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Some @slowtests are never run in CI #39061

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mruberry opened this issue May 27, 2020 · 2 comments
Open

Some @slowtests are never run in CI #39061

mruberry opened this issue May 27, 2020 · 2 comments
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high priority module: tests Issues related to tests (not the torch.testing module) quansight-nack High-prio issues that have been reviewed by Quansight and are judged to be not actionable. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@mruberry
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mruberry commented May 27, 2020

#39060, for example, which is broken.

See output of of our one slow test build (master only) here: https://circleci.com/api/v1.1/project/github/pytorch/pytorch/5584582/output/106/0?file=true&allocation-id=5ece29ff9a720f435538c71f-0-build%2F1426355C.

cc @ezyang @gchanan @zou3519 @bdhirsh @heitorschueroff @mruberry @VitalyFedyunin

@mruberry mruberry added high priority module: tests Issues related to tests (not the torch.testing module) labels May 27, 2020
@ngimel
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ngimel commented May 27, 2020

This test is nominally run, but since it requires more memory than our machines have, it is effectively skipped https://github.com/pytorch/pytorch/pull/33310/files.
This is a general problem, however, a handful of tests specifically added to test behavior of ops on large tensors legitimately require more than 6 GB memory that our test machines have.

@ezyang
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ezyang commented May 27, 2020

See also #18856

@gchanan gchanan added triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module and removed triage review labels Jun 1, 2020
@mruberry mruberry added the quansight-nack High-prio issues that have been reviewed by Quansight and are judged to be not actionable. label Nov 6, 2020
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Labels
high priority module: tests Issues related to tests (not the torch.testing module) quansight-nack High-prio issues that have been reviewed by Quansight and are judged to be not actionable. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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