ref(upstream): FULL TREE — Deep-Spark xllm (1470) + ds_vllm csrc/models (703)
Replaces cherry-picked upstream_ref with complete source trees. xllm/ — Iluvatar official C++ inference engine (15MB, 1470 files) Complete: kernels → layers → models → runtime → scheduler → api Excluded: .git, binary images, third_party submodule checkouts ds_vllm/ — Iluvatar official vllm fork (8MB, 703 files) Included: csrc/ (ALL CUDA kernels), fused_moe/, qwen3_5 model, _custom_ops Excluded: tests, benchmarks, docs, examples (not needed for reference) Critical call chains now fully traceable: MoE: moe_topk_softmax_kernels.cuh → ixformer.h → fused_moe.cpp → layer GDN: qwen3_gated_delta_net_base.cpp → qwen3_5_gated_delta_net.cpp Attention: ixformer.h → xllm_paged_attention → attention.cpp
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upstream_ref/xllm/xllm/server/xllm_server.h
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upstream_ref/xllm/xllm/server/xllm_server.h
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/* Copyright 2025 The xLLM Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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https://github.com/jd-opensource/xllm/blob/main/LICENSE
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#pragma once
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#include "api_service/api_service.h"
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#include "core/distributed_runtime/collective_service.h"
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#include "core/distributed_runtime/disagg_pd_service.h"
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#include "core/distributed_runtime/pd_ooc_service.h"
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#include "core/distributed_runtime/worker_service.h"
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#include "core/framework/xtensor/xtensor_dist_service.h"
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namespace xllm {
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class XllmServer final {
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public:
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XllmServer();
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~XllmServer();
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bool start(std::unique_ptr<APIService> api_service);
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bool start(std::unique_ptr<DisaggPDService> disagg_pd_service);
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bool start(std::unique_ptr<PDOOCService> pd_ooc_service);
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bool start(std::shared_ptr<CollectiveService> service,
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const std::string& addr,
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const std::string& server_name);
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bool start(std::shared_ptr<WorkerService> service, const std::string& addr);
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bool start(std::shared_ptr<XTensorDistService> service,
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const std::string& addr);
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void run();
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void stop();
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bool has_initialized() const { return has_initialized_; }
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std::string listen_address() const { return listen_address_; }
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int listen_port() const { return listen_port_; }
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private:
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DISALLOW_COPY_AND_ASSIGN(XllmServer);
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bool create_server(google::protobuf::Service* service,
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const std::string& addr,
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int port,
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const std::string& server_name);
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private:
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bool has_initialized_ = false;
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int listen_port_ = -1;
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std::string listen_address_;
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std::unique_ptr<brpc::Server> server_;
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std::unique_ptr<std::thread> running_thread_;
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};
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class XllmServerFactory {
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public:
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static std::unique_ptr<XllmServer> create_xllm_server() {
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return std::make_unique<XllmServer>();
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}
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private:
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XllmServerFactory() = default;
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~XllmServerFactory() = default;
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DISALLOW_COPY_AND_ASSIGN(XllmServerFactory);
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};
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} // namespace xllm
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