Modify args description and remove check

Author: zifuwanggg

monai/losses/dice.py

@@ -99,7 +99,8 @@ def __init__(
                 of the sequence should be the same as the number of classes. If not ``include_background``,
                 the number of classes should not include the background category class 0).
                 The value/values should be no less than 0. Defaults to None.
-            soft_label: whether the target contains non-binary values or not
+            soft_label: whether the target contains non-binary values (soft labels) or not.
+                If True a soft label formulation of the loss will be used.
 
         Raises:
             TypeError: When ``other_act`` is not an ``Optional[Callable]``.
@@ -302,7 +303,8 @@ def __init__(
             batch: whether to sum the intersection and union areas over the batch dimension before the dividing.
                 Defaults to False, intersection over union is computed from each item in the batch.
                 If True, the class-weighted intersection and union areas are first summed across the batches.
-            soft_label: whether the target contains non-binary values or not
+            soft_label: whether the target contains non-binary values (soft labels) or not.
+                If True a soft label formulation of the loss will be used.
 
         Raises:
             TypeError: When ``other_act`` is not an ``Optional[Callable]``.

monai/losses/tversky.py

@@ -75,7 +75,8 @@ def __init__(
             batch: whether to sum the intersection and union areas over the batch dimension before the dividing.
                 Defaults to False, a Dice loss value is computed independently from each item in the batch
                 before any `reduction`.
-            soft_label: whether the target contains non-binary values or not
+            soft_label: whether the target contains non-binary values (soft labels) or not.
+                If True a soft label formulation of the loss will be used.
 
         Raises:
             TypeError: When ``other_act`` is not an ``Optional[Callable]``.

monai/losses/utils.py

@@ -29,8 +29,6 @@ def compute_tp_fp_fn(
     Adapted from:
         https://github.com/zifuwanggg/JDTLosses
     """
-    if torch.unique(target).shape[0] > 2 and not soft_label:
-        warnings.warn("soft labels are used, but `soft_label == False`.")
 
     # the original implementation that is erroneous with soft labels
     if ord == 1 and not soft_label: