Fix Plan

The fix involves updating the test configuration to handle changes in the PyTorch repository.

Steps to Fix

• Update the pytorch version in the test environment to the latest version.
• Modify the smoke test to account for changes in the PyTorch API.
• Example code snippet to update PyTorch version:

import torch

# Update PyTorch version
torch.__version__ = '2.0.0'

However, the above code is just an example and should not be used directly. Instead, update the PyTorch version using pip:

pip install --upgrade torch

• Example code snippet to modify the smoke test:

import unittest
import torch

class TestSmoke(unittest.TestCase):
    def test_smoke(self):
        # Modify the test to account for changes in the PyTorch API
        self.assertEqual(torch.__version__, '2.0.0')

if __name__ == '__main__':
    unittest.main()

Verification

To verify that the fix worked, run the smoke tests again and check for any errors.

Extra Tips

• Make sure to update the PyTorch version in all test environments.
• Review the PyTorch documentation for any changes to the API that may affect the smoke tests.
• Consider adding additional tests to cover any new functionality in the updated PyTorch version.