Files
exo/.github/bench.py
T
2024-12-08 20:30:07 +00:00

137 lines
4.4 KiB
Python

import aiohttp
import asyncio
import time
import json
import os
import boto3
from typing import Dict, Any
from datetime import datetime
async def measure_performance(api_endpoint: str, prompt: str) -> Dict[str, Any]:
"""
Measures the performance of an API endpoint by sending a prompt and recording metrics.
Args:
api_endpoint (str): The API endpoint URL.
prompt (str): The prompt to send to the API.
Returns:
Dict[str, Any]: A dictionary containing performance metrics or error information.
"""
model = os.environ.get('model', 'llama-3.2-1b')
results = {
'model': model,
'run_id': os.environ.get('GITHUB_RUN_ID', 'unknown'),
'configuration': json.loads(os.environ.get('HARDWARE_CONFIG', '{}'))
}
# Get token count
session = aiohttp.ClientSession()
try:
response = await session.post(
"http://localhost:52415/v1/chat/token/encode",
json={
"model": model,
"messages": [{"role": "user", "content": prompt}]
}
)
response.raise_for_status()
token_data = await response.json()
results['prompt_len'] = token_data['num_tokens']
except Exception as e:
await session.close()
raise RuntimeError(f"Failed to get token count: {str(e)}")
# Measure completion performance
try:
start_time = time.time()
response = await session.post(
api_endpoint,
json={
"model": model,
"messages": [{"role": "user", "content": prompt}],
"temperature": 0,
"stream": True
}
)
response.raise_for_status()
first_token_time = None
total_tokens = 0
async for line in response.content.iter_chunks():
line = line[0].decode('utf-8').strip()
if not line.startswith('data: '):
continue
data = json.loads(line[6:]) # Skip 'data: ' prefix
if content := data.get('choices', [{}])[0].get('delta', {}).get('content'):
print(f"Received content: {content}", flush=True)
if first_token_time is None:
first_token_time = time.time()
ttft = first_token_time - start_time
results.update({
'ttft': ttft,
'prompt_tps': results['prompt_len'] / ttft
})
total_tokens += 1
total_time = time.time() - start_time
results.update({
'generation_tps': total_tokens / total_time,
'response_len': total_tokens,
'total_time': total_time
})
except Exception as e:
raise RuntimeError(f"Performance measurement failed: {str(e)}")
finally:
await session.close()
return results
async def main() -> None:
api_endpoint = "http://localhost:52415/v1/chat/completions"
# Define prompts
prompt_essay = "write an essay about cats"
# Measure performance for the essay prompt, which depends on the first measurement
print("\nMeasuring performance for the essay prompt...", flush=True)
results = await measure_performance(api_endpoint, prompt_essay)
try:
s3_client = boto3.client(
's3',
aws_access_key_id=os.environ.get('aws_access_key_id'),
aws_secret_access_key=os.environ.get('aws_secret_key')
)
job_name = os.environ.get('GITHUB_JOB')
# Create S3 key with timestamp and commit info
now = datetime.utcnow()
timestamp = now.strftime('%H-%M-%S')
commit_sha = os.environ.get('GITHUB_SHA', 'unknown')[:7]
s3_key = f"{job_name}/{now.year}/{now.month}/{now.day}/{timestamp}_{commit_sha}.json"
# Upload to S3
s3_client.put_object(
Bucket='exo-benchmarks',
Key=s3_key,
Body=json.dumps(results),
ContentType='application/json'
)
print(f"Performance metrics uploaded to S3: s3://exo-benchmarks/{s3_key}", flush=True)
except Exception as e:
print(f"Failed to upload metrics to S3: {e}", flush=True)
# Optionally print the metrics for visibility
print("Performance metrics:", flush=True)
print(json.dumps(results, indent=4), flush=True)
if __name__ == "__main__":
asyncio.run(main())