_set, n_layer_window, n_gpu_layers, model, cparams)) {
LOG_ERR("%s: Invalid allocation by HiGHS solver\n", __func__);
llama_free(lctx);
llama_free_model(model);
return iparams;
if (auto_schedule) {
// sychronize device profile to the master node
struct device_info * dev_info_set = nullptr;
if (my_rank == 0) {
dev_info_set = (struct device_info *)malloc(n_world * sizeof(struct device_info));
dev_info_set[0] = dev_info;
llama_gather_device_info(lctx, dev_info_set);
device_print_props(dev_info_set, n_world, model, cparams);
} else {
llama_send_device_info(lctx, &dev_info);
}
if (my_rank == 0) {
// automatically determine n_layer_window and n_gpu_layers
if (!assign_layers_to_device(n_world, my_rank, dev_info_set, n_layer_window, n_gpu_layers, model, cparams)) {
LOG_ERR("%s: Invalid allocation by HiGHS solver\n", __func__);
llama_free(lctx);
llama_free_model(model);
return iparams;
}
}
} else {
if (my_rank == 0) {
// use the user-defined n_layer_window
std::copy(std::begin(params.n_layer_window), std::end(params.n_layer_window), n_layer_window);
}
}
if (my_rank == 0) {
if (auto_schedule) {
llama_bcast_layer_setup(lctx, n_layer_window, n_gpu_layers);
} else {
llama_bcast_layer_setup(lctx, n_layer_window, nullptr);
}
// synchronize the new n_layer_window and n_gpu_layers to other nodes
llama_bcast_layer_setup(lctx, n_layer_window, n_gpu_layers);
} else {
llama_recv_layer_setup(lctx, n_layer_window, n_gpu_layers);
}
@ -1532,16 +1551,12 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
std::copy(std::begin(n_layer_window), std::end(n_layer_window), mparams.n_layer_window);
std::copy(std::begin(n_layer_window), std::end(n_layer_window), llama_context_n_layer_window(lctx));
params.n_gpu_layers = n_gpu_layers[my_rank];
cparams.n_gpu_layers = n_gpu_layers[my_rank];
mparams.n_gpu_layers = n_gpu_layers[my_rank];
llama_model_set_n_gpu_layers(model, n_gpu_layers[my_rank]);
} else if (n_world == 1) {
uint32_t n_layers = llama_model_n_layers(model);
params.n_layer_window[0] = n_layers;
cparams.n_layer_window[0] = n_layers;
mparams.n_layer_window[0] = n_layers;
llama_context_n_layer_window(lctx)[0] = n_layers;
if (params.n_gpu_layers > 0) {
params.n_gpu_layers = n_gpu_layers[my_rank];
cparams.n_gpu_layers = n_gpu_layers[my_rank];
mparams.n_gpu_layers = n_gpu_layers[my_rank];
llama_model_set_n_gpu_layers(model, n_gpu_layers[my_rank]);
}
}
LOG_INF("\nUsing window size: %d, GPU layers: %d\n\n", cparams.n_layer_window[my_rank], cparams.n_gpu_layers);