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3e036956
编写于
3月 14, 2019
作者:
S
sneaxiy
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix numeric error
test=develop
上级
5a92e4c0
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
69 addition
and
18 deletion
+69
-18
paddle/fluid/operators/cross_entropy_op.cc
paddle/fluid/operators/cross_entropy_op.cc
+11
-1
paddle/fluid/operators/cross_entropy_op.h
paddle/fluid/operators/cross_entropy_op.h
+56
-17
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+2
-0
未找到文件。
paddle/fluid/operators/cross_entropy_op.cc
浏览文件 @
3e036956
...
...
@@ -248,10 +248,14 @@ class CrossEntropyOp2 : public CrossEntropyOpBase {
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"XShape"
),
"Output(XShape) should be not null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"MatchX"
),
"Output(MatchX) should be not null."
);
auto
x_dims
=
ctx
->
GetInputDim
(
"X"
);
auto
x_dims_vec
=
framework
::
vectorize
(
x_dims
);
x_dims_vec
.
push_back
(
0
);
ctx
->
SetOutputDim
(
"XShape"
,
framework
::
make_ddim
(
x_dims_vec
));
x_dims
[
x_dims
.
size
()
-
1
]
=
1
;
ctx
->
SetOutputDim
(
"MatchX"
,
x_dims
);
ctx
->
ShareLoD
(
"X"
,
/*->*/
"XShape"
);
}
...
...
@@ -264,6 +268,10 @@ class CrossEntropyOp2 : public CrossEntropyOpBase {
class
CrossEntropyGradientOp2
:
public
CrossEntropyGradientOpBase
{
public:
using
CrossEntropyGradientOpBase
::
CrossEntropyGradientOpBase
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"MatchX"
),
"Input(MatchX) must exist"
);
CrossEntropyGradientOpBase
::
InferShape
(
ctx
);
}
protected:
virtual
framework
::
DDim
GetXDim
(
framework
::
InferShapeContext
*
ctx
)
const
{
...
...
@@ -295,6 +303,8 @@ class CrossEntropyOpMaker2 : public framework::OpProtoAndCheckerMaker {
"with 'X' except that the last dimension size is 1. It "
"represents the cross entropy loss."
);
AddOutput
(
"XShape"
,
"Temporaily variable to save shape and LoD of X."
);
AddOutput
(
"MatchX"
,
"X value that matches label, used for gradient computation."
);
AddAttr
<
int
>
(
"ignore_index"
,
"(int, default -100), Specifies a target value that is"
"ignored and does not contribute to the input gradient."
...
...
@@ -327,7 +337,7 @@ class CrossEntropyGradOpDescMaker2 : public framework::SingleGradOpDescMaker {
std
::
unique_ptr
<
framework
::
OpDesc
>
op
(
new
framework
::
OpDesc
());
op
->
SetType
(
"cross_entropy_grad2"
);
op
->
SetInput
(
"Label"
,
Input
(
"Label"
));
op
->
SetInput
(
"
Y"
,
Output
(
"Y
"
));
op
->
SetInput
(
"
MatchX"
,
Output
(
"MatchX
"
));
op
->
SetInput
(
"XShape"
,
Output
(
"XShape"
));
op
->
SetInput
(
framework
::
GradVarName
(
"Y"
),
OutputGrad
(
"Y"
));
op
->
SetOutput
(
framework
::
GradVarName
(
"X"
),
InputGrad
(
"X"
));
...
...
paddle/fluid/operators/cross_entropy_op.h
浏览文件 @
3e036956
...
...
@@ -138,15 +138,48 @@ class CrossEntropyGradientOpKernel : public framework::OpKernel<T> {
}
};
template
<
typename
T
>
struct
HardLabelCrossEntropyForwardFunctor
{
HardLabelCrossEntropyForwardFunctor
(
const
T
*
x
,
T
*
y
,
T
*
match_x
,
const
int64_t
*
label
,
int64_t
ignore_index
,
int64_t
feature_size
)
:
x_
(
x
),
y_
(
y
),
match_x_
(
match_x
),
label_
(
label
),
ignore_index_
(
ignore_index
),
feature_size_
(
feature_size
)
{}
HOSTDEVICE
void
operator
()(
int64_t
idx
)
const
{
auto
label
=
label_
[
idx
];
if
(
label
!=
ignore_index_
)
{
auto
match_x
=
x_
[
idx
*
feature_size_
+
label
];
y_
[
idx
]
=
-
math
::
TolerableValue
<
T
>
()(
real_log
(
match_x
));
match_x_
[
idx
]
=
match_x
;
}
else
{
y_
[
idx
]
=
0
;
match_x_
[
idx
]
=
0
;
// any value is ok
}
}
const
T
*
x_
;
T
*
y_
;
T
*
match_x_
;
const
int64_t
*
label_
;
int64_t
ignore_index_
;
int64_t
feature_size_
;
};
template
<
typename
T
>
struct
HardLabelCrossEntropyBackwardFunctor
{
HardLabelCrossEntropyBackwardFunctor
(
T
*
dx
,
const
T
*
y
,
const
T
*
dy
,
HardLabelCrossEntropyBackwardFunctor
(
T
*
dx
,
const
T
*
dy
,
const
T
*
match_x
,
const
int64_t
*
label
,
int64_t
ignore_index
,
int64_t
feature_size
)
:
dx_
(
dx
),
y_
(
y
),
dy_
(
dy
),
match_x_
(
match_x
),
label_
(
label
),
ignore_index_
(
ignore_index
),
feature_size_
(
feature_size
)
{}
...
