ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type (#15797)
* ggml-backend : add GGML_BACKEND_DEVICE_TYPE_IGPU device type ggml-backend : add device id to device props llama : only use iGPU devices if there are no GPU devices llama : do not use multiple devices from different backends with the same device id
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@ -132,6 +132,8 @@ extern "C" {
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GGML_BACKEND_DEVICE_TYPE_CPU,
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// GPU device using dedicated memory
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GGML_BACKEND_DEVICE_TYPE_GPU,
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// integrated GPU device using host memory
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GGML_BACKEND_DEVICE_TYPE_IGPU,
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// accelerator devices intended to be used together with the CPU backend (e.g. BLAS or AMX)
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GGML_BACKEND_DEVICE_TYPE_ACCEL
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};
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@ -150,11 +152,21 @@ extern "C" {
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// all the device properties
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struct ggml_backend_dev_props {
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// device name
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const char * name;
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// device description
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const char * description;
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// device free memory in bytes
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size_t memory_free;
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// device total memory in bytes
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size_t memory_total;
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// device type
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enum ggml_backend_dev_type type;
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// device id
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// for PCI devices, this should be the PCI bus id formatted as "domain:bus:device.function" (e.g. "0000:01:00.0")
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// if the id is unknown, this should be NULL
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const char * device_id;
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// device capabilities
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struct ggml_backend_dev_caps caps;
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};
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@ -8,7 +8,7 @@
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extern "C" {
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#endif
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#define GGML_BACKEND_API_VERSION 1
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#define GGML_BACKEND_API_VERSION 2
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//
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// Backend buffer type
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@ -400,9 +400,8 @@ ggml_backend_t ggml_backend_init_by_type(enum ggml_backend_dev_type type, const
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ggml_backend_t ggml_backend_init_best(void) {
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ggml_backend_dev_t dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_GPU);
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if (!dev) {
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dev = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
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}
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dev = dev ? dev : ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_IGPU);
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dev = dev ? dev : ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
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if (!dev) {
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return nullptr;
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}
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@ -3210,6 +3210,7 @@ struct ggml_backend_cuda_device_context {
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int device;
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std::string name;
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std::string description;
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std::string pci_bus_id;
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};
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static const char * ggml_backend_cuda_device_get_name(ggml_backend_dev_t dev) {
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@ -3234,9 +3235,12 @@ static enum ggml_backend_dev_type ggml_backend_cuda_device_get_type(ggml_backend
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}
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static void ggml_backend_cuda_device_get_props(ggml_backend_dev_t dev, ggml_backend_dev_props * props) {
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ggml_backend_cuda_device_context * ctx = (ggml_backend_cuda_device_context *)dev->context;
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props->name = ggml_backend_cuda_device_get_name(dev);
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props->description = ggml_backend_cuda_device_get_description(dev);
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props->type = ggml_backend_cuda_device_get_type(dev);
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props->device_id = ctx->pci_bus_id.empty() ? nullptr : ctx->pci_bus_id.c_str();
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ggml_backend_cuda_device_get_memory(dev, &props->memory_free, &props->memory_total);
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bool host_buffer = getenv("GGML_CUDA_NO_PINNED") == nullptr;
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@ -3804,6 +3808,10 @@ ggml_backend_reg_t ggml_backend_cuda_reg() {
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CUDA_CHECK(cudaGetDeviceProperties(&prop, i));
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dev_ctx->description = prop.name;
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char pci_bus_id[16] = {};
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snprintf(pci_bus_id, sizeof(pci_bus_id), "%04x:%02x:%02x.0", prop.pciDomainID, prop.pciBusID, prop.pciDeviceID);
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dev_ctx->pci_bus_id = pci_bus_id;
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ggml_backend_dev_t dev = new ggml_backend_device {
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/* .iface = */ ggml_backend_cuda_device_interface,
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/* .reg = */ ®,
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@ -12113,6 +12113,7 @@ static ggml_backend_buffer_type_t ggml_backend_vk_device_get_host_buffer_type(gg
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static enum ggml_backend_dev_type ggml_backend_vk_device_get_type(ggml_backend_dev_t dev) {
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UNUSED(dev);
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// TODO: return GGML_BACKEND_DEVICE_TYPE_IGPU for integrated GPUs
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return GGML_BACKEND_DEVICE_TYPE_GPU;
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}
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@ -12120,6 +12121,7 @@ static void ggml_backend_vk_device_get_props(ggml_backend_dev_t dev, struct ggml
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props->name = ggml_backend_vk_device_get_name(dev);
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props->description = ggml_backend_vk_device_get_description(dev);
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props->type = ggml_backend_vk_device_get_type(dev);
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// TODO: set props->device_id to PCI bus id
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ggml_backend_vk_device_get_memory(dev, &props->memory_free, &props->memory_total);
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props->caps = {
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/* .async = */ false,
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@ -59,6 +59,7 @@ bool llama_supports_mlock(void) {
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bool llama_supports_gpu_offload(void) {
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return ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_GPU) != nullptr ||
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ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_IGPU) != nullptr ||
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llama_supports_rpc();
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}
