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4 changes: 1 addition & 3 deletions docs/source/guides/speed.rst
Original file line number Diff line number Diff line change
Expand Up @@ -151,9 +151,7 @@ For debugging purposes or for dataloaders that load very small datasets, it is d

import warnings

warnings.filterwarnings(
"ignore", ".*does not have many workers. Consider increasing the value of the `num_workers` argument*"
)
warnings.filterwarnings("ignore", ".*Consider increasing the value of the `num_workers` argument*")

Spawn
"""""
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1 change: 1 addition & 0 deletions pytorch_lightning/trainer/data_loading.py
Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,7 @@ def _worker_check(self, dataloader: DataLoader, name: str) -> None:
)

elif dataloader.num_workers <= 2 < num_cpus and not using_spawn:
# if changed, update the `filterwarnings` snippet in 'speed.html#num-workers'
rank_zero_warn(
f"The dataloader, {name}, does not have many workers which may be a bottleneck."
" Consider increasing the value of the `num_workers` argument`"
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