...
@@ -156,15 +189,15 @@ struct HardLabelCrossEntropyBackwardFunctor {
auto
col_idx
=
idx
%
feature_size_
;
auto
label
=
label_
[
row_idx
];
if
(
label
==
col_idx
&&
label
!=
ignore_index_
)
{
dx_
[
idx
]
=
-
dy_
[
row_idx
]
*
real_exp
(
y_
[
row_idx
])
;
dx_
[
idx
]
=
-
dy_
[
row_idx
]
/
match_x_
[
row_idx
]
;
}
else
{
dx_
[
idx
]
=
0
;
}
}
T
*
dx_
;
const
T
*
y_
;
const
T
*
dy_
;
const
T
*
match_x_
;
const
int64_t
*
label_
;
int64_t
ignore_index_
;
int64_t
feature_size_
;
...
...
@@ -174,20 +207,26 @@ template <typename DeviceContext, typename T>
class
CrossEntropyOpKernel2
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
x_original
=
ctx
.
Input
<
Tensor
>
(
"X"
);
int
rank
=
x_original
->
dims
().
size
();
auto
x
=
framework
::
ReshapeToMatrix
(
*
x_original
,
rank
-
1
);
auto
label
=
framework
::
ReshapeToMatrix
(
*
ctx
.
Input
<
Tensor
>
(
"Label"
),
rank
-
1
);
auto
*
x
=
ctx
.
Input
<
Tensor
>
(
"X"
);
auto
*
label
=
ctx
.
Input
<
Tensor
>
(
"Label"
);
auto
*
y
=
ctx
.
Output
<
Tensor
>
(
"Y"
);
y
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
*
match_x
=
ctx
.
Output
<
Tensor
>
(
"MatchX"
);
auto
&
x_dims
=
x
->
dims
();
auto
feature_size
=
x_dims
[
x_dims
.
size
()
-
1
];
auto
batch_size
=
framework
::
product
(
x
->
dims
())
/
feature_size
;
auto
*
p_x
=
x
->
data
<
T
>
();
auto
*
p_label
=
label
->
data
<
int64_t
>
();
auto
*
p_y
=
y
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
*
p_match_x
=
match_x
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
ignore_index
=
ctx
.
Attr
<
int
>
(
"ignore_index"
);
math
::
CrossEntropyFunctor
<
DeviceContext
,
T
>
()(
ctx
.
template
device_context
<
DeviceContext
>(),
y
,
&
x
,
&
label
,
false
,
ignore_index
);
platform
::
ForRange
<
DeviceContext
>
for_range
(
ctx
.
template
device_context
<
DeviceContext
>(),
batch_size
);
for_range
(
HardLabelCrossEntropyForwardFunctor
<
T
>
(
p_x
,
p_y
,
p_match_x
,
p_label
,
ignore_index
,
feature_size
));
}
};
...
...
@@ -196,13 +235,13 @@ class CrossEntropyGradientOpKernel2 : public framework::OpKernel<T> {
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
*
dx
=
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
*
y
=
ctx
.
Input
<
Tensor
>
(
"Y"
);
auto
*
dy
=
ctx
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Y"
));
auto
*
match_x
=
ctx
.
Input
<
Tensor
>
(
"MatchX"
);
auto
*
label
=
ctx
.
Input
<
Tensor
>
(
"Label"
);
auto
*
p_dx
=
dx
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
auto
*
p_y
=
y
->
data
<
T
>
();
auto
*
p_dy
=
dy
->
data
<
T
>
();
auto
*
p_match_x
=
match_x
->
data
<
T
>
();
auto
*
p_label
=
label
->
data
<
int64_t
>
();
int64_t
ignore_index
=
ctx
.
Attr
<
int
>
(
"ignore_index"
);
...
...
@@ -214,7 +253,7 @@ class CrossEntropyGradientOpKernel2 : public framework::OpKernel<T> {
ctx
.
template
device_context
<
DeviceContext
>(),
batch_size
*
feature_size
);
for_range
(
HardLabelCrossEntropyBackwardFunctor
<
T
>
(
p_dx
,
p_
y
,
p_dy
,
p_label
,
ignore_index
,
feature_size
));
p_dx
,
p_
dy
,
p_match_x
,
p_label
,
ignore_index
,
feature_size
));
}
};
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
3e036956
...
...
@@ -1450,11 +1450,13 @@ def cross_entropy2(input, label, ignore_index=kIgnoreIndex):
helper
=
LayerHelper
(
'cross_entropy2'
,
**
locals
())
out
=
helper
.
create_variable_for_type_inference
(
dtype
=
input
.
dtype
)
xshape
=
helper
.
create_variable_for_type_inference
(
dtype
=
input
.
dtype
)
match_x
=
helper
.
create_variable_for_type_inference
(
dtype
=
input
.
dtype
)
helper
.
append_op
(
type
=
'cross_entropy2'
,
inputs
=
{
'X'
:
[
input
],
'Label'
:
[
label
]},
outputs
=
{
'Y'
:
[
out
],
'MatchX'
:
[
match_x
],
'XShape'
:
[
xshape
]},
attrs
=
{
'ignore_index'
:
ignore_index
})
return
out
...
...
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