chore(deps): bump pytorch-ignite to 0.4.5 (#163)

Author: ydcjeff

src/templates/template-common/main.py

@@ -4,14 +4,7 @@
 
 #::: if (it.logger) { :::#
 if rank == 0:
-    from ignite.contrib.handlers.wandb_logger import WandBLogger
-
-    if isinstance(exp_logger, WandBLogger):
-        # why handle differently for wandb?
-        # See: https://github.com/pytorch/ignite/issues/1894
-        exp_logger.finish()
-    elif exp_logger:
-        exp_logger.close()
+    exp_logger.close()
 #::: } :::#
 
 #::: if (it.save_training || it.save_evaluation) { :::#

src/templates/template-common/requirements.txt

@@ -1,6 +1,6 @@
 torch>=1.8.0
 torchvision>=0.9.0
-pytorch-ignite>=0.4.4
+pytorch-ignite>=0.4.5
 pyyaml
 
 #::: if (['neptune', 'polyaxon'].includes(it.logger)) { :::#

src/templates/template-text-classification/main.py

@@ -5,8 +5,8 @@
 import ignite.distributed as idist
 import yaml
 from data import setup_data
-from ignite.contrib.handlers import LRScheduler, PiecewiseLinear
 from ignite.engine import Events
+from ignite.handlers import LRScheduler, PiecewiseLinear
 from ignite.metrics import Accuracy, Loss
 from ignite.utils import manual_seed
 from models import TransformerModel
@@ -157,14 +157,7 @@ def _():
     #::: if (it.logger) { :::#
     # close logger
     if rank == 0:
-        from ignite.contrib.handlers.wandb_logger import WandBLogger
-
-        if isinstance(exp_logger, WandBLogger):
-            # why handle differently for wandb?
-            # See: https://github.com/pytorch/ignite/issues/1894
-            exp_logger.finish()
-        elif exp_logger:
-            exp_logger.close()
+        exp_logger.close()
     #::: } :::#
     #
     #::: if (it.save_training || it.save_evaluation) { :::#

src/templates/template-text-classification/requirements.txt

@@ -1,6 +1,6 @@
 torch>=1.8.0
 torchvision>=0.9.0
-pytorch-ignite>=0.4.4
+pytorch-ignite>=0.4.5
 pyyaml
 transformers
 datasets

src/templates/template-vision-classification/main.py

@@ -113,14 +113,7 @@ def _():
     #::: if (it.logger) { :::#
     # close logger
     if rank == 0:
-        from ignite.contrib.handlers.wandb_logger import WandBLogger
-
-        if isinstance(exp_logger, WandBLogger):
-            # why handle differently for wandb?
-            # See: https://github.com/pytorch/ignite/issues/1894
-            exp_logger.finish()
-        elif exp_logger:
-            exp_logger.close()
+        exp_logger.close()
     #::: } :::#
     #
     #::: if (it.save_training || it.save_evaluation) { :::#

src/templates/template-vision-classification/requirements.txt

@@ -1,6 +1,6 @@
 torch>=1.8.0
 torchvision>=0.9.0
-pytorch-ignite>=0.4.4
+pytorch-ignite>=0.4.5
 pyyaml
 
 #::: if (['neptune', 'polyaxon'].includes(it.logger)) { :::#

src/templates/template-vision-dcgan/main.py

@@ -167,14 +167,7 @@ def _():
     #::: if (it.logger) { :::#
     # close logger
     if rank == 0:
-        from ignite.contrib.handlers.wandb_logger import WandBLogger
-
-        if isinstance(exp_logger, WandBLogger):
-            # why handle differently for wandb?
-            # See: https://github.com/pytorch/ignite/issues/1894
-            exp_logger.finish()
-        elif exp_logger:
-            exp_logger.close()
+        exp_logger.close()
     #::: } :::#
     #
     #::: if (it.save_training || it.save_evaluation) { :::#

src/templates/template-vision-dcgan/requirements.txt

@@ -1,6 +1,6 @@
 torch>=1.8.0
 torchvision>=0.9.0
-pytorch-ignite>=0.4.4
+pytorch-ignite>=0.4.5
 pyyaml
 
 #::: if (['neptune', 'polyaxon'].includes(it.logger)) { :::#

src/templates/template-vision-segmentation/main.py

@@ -5,8 +5,8 @@
 import ignite.distributed as idist
 import yaml
 from data import denormalize, setup_data
-from ignite.contrib.handlers import LRScheduler
 from ignite.engine import Events
+from ignite.handlers import LRScheduler
 from ignite.metrics import ConfusionMatrix, IoU, mIoU
 from ignite.utils import manual_seed
 from models import setup_model
@@ -176,14 +176,7 @@ def _():
     #::: if (it.logger) { :::#
     # close logger
     if rank == 0:
-        from ignite.contrib.handlers.wandb_logger import WandBLogger
-
-        if isinstance(exp_logger, WandBLogger):
-            # why handle differently for wandb?
-            # See: https://github.com/pytorch/ignite/issues/1894
-            exp_logger.finish()
-        elif exp_logger:
-            exp_logger.close()
+        exp_logger.close()
     #::: } :::#
     #
     #::: if (it.save_training || it.save_evaluation) { :::#

src/templates/template-vision-segmentation/requirements.txt

@@ -1,6 +1,6 @@
 torch>=1.8.0
 torchvision>=0.9.0
-pytorch-ignite>=0.4.4
+pytorch-ignite>=0.4.5
 pyyaml
 albumentations
 image_dataset_viz