Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix docs filterwarnings snippet #10671

Merged
merged 1 commit into from
Nov 22, 2021
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
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
"""""
Expand Down
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'
carmocca marked this conversation as resolved.
Show resolved Hide resolved
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`"
Expand Down