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.

Sign up for GitHub

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

[Training] Support for Transformers 4.37 #459

Merged
merged 2 commits into from
Feb 16, 2024
Merged

[Training] Support for Transformers 4.37 #459

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f77dd03
Remove the use of is_torch_less_than_1_11
michaelbenayoun Feb 2, 2024
6201282
Merge branch 'main' into fix_for_transformers_4_37
michaelbenayoun Feb 15, 2024
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
3 changes: 1 addition & 2 deletions optimum/neuron/trainers.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,6 @@
from transformers.debug_utils import DebugOption, DebugUnderflowOverflow
from transformers.integrations import hp_params
from transformers.modeling_utils import unwrap_model
from transformers.pytorch_utils import is_torch_less_than_1_11
from transformers.trainer import (
OPTIMIZER_NAME,
SCHEDULER_NAME,
Expand Down Expand Up @@ -861,7 +860,7 @@ def _inner_training_loop(

sampler_kinds.append(SeedableRandomSampler)
is_random_sampler = isinstance(sampler, tuple(sampler_kinds))
if is_torch_less_than_1_11 or not is_random_sampler:
if not is_random_sampler:
# We just need to begin an iteration to create the randomization of the sampler.
for _ in train_dataloader:
break
Expand Down
Loading