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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61294 Pull Request resolved: https://github.com/pytorch/pytorch/pull/60925 * Make `torch.distributed.launch` restarts to 0 * Remove unnecessary `-use_env` warning, move `-use_env` warnings * Move `-use_env` warnings to `torch.distributed.launch` * Make default log level WARNING * Add new doc section around transitioning to `torch.distributed.run` * Make `torch.distributed.launch` not use error-propagation * Set default events handler to `null` that does not print events to console * Add reference from `torch.distributed.launch` to `torch.distributed.run` * Set correct preexec function that sends SIGTERM to child processes when parent dies Issues resolved: https://github.com/pytorch/pytorch/issues/60716 https://github.com/pytorch/pytorch/issues/60754 Test Plan: sandcastle python -m torch.distributed.launch --nproc_per_node 2 main.py -> uses 0 restarts python -m torch.distributed.run --nproc_per_node 2 main.py -> uses default for torchelastic, 0 restarts python -m torch.distributed.launch --nproc_per_node=4 --use_env --no_python main.py -> produces error python -m torch.distributed.launch --nproc_per_node=4 --use_env main.py -> no warning python -m torch.distributed.launch --nproc_per_node=4 --no_python main.py ->warning Output of running torch.distributed.launch without --use_env: $path/torch/distributed/launch.py:173: FutureWarning: The module torch.distributed.launch is deprecated and will be removed in future. Use torch.distributed.run. Note that --use_env is set by default in torch.distributed.run. If your script expects `--local_rank` argument to be set, please change it to read from `os.environ('LOCAL_RANK')` instead. New section: {F628923078} {F628974089} Reviewed By: cbalioglu Differential Revision: D29559553 fbshipit-source-id: 03ed9ba638bf154354e1530ffc964688431edf6b
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408 B
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20 lines
408 B
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.. _elastic_errors-api:
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Error Propagation
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==================
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.. automodule:: torch.distributed.elastic.multiprocessing.errors
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Methods and Classes
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---------------------
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.. currentmodule:: torch.distributed.elastic.multiprocessing.errors
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.. autofunction:: torch.distributed.elastic.multiprocessing.errors.record
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.. autoclass:: ChildFailedError
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.. autoclass:: ErrorHandler
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.. autoclass:: ProcessFailure
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