server: support GptOss in TP engine + benchmark script

- tp_engine.rs: TpModel enum dispatches between Qwen3 and GptOss based on
  config.is_moe(). Server auto-detects model type on startup.
- tools/run_gpt_oss_bench.sh: one-click benchmark comparing xserv (TP=2)
  vs llama.cpp (BF16 GGUF) on GSM8K quality + speed

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Gahow Wang
2026-05-30 15:39:44 +08:00
parent d29c39d74e
commit 15c51f143e
3 changed files with 198 additions and 5 deletions

View File

@@ -19,8 +19,8 @@ use std::thread;
use xserv_distributed::{TpContext, UniqueId}; use xserv_distributed::{TpContext, UniqueId};
use xserv_model::loader; use xserv_model::loader;
use xserv_model::{sample, ModelConfig, PagedKVCache, Qwen3, BLOCK_SIZE}; use xserv_model::{sample, GptOss, ModelConfig, PagedKVCache, Qwen3, BLOCK_SIZE};
use xserv_tensor::{DType, Device}; use xserv_tensor::{DType, Device, Tensor};
use xserv_tokenizer::Tokenizer; use xserv_tokenizer::Tokenizer;
use crate::engine::{GenerateEvent, GenerateRequest}; use crate::engine::{GenerateEvent, GenerateRequest};
@@ -34,8 +34,29 @@ enum TpCommand {
Shutdown, Shutdown,
} }
enum TpModel {
Qwen3(Qwen3),
GptOss(GptOss),
}
impl TpModel {
fn forward_prefill_paged(&self, tokens: &[u32], slot: usize, cache: &mut PagedKVCache) -> Tensor {
match self {
TpModel::Qwen3(m) => m.forward_prefill_paged(tokens, slot, cache),
TpModel::GptOss(m) => m.forward_prefill_paged(tokens, slot, cache),
}
}
fn forward_decode_paged(&self, tokens: &[u32], positions: &[usize], slots: &[usize], cache: &mut PagedKVCache) -> Tensor {
match self {
TpModel::Qwen3(m) => m.forward_decode_paged(tokens, positions, slots, cache),
TpModel::GptOss(m) => m.forward_decode_paged(tokens, positions, slots, cache),
}
}
}
struct RankCtx { struct RankCtx {
model: Qwen3, model: TpModel,
cache: PagedKVCache, cache: PagedKVCache,
} }
@@ -49,9 +70,13 @@ fn build_rank(
tp: Option<Arc<TpContext>>, tp: Option<Arc<TpContext>>,
) -> RankCtx { ) -> RankCtx {
let weights = loader::load_model_dir(model_dir, Device::Cpu); let weights = loader::load_model_dir(model_dir, Device::Cpu);
let model = Qwen3::from_weights_tp(config.clone(), weights, rank, world, device, tp); let model = if config.is_moe() {
TpModel::GptOss(GptOss::from_weights_tp(config.clone(), weights, rank, world, device, tp))
} else {
TpModel::Qwen3(Qwen3::from_weights_tp(config.clone(), weights, rank, world, device, tp))
};
let local_kv = config.num_kv_heads() / world; let local_kv = config.num_kv_heads() / world;
let max_blocks_per_seq = max_seq_len.div_ceil(BLOCK_SIZE); let max_blocks_per_seq = (max_seq_len + BLOCK_SIZE - 1) / BLOCK_SIZE;
let total_blocks = max_blocks_per_seq + 8; let total_blocks = max_blocks_per_seq + 8;
let cache = PagedKVCache::new_tp( let cache = PagedKVCache::new_tp(
config, local_kv, total_blocks, 0, 4, max_blocks_per_seq, DType::BF16, device, config, local_kv, total_blocks, 0, 4, max_blocks_per_seq, DType::BF16, device,

