Refine cond API English Doc for 2.0RC (#27708)

As the title

python/paddle/fluid/layers/control_flow.py

@@ -2297,11 +2297,6 @@ def copy_var_to_parent_block(var, layer_helper):
 
 def cond(pred, true_fn=None, false_fn=None, name=None):
     """
-    :api_attr: Static Graph
-	:alias_main: paddle.nn.cond
-	:alias: paddle.nn.cond,paddle.nn.control_flow.cond
-	:old_api: paddle.fluid.layers.cond
-    
     This API returns ``true_fn()`` if the predicate ``pred`` is true else
     ``false_fn()`` . Users could also set ``true_fn`` or ``false_fn`` to
     ``None`` if do nothing and this API will treat the callable simply returns
@@ -2323,17 +2318,18 @@ def cond(pred, true_fn=None, false_fn=None, name=None):
         semantics. For example:
 
         .. code-block:: python
-        
-            import paddle.fluid as fluid
-            a = fluid.data(name='a', shape=[-1, 1], dtype='float32')
-            b = fluid.data(name='b', shape=[-1, 1], dtype='float32')
+
+            import paddle
+
+            a = paddle.zeros((1, 1))
+            b = paddle.zeros((1, 1))
             c = a * b
-            out = fluid.layers.cond(a < b, lambda: a + c, lambda: b * b)
+            out = paddle.nn.cond(a < b, lambda: a + c, lambda: b * b)
 
         No matter whether ``a < b`` , ``c = a * b`` will run.
 
     Args:
-        pred(Variable): A boolean tensor whose numel should be 1. The boolean
+        pred(Tensor): A boolean tensor whose numel should be 1. The boolean
             value determines whether to return the result of ``true_fn`` or
             ``false_fn`` .
         true_fn(callable, optional): A callable to be performed if ``pred`` is
@@ -2345,7 +2341,7 @@ def cond(pred, true_fn=None, false_fn=None, name=None):
              refer to :ref:`api_guide_Name` .
 
     Returns:
-        Variable|list(Variable)|tuple(Variable): returns ``true_fn()`` if the
+        Tensor|list(Tensor)|tuple(Tensor): returns ``true_fn()`` if the
         predicate ``pred`` is true else ``false_fn()`` .
 
     Raises:
@@ -2356,10 +2352,7 @@ def cond(pred, true_fn=None, false_fn=None, name=None):
     Examples:
         .. code-block:: python
 
-            import paddle.fluid as fluid
-            import paddle.fluid.layers as layers
-            from paddle.fluid.executor import Executor
-            from paddle.fluid.framework import Program, program_guard
+            import paddle
 
             #
             # pseudocode:
@@ -2369,32 +2362,28 @@ def cond(pred, true_fn=None, false_fn=None, name=None):
             #     return 3, 2
             #
 
+
             def true_func():
-                return layers.fill_constant(
-                    shape=[1, 2], dtype='int32', value=1), layers.fill_constant(
-                        shape=[2, 3], dtype='bool', value=True)
+                return paddle.fill_constant(shape=[1, 2], dtype='int32',
+                                            value=1), paddle.fill_constant(shape=[2, 3],
+                                                                           dtype='bool',
+                                                                           value=True)
+
 
             def false_func():
-                return layers.fill_constant(
-                    shape=[3, 4], dtype='float32', value=3), layers.fill_constant(
-                        shape=[4, 5], dtype='int64', value=2)
-
-            main_program = Program()
-            startup_program = Program()
-            with program_guard(main_program, startup_program):
-                x = layers.fill_constant(shape=[1], dtype='float32', value=0.1)
-                y = layers.fill_constant(shape=[1], dtype='float32', value=0.23)
-                pred = layers.less_than(x, y)            
-                out = layers.cond(pred, true_func, false_func)
-                # out is a tuple containing 2 tensors
-
-            place = fluid.CUDAPlace(0) if fluid.core.is_compiled_with_cuda(
-            ) else fluid.CPUPlace()
-            exe = fluid.Executor(place)
-            ret = exe.run(main_program, fetch_list=out)
+                return paddle.fill_constant(shape=[3, 4], dtype='float32',
+                                            value=3), paddle.fill_constant(shape=[4, 5],
+                                                                           dtype='int64',
+                                                                           value=2)
+
+            x = paddle.fill_constant(shape=[1], dtype='float32', value=0.1)
+            y = paddle.fill_constant(shape=[1], dtype='float32', value=0.23)
+            pred = paddle.less_than(x=x, y=y, name=None)
+            ret = paddle.nn.cond(pred, true_func, false_func)
+            # ret is a tuple containing 2 tensors
             # ret[0] = [[1 1]]
             # ret[1] = [[ True  True  True]
-            #           [ True  True  True]]
+            #           [ True  True  True]]            
 
     """
     if in_dygraph_mode():