Files
project_6_89d52222/upstream_ref/xllm/xllm/proto/rerank.proto
EX Engine 002f9879b2 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
2026-08-10 02:54:03 +00:00

42 lines
637 B
Protocol Buffer

syntax = "proto3";
option go_package = "jd.com/jd-infer/xllm;xllm";
package xllm.proto;
import "common.proto";
message RerankRequest {
string model = 1;
string query = 2;
repeated string documents = 3;
optional int32 top_n = 4;
optional int32 truncate_prompt_tokens = 5;
optional string user = 6;
optional string service_request_id = 7;
}
message RerankDocument {
string text = 1;
}
message RerankResult {
int32 index = 1;
RerankDocument document = 2;
float relevance_score = 3;
}
message RerankResponse {
string id = 1;
string model = 2;
Usage usage = 3;
repeated RerankResult results = 4;
}