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❌ 1 New FailuresAs of commit bec6c8a (more details on the Dr. CI page): Expand to see more
🕵️ 1 new failure recognized by patternsThe following CI failures do not appear to be due to upstream breakages
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Test failures are real (I don't know what TestLazyOps is doing, must be some silly stuff) |
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xla failure is also real, and they also for some reason testing lshift on float |
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@JackCaoG can you change the inputs from FLoat to integer here and in similar places https://github.com/pytorch/xla/blob/3c83269f8b163243263078c2f1e93d7617321712/test/cpp/test_aten_xla_tensor.cpp#L9157? It doesn't make sense to do lshift operations on floating point types. |
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I will draft a xla pr for this. |
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Thanks! Note that it can (and should) be landed without waiting for this PR, because lshift/rshift should work on integral inputs only. |
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@ngimel XLA PR is merged, we should be good to go for this one. |
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@pytorchbot merge this |
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Hey @zasdfgbnm. |
Summary: Fixes #74358 Pull Request resolved: #77146 Approved by: https://github.com/ngimel Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/cc9d0f309ec72cc53ffbbca3044ddb1a61c8ecf3 Reviewed By: atalman Differential Revision: D36353737 Pulled By: atalman fbshipit-source-id: 8b778725c3121e4dcb959a5b7d77707862a5fbff
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Fixes #74358