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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/01/17 21:25:07 UTC
[GitHub] [tvm] junrushao1994 opened a new issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
junrushao1994 opened a new issue #9952:
URL: https://github.com/apache/tvm/issues/9952
### Branch/PR Failing
Looks like [this PR](https://github.com/apache/tvm/pull/9943) introduced a flaky test. Likely it's due to some concurrent merge.
### Jenkins Link
https://ci.tlcpack.ai/blue/organizations/jenkins/tvm/detail/main/2417/pipeline/
### Flakiness
Yes.
CC: @MasterJH5574
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[GitHub] [tvm] wrongtest commented on issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
Posted by GitBox <gi...@apache.org>.
wrongtest commented on issue #9952:
URL: https://github.com/apache/tvm/issues/9952#issuecomment-1015384470
cc @junrushao1994 @Hzfengsy
The fix trial is here https://github.com/apache/tvm/pull/9958
I am sorry for introducing this issue. I believe it is introduced by https://github.com/apache/tvm/pull/9372, but detected until subsequent change https://github.com/apache/tvm/pull/9880 which touch more testcases.
Developers have already pointed out that with equations like `xx + rx >= 1`, the `SolveInequalitiesToRange` create undetermined results for the failed case. After a look through I found that actually the result of ` SolveInequalitiesToRange` depend on the to-solve variables order we pass in. However, in the region analysis context, I used an unordered_dict with ObjectPtrHash to record the variables.
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[GitHub] [tvm] junrushao1994 closed issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
Posted by GitBox <gi...@apache.org>.
junrushao1994 closed issue #9952:
URL: https://github.com/apache/tvm/issues/9952
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[GitHub] [tvm] junrushao1994 commented on issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9952:
URL: https://github.com/apache/tvm/issues/9952#issuecomment-1015119442
CC @wrongtest @Hzfengsy
It looks like some randomness was introduced recently in `GetBlockReadWriteRegion`, possibly in [this commit](https://github.com/apache/tvm/commit/6f6fc68f5a028a92607b2907b9e4144543686639), but this particular robustness issue wasn't revealed until @MasterJH5574's PR:
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[GitHub] [tvm] wrongtest edited a comment on issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
Posted by GitBox <gi...@apache.org>.
wrongtest edited a comment on issue #9952:
URL: https://github.com/apache/tvm/issues/9952#issuecomment-1015384470
cc @junrushao1994 @Hzfengsy
The fix trial is here https://github.com/apache/tvm/pull/9958
I am sorry for introducing this issue. I believe it is introduced by https://github.com/apache/tvm/pull/9372, but detected until subsequent change https://github.com/apache/tvm/pull/9880 which touch more testcases.
Developers have already pointed out that with equations like `xx + rx >= 1`, the `SolveInequalitiesToRange` create undetermined results for the failed case. After a look through I found that actually the result of ` SolveInequalitiesToRange` depend on the to-solve variables order we pass in. However, in the region analysis context, I used an unordered_map with ObjectPtrHash to record the variables.
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[GitHub] [tvm] junrushao1994 commented on issue #9952: [CI Problem] Flaky Test: `tests/python/unittest/test_meta_schedule_schedule_rule_auto_inline.py::test_inline_into_cache`
Posted by GitBox <gi...@apache.org>.
junrushao1994 commented on issue #9952:
URL: https://github.com/apache/tvm/issues/9952#issuecomment-1015503832
Thanks for acting quickly on this issue @MasterJH5574 @wrongtest! I tried myself last night but failed to find the root reason. Thank you for finding this out!
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