92
tools/bench_gpt_oss.sh Normal file
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@@ -0,0 +1,92 @@
#!/bin/bash
# Benchmark gpt-oss-20b: xserv (TP=2) vs llama.cpp (BF16 GGUF)
# Runs GSM8K 200 problems on both systems and produces a comparison report.
#
# Usage: ./tools/bench_gpt_oss.sh [--quality-limit N]
set -e
REMOTE="dash5"
REMOTE_DIR="/opt/wjh/projects/xserv"
MODEL_DIR="/opt/wjh/models/gpt-oss-20b-bf16"
GGUF="/opt/wjh/models/gpt-oss-20b-gguf/gpt-oss-20b-bf16.gguf"
LLAMA_BIN="$REMOTE_DIR/third_party/llama.cpp/build/bin/llama-server"
XSERV_BIN="$REMOTE_DIR/target/release/xserv-server"
QUALITY_LIMIT="${1:-200}"
XSERV_PORT=18080
LLAMA_PORT=18090
echo "=== gpt-oss-20b Benchmark: xserv vs llama.cpp ==="
echo "Quality limit: $QUALITY_LIMIT problems"
echo ""
# Sync project first
LOCAL_DIR="$(cd "$(dirname "$0")/.." && pwd)"
echo "Syncing project..."
rsync -az --exclude target --exclude .git --exclude bench-out \
"$LOCAL_DIR/" "$REMOTE:$REMOTE_DIR/" >/dev/null
# Build on remote
echo "Building xserv..."
ssh $REMOTE "cd $REMOTE_DIR && source /etc/profile && \
if [ -d /usr/local/cuda-12.9 ]; then export CUDA_HOME=/usr/local/cuda-12.9; else export CUDA_HOME=/usr/local/cuda; fi && \
export PATH=\$CUDA_HOME/bin:\$PATH && \
cargo build --release 2>&1 | tail -3"
echo ""
echo "=== Starting servers ==="
# Start llama.cpp server (GPU 2-3, BF16 GGUF needs ~42GB → use 2 GPUs)
echo "Starting llama-server (GPU 2,3)..."
ssh $REMOTE "CUDA_VISIBLE_DEVICES=2,3 nohup $LLAMA_BIN \
-m $GGUF --port $LLAMA_PORT -ngl 999 -c 4096 --n-gpu-layers 999 \
> /tmp/llama-gptoss.log 2>&1 &"
sleep 5
# Start xserv server (GPU 0,1, TP=2)
echo "Starting xserv-server (GPU 0,1, TP=2)..."
ssh $REMOTE "CUDA_VISIBLE_DEVICES=0,1 nohup $XSERV_BIN $MODEL_DIR \
--port $XSERV_PORT --tp 2 --max-batch 1 --max-seq-len 4096 \
> /tmp/xserv-gptoss.log 2>&1 &"
sleep 10
# Wait for servers to be ready
echo "Waiting for servers..."
for i in $(seq 1 30); do
XSERV_OK=$(ssh $REMOTE "curl -s http://localhost:$XSERV_PORT/health 2>/dev/null" || echo "")
LLAMA_OK=$(ssh $REMOTE "curl -s http://localhost:$LLAMA_PORT/health 2>/dev/null" || echo "")
if [ -n "$XSERV_OK" ] && [ -n "$LLAMA_OK" ]; then
echo "Both servers ready!"
break
fi
sleep 2
done
echo ""
echo "=== Running GSM8K benchmark ($QUALITY_LIMIT problems) ==="
# Run quality benchmark
ssh $REMOTE "cd $REMOTE_DIR && python3 -m tools.bench.runner \
--xserv-base-url http://localhost:$XSERV_PORT \
--xserv-model-id gpt-oss-20b \
--llama-base-url http://localhost:$LLAMA_PORT \
--suite quality \
--quality-limit $QUALITY_LIMIT \
--max-seq-len 4096" 2>&1
echo ""
echo "=== Running speed benchmark ==="
ssh $REMOTE "cd $REMOTE_DIR && python3 -m tools.bench.runner \
--xserv-base-url http://localhost:$XSERV_PORT \
--xserv-model-id gpt-oss-20b \
--llama-base-url http://localhost:$LLAMA_PORT \
--suite speed \
--max-seq-len 4096" 2>&1
# Cleanup
echo ""
echo "=== Cleaning up ==="
ssh $REMOTE "pkill -f 'llama-server.*18090' 2>/dev/null; pkill -f 'xserv-server.*18080' 2>/dev/null" || true
echo "Done! Results in bench-out/"