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@ -184,8 +185,13 @@ static struct llama_model * llama_model_load_from_file_impl(
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model->devices.push_back(*dev);
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}
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} else {
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// default device selection
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// build list of available devices
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std::vector<ggml_backend_dev_t> gpus;
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std::vector<ggml_backend_dev_t> igpus;
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std::vector<ggml_backend_dev_t> rpc_servers;
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// use all available devices
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for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
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ggml_backend_dev_t dev = ggml_backend_dev_get(i);
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switch (ggml_backend_dev_type(dev)) {
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@ -194,19 +200,51 @@ static struct llama_model * llama_model_load_from_file_impl(
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// skip CPU backends since they are handled separately
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break;
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case GGML_BACKEND_DEVICE_TYPE_GPU:
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case GGML_BACKEND_DEVICE_TYPE_GPU: {
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ggml_backend_reg_t reg = ggml_backend_dev_backend_reg(dev);
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if (ggml_backend_reg_name(reg) == std::string("RPC")) {
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rpc_servers.push_back(dev);
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} else {
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model->devices.push_back(dev);
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// check if there is already a GPU with the same device id
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ggml_backend_dev_props props;
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ggml_backend_dev_get_props(dev, &props);
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auto it = std::find_if(gpus.begin(), gpus.end(), [&props](ggml_backend_dev_t d) {
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ggml_backend_dev_props d_props;
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ggml_backend_dev_get_props(d, &d_props);
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if (props.device_id && d_props.device_id) {
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return strcmp(props.device_id, d_props.device_id) == 0;
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}
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return false;
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});
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if (it != gpus.end()) {
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LLAMA_LOG_INFO("%s: skipping device %s (%s) with id %s - already using device %s (%s) with the same id\n",
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__func__,
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ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
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props.device_id ? props.device_id : "unknown id",
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ggml_backend_dev_name(*it), ggml_backend_dev_description(*it));
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} else {
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gpus.push_back(dev);
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}
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}
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break;
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}
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case GGML_BACKEND_DEVICE_TYPE_IGPU:
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igpus.push_back(dev);
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break;
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}
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// add RPC servers at the front of the list
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if (!rpc_servers.empty()) {
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}
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// add RPC servers at the front of the list to minimize network transfers
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model->devices.insert(model->devices.begin(), rpc_servers.begin(), rpc_servers.end());
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// add GPUs
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model->devices.insert(model->devices.end(), gpus.begin(), gpus.end());
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// add integrated GPUs only if no other devices were found
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if (model->devices.empty()) {
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model->devices.insert(model->devices.end(), igpus.begin(), igpus.end());
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}
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}
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@ -227,9 +265,12 @@ static struct llama_model * llama_model_load_from_file_impl(
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}
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for (auto * dev : model->devices) {
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size_t free, total; // NOLINT
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ggml_backend_dev_memory(dev, &free, &total);
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LLAMA_LOG_INFO("%s: using device %s (%s) - %zu MiB free\n", __func__, ggml_backend_dev_name(dev), ggml_backend_dev_description(dev), free/1024/1024);
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ggml_backend_dev_props props;
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ggml_backend_dev_get_props(dev, &props);
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LLAMA_LOG_INFO("%s: using device %s (%s) (%s) - %zu MiB free\n", __func__,
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ggml_backend_dev_name(dev), ggml_backend_dev_description(dev),
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props.device_id ? props.device_id : "unknown id",
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props.memory_free/1024/1024);
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}
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const int status = llama_model_load(path_model, splits, *model, params);
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@ -128,7 +128,7 @@ static std::string get_gpu_info() {
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for (size_t i = 0; i < ggml_backend_dev_count(); i++) {
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auto * dev = ggml_backend_dev_get(i);
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auto dev_type = ggml_backend_dev_type(dev);
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if (dev_type == GGML_BACKEND_DEVICE_TYPE_GPU) {
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if (dev_type == GGML_BACKEND_DEVICE_TYPE_GPU || dev_type == GGML_BACKEND_DEVICE_TYPE_IGPU) {
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gpu_list.push_back(ggml_backend_dev_description(dev));
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}
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}
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@ -945,6 +945,7 @@ struct cmd_params_instance {
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exit(1);
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}
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}
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// FIXME: use llama.cpp device selection logic
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// add local GPU devices if any
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for (size_t i = 0; i < ggml_backend_dev_count(); ++i) {
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ggml_backend_dev_t dev = ggml_backend_dev_get(i);
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@ -957,6 +958,10 @@ struct cmd_params_instance {
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case GGML_BACKEND_DEVICE_TYPE_GPU:
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devices.push_back(dev);
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break;
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case GGML_BACKEND_DEVICE_TYPE_IGPU:
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// iGPUs are not used when there are RPC servers
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break;
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}
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}
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devices.push_back(nullptr);
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