kvcache-ai-ktransformers/ktransformers/tests/score.py
2025-03-20 18:48:51 +08:00

137 lines
No EOL
4.3 KiB
Python

import subprocess
import time
import requests
import sys
import os
def wait_for_server(base_url: str, timeout: int = None) -> None:
start_time = time.time()
while True:
try:
response = requests.get(
f"{base_url}/v1/models",
headers={"Authorization": "Bearer None"},
)
if response.status_code == 200:
print("Server is ready.")
break
except requests.exceptions.RequestException:
time.sleep(1)
if timeout and time.time() - start_time > timeout:
raise TimeoutError("Server did not become ready within timeout period")
server_cmd = [
"numactl", "-N", "1", "-m", "1",
"/home/qujing3/anaconda3/envs/ktransformers-dev/bin/ktransformers",
"--model_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/config",
"--gguf_path", "/home/qujing3/models/DeepSeek-V3-GGUF/DeepSeek-V3-Q4_K_M",
"--port", "10002",
"--cpu_infer", "48",
"--optimize_config_path", "ktransformers/optimize/optimize_rules/DeepSeek-V3-Chat.yaml",
"--max_new_tokens", "3000",
"--cache_lens", "6000"
]
print("Starting ktransformers server...")
print(" ".join(server_cmd))
with open("/tmp/server_log.txt", "w") as f:
server_process = subprocess.Popen(server_cmd, stdout=f, stderr=f, text=True)
try:
wait_for_server("http://localhost:10002", timeout=600)
eval_cmd = ["python", "ktransformers/tests/humaneval/eval_api.py"]
print("Running eval_api.py...")
print(f"Command: {' '.join(eval_cmd)}")
env = os.environ.copy()
env["PYTHONUNBUFFERED"] = "1"
eval_process = subprocess.Popen(
eval_cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
env=env,
universal_newlines=True
)
import threading
import queue
def enqueue_output(out, queue):
for line in iter(out.readline, ''):
queue.put(line)
out.close()
stdout_queue = queue.Queue()
stderr_queue = queue.Queue()
stdout_thread = threading.Thread(target=enqueue_output, args=(eval_process.stdout, stdout_queue))
stderr_thread = threading.Thread(target=enqueue_output, args=(eval_process.stderr, stderr_queue))
stdout_thread.daemon = True
stderr_thread.daemon = True
stdout_thread.start()
stderr_thread.start()
while eval_process.poll() is None:
try:
line = stdout_queue.get_nowait()
print(line, end='', flush=True)
except queue.Empty:
pass
try:
line = stderr_queue.get_nowait()
print(line, end='', file=sys.stderr, flush=True)
except queue.Empty:
pass
time.sleep(1)
while not stdout_queue.empty():
print(stdout_queue.get(), end='', flush=True)
while not stderr_queue.empty():
print(stderr_queue.get(), end='', file=sys.stderr, flush=True)
eval_process.wait()
print(f"eval_api.py completed with exit code: {eval_process.returncode}")
evaluate_cmd = [
"evaluate_functional_correctness",
"ktransformers/tests/humaneval/results/api/eval_b.jsonl"
]
print("Running evaluate_functional_correctness...")
print(f"Command: {' '.join(evaluate_cmd)}")
evaluate_process = subprocess.Popen(
evaluate_cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
universal_newlines=True
)
for line in evaluate_process.stdout:
print(line, end='', flush=True)
for line in evaluate_process.stderr:
print(line, end='', file=sys.stderr, flush=True)
evaluate_process.wait()
print(f"evaluate_functional_correctness completed with exit code: {evaluate_process.returncode}")
if evaluate_process.returncode != 0:
print(f"evaluate_functional_correctness exited with code {evaluate_process.returncode}")
sys.exit(evaluate_process.returncode)
finally:
print("Stopping ktransformers server...")
server_process.terminate()
try:
server_process.wait(timeout=30)
except subprocess.TimeoutExpired:
print("Server did not terminate gracefully, forcing...")
server_process.kill()