wehub-resource-sync
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import random
|
|
import string
|
|
import time
|
|
|
|
import numpy as np
|
|
|
|
import ray
|
|
from ray._common.test_utils import wait_for_condition
|
|
from ray.data._internal.progress.progress_bar import ProgressBar
|
|
|
|
|
|
def run_task_workload(total_num_cpus, smoke):
|
|
"""Run task-based workload that doesn't require object reconstruction."""
|
|
|
|
@ray.remote(num_cpus=1, max_retries=-1)
|
|
def task():
|
|
def generate_data(size_in_kb=10):
|
|
return np.zeros(1024 * size_in_kb, dtype=np.uint8)
|
|
|
|
a = ""
|
|
for _ in range(100000):
|
|
a = a + random.choice(string.ascii_letters)
|
|
return generate_data(size_in_kb=50)
|
|
|
|
@ray.remote(num_cpus=1, max_retries=-1)
|
|
def invoke_nested_task():
|
|
time.sleep(0.8)
|
|
return ray.get(task.remote())
|
|
|
|
multiplier = 75
|
|
# For smoke mode, run fewer tasks
|
|
if smoke:
|
|
multiplier = 1
|
|
TOTAL_TASKS = int(total_num_cpus * 2 * multiplier)
|
|
|
|
pb = ProgressBar("Chaos test", TOTAL_TASKS, "task")
|
|
results = [invoke_nested_task.remote() for _ in range(TOTAL_TASKS)]
|
|
pb.block_until_complete(results)
|
|
pb.close()
|
|
|
|
# Consistency check.
|
|
wait_for_condition(
|
|
lambda: (
|
|
ray.cluster_resources().get("CPU", 0)
|
|
== ray.available_resources().get("CPU", 0)
|
|
),
|
|
timeout=60,
|
|
)
|