Update module path for `LightningDeprecationWarning` in setup.cfg (#11793)
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@ -289,7 +289,7 @@ def register_ddp_comm_hook(
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if not _TORCH_GREATER_EQUAL_1_9:
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rank_zero_warn("Not applying DDP comm wrapper. To use communication wrapper, please use pytorch>=1.9.0.")
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else:
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rank_zero_info(
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new_rank_zero_info(
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f"DDP comm wrapper is provided, apply {ddp_comm_wrapper.__qualname__}({ddp_comm_hook.__qualname__})."
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)
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ddp_comm_hook = ddp_comm_wrapper(ddp_comm_hook)
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@ -336,7 +336,7 @@ def init_dist_connection(
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torch.distributed.init_process_group(torch_distributed_backend, rank=global_rank, world_size=world_size, **kwargs)
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# on rank=0 let everyone know training is starting
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rank_zero_info(
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new_rank_zero_info(
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f"{'-' * 100}\n"
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f"distributed_backend={torch_distributed_backend}\n"
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f"All distributed processes registered. Starting with {world_size} processes\n"
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@ -26,12 +26,12 @@ addopts =
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--disable-pytest-warnings
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filterwarnings =
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# error out on our deprecation warnings - ensures the code and tests are kept up-to-date
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error::pytorch_lightning.utilities.warnings.LightningDeprecationWarning
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error::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning
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error::FutureWarning
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# warnings from deprecated modules on import
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# TODO: remove in 1.7
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ignore::pytorch_lightning.utilities.warnings.LightningDeprecationWarning:pytorch_lightning.core.decorators
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ignore::pytorch_lightning.utilities.warnings.LightningDeprecationWarning:pytorch_lightning.core.memory
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ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.decorators
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ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.memory
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junit_duration_report = call
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