Silence pytype identified warnings

Author: wyli

monai/data/utils.py

@@ -234,7 +234,7 @@ def worker_init_fn(worker_id):
     It can set different random seed for the transforms in different workers.
 
     """
-    worker_info = torch.utils.data.get_worker_info()
+    worker_info = torch.utils.data.get_worker_info()  # type: ignore
     if hasattr(worker_info.dataset, "transform") and hasattr(worker_info.dataset.transform, "set_random_state"):
         worker_info.dataset.transform.set_random_state(worker_info.seed % (2 ** 32))
 

monai/engines/workflow.py

@@ -68,7 +68,7 @@ def __init__(
             self.logger.info("Will add AMP support when PyTorch v1.6 released.")
         if not isinstance(device, torch.device):
             raise ValueError("device must be PyTorch device object.")
-        if not isinstance(data_loader, torch.utils.data.DataLoader):
+        if not isinstance(data_loader, torch.utils.data.DataLoader):  # type: ignore
             raise ValueError("data_loader must be PyTorch DataLoader.")
 
         # set all sharable data for the workflow based on Ignite engine.state

monai/handlers/validation_handler.py

@@ -20,7 +20,7 @@ class ValidationHandler:
 
     """
 
-    def __init__(self, validator: Evaluator, interval: int, epoch_level: bool = True) -> None:
+    def __init__(self, validator: Evaluator, interval: int, epoch_level: bool = True) -> None:  # type: ignore
         """
         Args:
             validator (Evaluator): run the validator when trigger validation, suppose to be Evaluator.
@@ -29,7 +29,7 @@ def __init__(self, validator: Evaluator, interval: int, epoch_level: bool = True
                 `True` is epoch level, `False` is iteration level.
 
         """
-        if not isinstance(validator, Evaluator):
+        if not isinstance(validator, Evaluator):  # type: ignore
             raise ValueError("validator must be Evaluator ignite engine.")
         self.validator = validator
         self.interval = interval

monai/transforms/spatial/array.py

@@ -410,7 +410,7 @@ def __init__(
 
         if self.use_gpu:
             try:
-                from cupyx.scipy.ndimage import zoom as zoom_gpu
+                from cupyx.scipy.ndimage import zoom as zoom_gpu  # type: ignore
 
                 self._zoom = zoom_gpu
             except ImportError:
@@ -434,7 +434,7 @@ def __call__(
         """
         zoomed = list()
         if self.use_gpu:
-            import cupy
+            import cupy  # type: ignore
 
             for channel in cupy.array(img):
                 zoom_channel = self._zoom(