[xdoctest] reformat example code with google style in No.307 (#56595)

* weight_norm_hook

* Update weight_norm_hook.py

* Update weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* xdoc

* Apply suggestions from code review

* Apply suggestions from code review

---------
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

python/paddle/distributed/entry_attr.py

@@ -22,22 +22,26 @@ class EntryAttr:
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
+            >>> paddle.enable_static()
 
-            sparse_feature_dim = 1024
-            embedding_size = 64
+            >>> sparse_feature_dim = 1024
+            >>> embedding_size = 64
 
-            entry = paddle.distributed.ProbabilityEntry(0.1)
+            >>> entry = paddle.distributed.ProbabilityEntry(0.1)
 
-            input = paddle.static.data(name='ins', shape=[1], dtype='int64')
+            >>> input = paddle.static.data(name='ins', shape=[1], dtype='int64')
 
-            emb = paddle.static.nn.sparse_embedding((
-                input=input,
-                size=[sparse_feature_dim, embedding_size],
-                is_test=False,
-                entry=entry,
-                param_attr=paddle.ParamAttr(name="SparseFeatFactors",
-                                           initializer=paddle.nn.initializer.Uniform()))
+            >>> emb = paddle.static.nn.sparse_embedding(
+            ...     input=input,
+            ...     size=[sparse_feature_dim, embedding_size],
+            ...     is_test=False,
+            ...     entry=entry,
+            ...     param_attr=paddle.ParamAttr(
+            ...         name="SparseFeatFactors",
+            ...         initializer=paddle.nn.initializer.Uniform()
+            ...     )
+            ... )
 
     """
 
@@ -59,22 +63,26 @@ class ProbabilityEntry(EntryAttr):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
+            >>> paddle.enable_static()
 
-            sparse_feature_dim = 1024
-            embedding_size = 64
+            >>> sparse_feature_dim = 1024
+            >>> embedding_size = 64
 
-            entry = paddle.distributed.ProbabilityEntry(0.1)
+            >>> entry = paddle.distributed.ProbabilityEntry(0.1)
 
-            input = paddle.static.data(name='ins', shape=[1], dtype='int64')
+            >>> input = paddle.static.data(name='ins', shape=[1], dtype='int64')
 
-            emb = paddle.static.nn.sparse_embedding((
-                input=input,
-                size=[sparse_feature_dim, embedding_size],
-                is_test=False,
-                entry=entry,
-                param_attr=paddle.ParamAttr(name="SparseFeatFactors",
-                                           initializer=paddle.nn.initializer.Uniform()))
+            >>> emb = paddle.static.nn.sparse_embedding(
+            ...     input=input,
+            ...     size=[sparse_feature_dim, embedding_size],
+            ...     is_test=False,
+            ...     entry=entry,
+            ...     param_attr=paddle.ParamAttr(
+            ...         name="SparseFeatFactors",
+            ...         initializer=paddle.nn.initializer.Uniform()
+            ...     )
+            ... )
 
 
     """
@@ -100,22 +108,26 @@ class CountFilterEntry(EntryAttr):
     Examples:
         .. code-block:: python
 
-            import paddle
+            >>> import paddle
+            >>> paddle.enable_static()
 
-            sparse_feature_dim = 1024
-            embedding_size = 64
+            >>> sparse_feature_dim = 1024
+            >>> embedding_size = 64
 
-            entry = paddle.distributed.CountFilterEntry(10)
+            >>> entry = paddle.distributed.CountFilterEntry(10)
 
-            input = paddle.static.data(name='ins', shape=[1], dtype='int64')
+            >>> input = paddle.static.data(name='ins', shape=[1], dtype='int64')
 
-            emb = paddle.static.nn.sparse_embedding((
-                input=input,
-                size=[sparse_feature_dim, embedding_size],
-                is_test=False,
-                entry=entry,
-                param_attr=paddle.ParamAttr(name="SparseFeatFactors",
-                                           initializer=paddle.nn.initializer.Uniform()))
+            >>> emb = paddle.static.nn.sparse_embedding(
+            ...     input=input,
+            ...     size=[sparse_feature_dim, embedding_size],
+            ...     is_test=False,
+            ...     entry=entry,
+            ...     param_attr=paddle.ParamAttr(
+            ...         name="SparseFeatFactors",
+            ...         initializer=paddle.nn.initializer.Uniform()
+            ...     )
+            ... )
 
     """
 
@@ -144,25 +156,28 @@ class ShowClickEntry(EntryAttr):
     Examples:
         .. code-block:: python
 
-            import paddle
-            paddle.enable_static()
+            >>> import paddle
+            >>> paddle.enable_static()
 
-            sparse_feature_dim = 1024
-            embedding_size = 64
+            >>> sparse_feature_dim = 1024
+            >>> embedding_size = 64
 
-            shows = paddle.static.data(name='show', shape=[1], dtype='int64')
-            clicks = paddle.static.data(name='click', shape=[1], dtype='int64')
-            input = paddle.static.data(name='ins', shape=[1], dtype='int64')
+            >>> shows = paddle.static.data(name='show', shape=[1], dtype='int64')
+            >>> clicks = paddle.static.data(name='click', shape=[1], dtype='int64')
+            >>> input = paddle.static.data(name='ins', shape=[1], dtype='int64')
 
-            entry = paddle.distributed.ShowClickEntry("show", "click")
+            >>> entry = paddle.distributed.ShowClickEntry("show", "click")
 
-            emb = paddle.static.nn.sparse_embedding(
-                input=input,
-                size=[sparse_feature_dim, embedding_size],
-                is_test=False,
-                entry=entry,
-                param_attr=paddle.ParamAttr(name="SparseFeatFactors",
-                                           initializer=paddle.nn.initializer.Uniform()))
+            >>> emb = paddle.static.nn.sparse_embedding(
+            ...     input=input,
+            ...     size=[sparse_feature_dim, embedding_size],
+            ...     is_test=False,
+            ...     entry=entry,
+            ...     param_attr=paddle.ParamAttr(
+            ...         name="SparseFeatFactors",
+            ...         initializer=paddle.nn.initializer.Uniform()
+            ...     )
+            ... )
 
 
     """