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体验新版 GitCode,发现更多精彩内容 >>
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a7cae62b
编写于
10月 12, 2018
作者:
M
minqiyang
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+11
-10
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+11
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未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
a7cae62b
...
...
@@ -5830,24 +5830,25 @@ def rank_loss(label, left, right, name=None):
def
margin_rank_loss
(
label
,
left
,
right
,
margin
=
0.1
,
name
=
None
):
"""
Margin Rank loss layer for rank problem, which comparing left value and right value be passed in.
The rank loss can be defined as below equation:
Margin Ranking Loss Layer for ranking problem,
which compare 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): Indicat
s whether left higher than (right + margin)
or not.
left (Variable): rank score for left.
right (Variable): rank score for right.
margin (float): Indicates the margin to be added to right
label (Variable): Indicat
es whether the left is ranked higher than the right
or not.
left (Variable): rank
ing
score for left.
right (Variable): rank
ing
score for right.
margin (float): Indicates the
given
margin to be added to right
name (str|None): A name for this layer (optional). If set None, the layer
will be named automatically.
Returns:
list: The
value of rank
loss.
list: The
Variable of ranking
loss.
Raises:
ValueError: Any of label, left, and right is not a
v
ariable.
ValueError: Any of label, left, and right is not a
V
ariable.
Examples:
.. code-block:: python
label = fluid.layers.data(name="label", shape=[4, 1], dtype="float32")
...
...
@@ -5862,8 +5863,8 @@ def margin_rank_loss(label, left, right, margin=0.1, name=None):
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
(
"float32"
)
act
=
helper
.
create_tmp_variable
(
"float32"
)
out
=
helper
.
create_tmp_variable
(
left
.
dtype
)
act
=
helper
.
create_tmp_variable
(
left
.
dtype
)
helper
.
append_op
(
type
=
'margin_rank_loss'
,
inputs
=
{
"Label"
:
label
,
...
...
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