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https://github.com/Lizonghang/prima.cpp.git
synced 2025-09-07 11:49:02 +00:00
fix auto schedule logic
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631daadd92
commit
e7c6b830e6
1 changed files with 19 additions and 31 deletions
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@ -1483,14 +1483,12 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
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uint32_t n_world = params.n_world;
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uint32_t my_rank = params.rank;
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bool auto_schedule = params.n_layer_window[0] == 0;
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if (auto_schedule) {
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// get device profile
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LOG_INF("\nstart profiling this device, this may take some seconds ...\n");
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dev_info.rank = params.rank;
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llama_profile_device(&dev_info, model, ml, params.gpu_mem, params.n_predict, params.n_ctx, params.cpuparams.n_threads, params.flash_attn);
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}
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// get device profile
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LOG_INF("\nstart profiling this device, this may take some seconds ...\n");
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dev_info.rank = params.rank;
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llama_profile_device(&dev_info, model, ml, params.gpu_mem, params.n_predict, params.n_ctx, params.cpuparams.n_threads, params.flash_attn);
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// create llama context
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struct llama_context_params cparams = llama_context_params_from_gpt_params(params);
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llama_context * lctx = llama_new_context_with_model(model, cparams);
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@ -1502,24 +1500,21 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
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mparams.n_layer_window[0] = n_layers;
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llama_context_n_layer_window(lctx)[0] = n_layers;
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} else {
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uint32_t n_layer_window[32] = {0}, n_gpu_layers[32] = {0};
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// initialize sockets
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llama_init_sockets(lctx, n_world, my_rank);
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uint32_t n_layer_window[32] = {0}, n_gpu_layers[32] = {0};
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// sychronize device profile to the master node
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struct device_info * dev_info_set = nullptr;
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if (my_rank == 0) {
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dev_info_set = (struct device_info *)malloc(n_world * sizeof(struct device_info));
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dev_info_set[0] = dev_info;
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if (auto_schedule) {
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// sychronize device profile to the master node
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struct device_info * dev_info_set = nullptr;
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if (my_rank == 0) {
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dev_info_set = (struct device_info *)malloc(n_world * sizeof(struct device_info));
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dev_info_set[0] = dev_info;
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llama_gather_device_info(lctx, dev_info_set);
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device_print_props(dev_info_set, n_world, model, cparams);
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} else {
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llama_send_device_info(lctx, &dev_info);
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}
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llama_gather_device_info(lctx, dev_info_set);
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device_print_props(dev_info_set, n_world, model, cparams);
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if (my_rank == 0) {
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if (auto_schedule) {
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// automatically determine n_layer_window and n_gpu_layers
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if (!assign_layers_to_device(n_world, my_rank, dev_info_set, n_layer_window, n_gpu_layers, model, cparams)) {
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LOG_ERR("%s: Invalid allocation by HiGHS solver\n", __func__);
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@ -1527,21 +1522,14 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
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llama_free_model(model);
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return iparams;
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}
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}
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} else {
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if (my_rank == 0) {
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// use the user-defined n_layer_window
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std::copy(std::begin(params.n_layer_window), std::end(params.n_layer_window), n_layer_window);
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}
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}
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if (my_rank == 0) {
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if (auto_schedule) {
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llama_bcast_layer_setup(lctx, n_layer_window, n_gpu_layers);
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} else {
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// use the user-defined n_layer_window
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std::copy(std::begin(params.n_layer_window), std::end(params.n_layer_window), n_layer_window);
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llama_bcast_layer_setup(lctx, n_layer_window, nullptr);
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}
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} else {
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llama_send_device_info(lctx, &dev_info);
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llama_recv_layer_setup(lctx, n_layer_window, n_gpu_layers);
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}
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