silence ppseg warning

paddlex/paddleseg/cvlibs/param_init.py

@@ -58,7 +58,7 @@ def normal_init(param, **kwargs):
 
 
 def kaiming_normal_init(param, **kwargs):
-    """
+    r"""
     Initialize the input tensor with Kaiming Normal initialization.
 
     This function implements the `param` initialization from the paper

paddlex/paddleseg/models/losses/binary_cross_entropy_loss.py

@@ -21,7 +21,7 @@ from paddlex.paddleseg.cvlibs import manager
 
 @manager.LOSSES.add_component
 class BCELoss(nn.Layer):
-    """
+    r"""
     This operator combines the sigmoid layer and the :ref:`api_nn_loss_BCELoss` layer.
     Also, we can see it as the combine of ``sigmoid_cross_entropy_with_logits``
     layer and some reduce operations.

paddlex/paddleseg/models/losses/lovasz_loss.py

@@ -41,7 +41,7 @@ class LovaszSoftmaxLoss(nn.Layer):
         self.classes = classes
 
     def forward(self, logits, labels):
-        """
+        r"""
         Forward computation.
 
         Args:
@@ -68,7 +68,7 @@ class LovaszHingeLoss(nn.Layer):
         self.ignore_index = ignore_index
 
     def forward(self, logits, labels):
-        """
+        r"""
         Forward computation.
 
         Args:
@@ -111,7 +111,7 @@ def binary_channel_to_unary(logits, eps=1e-9):
 
 
 def lovasz_hinge_flat(logits, labels):
-    """
+    r"""
     Binary Lovasz hinge loss.
 
     Args: