Update module path for LightningDeprecationWarning in setup.cfg (#1…

…1793)

pytorch_lightning/utilities/distributed.py

@@ -289,7 +289,7 @@ def register_ddp_comm_hook(
         if not _TORCH_GREATER_EQUAL_1_9:
             rank_zero_warn("Not applying DDP comm wrapper. To use communication wrapper, please use pytorch>=1.9.0.")
         else:
-            rank_zero_info(
+            new_rank_zero_info(
                 f"DDP comm wrapper is provided, apply {ddp_comm_wrapper.__qualname__}({ddp_comm_hook.__qualname__})."
             )
             ddp_comm_hook = ddp_comm_wrapper(ddp_comm_hook)
@@ -336,7 +336,7 @@ def init_dist_connection(
     torch.distributed.init_process_group(torch_distributed_backend, rank=global_rank, world_size=world_size, **kwargs)
 
     # on rank=0 let everyone know training is starting
-    rank_zero_info(
+    new_rank_zero_info(
         f"{'-' * 100}\n"
         f"distributed_backend={torch_distributed_backend}\n"
         f"All distributed processes registered. Starting with {world_size} processes\n"

setup.cfg

@@ -26,12 +26,12 @@ addopts =
     --disable-pytest-warnings
 filterwarnings =
     # error out on our deprecation warnings - ensures the code and tests are kept up-to-date
-    error::pytorch_lightning.utilities.warnings.LightningDeprecationWarning
+    error::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning
     error::FutureWarning
     # warnings from deprecated modules on import
     # TODO: remove in 1.7
-    ignore::pytorch_lightning.utilities.warnings.LightningDeprecationWarning:pytorch_lightning.core.decorators
-    ignore::pytorch_lightning.utilities.warnings.LightningDeprecationWarning:pytorch_lightning.core.memory
+    ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.decorators
+    ignore::pytorch_lightning.utilities.rank_zero.LightningDeprecationWarning:pytorch_lightning.core.memory
 
 junit_duration_report = call