From 4556ad76b42cb7abee81d8f53c1bbae2675252dd Mon Sep 17 00:00:00 2001
From: Leo Chen <chenqiuliang@baidu.com>
Date: Tue, 1 Dec 2020 10:46:29 +0800
Subject: [PATCH] Upgrade string literals to raw string [part 2](#29217)

---
 python/paddle/fluid/contrib/optimizer.py | 2 +-
 python/paddle/fluid/dygraph/nn.py        | 2 +-
 python/paddle/nn/functional/loss.py      | 2 +-
 python/paddle/nn/layer/loss.py           | 4 ++--
 python/paddle/optimizer/lamb.py          | 2 +-
 python/paddle/vision/ops.py              | 4 ++--
 6 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/python/paddle/fluid/contrib/optimizer.py b/python/paddle/fluid/contrib/optimizer.py
index 347edc8578..968bfa92b5 100644
--- a/python/paddle/fluid/contrib/optimizer.py
+++ b/python/paddle/fluid/contrib/optimizer.py
@@ -24,7 +24,7 @@ __all__ = ['Momentum']
 
 
 class Momentum(Optimizer):
-    """
+    r"""
 
     Simple Momentum optimizer with velocity state
 
diff --git a/python/paddle/fluid/dygraph/nn.py b/python/paddle/fluid/dygraph/nn.py
index 9382f6b8e7..12ea7c5ff6 100644
--- a/python/paddle/fluid/dygraph/nn.py
+++ b/python/paddle/fluid/dygraph/nn.py
@@ -2979,7 +2979,7 @@ class GroupNorm(layers.Layer):
 
 
 class SpectralNorm(layers.Layer):
-    """
+    r"""
     This interface is used to construct a callable object of the ``SpectralNorm`` class.
     For more details, refer to code examples. It implements the function of the Spectral Normalization Layer.
     This layer calculates the spectral normalization value of weight parameters of
diff --git a/python/paddle/nn/functional/loss.py b/python/paddle/nn/functional/loss.py
index 7b7521d53a..cc1010772c 100755
--- a/python/paddle/nn/functional/loss.py
+++ b/python/paddle/nn/functional/loss.py
@@ -1123,7 +1123,7 @@ def cross_entropy(input,
                   soft_label=False,
                   axis=-1,
                   name=None):
-    """
+    r"""
     This operator implements the cross entropy loss function with softmax. This function 
     combines the calculation of the softmax operation and the cross entropy loss function 
     to provide a more numerically stable gradient.
diff --git a/python/paddle/nn/layer/loss.py b/python/paddle/nn/layer/loss.py
index 14992d1019..ae5f730f2d 100644
--- a/python/paddle/nn/layer/loss.py
+++ b/python/paddle/nn/layer/loss.py
@@ -141,7 +141,7 @@ class BCEWithLogitsLoss(fluid.dygraph.Layer):
 
 
 class CrossEntropyLoss(fluid.dygraph.Layer):
-    """
+    r"""
     This operator implements the cross entropy loss function with softmax. This function 
     combines the calculation of the softmax operation and the cross entropy loss function 
     to provide a more numerically stable gradient.
@@ -623,7 +623,7 @@ class BCELoss(fluid.dygraph.Layer):
 
 
 class NLLLoss(fluid.dygraph.Layer):
-    """
+    r"""
 	:alias_main: paddle.nn.NLLLoss
 	:alias: paddle.nn.NLLLoss,paddle.nn.layer.NLLLoss,paddle.nn.layer.loss.NLLLoss
 
diff --git a/python/paddle/optimizer/lamb.py b/python/paddle/optimizer/lamb.py
index de62257588..c6275a8230 100644
--- a/python/paddle/optimizer/lamb.py
+++ b/python/paddle/optimizer/lamb.py
@@ -21,7 +21,7 @@ __all__ = ["Lamb"]
 
 
 class Lamb(Optimizer):
-    """
+    r"""
     LAMB (Layer-wise Adaptive Moments optimizer for Batching training) Optimizer.
 
     LAMB Optimizer is designed to scale up the batch size of training without losing
diff --git a/python/paddle/vision/ops.py b/python/paddle/vision/ops.py
index 892f3a2581..1fd0b1d717 100644
--- a/python/paddle/vision/ops.py
+++ b/python/paddle/vision/ops.py
@@ -34,7 +34,7 @@ def yolo_loss(x,
               use_label_smooth=True,
               name=None,
               scale_x_y=1.):
-    """
+    r"""
 
     This operator generates YOLOv3 loss based on given predict result and ground
     truth boxes.
@@ -242,7 +242,7 @@ def yolo_box(x,
              clip_bbox=True,
              name=None,
              scale_x_y=1.):
-    """
+    r"""
 
     This operator generates YOLO detection boxes from output of YOLOv3 network.
     
-- 
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