spec: single device drafter should create meta backend wrapper (#28390)
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+8
-2
@@ -894,6 +894,12 @@ static bool common_params_parse_ex(int argc, char ** argv, common_params_context
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postprocess_cpu_params(params.speculative.draft.cpuparams, ¶ms.cpuparams);
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postprocess_cpu_params(params.speculative.draft.cpuparams_batch, ¶ms.cpuparams_batch);
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// default the mmproj device to the global device selection if not set explicitly with -mmdev
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if (params.mmproj_use_gpu && params.mmproj_device == nullptr && !params.devices.empty()) {
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params.mmproj_device = params.devices.front();
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params.mmproj_use_gpu = params.mmproj_device != nullptr;
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}
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if (params.prompt_cache_all && (params.interactive || params.interactive_first)) {
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throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
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}
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@@ -2610,7 +2616,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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add_opt(common_arg(
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// note: "-mmdev" must sort after "--rpc" in the preset map, else RPC devices are not registered yet
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{"-mmdev", "--mmproj-device"}, "DEVICE",
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"device to use for multimodal projector (none = don't offload, default: auto)\n"
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"device to use for multimodal projector (none = don't offload, default: follows --device)\n"
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"use --list-devices to see a list of available devices",
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[](common_params & params, const std::string & value) {
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if (value == "none") {
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@@ -4229,7 +4235,7 @@ common_params_context common_params_parser_init(common_params & params, llama_ex
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).set_spec().set_examples({LLAMA_EXAMPLE_SPECULATIVE, LLAMA_EXAMPLE_SERVER, LLAMA_EXAMPLE_CLI}).set_env("LLAMA_ARG_SPEC_DRAFT_BACKEND_SAMPLING"));
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add_opt(common_arg(
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{"--spec-draft-device", "-devd", "--device-draft"}, "<dev1,dev2,..>",
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"comma-separated list of devices to use for offloading the draft model (none = don't offload)\n"
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"comma-separated list of devices to use for offloading the draft model (none = don't offload, default: follows --device)\n"
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"use --list-devices to see a list of available devices",
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[](common_params & params, const std::string & value) {
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params.speculative.draft.devices = parse_device_list(value);
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+12
-1
@@ -2467,11 +2467,22 @@ common_params common_base_params_to_speculative(const common_params & params) {
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result.pooling_type = LLAMA_POOLING_TYPE_UNSPECIFIED;
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if (has_draft) {
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result.devices = params_spec.devices;
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// default to global devices value
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if (!params_spec.devices.empty()) {
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result.devices = params_spec.devices;
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}
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result.model = params_spec.mparams;
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result.n_gpu_layers = params_spec.n_gpu_layers;
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result.tensor_buft_overrides = params_spec.tensor_buft_overrides;
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// a draft pinned to a single device doesn't need the meta wrapper an inherited -sm tensor would give it
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// (the device list is null-terminated, so a single device means size 2)
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const size_t n_devs = std::count_if(params_spec.devices.begin(), params_spec.devices.end(),
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[](ggml_backend_dev_t d) { return d != nullptr; });
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if (n_devs == 1) {
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result.split_mode = LLAMA_SPLIT_MODE_LAYER;
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}
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if (params_spec.cpuparams.n_threads > 0) {
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result.cpuparams.n_threads = params_spec.cpuparams.n_threads;
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result.cpuparams_batch.n_threads = params_spec.cpuparams_batch.n_threads;
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