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Delete TensorBoardLogger experiment before spawning the processes. #10777

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merged 16 commits into from
Nov 26, 2021

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@tchaton tchaton commented Nov 26, 2021

What does this PR do?

Fixes #<issue_number>

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@tchaton tchaton marked this pull request as ready for review November 26, 2021 15:00
@tchaton tchaton self-assigned this Nov 26, 2021
@tchaton tchaton added the bug Something isn't working label Nov 26, 2021
@tchaton tchaton added this to the 1.5.x milestone Nov 26, 2021
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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

@tchaton tchaton changed the title CI debug Delete TensorBoardLogger experiment before spawning the processes. Nov 26, 2021
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Build Error! No Linked Issue found. Please link an issue or mention it in the body using #<issue_id>

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is it possible to add a test?

pytorch_lightning/plugins/training_type/ddp_spawn.py Outdated Show resolved Hide resolved
@carmocca carmocca added the priority: 0 High priority task label Nov 26, 2021
@mergify mergify bot added the ready PRs ready to be merged label Nov 26, 2021
@tchaton tchaton enabled auto-merge (squash) November 26, 2021 16:39
@tchaton tchaton merged commit 6fe6e9e into master Nov 26, 2021
@tchaton tchaton deleted the test_ci branch November 26, 2021 17:07
loggers = trainer.logger._logger_iterable if isinstance(trainer.logger, LoggerCollection) else [trainer.logger]
for logger in loggers:
if isinstance(logger, TensorBoardLogger) and logger._experiment is not None:
rank_zero_warn(
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@tchaton Is it necessary to have this warning? This info won't be necessary for majority of users.

And this warning pops up every time a user trains with ddp_spawn, ddp_spawn_sharded and tpu_spawn as TensorBoard logger is the default.

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