Source code for tests.system.google.cloud.ray.resources.heavy
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from __future__ import annotations
import time
import ray
# Initialize Ray
ray.init()
# Define a computationally intensive task
@ray.remote(num_cpus=1)
[docs]
def heavy_task(x):
"""
Simulates a heavy workload by performing a CPU-bound operation.
This example calculates the sum of squares for a range of numbers.
"""
total = 0
for i in range(x):
total += i * i
time.sleep(1) # Simulate some work duration
return total
# Generate a large number of tasks
for _i in range(num_tasks):
results.append(heavy_task.remote(1000000))
# Retrieve results (this will trigger autoscaling if needed)
[docs]
outputs = ray.get(results)
# Print the sum of the results (optional)
print(f"Sum of results: {sum(outputs)}")
# Terminate the process
ray.shutdown()