pytorch - 💡(How to fix) Fix DISABLED test_retrace_export_inline_asm_elementwise_simple_cuda_float32 (__main__.TestHOPCUDA) [1 comments, 2 participants]

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pytorch/pytorch#178177Fetched 2026-04-08 01:21:20
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Root Cause

This test was disabled because it is failing on main branch (recent examples).

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Platforms: <fill this in or delete. Valid labels are: asan, linux, mac, macos, rocm, win, windows.>

This test was disabled because it is failing on main branch (recent examples).

cc @chauhang @penguinwu @avikchaudhuri @zhxchen17 @tugsbayasgalan @angelayi @suo @ydwu4

extent analysis

Fix Plan

The fix involves re-enabling and updating the test case test_retrace_export_inline_asm_elementwise_simple_cuda_float32 in test_hop.py to ensure it works correctly on the main branch.

Steps to Fix

  • Re-enable the disabled test case by removing the decorator or comment that disables it.
  • Update the test case to handle any recent changes in the CUDA or PyTorch versions that might be causing the failure.
  • Verify that the test case works correctly for both CUDA and CPU devices.

Example Code

import torch
import unittest

class TestHOPCUDA(unittest.TestCase):
    def test_retrace_export_inline_asm_elementwise_simple_cuda_float32(self):
        # Move the model and input to the CUDA device if available
        device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
        model = ...  # Initialize your model here
        input = ...  # Initialize your input here
        model.to(device)
        input = input.to(device)
        
        # Perform the operation and verify the result
        output = model(input)
        self.assertIsNotNone(output)

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

Verification

Run the test case using the PyTorch test framework to verify that it passes without any errors.

Extra Tips

  • Ensure that the CUDA and PyTorch versions are compatible and up-to-date.
  • Use the torch.device context manager to move models and inputs to the CUDA device if available.
  • Verify that the test case works correctly for both CUDA and CPU devices to ensure platform independence.

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pytorch - 💡(How to fix) Fix DISABLED test_retrace_export_inline_asm_elementwise_simple_cuda_float32 (__main__.TestHOPCUDA) [1 comments, 2 participants]