Fix Plan

1. Identify and Fix the Flaky Test

The issue is caused by a flaky test, test_unbacked_symbol_closure, in the inductor/test_compiled_autograd.py file. To fix this, we need to identify the root cause of the flakiness and modify the test accordingly.

2. Analyze the Test Logs

To analyze the test logs, follow these steps:

• Click on the workflow logs linked above
• Click on the Test step of the job so that it is expanded
• Grep for test_unbacked_symbol_closure
• Study the logs to identify the pattern of failures and successes

3. Modify the Test

Based on the analysis, modify the test to make it more robust. Here's an example of how to add a retry mechanism to the test:

import torch
import time

def test_unbacked_symbol_closure():
    # ... (test code)
    for _ in range(3):  # retry up to 3 times
        try:
            # ... (test code)
            break
        except Exception as e:
            print(f"Test failed with error: {e}")
            time.sleep(1)  # wait for 1 second before retrying
    else:
        raise AssertionError("Test failed after 3 retries")

4. Verify the Fix

To verify the fix, re-run the test in CI and check if it passes consistently. You can also use the hud.pytorch.org/flakytest link to monitor the test's flakiness.

Extra Tips

• Make sure to update the test file path and test name in the hud.pytorch.org/disabled link.
• Consider adding more robustness to the test by using a more reliable assertion mechanism or by adding more retries.
• If the test is still flaky after modifying it, consider seeking help from the