pytorch - 💡(How to fix) Fix DISABLED test_add_complex_xpu_gpu_wrapper (__main__.TestGpuWrapper) [1 comments, 2 participants]

Fix Plan

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

Steps to Fix

• Re-enable the test case by removing the decorator or comment that disables it.
• Update the test case to handle XPU-specific requirements, such as:
  • Importing necessary XPU libraries
  • Initializing XPU devices
  • Modifying the test logic to accommodate XPU's computational model

Example Code

import torch
import torch_xpu

class TestGpuWrapper:
    def test_add_complex_xpu_gpu_wrapper(self):
        # Initialize XPU device
        device = torch_xpu.XPUDevice(0)
        
        # Move tensors to XPU device
        tensor1 = torch.randn(10, device=device)
        tensor2 = torch.randn(10, device=device)
        
        # Perform addition using XPU
        result = tensor1 + tensor2
        
        # Verify result
        assert result.device == device

Verification

Run the test case using the XPU platform to verify that it passes without errors.

Extra Tips

• Ensure that the XPU libraries and dependencies are properly installed and configured.
• Consult the XPU documentation for specific guidance on using XPU devices and optimizing performance.