change paddle.fluid.layers.fill_constant to paddle.full in sample codes (#27993) (#28000)

python/paddle/fluid/layers/control_flow.py

@@ -2506,21 +2506,21 @@ def case(pred_fn_pairs, default=None, name=None):
             paddle.enable_static()
 
             def fn_1():
-                return paddle.fluid.layers.fill_constant(shape=[1, 2], dtype='float32', value=1)
+                return paddle.full(shape=[1, 2], dtype='float32', fill_value=1)
 
             def fn_2():
-                return paddle.fluid.layers.fill_constant(shape=[2, 2], dtype='int32', value=2)
+                return paddle.full(shape=[2, 2], dtype='int32', fill_value=2)
 
             def fn_3():
-                return paddle.fluid.layers.fill_constant(shape=[3], dtype='int32', value=3)
+                return paddle.full(shape=[3], dtype='int32', fill_value=3)
 
             main_program = paddle.static.default_startup_program()
             startup_program = paddle.static.default_main_program()
 
             with paddle.static.program_guard(main_program, startup_program):
-                x = paddle.fluid.layers.fill_constant(shape=[1], dtype='float32', value=0.3)
-                y = paddle.fluid.layers.fill_constant(shape=[1], dtype='float32', value=0.1)
-                z = paddle.fluid.layers.fill_constant(shape=[1], dtype='float32', value=0.2)
+                x = paddle.full(shape=[1], dtype='float32', fill_value=0.3)
+                y = paddle.full(shape=[1], dtype='float32', fill_value=0.1)
+                z = paddle.full(shape=[1], dtype='float32', fill_value=0.2)
 
                 pred_1 = paddle.less_than(z, x)  # true: 0.2 < 0.3
                 pred_2 = paddle.less_than(x, y)  # false: 0.3 < 0.1
@@ -3626,19 +3626,19 @@ def switch_case(branch_index, branch_fns, default=None, name=None):
             paddle.enable_static()
 
             def fn_1():
-                return paddle.fluid.layers.fill_constant(shape=[1, 2], dtype='float32', value=1)
+                return paddle.full(shape=[1, 2], dtype='float32', fill_value=1)
 
             def fn_2():
-                return paddle.fluid.layers.fill_constant(shape=[2, 2], dtype='int32', value=2)
+                return paddle.full(shape=[2, 2], dtype='int32', fill_value=2)
 
             def fn_3():
-                return paddle.fluid.layers.fill_constant(shape=[3], dtype='int32', value=3)
+                return paddle.full(shape=[3], dtype='int32', fill_value=3)
 
             main_program = paddle.static.default_startup_program()
             startup_program = paddle.static.default_main_program()
             with paddle.static.program_guard(main_program, startup_program):
-                index_1 = paddle.fluid.layers.fill_constant(shape=[1], dtype='int32', value=1)
-                index_2 = paddle.fluid.layers.fill_constant(shape=[1], dtype='int32', value=2)
+                index_1 = paddle.full(shape=[1], dtype='int32', fill_value=1)
+                index_2 = paddle.full(shape=[1], dtype='int32', fill_value=2)
 
                 out_1 = paddle.static.nn.switch_case(
                     branch_index=index_1,

python/paddle/tensor/creation.py

@@ -312,7 +312,7 @@ def ones(shape, dtype=None, name=None):
           #  [1 1]]
           
           # shape is a Tensor
-          shape = paddle.fluid.layers.fill_constant(shape=[2], dtype='int32', value=2)
+          shape = paddle.full(shape=[2], dtype='int32', fill_value=2)
           data3 = paddle.ones(shape=shape, dtype='int32') 
           # [[1 1]
           #  [1 1]]
@@ -393,7 +393,7 @@ def zeros(shape, dtype=None, name=None):
           #  [0. 0.]]
           
           # shape is a Tensor
-          shape = paddle.fluid.layers.fill_constant(shape=[2], dtype='int32', value=2)
+          shape = paddle.full(shape=[2], dtype='int32', fill_value=2)
           data3 = paddle.zeros(shape=shape, dtype='int32') 
           # [[0 0]
           #  [0 0]]
@@ -521,18 +521,18 @@ def full(shape, fill_value, dtype=None, name=None):
           # [0]]
 
           # attr shape is a list which contains Tensor.
-          positive_2 = paddle.fluid.layers.fill_constant([1], "int32", 2)
+          positive_2 = paddle.full([1], 2, "int32")
           data3 = paddle.full(shape=[1, positive_2], dtype='float32', fill_value=1.5)
           # [[1.5 1.5]]
 
           # attr shape is a Tensor.
-          shape = paddle.fluid.layers.fill_constant([2], "int32", 2)
+          shape = paddle.full([2], 2, "int32")
           data4 = paddle.full(shape=shape, dtype='bool', fill_value=True) 
           # [[True True] 
           #  [True True]]
           
           # attr fill_value is a Tensor.
-          val = paddle.fluid.layers.fill_constant([1], "float32", 2.0)
+          val = paddle.full([1], 2.0, "float32")
           data5 = paddle.full(shape=[2,1], fill_value=val, dtype='float32')
           # [[2.0] 
           #  [2.0]]

python/paddle/tensor/math.py

@@ -170,7 +170,7 @@ def pow(x, y, name=None):
             print(res.numpy()) # [1 4 9]
             
             # example 2: y is a Tensor
-            y = paddle.fluid.layers.fill_constant(shape=[1], value=2, dtype='float32')
+            y = paddle.full(shape=[1], fill_value=2, dtype='float32')
             res = paddle.pow(x, y)
             print(res.numpy()) # [1 4 9]
 

python/paddle/tensor/random.py

@@ -431,8 +431,8 @@ def uniform(shape, dtype=None, min=-1.0, max=1.0, seed=0, name=None):
 
             # example 2:
             # attr shape is a list which contains Tensor.
-            dim_1 = paddle.fluid.layers.fill_constant([1], "int64", 2)
-            dim_2 = paddle.fluid.layers.fill_constant([1], "int32", 3)
+            dim_1 = paddle.full([1], 2, "int64")
+            dim_2 = paddle.full([1], 3, "int32")
             result_2 = paddle.tensor.random.uniform(shape=[dim_1, dim_2])
             # [[-0.9951253,   0.30757582, 0.9899647 ],
             #  [ 0.5864527,   0.6607096,  -0.8886161 ]]