From 7c7cdf082f7dba6ef16c074e1fb1218489fb7823 Mon Sep 17 00:00:00 2001
From: Chen Weihang <chenweihang@baidu.com>
Date: Mon, 23 Nov 2020 19:47:39 +0800
Subject: [PATCH] remove fluid & variable in program (#28966)

---
 python/paddle/fluid/framework.py | 30 ++++++++++++++++++------------
 1 file changed, 18 insertions(+), 12 deletions(-)

diff --git a/python/paddle/fluid/framework.py b/python/paddle/fluid/framework.py
index a0d03111aa..49c5f9f5b8 100644
--- a/python/paddle/fluid/framework.py
+++ b/python/paddle/fluid/framework.py
@@ -1297,9 +1297,12 @@ class Variable(object):
         Examples:
             .. code-block:: python
 
-                import paddle.fluid as fluid
+                import paddle
+                import paddle.static as static
 
-                cur_program = fluid.Program()
+                paddle.enable_static()
+
+                cur_program = static.Program()
                 cur_block = cur_program.current_block()
                 new_variable = cur_block.create_var(name="X",
                                                     shape=[-1, 23, 48],
@@ -1307,10 +1310,10 @@ class Variable(object):
                 print(new_variable._to_readable_code())
         """
         if self.type == core.VarDesc.VarType.SELECTED_ROWS or self.type == core.VarDesc.VarType.LOD_TENSOR:
-            var_str = "{name} : fluid.{type}.shape{shape}.astype({dtype})".\
+            var_str = "{name} : paddle.{type}.shape{shape}.astype({dtype})".\
                 format(i="{", e="}", name=self.name, type=self.type, shape=self.shape, dtype=self.dtype)
         else:
-            var_str = "{name} : fluid.{type})".\
+            var_str = "{name} : paddle.{type})".\
                 format(i="{", e="}", name=self.name, type=self.type)
 
         if type(self) == Parameter:
@@ -4270,9 +4273,12 @@ class Program(object):
         Examples:
             .. code-block:: python
 
-            import paddle.fluid as fluid
+            import paddle
+            import paddle.static as static
 
-            cur_program = fluid.Program()
+            paddle.enable_static()
+
+            cur_program = static.Program()
             cur_block = cur_program.current_block()
             new_var = cur_block.create_var(name="X",
                                            shape=[-1, 23, 48],
@@ -4470,7 +4476,7 @@ class Program(object):
                     # Due to parameter sharing usage for train and test, so we need to use startup program of train
                     # instead of using test startup program, while nothing is in test's startup program
 
-                    # In Paddle Fluid we will share weights by using the same Variable name. In train and test program
+                    # In Paddle we will share weights by using the same Tensor name. In train and test program
                     # all parameters will have the same name and this can make train and test program sharing parameters,
                     # that's why we need to use startup program of train. And for startup program of test, it has nothing,
                     # since it is a new program.
@@ -4823,7 +4829,7 @@ class Program(object):
                 ## 0
                 ## the default random seed is 0
 
-                # Here we need to set random seed before we use fluid.layers.dropout
+                # Here we need to set random seed before we use paddle.nn.functional.dropout
                 prog.random_seed = 1
                 z_var = F.dropout(x_var, 0.7)
 
@@ -5098,8 +5104,8 @@ class Program(object):
                 for var in prog.list_vars():
                     print(var)
                 
-                # var img : fluid.VarType.LOD_TENSOR.shape(-1, 1, 28, 28).astype(VarType.FP32)
-                # var label : fluid.VarType.LOD_TENSOR.shape(-1, 1).astype(VarType.INT64)
+                # var img : paddle.VarType.LOD_TENSOR.shape(-1, 1, 28, 28).astype(VarType.FP32)
+                # var label : paddle.VarType.LOD_TENSOR.shape(-1, 1).astype(VarType.INT64)
         """
         for each_block in self.blocks:
             for each_var in list(each_block.vars.values()):
@@ -5132,8 +5138,8 @@ class Program(object):
                 # Here will print all parameters in current program, in this example,
                 # the result is like:
                 #
-                # persist trainable param fc_0.w_0 : fluid.VarType.LOD_TENSOR.shape(13, 10).astype(VarType.FP32)
-                # persist trainable param fc_0.b_0 : fluid.VarType.LOD_TENSOR.shape(10,).astype(VarType.FP32)
+                # persist trainable param fc_0.w_0 : paddle.VarType.LOD_TENSOR.shape(13, 10).astype(VarType.FP32)
+                # persist trainable param fc_0.b_0 : paddle.VarType.LOD_TENSOR.shape(10,).astype(VarType.FP32)
                 #
                 # Here print(param) will print out all the properties of a parameter,
                 # including name, type and persistable, you can access to specific
-- 
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