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Fix internal tests affected by D77980055 #12554
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/12554
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 073d3b8 with merge base 4456407 ( NEW FAILURE - The following job has failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
This PR needs a
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Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
Summary: Pull Request resolved: pytorch#12554 Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
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Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
exir/tests/test_memory_planning.py
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| self.assertEqual( | ||
| ep.executorch_program.execution_plan[0] | ||
| .values[147] | ||
| .values[149] |
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Not sure how this will pass w/o pytorch/pytorch#144765. But if it does, then the test may not care about it in the first place :)
| "executorch_exir_dialects_edge__ops_aten_sum_dim_IntList": 3, | ||
| "executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar": 2, | ||
| "executorch_exir_dialects_edge__ops_aten_full_like_default": 1, | ||
| "executorch_exir_dialects_edge__ops_aten_full_default": 1, |
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same here.
digantdesai
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Stamping to unblock.
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Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
78fd441 to
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
Summary: Pull Request resolved: pytorch#12554 Looks like the change to how full_like is decomposed means these tests need some tweaks Reviewed By: digantdesai Differential Revision: D77981005
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This pull request was exported from Phabricator. Differential Revision: D77981005 |
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AFAICT the test failure is entirely unrelated; it would have to be since I'm just commenting out tests here. |
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@pytorchbot merge -i |
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Mergebot is not configured for this repository. Please use the merge button provided by GitHub. |
Summary: Looks like the change to how full_like is decomposed means these tests need some tweaks
Differential Revision: D77981005