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61d98f27
编写于
11月 30, 2017
作者:
Y
Yibing Liu
提交者:
GitHub
11月 30, 2017
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差异文件
Merge pull request #6058 from kuke/refine_rank_loss_op
Revise comments in rank_loss_op
上级
e1b8c27a
9907350d
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
25 addition
and
16 deletion
+25
-16
paddle/operators/rank_loss_op.cc
paddle/operators/rank_loss_op.cc
+23
-14
paddle/operators/rank_loss_op.cu
paddle/operators/rank_loss_op.cu
+1
-1
paddle/operators/rank_loss_op.h
paddle/operators/rank_loss_op.h
+1
-1
未找到文件。
paddle/operators/rank_loss_op.cc
浏览文件 @
61d98f27
...
@@ -4,7 +4,7 @@
...
@@ -4,7 +4,7 @@
you may not use this file except in compliance with the License.
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
distributed under the License is distributed on an "AS IS" BASIS,
...
@@ -35,9 +35,10 @@ class RankLossOp : public framework::OperatorWithKernel {
...
@@ -35,9 +35,10 @@ class RankLossOp : public framework::OperatorWithKernel {
auto
right_dims
=
ctx
->
GetInputDim
(
"Right"
);
auto
right_dims
=
ctx
->
GetInputDim
(
"Right"
);
PADDLE_ENFORCE
((
label_dims
==
left_dims
)
&&
(
left_dims
==
right_dims
),
PADDLE_ENFORCE
((
label_dims
==
left_dims
)
&&
(
left_dims
==
right_dims
),
"All inputs must have the same size"
);
"All inputs must have the same size."
);
PADDLE_ENFORCE
((
label_dims
.
size
()
==
2
)
&&
(
label_dims
[
1
]
==
1
),
PADDLE_ENFORCE
(
"All inputs must be row vector with size batch_size x 1."
);
(
label_dims
.
size
()
==
2
)
&&
(
label_dims
[
1
]
==
1
),
"All inputs must be 2-D tensors with shape [batch_size x 1]."
);
ctx
->
SetOutputDim
(
"Out"
,
label_dims
);
ctx
->
SetOutputDim
(
"Out"
,
label_dims
);
}
}
};
};
...
@@ -48,10 +49,17 @@ class RankLossOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -48,10 +49,17 @@ class RankLossOpMaker : public framework::OpProtoAndCheckerMaker {
framework
::
OpAttrChecker
*
op_checker
)
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"Label"
,
AddInput
(
"Label"
,
"The label indicating A ranked higher than B or not, row vector."
);
"(2-D Tensor with shape [batch_size x 1]) "
AddInput
(
"Left"
,
"The output of RankNet for doc A, vector."
);
"The label indicating A ranked higher than B or not."
);
AddInput
(
"Right"
,
"The output of RankNet for doc B, vetor."
);
AddInput
(
"Left"
,
AddOutput
(
"Out"
,
"The output loss of RankLoss operator, vector."
);
"(2-D Tensor with shape [batch_size x 1]) "
"The output of RankNet for doc A."
);
AddInput
(
"Right"
,
"(2-D Tensor with shape [batch_size x 1]) "
"The output of RankNet for doc B."
);
AddOutput
(
"Out"
,
"(2-D Tensor with shape [batch_size x 1]) "
"The output loss of RankLoss operator."
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
RankLoss Operator.
RankLoss Operator.
...
@@ -65,16 +73,17 @@ P = {0, 1} or {0, 0.5, 1}, where 0.5 means no information about the rank of
...
@@ -65,16 +73,17 @@ P = {0, 1} or {0, 0.5, 1}, where 0.5 means no information about the rank of
the input pair.
the input pair.
The RankLoss operator takes three inputs: Left (o_i), Right (o_j) and Label
The RankLoss operator takes three inputs: Left (o_i), Right (o_j) and Label
(P_{i,j}), which represent the output of RankNet for the two docs and the label,
(P_{i,j}), which represent the output score of RankNet for the two docs and
respectively, and yields the rank loss C_{i,j} using the following equation:
the label respectively, and yields the rank loss C_{i,j} using the following
equation:
\f
$$
$$
C_{i,j} = -\tilde{P_{ij}} * o_{i,j} + log(1 + e^{o_{i,j}}) \\
C_{i,j} = -\tilde{P_{ij}} * o_{i,j} +
\
log(1 + e^{o_{i,j}}) \\
o_{i,j} = o_i - o_j \\
o_{i,j} = o_i - o_j \\
\tilde{P_{i,j}} = \left \{0, 0.5, 1 \right \} \ or \ \left \{0, 1 \right \}
\tilde{P_{i,j}} = \left \{0, 0.5, 1 \right \} \ or \ \left \{0, 1 \right \}
\f
$$
$$
The operator can take
inputs of one sample or in batch
.
The operator can take
batch inputs with size batch_size (batch_size >= 1)
.
)DOC"
);
)DOC"
);
}
}
...
...
paddle/operators/rank_loss_op.cu
浏览文件 @
61d98f27
...
@@ -4,7 +4,7 @@
...
@@ -4,7 +4,7 @@
you may not use this file except in compliance with the License.
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
distributed under the License is distributed on an "AS IS" BASIS,
...
...
paddle/operators/rank_loss_op.h
浏览文件 @
61d98f27
...
@@ -4,7 +4,7 @@
...
@@ -4,7 +4,7 @@
you may not use this file except in compliance with the License.
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
distributed under the License is distributed on an "AS IS" BASIS,
...
...
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