Avoid printing the seed info message multiple times

src/lightning/fabric/CHANGELOG.md

@@ -11,7 +11,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Made saving non-distributed checkpoints fully atomic ([#20011](https://github.com/Lightning-AI/pytorch-lightning/pull/20011))
 
--
+- Added a flag `verbose` to the `seed_everything()` function ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
+
 
 ### Changed
 

src/lightning/fabric/fabric.py

@@ -909,7 +909,7 @@ def log_dict(self, metrics: Mapping[str, Any], step: Optional[int] = None) -> No
             logger.log_metrics(metrics=metrics, step=step)
 
     @staticmethod
-    def seed_everything(seed: Optional[int] = None, workers: Optional[bool] = None) -> int:
+    def seed_everything(seed: Optional[int] = None, workers: Optional[bool] = None, verbose: bool = True) -> int:
         r"""Helper function to seed everything without explicitly importing Lightning.
 
         See :func:`~lightning.fabric.utilities.seed.seed_everything` for more details.
@@ -919,7 +919,7 @@ def seed_everything(seed: Optional[int] = None, workers: Optional[bool] = None)
             # Lightning sets `workers=False` by default to avoid breaking reproducibility, but since this is a new
             # release, we can afford to do it.
             workers = True
-        return seed_everything(seed=seed, workers=workers)
+        return seed_everything(seed=seed, workers=workers, verbose=verbose)
 
     def _wrap_and_launch(self, to_run: Callable, *args: Any, **kwargs: Any) -> Any:
         self._launched = True

src/lightning/fabric/utilities/seed.py

@@ -17,7 +17,7 @@
 min_seed_value = 0
 
 
-def seed_everything(seed: Optional[int] = None, workers: bool = False) -> int:
+def seed_everything(seed: Optional[int] = None, workers: bool = False, verbose: bool = True) -> int:
     r"""Function that sets the seed for pseudo-random number generators in: torch, numpy, and Python's random module.
     In addition, sets the following environment variables:
 
@@ -32,6 +32,7 @@ def seed_everything(seed: Optional[int] = None, workers: bool = False) -> int:
             Trainer with a ``worker_init_fn``. If the user already provides such a function
             for their dataloaders, setting this argument will have no influence. See also:
             :func:`~lightning.fabric.utilities.seed.pl_worker_init_function`.
+        verbose: Whether to print a message on each rank with the seed being set.
 
     """
     if seed is None:
@@ -52,7 +53,9 @@ def seed_everything(seed: Optional[int] = None, workers: bool = False) -> int:
         rank_zero_warn(f"{seed} is not in bounds, numpy accepts from {min_seed_value} to {max_seed_value}")
         seed = 0
 
-    log.info(rank_prefixed_message(f"Seed set to {seed}", _get_rank()))
+    if verbose:
+        log.info(rank_prefixed_message(f"Seed set to {seed}", _get_rank()))
+
     os.environ["PL_GLOBAL_SEED"] = str(seed)
     random.seed(seed)
     if _NUMPY_AVAILABLE:
@@ -76,7 +79,7 @@ def reset_seed() -> None:
     if seed is None:
         return
     workers = os.environ.get("PL_SEED_WORKERS", "0")
-    seed_everything(int(seed), workers=bool(int(workers)))
+    seed_everything(int(seed), workers=bool(int(workers)), verbose=False)
 
 
 def pl_worker_init_function(worker_id: int, rank: Optional[int] = None) -> None:  # pragma: no cover

src/lightning/pytorch/CHANGELOG.md

@@ -13,7 +13,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Added `dump_stats` flag to `AdvancedProfiler` ([#19703](https://github.com/Lightning-AI/pytorch-lightning/issues/19703))
 
--
+- Added a flag `verbose` to the `seed_everything()` function ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
+
 
 ### Changed
 
@@ -41,7 +42,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Avoid LightningCLI saving hyperparameters with `class_path` and `init_args` since this would be a breaking change ([#20068](https://github.com/Lightning-AI/pytorch-lightning/pull/20068))
 
--
+- Fixed an issue that would cause too many printouts of the seed info when using `seed_everything()` ([#20108](https://github.com/Lightning-AI/pytorch-lightning/pull/20108))
 
