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体验新版 GitCode,发现更多精彩内容 >>
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c2842377
编写于
10月 15, 2018
作者:
Q
Qiyang Min
提交者:
GitHub
10月 15, 2018
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Merge pull request #13837 from velconia/add_pyramid_dnn_support
Add margin_rank_loss_op to python
上级
2c9839c8
4a22979b
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
51 addition
and
0 deletion
+51
-0
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-0
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+50
-0
未找到文件。
paddle/fluid/API.spec
浏览文件 @
c2842377
...
...
@@ -127,6 +127,7 @@ paddle.fluid.layers.relu ArgSpec(args=['x', 'name'], varargs=None, keywords=None
paddle.fluid.layers.log ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.crop ArgSpec(args=['x', 'shape', 'offsets', 'name'], varargs=None, keywords=None, defaults=(None, None, None))
paddle.fluid.layers.rank_loss ArgSpec(args=['label', 'left', 'right', 'name'], varargs=None, keywords=None, defaults=(None,))
paddle.fluid.layers.margin_rank_loss ArgSpec(args=['label', 'left', 'right', 'margin', 'name'], varargs=None, keywords=None, defaults=(0.1, None))
paddle.fluid.layers.elu ArgSpec(args=['x', 'alpha', 'name'], varargs=None, keywords=None, defaults=(1.0, None))
paddle.fluid.layers.relu6 ArgSpec(args=['x', 'threshold', 'name'], varargs=None, keywords=None, defaults=(6.0, None))
paddle.fluid.layers.pow ArgSpec(args=['x', 'factor', 'name'], varargs=None, keywords=None, defaults=(1.0, None))
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
c2842377
...
...
@@ -107,6 +107,7 @@ __all__ = [
'log'
,
'crop'
,
'rank_loss'
,
'margin_rank_loss'
,
'elu'
,
'relu6'
,
'pow'
,
...
...
@@ -5827,6 +5828,54 @@ def rank_loss(label, left, right, name=None):
return
out
def
margin_rank_loss
(
label
,
left
,
right
,
margin
=
0.1
,
name
=
None
):
"""
Margin Ranking Loss Layer for ranking problem,
which compares left score and right score passed in.
The ranking loss can be defined as following equation:
.. math::
rank\_loss &= max(0, -label * (left - right) + margin)
Args:
label (Variable): Indicates whether the left is ranked higher than the right or not.
left (Variable): Ranking score for left.
right (Variable): Ranking score for right.
margin (float): Indicates the given margin.
name (str|None): A name for this layer (optional). If set None, the layer
will be named automatically.
Returns:
Variable: The ranking loss.
Raises:
ValueError: Any of label, left, and right is not a Variable.
Examples:
.. code-block:: python
label = fluid.layers.data(name="label", shape=[4, 1], dtype="float32")
left = fluid.layers.data(name="left", shape=[4, 1], dtype="float32")
right = fluid.layers.data(name="right", shape=[4, 1], dtype="float32")
out = fluid.layers.margin_rank_loss(label, left, right)
"""
helper
=
LayerHelper
(
'margin_rank_loss'
,
**
locals
())
if
not
isinstance
(
label
,
Variable
):
raise
ValueError
(
"The label should be a Variable."
)
if
not
isinstance
(
left
,
Variable
):
raise
ValueError
(
"The left should be a Variable."
)
if
not
isinstance
(
right
,
Variable
):
raise
ValueError
(
"The right should be a Variable."
)
out
=
helper
.
create_tmp_variable
(
left
.
dtype
)
act
=
helper
.
create_tmp_variable
(
left
.
dtype
)
helper
.
append_op
(
type
=
'margin_rank_loss'
,
inputs
=
{
"Label"
:
label
,
"X1"
:
left
,
"X2"
:
right
},
outputs
=
{
'Out'
:
out
,
'Activated'
:
act
},
attrs
=
{
'margin'
:
margin
})
return
out
def
pad2d
(
input
,
paddings
=
[
0
,
0
,
0
,
0
],
mode
=
'constant'
,
...
...
@@ -6290,6 +6339,7 @@ def sequence_enumerate(input, win_size, pad_value=0, name=None):
outputs
=
{
'Out'
:
out
},
attrs
=
{
'win_size'
:
win_size
,
'pad_value'
:
pad_value
})
return
out
def
sequence_mask
(
x
,
maxlen
=
None
,
dtype
=
'int64'
,
name
=
None
):
...
...
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