Skip to content

Fix typos in get_next_train_batch and get_next_eval_batch in auto_unit #916

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

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open
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: 2 additions & 2 deletions torchtnt/framework/auto_unit.py
Original file line number Diff line number Diff line change
Expand Up @@ -876,7 +876,7 @@ def _update_weights(self, state: State) -> Optional[torch.Tensor]:
def get_next_train_batch(
self, state: State, data_iter: Iterator[TData]
) -> Union[Iterator[TData], TData]:
# Override the default behavior from PredictUnit in order to enable prefetching if possible.
# Override the default behavior from TrainUnit in order to enable prefetching if possible.
pass_data_iter_to_step = _step_requires_iterator(self.train_step)
if pass_data_iter_to_step:
return data_iter
Expand All @@ -885,7 +885,7 @@ def get_next_train_batch(
def get_next_eval_batch(
self, state: State, data_iter: Iterator[TData]
) -> Union[Iterator[TData], TData]:
# Override the default behavior from PredictUnit in order to enable prefetching if possible.
# Override the default behavior from EvalUnit in order to enable prefetching if possible.
pass_data_iter_to_step = _step_requires_iterator(self.eval_step)
if pass_data_iter_to_step:
return data_iter
Expand Down