vllm - 💡(How to fix) Fix [CI Failure]: Builds fail? [1 participants]

Fix Plan

To resolve the failing test, we need to identify and address the root cause of the issue. Based on the provided information, it seems like the issue might be related to changes in the codebase. Here are the steps to fix the issue:

• Review the commit history to identify the changes that caused the test to fail
• Check the test code and the related functionality to see if there are any issues with the implementation
• If the issue is caused by an external library, consider updating or downgrading the library to a version that is known to work

Example Code

For example, if the issue is caused by a change in the transformers library, you can try downgrading the library to a previous version:

# requirements.txt
transformers==4.20.1

Alternatively, if the issue is caused by a change in the codebase, you can try reverting the changes or updating the test to match the new functionality:

# test_example.py
import unittest
from transformers import AutoModelForSequenceClassification

class TestExample(unittest.TestCase):
    def test_example(self):
        # Update the test to match the new functionality
        model = AutoModelForSequenceClassification.from_pretrained('distilbert-base-uncased')
        self.assertIsNotNone(model)

Verification

To verify that the fix worked, you can re-run the test and check if it passes. You can also try running the test locally to see if the issue is resolved.

Extra Tips

• Make sure to review the commit history and test code carefully to identify the root cause of the issue
• Consider adding more tests to cover different scenarios and edge cases
• If the issue is caused by an external library, consider opening an issue on the library's GitHub page to report the problem.