未验证 提交 546b1c1d 编写于 作者: H Huihuang Zheng 提交者: GitHub

Fix paddle.jit.dy2static.data_layer_not_check 2.0 API Doc (#28461)

Remove "fluid", "variable" in 2.0 API doc
上级 8f664a5c
......@@ -29,19 +29,19 @@ __all__ = [
def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
"""
This function creates a variable on the global block. Unlike
`paddle.fluid.data` , the created variable doesn't check the dtype and the
shape of feed data because dygraph input data can be variable-length.
This API is used in translating dygraph into static graph.
This function creates a Tensor on the global block. The created Tensor
doesn't check the dtype and the shape of feed data because dygraph input
data can be various-length. This API is used in translating dygraph into
static graph.
Note:
The default :code:`stop_gradient` attribute of the Variable created by
The default :code:`stop_gradient` attribute of the Tensor created by
this API is true, which means the gradient won't be passed backward
through the data Varaible. Set :code:`var.stop_gradient = False` If
through the data Tensor. Set :code:`var.stop_gradient = False` If
user would like to pass backward gradient.
Args:
name (str): The name/alias of the variable, see :ref:`api_guide_Name`
name (str): The name/alias of the Tensor, 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
......@@ -54,7 +54,7 @@ def data_layer_not_check(name, shape, dtype='float32', lod_level=0):
use LoD level, see :ref:`user_guide_lod_tensor` . Default: 0
Returns:
Variable: The global variable that gives access to the data.
Tensor: The global Tensor that gives access to the data.
"""
helper = LayerHelper('data', **locals())
shape = list(shape)
......@@ -87,7 +87,8 @@ def create_static_variable_gast_node(name):
def create_fill_constant_node(name, value):
func_code = "{} = paddle.fluid.layers.fill_constant(shape=[1], ".format(name)
func_code = "{} = paddle.fluid.layers.fill_constant(shape=[1], ".format(
name)
if isinstance(value, bool):
func_code += "dtype='bool', value={})".format(value)
return gast.parse(func_code).body[0]
......@@ -110,7 +111,7 @@ def create_fill_constant_node(name, value):
def to_static_variable(x):
'''
Translate a Python variable to PaddlePaddle static graph variable
Translate a Python Tensor to PaddlePaddle static graph Tensor
'''
if isinstance(x, bool):
return fill_constant(shape=[1], dtype='bool', value=x)
......
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