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399a5eec
编写于
7年前
作者:
T
typhoonzero
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
auc_op
上级
f4e31347
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
44 addition
and
35 deletion
+44
-35
paddle/operators/auc_op.cc
paddle/operators/auc_op.cc
+18
-16
paddle/operators/auc_op.h
paddle/operators/auc_op.h
+26
-19
未找到文件。
paddle/operators/auc_op.cc
浏览文件 @
399a5eec
...
...
@@ -28,15 +28,12 @@ class AucOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
"Label"
),
"Input of Inference must be initialized."
);
auto
*
inference
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Inference"
);
auto
*
inference_prob
=
ctx
.
Input
<
framework
::
Tensor
>
(
"InferenceProb"
);
auto
*
label
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Label"
);
PADDLE_ENFORCE_EQ
(
label
->
dims
().
size
(),
1
,
"label must be a vector"
);
PADDLE_ENFORCE_EQ
(
inference
->
dims
()[
0
],
label
->
dims
()[
0
],
"inference size must be the same as label size"
);
PADDLE_ENFORCE_EQ
(
inference
->
dims
(),
inference_prob
->
dims
());
PADDLE_ENFORCE_EQ
(
inference
->
dims
(),
label
->
dims
(),
"inference should have same shape as label"
);
ctx
.
Output
<
Tensor
>
(
"A
ccuracy
"
)
->
Resize
({
1
});
ctx
.
Output
<
Tensor
>
(
"A
UC
"
)
->
Resize
({
1
});
}
};
...
...
@@ -45,14 +42,15 @@ class AucOpMaker : public framework::OpProtoAndCheckerMaker {
AucOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"Inference"
,
"Topk(indices) the network output, float value indicating "
"probabilities of classification"
);
AddInput
(
"InferenceProb"
,
"Topk(values) the network output, float value indicating "
"probabilities of classification"
);
AddInput
(
"Label"
,
"Label of the training data"
);
// TODO(typhoonzero): support weight
AddOutput
(
"AUC"
,
"Area Under Curve caculations"
);
"A floating point `Tensor` of arbitrary shape and whose values"
"are in the range `[0, 1]`."
);
AddInput
(
"Label"
,
"A `Tensor` whose shape matches "
"`Inference`. Will be cast to `bool`."
);
// TODO(typhoonzero): support weight input
AddOutput
(
"AUC"
,
"A scalar `Tensor` representing the "
"current area-under-curve."
);
AddAttr
<
std
::
string
>
(
"curve"
,
"Possible curves are ROC and PR"
)
.
SetDefault
(
"ROC"
);
AddAttr
<
int
>
(
"num_thresholds"
,
...
...
@@ -62,12 +60,16 @@ class AucOpMaker : public framework::OpProtoAndCheckerMaker {
AddComment
(
R"DOC(Computes the AUC according forward output and label.
Best to use for binary classification evaluations.
If `label` can be values other than 0 and 1, it will be cast
to bool.
You can find the definations here:
https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_the_curve
Possible curves are:
ROC: Receiver operating characteristic
PR: Precision Recall
-
ROC: Receiver operating characteristic
-
PR: Precision Recall
)DOC"
);
}
};
...
...
This diff is collapsed.
Click to expand it.
paddle/operators/auc_op.h
浏览文件 @
399a5eec
...
...
@@ -22,12 +22,15 @@ namespace operators {
using
Tensor
=
framework
::
Tensor
;
template
<
typename
T
,
int
MajorType
=
Eigen
::
RowMajor
,
typename
IndexType
=
Eigen
::
DenseIndex
>
using
EigenVector
=
framework
::
EigenVector
<
T
,
MajorType
,
IndexType
>
;
template
<
typename
Place
,
typename
T
>
class
AucKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
inference
=
ctx
.
Input
<
Tensor
>
(
"Inference"
);
auto
*
inference_prob
=
ctx
.
Input
<
Tensor
>
(
"InferenceProb"
);
auto
*
label
=
ctx
.
Input
<
Tensor
>
(
"Label"
);
auto
*
auc
=
ctx
.
Output
<
Tensor
>
(
"AUC"
);
...
...
@@ -44,14 +47,20 @@ class AucKernel : public framework::OpKernel {
thresholds_list
[
0
]
=
0.0
f
-
kEpsilon
;
thresholds_list
[
num_thresholds
-
1
]
=
1.0
f
+
kEpsilon
;
const
int
*
inference_data
=
inference
->
data
<
int
>
();
const
T
*
inference_prob_data
=
inference_prob
->
data
<
T
>
();
const
T
*
label_data
=
label
->
data
<
T
>
();
size_t
num_samples
=
inference
->
numel
();
size_t
num_samples
=
inference
->
dims
()[
0
];
size_t
class_dim
=
inference
->
dims
()[
1
];
const
T
*
inference_data
=
inference
->
data
<
T
>
();
Tensor
label_casted
;
label_casted
.
Resize
(
label
->
dims
());
bool
*
label_casted_data
=
label_casted
.
mutable_data
<
bool
>
(
ctx
.
GetPlace
());
// create local tensor for storing the curve: TP, FN, TN, FP
const
int
*
label_data
=
label
->
data
<
int
>
();
// cast label_data to bool
for
(
size_t
i
=
0
;
i
<
num_samples
;
i
++
)
{
label_casted_data
[
i
]
=
static_cast
<
bool
>
(
label_data
[
i
]);
}
// Create local tensor for storing the curve: TP, FN, TN, FP
// TODO(typhoonzero): put these tensors in Scope
// TODO(typhoonzero): use op to caculate these values.
Tensor
true_positive
,
false_positive
,
true_negative
,
false_negative
;
...
...
@@ -72,22 +81,20 @@ class AucKernel : public framework::OpKernel {
// caculate TP, FN, TN, FP for current thresh
int
tp
,
fn
,
tn
,
fp
=
0
;
for
(
size_t
i
=
0
;
i
<
num_samples
;
i
++
)
{
for
(
size_t
j
=
0
;
j
<
class_dim
;
j
++
)
{
if
(
inference_data
[
i
*
class_dim
+
j
]
==
label_data
[
i
])
{
if
(
inference_prob_data
[
i
*
class_dim
+
j
]
>=
(
*
thresh
))
{
if
(
label_casted_data
[
i
])
{
if
(
inference_data
[
i
]
>=
(
*
thresh
))
{
tp
++
;
}
else
{
tn
++
;
}
}
else
{
if
(
inference_prob_data
[
i
*
class_dim
+
j
]
>=
(
*
thresh
))
{
if
(
inference_data
[
i
]
>=
(
*
thresh
))
{
fp
++
;
}
else
{
fn
++
;
}
}
}
}
// store rates
tp_data
[
idx_thresh
]
=
tp
;
fn_data
[
idx_thresh
]
=
fn
;
...
...
This diff is collapsed.
Click to expand it.
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