 
 

tests/tests_fabric/utilities/test_seed.py

@@ -3,34 +3,34 @@
 from unittest import mock
 from unittest.mock import Mock
 
-import lightning.fabric.utilities
 import numpy
 import pytest
 import torch
 from lightning.fabric.utilities.seed import (
     _collect_rng_states,
     _set_rng_states,
     pl_worker_init_function,
+    reset_seed,
     seed_everything,
 )
 
 
 @mock.patch.dict(os.environ, clear=True)
 def test_default_seed():
     """Test that the default seed is 0 when no seed provided and no environment variable set."""
-    assert lightning.fabric.utilities.seed.seed_everything() == 0
+    assert seed_everything() == 0
     assert os.environ["PL_GLOBAL_SEED"] == "0"
 
 
 @mock.patch.dict(os.environ, {}, clear=True)
 def test_seed_stays_same_with_multiple_seed_everything_calls():
     """Ensure that after the initial seed everything, the seed stays the same for the same run."""
     with pytest.warns(UserWarning, match="No seed found"):
-        lightning.fabric.utilities.seed.seed_everything()
+        seed_everything()
     initial_seed = os.environ.get("PL_GLOBAL_SEED")
 
     with pytest.warns(None) as record:
-        lightning.fabric.utilities.seed.seed_everything()
+        seed_everything()
     assert not record  # does not warn
     seed = os.environ.get("PL_GLOBAL_SEED")
 
@@ -40,14 +40,14 @@ def test_seed_stays_same_with_multiple_seed_everything_calls():
 @mock.patch.dict(os.environ, {"PL_GLOBAL_SEED": "2020"}, clear=True)
 def test_correct_seed_with_environment_variable():
     """Ensure that the PL_GLOBAL_SEED environment is read."""
-    assert lightning.fabric.utilities.seed.seed_everything() == 2020
+    assert seed_everything() == 2020
 
 
 @mock.patch.dict(os.environ, {"PL_GLOBAL_SEED": "invalid"}, clear=True)
 def test_invalid_seed():
     """Ensure that we still fix the seed even if an invalid seed is given."""
     with pytest.warns(UserWarning, match="Invalid seed found"):
-        seed = lightning.fabric.utilities.seed.seed_everything()
+        seed = seed_everything()
     assert seed == 0
 
 
@@ -56,15 +56,15 @@ def test_invalid_seed():
 def test_out_of_bounds_seed(seed):
     """Ensure that we still fix the seed even if an out-of-bounds seed is given."""
     with pytest.warns(UserWarning, match="is not in bounds"):
-        actual = lightning.fabric.utilities.seed.seed_everything(seed)
+        actual = seed_everything(seed)
     assert actual == 0
 
 
 def test_reset_seed_no_op():
     """Test that the reset_seed function is a no-op when seed_everything() was not used."""
     assert "PL_GLOBAL_SEED" not in os.environ
     seed_before = torch.initial_seed()
-    lightning.fabric.utilities.seed.reset_seed()
+    reset_seed()
     assert torch.initial_seed() == seed_before
     assert "PL_GLOBAL_SEED" not in os.environ
 
@@ -75,18 +75,26 @@ def test_reset_seed_everything(workers):
     assert "PL_GLOBAL_SEED" not in os.environ
     assert "PL_SEED_WORKERS" not in os.environ
 
-    lightning.fabric.utilities.seed.seed_everything(123, workers)
+    seed_everything(123, workers)
     before = torch.rand(1)
     assert os.environ["PL_GLOBAL_SEED"] == "123"
     assert os.environ["PL_SEED_WORKERS"] == str(int(workers))
 
-    lightning.fabric.utilities.seed.reset_seed()
+    reset_seed()
     after = torch.rand(1)
     assert os.environ["PL_GLOBAL_SEED"] == "123"
     assert os.environ["PL_SEED_WORKERS"] == str(int(workers))
     assert torch.allclose(before, after)
 
 
+def test_reset_seed_non_verbose(caplog):
+    seed_everything(123)
+    assert len(caplog.records) == 1
+    caplog.clear()
+    reset_seed()  # should call `seed_everything(..., verbose=False)`
+    assert len(caplog.records) == 0
+
+
 def test_backward_compatibility_rng_states_dict():
     """Test that an older rng_states_dict without the "torch.cuda" key does not crash."""
     states = _collect_rng_states()