未验证 提交 fbdf7791 编写于 作者: L liym27 提交者: GitHub

fix example code of api data/switch_case to keep cn-doc and en-doc consistent (#23670)

上级 d265b16a
......@@ -40,7 +40,7 @@ def data(name, shape, dtype='float32', lod_level=0):
`paddle.fluid.data` checks the shape and the dtype of data fed by
Executor or ParallelExecutor during run time.
To feed variable size inputs, users can set -1 on the variable
To feed variable size inputs, users can set None or -1 on the variable
dimension when using :code:`paddle.fluid.data`, or feed variable size
inputs directly to :code:`paddle.fluid.layers.data` and PaddlePaddle
will fit the size accordingly.
......@@ -54,14 +54,14 @@ def data(name, shape, dtype='float32', lod_level=0):
name (str): The name/alias of the variable, see :ref:`api_guide_Name`
for more details.
shape (list|tuple): List|Tuple of integers declaring the shape. You can
set "None" at a dimension to indicate the dimension can be of any
size. For example, it is useful to set changeable batch size as "None"
set "None" or -1 at a dimension to indicate the dimension can be of any
size. For example, it is useful to set changeable batch size as "None" or -1.
dtype (np.dtype|VarType|str, optional): The type of the data. Supported
dtype: bool, float16, float32, float64, int8, int16, int32, int64,
uint8. Default: float32
uint8. Default: float32.
lod_level (int, optional): The LoD level of the LoDTensor. Usually users
don't have to set this value. For more details about when and how to
use LoD level, see :ref:`user_guide_lod_tensor` . Default: 0
use LoD level, see :ref:`user_guide_lod_tensor` . Default: 0.
Returns:
Variable: The global variable that gives access to the data.
......@@ -76,10 +76,10 @@ def data(name, shape, dtype='float32', lod_level=0):
# User can only feed data of the same shape to x
x = fluid.data(name='x', shape=[3, 2, 1], dtype='float32')
# Creates a variable with changeable batch size.
# Creates a variable with changeable batch size -1.
# Users can feed data of any batch size into y,
# but size of each data sample has to be [2, 1]
y = fluid.data(name='y', shape=[None, 2, 1], dtype='float32')
y = fluid.data(name='y', shape=[-1, 2, 1], dtype='float32')
z = x + y
......
......@@ -3372,8 +3372,7 @@ def switch_case(branch_index, branch_fns, default=None, name=None):
branch_fns=[(0, fn_1), (4, fn_2), (7, fn_3)])
exe = fluid.Executor(fluid.CPUPlace())
res_1, res_2, res_3 = exe.run(main_program,
fetch_list=[out_1, out_2, out_3])
res_1, res_2, res_3 = exe.run(main_program, fetch_list=[out_1, out_2, out_3])
print(res_1) # [[1. 1.]]
print(res_2) # [[2 2] [2 2]]
print(res_3) # [3 3 3]
......
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