change paddle.fluid.data to paddle.static.data in sample code (#27992)

python/paddle/fluid/framework.py

@@ -543,7 +543,7 @@ def name_scope(prefix=None):
           import paddle
           paddle.enable_static()
           with paddle.static.name_scope("s1"):
-             a = paddle.fluid.data(name='data', shape=[None, 1], dtype='int32')
+             a = paddle.static.data(name='data', shape=[None, 1], dtype='int32')
              b = a + 1
              with paddle.static.name_scope("s2"):
                 c = b * 1
@@ -5357,8 +5357,8 @@ def default_startup_program():
             main_program = paddle.static.Program()
             startup_program = paddle.static.Program()
             with paddle.static.program_guard(main_program=main_program, startup_program=startup_program):
-                x = paddle.fluid.data(name="x", shape=[-1, 784], dtype='float32')
-                y = paddle.fluid.data(name="y", shape=[-1, 1], dtype='int32')
+                x = paddle.static.data(name="x", shape=[-1, 784], dtype='float32')
+                y = paddle.static.data(name="y", shape=[-1, 1], dtype='int32')
                 z = paddle.static.nn.fc(name="fc", x=x, size=10, activation="relu")
 
                 print("main program is: {}".format(paddle.static.default_main_program()))
@@ -5391,8 +5391,8 @@ def default_main_program():
             
             paddle.enable_static()
             # Sample Network:
-            data = paddle.fluid.data(name='image', shape=[None, 3, 224, 224], dtype='float32')
-            label = paddle.fluid.data(name='label', shape=[None, 1], dtype='int64')
+            data = paddle.static.data(name='image', shape=[None, 3, 224, 224], dtype='float32')
+            label = paddle.static.data(name='label', shape=[None, 1], dtype='int64')
             
             conv1 = paddle.static.nn.conv2d(data, 4, 5, 1, act=None)
             bn1 = paddle.static.nn.batch_norm(conv1, act='relu')

python/paddle/nn/functional/input.py

@@ -74,7 +74,7 @@ def one_hot(x, num_classes, name=None):
 
             import paddle
             # Correspond to the first example above, where label.shape is 4 and one_hot_label.shape is [4, 4].
-            label = paddle.fluid.data(name="label", shape=[4, 1], dtype="int64")
+            label = paddle.static.data(name="label", shape=[4, 1], dtype="int64")
             # label.shape = [4]
             # label.data = [1, 1, 3, 0]
             one_hot_label = paddle.nn.functional.one_hot(x=label, num_classes=4)
@@ -183,7 +183,7 @@ def embedding(x, weight, padding_idx=None, sparse=False, name=None):
             weight = prog.global_block().create_parameter(
                     (128, 100), dtype="float32", default_initializer=Constant(1.0))
 
-            label = paddle.fluid.data(
+            label = paddle.static.data(
                     name="label",
                     shape=[4],
                     append_batch_size=False,