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d2f9e193
编写于
4月 03, 2018
作者:
G
Guo Sheng
提交者:
GitHub
4月 03, 2018
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差异文件
Merge pull request #9582 from guoshengCS/add-python-pad
Add python wrapper for pad_op
上级
f1217451
3c370ee0
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2
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2 changed file
with
67 addition
and
0 deletion
+67
-0
doc/fluid/api/layers.rst
doc/fluid/api/layers.rst
+6
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+61
-0
未找到文件。
doc/fluid/api/layers.rst
浏览文件 @
d2f9e193
...
...
@@ -494,6 +494,12 @@ reshape
.. autofunction:: paddle.fluid.layers.reshape
:noindex:
pad
---
.. autofunction:: paddle.fluid.layers.pad
:noindex:
scale
-----
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
d2f9e193
...
...
@@ -76,6 +76,7 @@ __all__ = [
'reshape'
,
'lod_reset'
,
'lrn'
,
'pad'
,
]
...
...
@@ -3379,6 +3380,7 @@ def reshape(x, shape, actual_shape=None, act=None, inplace=True, name=None):
Examples:
.. code-block:: python
data = fluid.layers.data(
name='data', shape=[2, 4, 6], dtype='float32')
reshaped = fluid.layers.reshape(
...
...
@@ -3580,3 +3582,62 @@ def lrn(input, n=5, k=1.0, alpha=1e-4, beta=0.75, name=None):
"beta"
:
beta
})
return
lrn_out
def
pad
(
x
,
paddings
,
pad_value
=
0.
,
name
=
None
):
"""
Pads a tensor with a constant value given by :attr:`pad_value`, and the
padded width is specified by :attr:`paddings`.
Specifically, the number of values padded before the contents of :attr:`x`
in dimension :attr:`i` is indicated by :attr:`paddings[i]`, and the number
of values padded after the contents of :attr:`x` in dimension :attr:`i` is
indicated by :attr:`paddings[i+1]`.
See below for an example.
.. code-block:: text
Given:
x = [[1, 2], [3, 4]]
paddings = [0, 1, 1, 2]
pad_value = 0
Return:
out = [[0, 1, 2, 0, 0]
[0, 3, 4, 0, 0]
[0, 0, 0, 0, 0]]
Args:
x (Variable): The input tensor variable.
paddings (list): A list of integers. Its elements specify the padded
width before and after for each dimension in turn.
The length of :attr:paddings must be
:math:`rank(x)
\\
times 2`.
pad_value (float): The constant value used to pad.
name(str|None): A name for this layer(optional). If set None, the layer
will be named automatically.
Returns:
Variable: The padded tensor variable.
Examples:
.. code-block:: python
# x is a rank 2 tensor variable.
out = fluid.layers.pad(
x=x, paddings=[0, 1, 1, 2], pad_value=0.)
"""
helper
=
LayerHelper
(
'pad'
,
input
=
x
,
**
locals
())
dtype
=
helper
.
input_dtype
()
out
=
helper
.
create_tmp_variable
(
dtype
)
helper
.
append_op
(
type
=
'pad'
,
inputs
=
{
'X'
:
x
},
outputs
=
{
'Out'
:
out
},
attrs
=
{
'paddings'
:
paddings
,
'pad_value'
:
float
(
pad_value
)})
return
out
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