Fix examples of API (#18092)

* fix logical APIs

test=develop

test=document_preview

* fix isfinite

* update matmul comments

* update API.spec

test=document_preview

test=develop

* update API.spec

test=document_preview

test=develop

* update API.spec

test=document_preview

test=develop

Author: Shixiaowei02

paddle/fluid/API.spec

@@ -141,7 +141,7 @@ paddle.fluid.layers.split (ArgSpec(args=['input', 'num_or_sections', 'dim', 'nam
 paddle.fluid.layers.ctc_greedy_decoder (ArgSpec(args=['input', 'blank', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2bc3a59efa9d52b628a6255422d9f0e8'))
 paddle.fluid.layers.edit_distance (ArgSpec(args=['input', 'label', 'normalized', 'ignored_tokens', 'input_length', 'label_length'], varargs=None, keywords=None, defaults=(True, None, None, None)), ('document', '77cbfb28cd2fc589f589c7013c5086cd'))
 paddle.fluid.layers.l2_normalize (ArgSpec(args=['x', 'axis', 'epsilon', 'name'], varargs=None, keywords=None, defaults=(1e-12, None)), ('document', 'c1df110ea65998984f564c5c10abc54a'))
-paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y', 'alpha', 'name'], varargs=None, keywords=None, defaults=(False, False, 1.0, None)), ('document', 'fa2081f6e731bb9de7cd535ca07f523a'))
+paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y', 'alpha', 'name'], varargs=None, keywords=None, defaults=(False, False, 1.0, None)), ('document', '3720b4a386585094435993deb028b592'))
 paddle.fluid.layers.topk (ArgSpec(args=['input', 'k', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e50940f3ce5a08cc477b72f517491bf3'))
 paddle.fluid.layers.warpctc (ArgSpec(args=['input', 'label', 'blank', 'norm_by_times', 'use_cudnn'], varargs=None, keywords=None, defaults=(0, False, False)), ('document', '4aa9df890b47eb67d5442f04aaf9eeec'))
 paddle.fluid.layers.sequence_reshape (ArgSpec(args=['input', 'new_dim'], varargs=None, keywords=None, defaults=None), ('document', 'f568714a876425004aca4ea2d4a27701'))
@@ -225,10 +225,10 @@ paddle.fluid.layers.slice (ArgSpec(args=['input', 'axes', 'starts', 'ends'], var
 paddle.fluid.layers.shape (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', 'bf61c8f79d795a8371bdb3b5468aa82b'))
 paddle.fluid.layers.rank (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', '096df0e0273145ab80ed119a4c294db3'))
 paddle.fluid.layers.size (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', 'cf2e156beae36378722666c4c33bebfe'))
-paddle.fluid.layers.logical_and (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1d6777f61831c54bea3a0029e2118448'))
-paddle.fluid.layers.logical_or (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '4d51a5a453755e0eb8c5ff6910a00dca'))
-paddle.fluid.layers.logical_xor (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1840f54c5bd5338bdf854980d47bf771'))
-paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', 'd8fc1c5a5535736d4cd44c893a9701c9'))
+paddle.fluid.layers.logical_and (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '12db97c6c459c0f240ec7006737174f2'))
+paddle.fluid.layers.logical_or (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '15adbc561618b7db69671e02009bea67'))
+paddle.fluid.layers.logical_xor (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '77ccf37b710c507dd97e03f08ce8bb29'))
+paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '6e2fe8a322ec69811f6507d22acf8f9f'))
 paddle.fluid.layers.clip (ArgSpec(args=['x', 'min', 'max', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0ce33756573c572da67302499455dbcd'))
 paddle.fluid.layers.clip_by_norm (ArgSpec(args=['x', 'max_norm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '99a1b9012d9c4495efc89d69958c3be7'))
 paddle.fluid.layers.mean (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '597257fb94d0597c404a6a5c91ab5258'))
@@ -299,7 +299,7 @@ paddle.fluid.layers.zeros (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs
 paddle.fluid.layers.reverse (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=None), ('document', '628135603692137d52bcf5a8d8d6816d'))
 paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '51a0fa1cfaf2507c00a215adacdb8a63'))
 paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '129cf426e71452fe8276d616a6dc21ae'))
-paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '23c66e5918040fcc11c8fa8c5da1b38e'))
+paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', 'b9fff4ffc8d11934cde099f4c39bf841'))
 paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', 'a45b42f21bc5a4e84b60981a3d629ab3'))
 paddle.fluid.layers.linspace (ArgSpec(args=['start', 'stop', 'num', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '3663d1148946eed4c1c34c81be586b9e'))
 paddle.fluid.layers.zeros_like (ArgSpec(args=['x', 'out'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd88a23bcdc443719b3953593f7cef14a'))

python/paddle/fluid/layers/nn.py

@@ -5200,7 +5200,7 @@ def matmul(x, y, transpose_x=False, transpose_y=False, alpha=1.0, name=None):
             will be named automatically.
 
     Returns:
-        Variable: The product Tensor variable.
+        Variable: The product Tensor (or LoDTensor) variable.
 
     Examples:
         .. code-block:: python
@@ -10200,9 +10200,9 @@ def logical_and(x, y, out=None, name=None):
 
             import paddle.fluid as fluid
             left = fluid.layers.data(
-                name='left', shape=[1], dtype='int32')
+                name='left', shape=[1], dtype='bool')
             right = fluid.layers.data(
-                name='right', shape=[1], dtype='int32')
+                name='right', shape=[1], dtype='bool')
             result = fluid.layers.logical_and(x=left, y=right)
     """
 
@@ -10229,9 +10229,9 @@ def logical_or(x, y, out=None, name=None):
 
             import paddle.fluid as fluid
             left = fluid.layers.data(
-                name='left', shape=[1], dtype='int32')
+                name='left', shape=[1], dtype='bool')
             right = fluid.layers.data(
-                name='right', shape=[1], dtype='int32')
+                name='right', shape=[1], dtype='bool')
             result = fluid.layers.logical_or(x=left, y=right)
     """
 
@@ -10258,9 +10258,9 @@ def logical_xor(x, y, out=None, name=None):
 
             import paddle.fluid as fluid
             left = fluid.layers.data(
-                name='left', shape=[1], dtype='int32')
+                name='left', shape=[1], dtype='bool')
             right = fluid.layers.data(
-                name='right', shape=[1], dtype='int32')
+                name='right', shape=[1], dtype='bool')
             result = fluid.layers.logical_xor(x=left, y=right)
     """
 
@@ -10286,7 +10286,7 @@ def logical_not(x, out=None, name=None):
 
             import paddle.fluid as fluid
             left = fluid.layers.data(
-                name='left', shape=[1], dtype='int32')
+                name='left', shape=[1], dtype='bool')
             result = fluid.layers.logical_not(x=left)
     """
 

python/paddle/fluid/layers/tensor.py

@@ -821,7 +821,7 @@ def isfinite(x):
             var = fluid.layers.data(name="data",
                                     shape=(4, 6),
                                     dtype="float32")
-            out = fluid.layers.isfinite(v)
+            out = fluid.layers.isfinite(var)
     """
     helper = LayerHelper("isfinite", **locals())
     out = helper.create_variable_for_type_inference(dtype=x.dtype)