6028 6041 Upgrade ignite dependency to 0.4.11

docs/requirements.txt

@@ -1,6 +1,6 @@
 -f https://download.pytorch.org/whl/cpu/torch-1.12.1%2Bcpu-cp37-cp37m-linux_x86_64.whl
 torch>=1.8
-pytorch-ignite==0.4.10
+pytorch-ignite==0.4.11
 numpy>=1.20
 itk>=5.2
 nibabel

monai/engines/multi_gpu_supervised_trainer.py

@@ -20,7 +20,7 @@
 
 from monai.config import IgniteInfo
 from monai.engines.utils import get_devices_spec
-from monai.utils import min_version, optional_import
+from monai.utils import deprecated, min_version, optional_import
 
 create_supervised_trainer, _ = optional_import(
     "ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "create_supervised_trainer"
@@ -53,6 +53,11 @@ def _default_eval_transform(
     return y_pred, y
 
 
+@deprecated(
+    since="1.1",
+    removed="1.3",
+    msg_suffix=("Native ignite engine lacks support of many MONAI features, please use `SupervisedTrainer` instead."),
+)
 def create_multigpu_supervised_trainer(
     net: torch.nn.Module,
     optimizer: Optimizer,
@@ -100,10 +105,23 @@ def create_multigpu_supervised_trainer(
         net = DataParallel(net)
 
     return create_supervised_trainer(  # type: ignore[no-any-return]
-        net, optimizer, loss_fn, devices_[0], non_blocking, prepare_batch, output_transform
+        model=net,
+        optimizer=optimizer,
+        loss_fn=loss_fn,
+        device=devices_[0],
+        non_blocking=non_blocking,
+        prepare_batch=prepare_batch,
+        output_transform=output_transform,
     )
 
 
+@deprecated(
+    since="1.1",
+    removed="1.3",
+    msg_suffix=(
+        "Native ignite evaluator lacks support of many MONAI features, please use `SupervisedEvaluator` instead."
+    ),
+)
 def create_multigpu_supervised_evaluator(
     net: torch.nn.Module,
     metrics: dict[str, Metric] | None = None,
@@ -153,5 +171,10 @@ def create_multigpu_supervised_evaluator(
         net = DataParallel(net)
 
     return create_supervised_evaluator(  # type: ignore[no-any-return]
-        net, metrics, devices_[0], non_blocking, prepare_batch, output_transform
+        model=net,
+        metrics=metrics,
+        device=devices_[0],
+        non_blocking=non_blocking,
+        prepare_batch=prepare_batch,
+        output_transform=output_transform,
     )

requirements-dev.txt

@@ -1,6 +1,6 @@
 # Full requirements for developments
 -r requirements-min.txt
-pytorch-ignite==0.4.10
+pytorch-ignite==0.4.11
 gdown>=4.4.0
 scipy
 itk>=5.2

setup.cfg

@@ -53,7 +53,7 @@ all =
     pillow
     tensorboard
     gdown>=4.4.0
-    pytorch-ignite==0.4.10
+    pytorch-ignite==0.4.11
     torchvision
     itk>=5.2
     tqdm>=4.47.0
@@ -90,7 +90,7 @@ tensorboard =
 gdown =
     gdown>=4.4.0
 ignite =
-    pytorch-ignite==0.4.10
+    pytorch-ignite==0.4.11
 torchvision =
     torchvision
 itk =