Files
ktransformers/archive/csrc/balance_serve/kvc2/unit_test.sh
Jiaqi Liao 57d14d22bc Refactor: restructure repository to focus on kt-kernel and KT-SFT modulesq recon (#1581)
* refactor: move legacy code to archive/ directory

  - Moved ktransformers, csrc, third_party, merge_tensors to archive/
  - Moved build scripts and configurations to archive/
  - Kept kt-kernel, KT-SFT, doc, and README files in root
  - Preserved complete git history for all moved files

* refactor: restructure repository to focus on kt-kernel and KT-SFT modules

* fix README

* fix README

* fix README

* fix README

* docs: add performance benchmarks to kt-kernel section

Add comprehensive performance data for kt-kernel to match KT-SFT's presentation:
- AMX kernel optimization: 21.3 TFLOPS (3.9× faster than PyTorch)
- Prefill phase: up to 20× speedup vs baseline
- Decode phase: up to 4× speedup
- NUMA optimization: up to 63% throughput improvement
- Multi-GPU (8×L20): 227.85 tokens/s total throughput with DeepSeek-R1 FP8

Source: https://lmsys.org/blog/2025-10-22-KTransformers/

This provides users with concrete performance metrics for both core modules,
making it easier to understand the capabilities of each component.

* refactor: improve kt-kernel performance data with specific hardware and models

Replace generic performance descriptions with concrete benchmarks:
- Specify exact hardware: 8×L20 GPU + Xeon Gold 6454S, Single/Dual-socket Xeon + AMX
- Include specific models: DeepSeek-R1-0528 (FP8), DeepSeek-V3 (671B)
- Show detailed metrics: total throughput, output throughput, concurrency details
- Match KT-SFT presentation style for consistency

This provides users with actionable performance data they can use to evaluate
hardware requirements and expected performance for their use cases.

* fix README

* docs: clean up performance table and improve formatting

* add pic for README

* refactor: simplify .gitmodules and backup legacy submodules

- Remove 7 legacy submodules from root .gitmodules (archive/third_party/*)
- Keep only 2 active submodules for kt-kernel (llama.cpp, pybind11)
- Backup complete .gitmodules to archive/.gitmodules
- Add documentation in archive/README.md for researchers who need legacy submodules

This reduces initial clone size by ~500MB and avoids downloading unused dependencies.

* refactor: move doc/ back to root directory

Keep documentation in root for easier access and maintenance.

* refactor: consolidate all images to doc/assets/

- Move kt-kernel/assets/heterogeneous_computing.png to doc/assets/
- Remove KT-SFT/assets/ (images already in doc/assets/)
- Update KT-SFT/README.md image references to ../doc/assets/
- Eliminates ~7.9MB image duplication
- Centralizes all documentation assets in one location

* fix pic path for README
2025-11-10 17:42:26 +08:00

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#!/bin/bash
# 检查是否提供了 disk_cache_path 参数
if [ -z "$1" ]; then
echo "Usage: $0 <disk_cache_path>"
exit 1
fi
# 将 disk_cache_path 参数赋值给变量
disk_cache_path=$1
# 定义测试命令数组,并使用变量替换 disk_cache_path
tests=(
"./build/test/kvc2_export_header_test --disk_cache_path=$disk_cache_path"
"./build/test/kvcache_disk_insert_read_test --disk_cache_path=$disk_cache_path"
"./build/test/kvcache_mem_eviction_test --disk_cache_path=$disk_cache_path"
"./build/test/kvcache_mem_insert_read_test --disk_cache_path=$disk_cache_path"
"./build/test/kvcache_save_load_test --disk_cache_path=$disk_cache_path"
)
# 遍历每个测试命令
for test in "${tests[@]}"; do
echo "Running: $test"
# 运行测试并捕获输出
output=$($test)
# 检查测试输出中是否包含 "Test Passed"
if echo "$output" | grep -q "Test Passed"; then
echo " Test Passed"
else
echo " Test Failed"
fi
sleep 1
done