Traceback (most recent call last): File "/var/lib/jenkins/workspace/test/inductor/test_inplace_padding.py", line 109, in test_pad_non_zero ).run(code) RuntimeError: Expected to find regex "empty_strided.\(\(2048, 2048\), \(2048, 1\), torch.float32\).as_strided\(\(2048, 2047\), \(2048, 1\)\)" but did not find it Searched string: From CHECK-REGEX: empty_strided.((2048, 2048), (2048, 1), torch.float32).as_strided((2048, 2047), (2048, 1))

To execute this test, run the following from the base repo dir: PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_inplace_padding.py InplacePaddingTest.test_pad_non_zero

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Fix Plan

Fix Flaky Test

The test test_pad_non_zero in inductor/test_inplace_padding.py is flaky and failing in CI. To fix this, we need to identify the root cause of the flakiness.

Step-by-Step Solution

1. Run the test locally: Run the test with the following command to reproduce the issue:

   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_inplace_padding.py InplacePaddingTest.test_pad_non_zero

2. Analyze the test code: Review the test code in inductor/test_inplace_padding.py and identify any potential issues that could be causing the flakiness.
3. Add test assertions: Add additional test assertions to ensure that the test is robust and less prone to flakiness.
4. Use a testing library: Consider using a testing library like pytest to write more robust tests.
5. Run the test with a debugger: Run the test with a debugger to step through the code and identify the exact point where the test is failing.

Example Code

To add additional test assertions, you can use the following code:

import torch

def test_pad_non_zero():
    # ... existing test code ...
    # Add additional test assertions
    assert torch.allclose(torch.randn(2048, 2048), torch.randn(2048, 2048))
    assert torch.allclose(torch.randn(2048, 1), torch.randn(2048, 1))
    assert torch.allclose(torch.randn(2048, 2047), torch.randn(2048, 2047))
    assert torch.allclose(torch.randn(2048, 1), torch.randn(2048, 1))

By following these steps and adding additional test assertions,