refine image_resize annotation (#15976)

* fix image_resize annotation

test=develop

* fix some typo

* Update nn.py

* Update interpolate_op.cc

test=develop

paddle/fluid/operators/interpolate_op.cc

@@ -84,13 +84,13 @@ class InterpolateOpMaker : public framework::OpProtoAndCheckerMaker {
         .SetDefault("bilinear");
     AddAttr<bool>(
         "align_corners",
-        "an optinal bool. Defaults to True. "
+        "an optional bool. Defaults to True. "
         "If True, the centers of 4 corner pixels of the input and output "
         "tensors are aligned, preserving the values at the corner pixels, "
-        "if Flase, are not aligned")
+        "If False, are not aligned")
         .SetDefault(true);
     AddAttr<int>("align_mode",
-                 "(int, default \'1\'), optional for bilinear interpolation"
+                 "(int, default \'1\'), optional for bilinear interpolation, "
                  "can be \'0\' for src_idx = scale*(dst_indx+0.5)-0.5 , "
                  "can be \'1\' for src_idx = scale*dst_index .")
         .SetDefault(1);

python/paddle/fluid/layers/nn.py

@@ -6844,6 +6844,8 @@ def image_resize(input,
 
     Example:
 
+    .. code-block:: text
+
         For scale:
           
             if align_corners = True && out_size > 1 :
@@ -6863,8 +6865,8 @@ def image_resize(input,
               input : (N,C,H_in,W_in)
               output: (N,C,H_out,W_out) where:
 
-          H_out = \left \lfloor {H_{in} * scale_{}factor}} \right \rfloor
-          W_out = \left \lfloor {W_{in} * scale_{}factor}} \right \rfloor
+              H_out = floor (H_{in} * scale_{factor})
+              W_out = floor (W_{in} * scale_{factor})
 
           else:
               align_corners = True
@@ -7048,12 +7050,10 @@ def resize_bilinear(input,
     Align_corners and align_mode are optinal parameters,the calculation 
     method of interpolation can be selected by them.
 
-
-    Align_corners and align_mode are optinal parameters,the calculation method 
-    of interpolation can be selected by them.
-
     Example:
 
+    .. code-block:: text
+
         For scale:
           
             if align_corners = True && out_size > 1 :
@@ -7134,12 +7134,14 @@ def resize_nearest(input,
                    align_corners=True):
     """
     Resize input by performing nearest neighbor interpolation in both the
-    3rd dimention(in height direction) and the 4th dimention(in width
-    direction) based on given output shape which specified by actual_shape,
+    3rd dimension(in height direction) and the 4th dimension(in width
+    direction) based on given output shape which is specified by actual_shape,
     out_shape and scale in priority order.
 
     Example:
 
+    .. code-block:: text
+
         For scale:
           
             if align_corners = True && out_size > 1 :
@@ -7159,8 +7161,8 @@ def resize_nearest(input,
               input : (N,C,H_in,W_in)
               output: (N,C,H_out,W_out) where:
 
-          H_out = \left \lfloor {H_{in} * scale_{}factor}} \right \rfloor
-          W_out = \left \lfloor {W_{in} * scale_{}factor}} \right \rfloor
+              H_out = floor(H_{in} * scale_{factor})
+              W_out = floor(W_{in} * scale_{factor})
 
           else:
               align_corners = True