fix auto schedule logic

This commit is contained in:
Lizonghang 2025-01-29 11:15:45 +04:00
parent 631daadd92
commit e7c6b830e6

View file

@ -1483,14 +1483,12 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
uint32_t n_world = params.n_world;
uint32_t my_rank = params.rank;
bool auto_schedule = params.n_layer_window[0] == 0;
if (auto_schedule) {
// get device profile
LOG_INF("\nstart profiling this device, this may take some seconds ...\n");
dev_info.rank = params.rank;
llama_profile_device(&dev_info, model, ml, params.gpu_mem, params.n_predict, params.n_ctx, params.cpuparams.n_threads, params.flash_attn);
}
// get device profile
LOG_INF("\nstart profiling this device, this may take some seconds ...\n");
dev_info.rank = params.rank;
llama_profile_device(&dev_info, model, ml, params.gpu_mem, params.n_predict, params.n_ctx, params.cpuparams.n_threads, params.flash_attn);
// create llama context
struct llama_context_params cparams = llama_context_params_from_gpt_params(params);
llama_context * lctx = llama_new_context_with_model(model, cparams);
@ -1502,24 +1500,21 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
mparams.n_layer_window[0] = n_layers;
llama_context_n_layer_window(lctx)[0] = n_layers;
} else {
uint32_t n_layer_window[32] = {0}, n_gpu_layers[32] = {0};
// initialize sockets
llama_init_sockets(lctx, n_world, my_rank);
uint32_t n_layer_window[32] = {0}, n_gpu_layers[32] = {0};
// 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;
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);
}
llama_gather_device_info(lctx, dev_info_set);
device_print_props(dev_info_set, n_world, model, cparams);
if (my_rank == 0) {
if (auto_schedule) {
// 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__);
@ -1527,21 +1522,14 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
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 {
// use the user-defined n_layer_window
std::copy(std::begin(params.n_layer_window), std::end(params.n_layer_window), n_layer_window);
llama_bcast_layer_setup(lctx, n_layer_window, nullptr);
}
} else {
llama_send_device_info(lctx, &dev_info);
llama_recv_layer_setup(lctx, n_layer_window, n_gpu_layers);
}