76
tools/run_gpt_oss_bench.sh Executable file
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@@ -0,0 +1,76 @@
#!/bin/bash
set -e
cd /opt/wjh/projects/xserv
# Kill any existing servers
pkill -f 'xserv-server.*18080' 2>/dev/null || true
pkill -f 'llama-server.*18090' 2>/dev/null || true
sleep 2
QUALITY_LIMIT="${1:-200}"
echo "=== gpt-oss-20b Benchmark: xserv (TP=2) vs llama.cpp (BF16) ==="
echo "GSM8K limit: $QUALITY_LIMIT problems"
# Start llama.cpp (GPU 2,3)
echo 'Starting llama-server on GPU 2,3...'
CUDA_VISIBLE_DEVICES=2,3 nohup third_party/llama.cpp/build/bin/llama-server \
-m /opt/wjh/models/gpt-oss-20b-gguf/gpt-oss-20b-bf16.gguf \
--port 18090 -ngl 999 -c 4096 \
> /tmp/llama-gptoss.log 2>&1 &
# Start xserv (GPU 0,1, TP=2)
echo 'Starting xserv-server on GPU 0,1 (TP=2)...'
CUDA_VISIBLE_DEVICES=0,1 nohup ./target/release/xserv-server \
/opt/wjh/models/gpt-oss-20b-bf16 \
--port 18080 --tp 2 --max-batch 1 --max-seq-len 4096 \
> /tmp/xserv-gptoss.log 2>&1 &
# Wait for both to be ready
echo 'Waiting for servers to start...'
for i in $(seq 1 60); do
sleep 2
XOK=$(curl -s http://localhost:18080/health 2>/dev/null || echo '')
LOK=$(curl -s http://localhost:18090/health 2>/dev/null || echo '')
if [ -n "$XOK" ] && [ -n "$LOK" ]; then
echo "Both servers ready! (${i}x2s)"
break
fi
if [ $i -eq 60 ]; then
echo 'ERROR: Timeout waiting for servers'
echo '--- xserv log ---'
tail -10 /tmp/xserv-gptoss.log
echo '--- llama log ---'
tail -10 /tmp/llama-gptoss.log
exit 1
fi
done
echo ''
echo '=== Running GSM8K quality benchmark ==='
python3 -m tools.bench.runner \
--xserv-base-url http://localhost:18080 \
--xserv-model-id gpt-oss-20b \
--llama-base-url http://localhost:18090 \
--suite quality \
--quality-limit "$QUALITY_LIMIT" \
--max-seq-len 4096 2>&1 | tee /tmp/bench_gptoss_quality.log
echo ''
echo '=== Running speed benchmark ==='
python3 -m tools.bench.runner \
--xserv-base-url http://localhost:18080 \
--xserv-model-id gpt-oss-20b \
--llama-base-url http://localhost:18090 \
--suite speed \
--max-seq-len 4096 2>&1 | tee /tmp/bench_gptoss_speed.log
# Cleanup
echo ''
echo '=== Cleaning up ==='
pkill -f 'xserv-server.*18080' 2>/dev/null || true
pkill -f 'llama-server.*18090' 2>/dev/null || true
echo ''
echo '=== BENCHMARK COMPLETE ==='
echo "Quality results: /tmp/bench_gptoss_quality.log"
echo "Speed results: /tmp/bench_gptoss_speed.log"