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Fix LRScheduler issue of PyTorch #241

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May 17, 2023
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10 changes: 7 additions & 3 deletions src/templates/template-text-classification/main.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,10 +11,14 @@
from ignite.utils import manual_seed
from models import TransformerModel
from torch import nn, optim
from torch.optim.lr_scheduler import _LRScheduler
from trainers import setup_evaluator, setup_trainer
from utils import *

try:
from torch.optim.lr_scheduler import _LRScheduler as PyTorchLRScheduler
except ImportError:
from torch.optim.lr_scheduler import LRScheduler as PyTorchLRScheduler

os.environ["TOKENIZERS_PARALLELISM"] = "false" # remove tokenizer paralleism warning


Expand Down Expand Up @@ -78,10 +82,10 @@ def run(local_rank: int, config: Any):
(config.output_dir / "config-lock.yaml").write_text(yaml.dump(config))
trainer.logger = evaluator.logger = logger

if isinstance(lr_scheduler, _LRScheduler):
if isinstance(lr_scheduler, PyTorchLRScheduler):
trainer.add_event_handler(
Events.ITERATION_COMPLETED,
lambda engine: cast(_LRScheduler, lr_scheduler).step(),
lambda engine: cast(PyTorchLRScheduler, lr_scheduler).step(),
)
elif isinstance(lr_scheduler, LRScheduler):
trainer.add_event_handler(Events.ITERATION_COMPLETED, lr_scheduler)
Expand Down
11 changes: 8 additions & 3 deletions src/templates/template-vision-segmentation/main.py
Original file line number Diff line number Diff line change
Expand Up @@ -11,11 +11,16 @@
from ignite.utils import manual_seed
from models import setup_model
from torch import nn, optim
from torch.optim.lr_scheduler import _LRScheduler, LambdaLR
from torch.optim.lr_scheduler import LambdaLR
from trainers import setup_evaluator, setup_trainer
from utils import *
from vis import predictions_gt_images_handler

try:
from torch.optim.lr_scheduler import LRScheduler as PyTorchLRScheduler
except ImportError:
from torch.optim.lr_scheduler import _LRScheduler as PyTorchLRScheduler


def run(local_rank: int, config: Any):
# make a certain seed
Expand Down Expand Up @@ -71,10 +76,10 @@ def run(local_rank: int, config: Any):
(config.output_dir / "config-lock.yaml").write_text(yaml.dump(config))
trainer.logger = evaluator.logger = logger

if isinstance(lr_scheduler, _LRScheduler):
if isinstance(lr_scheduler, PyTorchLRScheduler):
trainer.add_event_handler(
Events.ITERATION_COMPLETED,
lambda engine: cast(_LRScheduler, lr_scheduler).step(),
lambda engine: cast(PyTorchLRScheduler, lr_scheduler).step(),
)
elif isinstance(lr_scheduler, LRScheduler):
trainer.add_event_handler(Events.ITERATION_COMPLETED, lr_scheduler)
Expand Down