mirror of
https://github.com/kvcache-ai/ktransformers.git
synced 2025-09-06 04:30:03 +00:00
137 lines
No EOL
4.3 KiB
Python
137 lines
No EOL
4.3 KiB
Python
import subprocess
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import time
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import requests
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import sys
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import os
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def wait_for_server(base_url: str, timeout: int = None) -> None:
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start_time = time.time()
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while True:
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try:
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response = requests.get(
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f"{base_url}/v1/models",
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headers={"Authorization": "Bearer None"},
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)
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if response.status_code == 200:
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print("Server is ready.")
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break
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except requests.exceptions.RequestException:
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time.sleep(1)
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if timeout and time.time() - start_time > timeout:
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raise TimeoutError("Server did not become ready within timeout period")
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server_cmd = [
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"numactl", "-N", "1", "-m", "1",
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"/home/qujing3/anaconda3/envs/ktransformers-dev/bin/ktransformers",
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"--model_path", "/home/qujing3/models/DeepSeek-R1-Q4_K_M/config",
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"--gguf_path", "/home/qujing3/models/DeepSeek-V3-GGUF/DeepSeek-V3-Q4_K_M",
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"--port", "10002",
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"--cpu_infer", "48",
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"--optimize_config_path", "ktransformers/optimize/optimize_rules/DeepSeek-V3-Chat.yaml",
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"--max_new_tokens", "3000",
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"--cache_lens", "6000"
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]
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print("Starting ktransformers server...")
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print(" ".join(server_cmd))
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with open("/tmp/server_log.txt", "w") as f:
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server_process = subprocess.Popen(server_cmd, stdout=f, stderr=f, text=True)
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try:
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wait_for_server("http://localhost:10002", timeout=600)
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eval_cmd = ["python", "ktransformers/tests/humaneval/eval_api.py"]
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print("Running eval_api.py...")
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print(f"Command: {' '.join(eval_cmd)}")
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env = os.environ.copy()
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env["PYTHONUNBUFFERED"] = "1"
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eval_process = subprocess.Popen(
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eval_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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bufsize=1,
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env=env,
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universal_newlines=True
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)
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import threading
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import queue
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def enqueue_output(out, queue):
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for line in iter(out.readline, ''):
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queue.put(line)
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out.close()
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stdout_queue = queue.Queue()
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stderr_queue = queue.Queue()
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stdout_thread = threading.Thread(target=enqueue_output, args=(eval_process.stdout, stdout_queue))
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stderr_thread = threading.Thread(target=enqueue_output, args=(eval_process.stderr, stderr_queue))
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stdout_thread.daemon = True
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stderr_thread.daemon = True
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stdout_thread.start()
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stderr_thread.start()
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while eval_process.poll() is None:
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try:
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line = stdout_queue.get_nowait()
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print(line, end='', flush=True)
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except queue.Empty:
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pass
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try:
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line = stderr_queue.get_nowait()
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print(line, end='', file=sys.stderr, flush=True)
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except queue.Empty:
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pass
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time.sleep(1)
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while not stdout_queue.empty():
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print(stdout_queue.get(), end='', flush=True)
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while not stderr_queue.empty():
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print(stderr_queue.get(), end='', file=sys.stderr, flush=True)
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eval_process.wait()
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print(f"eval_api.py completed with exit code: {eval_process.returncode}")
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evaluate_cmd = [
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"evaluate_functional_correctness",
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"ktransformers/tests/humaneval/results/api/eval_b.jsonl"
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]
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print("Running evaluate_functional_correctness...")
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print(f"Command: {' '.join(evaluate_cmd)}")
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evaluate_process = subprocess.Popen(
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evaluate_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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bufsize=1,
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universal_newlines=True
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)
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for line in evaluate_process.stdout:
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print(line, end='', flush=True)
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for line in evaluate_process.stderr:
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print(line, end='', file=sys.stderr, flush=True)
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evaluate_process.wait()
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print(f"evaluate_functional_correctness completed with exit code: {evaluate_process.returncode}")
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if evaluate_process.returncode != 0:
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print(f"evaluate_functional_correctness exited with code {evaluate_process.returncode}")
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sys.exit(evaluate_process.returncode)
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finally:
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print("Stopping ktransformers server...")
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server_process.terminate()
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try:
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server_process.wait(timeout=30)
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except subprocess.TimeoutExpired:
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print("Server did not terminate gracefully, forcing...")
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server_process.kill() |