fixed imperative module in doc example code (#26149)

* fixed imperative module in doc example code

* fixed static module

* solve conflict

python/paddle/fluid/tests/unittests/test_addmm_op.py

@@ -240,13 +240,13 @@ class TestAddMMAPI(unittest.TestCase):
         data_y = np.ones((2, 2)).astype(np.float32)
         data_input = np.ones((2, 2)).astype(np.float32)
 
-        paddle.enable_imperative()
+        paddle.disable_static()
 
         def test_error1():
             data_x_wrong = np.ones((2, 3)).astype(np.float32)
-            x = paddle.imperative.to_variable(data_x_wrong)
-            y = paddle.imperative.to_variable(data_y)
-            input = paddle.imperative.to_variable(data_input)
+            x = paddle.to_variable(data_x_wrong)
+            y = paddle.to_variable(data_y)
+            input = paddle.to_variable(data_input)
             out = paddle.tensor.addmm( input=input, x=x, y=y, beta=0.5, alpha=5.0 )
         self.assertRaises(ValueError, test_error1)
 '''

python/paddle/tensor/creation.py

@@ -561,9 +561,9 @@ def tril(x, diagonal=0, name=None):
             #        [ 5,  6,  7,  8],
             #        [ 9, 10, 11, 12]])
 
-            paddle.enable_imperative()
+            paddle.disable_static()
 
-            x = paddle.imperative.to_variable(data)
+            x = paddle.to_variable(data)
             
             tril1 = paddle.tensor.tril(x)
             # array([[ 1,  0,  0,  0],
@@ -632,10 +632,10 @@ def triu(x, diagonal=0, name=None):
             #        [ 5,  6,  7,  8],
             #        [ 9, 10, 11, 12]])
 
-            paddle.enable_imperative()
+            paddle.disable_static()
 
             # example 1, default diagonal
-            x = paddle.imperative.to_variable(data)
+            x = paddle.to_variable(data)
             triu1 = paddle.tensor.triu(x)
             # array([[ 1,  2,  3,  4],
             #        [ 0,  6,  7,  8],

python/paddle/tensor/linalg.py

@@ -735,10 +735,10 @@ def bmm(x, y, name=None):
         input1 = np.array([[[1.0, 1.0, 1.0],[2.0, 2.0, 2.0]],[[3.0, 3.0, 3.0],[4.0, 4.0, 4.0]]])
         input2 = np.array([[[1.0, 1.0],[2.0, 2.0],[3.0, 3.0]],[[4.0, 4.0],[5.0, 5.0],[6.0, 6.0]]])
 
-        paddle.enable_imperative()
+        paddle.disable_static()
         
-        x = paddle.imperative.to_variable(input1)
-        y = paddle.imperative.to_variable(input2)
+        x = paddle.to_variable(input1)
+        y = paddle.to_variable(input2)
         out = paddle.bmm(x, y)
         #output size: (2, 2, 2)
         #output value:

python/paddle/tensor/manipulation.py

@@ -457,10 +457,10 @@ def stack(x, axis=0, name=None):
             data2 = np.array([[3.0, 4.0]])
             data3 = np.array([[5.0, 6.0]])
 
-            paddle.enable_imperative()
-            x1 = paddle.imperative.to_variable(data1)
-            x2 = paddle.imperative.to_variable(data2)
-            x3 = paddle.imperative.to_variable(data3)
+            paddle.disable_static()
+            x1 = paddle.to_variable(data1)
+            x2 = paddle.to_variable(data2)
+            x3 = paddle.to_variable(data3)
 
             out = paddle.stack([x1, x2, x3], axis=0)
             print(out.shape)  # [3, 1, 2]
@@ -637,7 +637,7 @@ def unsqueeze(x, axis, name=None):
 
             import paddle
 
-            paddle.enable_imperative()
+            paddle.disable_static()
             x = paddle.rand([5, 10])
             print(x.shape)  # [5, 10]
             

python/paddle/tensor/math.py

@@ -883,11 +883,11 @@ def addmm(input, x, y, beta=1.0, alpha=1.0, name=None):
             data_y = np.ones((2, 2)).astype(np.float32)
             data_input = np.ones((2, 2)).astype(np.float32)
 
-            paddle.enable_imperative()
+            paddle.disable_static()
 
-            x = paddle.imperative.to_variable(data_x)
-            y = paddle.imperative.to_variable(data_y)
-            input = paddle.imperative.to_variable(data_input)
+            x = paddle.to_variable(data_x)
+            y = paddle.to_variable(data_y)
+            input = paddle.to_variable(data_input)
 
             out = paddle.tensor.addmm( input=input, x=x, y=y, beta=0.5, alpha=5.0 )
 
@@ -1561,10 +1561,10 @@ def cumsum(x, axis=None, dtype=None, name=None):
         .. code-block:: python
             
             import paddle
-            from paddle.imperative import to_variable
+            from paddle import to_variable
             import numpy as np
 
-            paddle.enable_imperative()
+            paddle.disable_static()
             data_np = np.arange(12).reshape(3, 4)
             data = to_variable(data_np)