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* Add splitwise deployment with using rdma * clean cuda
171 lines
5.4 KiB
Python
171 lines
5.4 KiB
Python
import os
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import signal
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import socket
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import subprocess
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import time
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import requests
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# Read ports from environment variables; use default values if not set
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FD_API_PORT = int(os.getenv("FD_API_PORT", 8188))
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FD_ENGINE_QUEUE_PORT = int(os.getenv("FD_ENGINE_QUEUE_PORT", 8133))
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FD_METRICS_PORT = int(os.getenv("FD_METRICS_PORT", 8233))
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FD_CACHE_QUEUE_PORT = int(os.getenv("FD_CACHE_QUEUE_PORT", 8333))
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# List of ports to clean before and after tests
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PORTS_TO_CLEAN = [FD_API_PORT, FD_ENGINE_QUEUE_PORT, FD_METRICS_PORT, FD_CACHE_QUEUE_PORT]
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def is_port_open(host: str, port: int, timeout=1.0):
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"""
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Check if a TCP port is open on the given host.
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Returns True if connection succeeds, False otherwise.
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"""
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try:
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with socket.create_connection((host, port), timeout):
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return True
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except Exception:
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return False
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def _clean_cuda_process():
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"""
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Kill processes that are using CUDA devices.
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NOTE: Do not call this function directly, use the `clean` function instead.
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"""
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try:
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subprocess.run("fuser -k /dev/nvidia*", shell=True, timeout=5)
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except (subprocess.TimeoutExpired, subprocess.CalledProcessError, FileNotFoundError):
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pass
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def kill_process_on_port(port: int):
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"""
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Kill processes that are listening on the given port.
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Uses multiple methods to ensure thorough cleanup.
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"""
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current_pid = os.getpid()
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parent_pid = os.getppid()
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# Method 1: Use lsof to find processes
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try:
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output = subprocess.check_output(f"lsof -i:{port} -t", shell=True).decode().strip()
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for pid in output.splitlines():
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pid = int(pid)
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if pid in (current_pid, parent_pid):
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print(f"Skip killing current process (pid={pid}) on port {port}")
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continue
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try:
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# First try SIGTERM for graceful shutdown
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os.kill(pid, signal.SIGTERM)
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time.sleep(1)
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# Then SIGKILL if still running
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os.kill(pid, signal.SIGKILL)
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print(f"Killed process on port {port}, pid={pid}")
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except ProcessLookupError:
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pass # Process already terminated
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except subprocess.CalledProcessError:
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pass
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# Method 2: Use netstat and fuser as backup
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try:
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# Find processes using netstat and awk
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cmd = f"netstat -tulpn 2>/dev/null | grep :{port} | awk '{{print $7}}' | cut -d'/' -f1"
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output = subprocess.check_output(cmd, shell=True).decode().strip()
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for pid in output.splitlines():
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if pid and pid.isdigit():
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pid = int(pid)
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if pid in (current_pid, parent_pid):
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continue
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try:
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os.kill(pid, signal.SIGKILL)
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print(f"Killed process (netstat) on port {port}, pid={pid}")
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except ProcessLookupError:
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pass
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except (subprocess.CalledProcessError, FileNotFoundError):
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pass
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# Method 3: Use fuser if available
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try:
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subprocess.run(f"fuser -k {port}/tcp", shell=True, timeout=5)
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except (subprocess.TimeoutExpired, subprocess.CalledProcessError, FileNotFoundError):
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pass
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def clean_ports(ports=None):
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"""
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Kill all processes occupying the ports
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"""
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if ports is None:
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ports = PORTS_TO_CLEAN
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print(f"Cleaning ports: {ports}")
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for port in ports:
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kill_process_on_port(port)
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# Double check and retry if ports are still in use
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time.sleep(2)
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for port in ports:
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if is_port_open("127.0.0.1", port, timeout=0.1):
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print(f"Port {port} still in use, retrying cleanup...")
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kill_process_on_port(port)
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time.sleep(1)
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def clean(ports=None):
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"""
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Clean up resources used during testing.
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"""
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clean_ports(ports)
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# Clean CUDA devices before and after tests.
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# NOTE: It is dangerous to use this flag on development machines, as it may kill other processes
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clean_cuda = int(os.getenv("CLEAN_CUDA", "0")) == 1
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if clean_cuda:
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_clean_cuda_process()
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def check_service_health(base_url: str, timeout: int = 3) -> bool:
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"""
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Check the health status of a service.
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Args:
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base_url (str): The base URL of the service, e.g. "http://127.0.0.1:8080"
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timeout (int): Request timeout in seconds.
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Returns:
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bool: True if the service is healthy, False otherwise.
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"""
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if not base_url.startswith("http"):
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base_url = f"http://{base_url}"
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url = f"{base_url.rstrip('/')}/health"
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try:
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resp = requests.get(url, timeout=timeout)
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if resp.status_code == 200:
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return True
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else:
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return False
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except Exception:
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return False
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def get_registered_number(router_url) -> dict:
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"""
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Get the registered model counts by type from the router.
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Args:
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router_url (str): The base URL of the router, e.g. "http://localhost:8080".
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Returns:
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dict: A dictionary containing registered model counts with keys "mixed", "prefill", and "decode".
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"""
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if not router_url.startswith("http"):
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router_url = f"http://{router_url}"
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try:
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response = requests.get(f"{router_url}/registered_number", timeout=60)
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registered_numbers = response.json()
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return registered_numbers
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except Exception:
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return {"mixed": 0, "prefill": 0, "decode": 0}
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