DISABLED Test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16 (__main__.TestFlexAttentionCUDA)
Disabled Test: test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16 (main.TestFlexAttentionCUDA)
The test test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16 in the __main__.TestFlexAttentionCUDA class has been disabled due to its failure in Continuous Integration (CI). This test is part of the PyTorch project and is used to verify the functionality of the flexible attention mechanism in the CUDA backend.
Platforms
The test is currently failing on the Linux platform.
Flakiness
The test has been determined to be flaky over the past 3 hours, with 3 workflow failures and 3 successes. This indicates that the test is not consistently passing or failing, making it challenging to diagnose the issue.
Debugging Instructions
To debug this test, follow these steps:
- Click on the recent samples link: Visit the recent examples page to view the recent failures of this test.
- Click on the workflow logs: Click on the workflow logs link to view the logs of the workflow that failed.
- Expand the Test step: Click on the Test step of the job to expand it, as this will allow you to grep for the test name.
- Grep for the test name: Use the
grepcommand to search for the test nametest_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16in the logs. - Study the logs: Review the logs to identify the specific issues that are causing the test to fail.
Test File Path
The test file path is inductor/test_flex_attention.py.
CC
We would like to bring this issue to the attention of the following developers:
- @clee2000
- @voznesenskym
- @penguinwu
- @EikanWang
- @jgong5
- @Guobing-Chen
- @XiaobingSuper
- @zhuhaozhe
- @blzheng
- @wenzhe-nrv
- @jiayisunx
- @ipiszy
- @chenyang78
- @kadeng
- @muchulee8
- @amjames
- @chauhang
- @aakhundov
The test test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16 has been disabled due to its flakiness and failure in CI. To resolve this issue, we need to investigate the logs and identify the specific problems that are causing the test to fail. We encourage the developers listed above to review the logs and provide their expertise to resolve this issue.
Test Details
Test Name
test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16
Test Class
__main__.TestFlexAttentionCUDA
Test File Path
inductor/test_flex_attention.py
Platforms
Linux
akiness
3 workflow failures, 3 successes over the past 3 hours
Recent Examples
Workflow Logs
Debugging Steps
- Click on the recent samples link
- Click on the workflow logs
- Expand the Test step
- Grep for the test name
- Study the logs
CC
@clee2000
@voznesenskym
@penguinwu
@EikanWang
@jgong5
@Guobing-Chen
@XiaobingSuper
@zhuhaozhe
@blzheng
@wenzhe-nrv
@jiayisunx
@ipiszy
@chenyang78
@kadeng
@muchulee8
@amjames
@chauhang
@aakhundov
Q&A: Disabled Test test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16
Q: What is the current status of the test test_non_equal_head_dims_score_mod3_float16_head_dims1_cuda_float16?
A: The test has been disabled due to its failure in Continuous Integration (CI).
Q: Why is the test failing? A: The test is failing due to its flakiness, which means it is not consistently passing or failing. This makes it challenging to diagnose the issue.
Q: What is the platform on which the test is failing? A: The test is currently failing on the Linux platform.
Q: How many workflow failures and successes have been observed over the past 3 hours? A: There have been 3 workflow failures and 3 successes over the past 3 hours.
Q: What are the debugging instructions for this test? A: To debug this test, follow these steps:
- Click on the recent samples link
- Click on the workflow logs
- Expand the Test step
- Grep for the test name
- Study the logs
Q: What is the test file path?
A: The test file path is inductor/test_flex_attention.py.
Q: Who should be aware of this issue? A: We would like to bring this issue to the attention of the following developers:
- @clee2000
- @voznesenskym
- @penguinwu
- @EikanWang
- @jgong5
- @Guobing-Chen
- @XiaobingSuper
- @zhuhaozhe
- @blzheng
- @wenzhe-nrv
- @jiayisunx
- @ipiszy
- @chenyang78
- @kadeng
- @muchulee8
- @amjames
- @chauhang
- @aakhundov
Q: What is the next step to resolve this issue? A: We need to investigate the logs and identify the specific problems that are causing the test to fail. We encourage the developers listed above to review the logs and provide their expertise to resolve this issue.
Frequently Asked Questions
Q: What is flakiness in the context of testing?
A: Flakiness refers to the phenomenon where a test is not consistently passing or failing, making it challenging to diagnose the issue.
Q: Why is it essential to investigate the logs to resolve this issue?
A: Investigating the logs is crucial to identify the specific problems that are causing the test to fail. This will help us to understand the root cause of the issue and provide a solution.
Q: Who should be involved in resolving this issue?
A: We encourage the developers listed above to review the logs and provide their expertise to resolve this issue.
Q: What is the expected outcome of resolving this issue?
A: The expected outcome is to resolve the flakiness of the test and ensure that it passes consistently in CI.