pytorch - 💡(How to fix) Fix DISABLED test_unspec_inputs_uint8_cuda (__main__.GPUTests) [3 comments, 2 participants]

Fix Plan

The fix involves re-enabling and updating the test case test_unspec_inputs_uint8_cuda in test_torchinductor.py to ensure it works correctly on the main branch.

Steps

• Re-enable the test case by removing the decorator or comment that disabled it.
• Update the test case to handle uint8 inputs correctly on CUDA devices.
• Verify the test case passes on the main branch.

Example Code

import torch
from torchinductor import GPUTests

class GPUTests(GPUTests):
    def test_unspec_inputs_uint8_cuda(self):
        # Create a uint8 tensor
        tensor = torch.randn(10, 10, dtype=torch.uint8, device='cuda')
        
        # Perform an operation on the tensor
        result = torch.ops.torchinductor.some_op(tensor)
        
        # Verify the result
        self.assertEqual(result.dtype, torch.uint8)

Verification

Run the test case using the command python -m unittest test_torchinductor.py and verify it passes without errors.

Extra Tips

• Ensure the CUDA device is properly configured and visible to the test environment.
• If issues persist, try updating the torchinductor library to the latest version.