pytorch - 💡(How to fix) Fix DISABLED test_correctness_Adafactor_use_closure_False_xpu_float32 (__main__.CompiledOptimizerParityTestsXPU) [2 comments, 3 participants]

Fix Plan

The fix involves re-enabling and updating the test case test_correctness_Adafactor_use_closure_False_xpu_float32 in test_compiled_optimizers.py to ensure compatibility with the XPU platform.

Steps to Fix

• Re-enable the disabled test case.
• Update the test case to handle XPU-specific requirements.
• Verify the test case passes on the XPU platform.

Example Code

import unittest
import torch

class CompiledOptimizerParityTestsXPU(unittest.TestCase):
    def test_correctness_Adafactor_use_closure_False_xpu_float32(self):
        # Initialize Adafactor optimizer
        optimizer = torch.optim.Adafactor(params=[torch.randn(10)], lr=0.01)
        
        # Set up XPU device
        device = torch.device("xpu" if torch.xpu.is_available() else "cpu")
        optimizer.to(device)
        
        # Run test case
        # ... (rest of the test case code)

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

Verification

Run the test case using the command python -m unittest test_compiled_optimizers.py and verify that the test case passes.

Extra Tips

• Ensure the XPU device is properly set up and available.
• Update the test case to handle any XPU-specific requirements or limitations.