Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
wk1234123
Paddle
提交
8f8ea005
P
Paddle
项目概览
wk1234123
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
4
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
8f8ea005
编写于
9月 15, 2017
作者:
C
caoying03
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix implementations.
上级
1fb5f12f
变更
7
显示空白变更内容
内联
并排
Showing
7 changed file
with
151 addition
and
35 deletion
+151
-35
paddle/operators/math/utils.h
paddle/operators/math/utils.h
+42
-0
paddle/operators/onehot_cross_entropy_op.cu
paddle/operators/onehot_cross_entropy_op.cu
+4
-16
paddle/operators/softmax_with_cross_entropy_op.cc
paddle/operators/softmax_with_cross_entropy_op.cc
+6
-6
paddle/operators/softmax_with_cross_entropy_op.cu
paddle/operators/softmax_with_cross_entropy_op.cu
+93
-4
paddle/operators/softmax_with_cross_entropy_op.h
paddle/operators/softmax_with_cross_entropy_op.h
+3
-4
python/paddle/v2/framework/tests/test_cross_entropy_op.py
python/paddle/v2/framework/tests/test_cross_entropy_op.py
+0
-1
python/paddle/v2/framework/tests/test_softmax_with_cross_entropy_op.py
.../v2/framework/tests/test_softmax_with_cross_entropy_op.py
+3
-4
未找到文件。
paddle/operators/math/utils.h
0 → 100644
浏览文件 @
8f8ea005
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include "paddle/platform/assert.h"
#include "paddle/platform/hostdevice.h"
namespace
paddle
{
namespace
operators
{
namespace
math
{
template
<
typename
T
>
T
HOSTDEVICE
tolerable_value
(
const
T
x
)
{
PADDLE_ASSERT
(
std
::
is_floating_point
<
T
>::
value
);
const
T
kApproInf
=
1e20
;
if
(
x
==
INFINITY
)
{
return
kApproInf
;
}
if
(
x
==
-
INFINITY
)
{
return
-
kApproInf
;
}
return
x
;
}
}
// namespace math
}
// namespace operators
}
// namespace paddle
paddle/operators/onehot_cross_entropy_op.cu
浏览文件 @
8f8ea005
...
...
@@ -13,6 +13,7 @@
limitations under the License. */
#include "paddle/framework/op_registry.h"
#include "paddle/operators/math/utils.h"
#include "paddle/platform/assert.h"
namespace
paddle
{
...
...
@@ -20,20 +21,6 @@ namespace operators {
using
Tensor
=
framework
::
Tensor
;
template
<
typename
T
>
__host__
__device__
T
clipping_log
(
const
T
x
)
{
PADDLE_ASSERT
(
std
::
is_floating_point
<
T
>::
value
);
const
T
kApproInf
=
1e20
;
T
v
=
log
(
x
);
if
(
v
==
INFINITY
)
{
return
kApproInf
;
}
if
(
v
==
-
INFINITY
)
{
return
-
kApproInf
;
}
return
v
;
}
template
<
typename
T
>
__global__
void
CrossEntropyKernel
(
T
*
Y
,
const
T
*
X
,
const
int
*
label
,
const
int
N
,
const
int
D
)
{
...
...
@@ -42,7 +29,7 @@ __global__ void CrossEntropyKernel(T* Y, const T* X, const int* label,
for
(
int
i
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
i
<
N
;
i
+=
blockDim
.
x
*
gridDim
.
x
)
{
PADDLE_ASSERT
(
label
[
i
]
>=
0
&&
label
[
i
]
<
D
);
Y
[
i
]
=
-
clipping_log
(
X
[
i
*
D
+
label
[
i
]]
);
Y
[
i
]
=
-
math
::
tolerable_value
(
log
(
X
[
i
*
D
+
label
[
i
]])
);
}
}
...
...
@@ -73,7 +60,7 @@ class OnehotCrossEntropyOpCUDAKernel : public framework::OpKernel {
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
PADDLE_ENFORCE
(
platform
::
is_gpu_place
(
ctx
.
GetPlace
()),
"
It must use GPUPla
ce."
);
"
This kernel only runs on GPU devi
ce."
);
auto
X
=
ctx
.
Input
<
Tensor
>
(
"X"
);
const
T
*
Xdata
=
X
->
data
<
T
>
();
...
...
@@ -86,6 +73,7 @@ class OnehotCrossEntropyOpCUDAKernel : public framework::OpKernel {
int
D
=
X
->
dims
()[
1
];
int
block
=
512
;
int
grid
=
(
N
+
block
-
1
)
/
block
;
// TODO(qingqing) launch kernel on specified stream
// base on ExecutionContext.
CrossEntropyKernel
<
T
><<<
grid
,
block
>>>
(
Ydata
,
Xdata
,
label_data
,
N
,
D
);
...
...
paddle/operators/softmax_with_cross_entropy_op.cc
浏览文件 @
8f8ea005
...
...
@@ -32,7 +32,7 @@ class SoftmaxWithCrossEntropyOpMaker
"Store the outputs of softmax function, "
"which will be used in backward calculation."
)
.
AsIntermediate
();
AddOutput
(
"
Loss
"
,
"A 1-D tensor<float> with shape N."
);
AddOutput
(
"
Out
"
,
"A 1-D tensor<float> with shape N."
);
AddComment
(
R"DOC(
Cross entropy loss with softmax are used as the output layer extensively. This
operator computes the softmax normalized values for each row of the input
...
...
@@ -56,14 +56,14 @@ class SoftmaxWithCrossEntropyOpGrad : public framework::OperatorWithKernel {
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
framework
::
GradVarName
(
"
Loss
"
)),
"Input(
Loss
@Grad) should not be null"
);
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
framework
::
GradVarName
(
"
Out
"
)),
"Input(
Out
@Grad) should not be null"
);
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
"Softmax"
),
"Input(Softmax) should be not null."
);
PADDLE_ENFORCE_NOT_NULL
(
ctx
.
InputVar
(
"Label"
),
"Input(Lable) should be not null."
);
ctx
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"Logits"
))
ctx
.
Output
<
framework
::
LoD
Tensor
>
(
framework
::
GradVarName
(
"Logits"
))
->
Resize
(
ctx
.
Input
<
Tensor
>
(
"Softmax"
)
->
dims
());
}
};
...
...
@@ -81,8 +81,8 @@ class SoftmaxWithCrossEntropyOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE
(
ctx
.
Input
<
Tensor
>
(
"Label"
)
->
dims
().
size
()
==
1UL
,
"The label should be a 1-d tensor."
);
ctx
.
Output
<
Tensor
>
(
"Softmax"
)
->
Resize
(
logits
->
dims
());
ctx
.
Output
<
Tensor
>
(
"Loss
"
)
->
Resize
({
logits
->
dims
()[
0
],
1
});
ctx
.
Output
<
framework
::
LoD
Tensor
>
(
"Softmax"
)
->
Resize
(
logits
->
dims
());
ctx
.
Output
<
framework
::
LoDTensor
>
(
"Out
"
)
->
Resize
({
logits
->
dims
()[
0
],
1
});
}
};
...
...
paddle/operators/softmax_with_cross_entropy_op.cu
浏览文件 @
8f8ea005
/* Copyright (c) 2016 PaddlePaddle Authors All Rights Reserve.
/* Copyright (c) 2016 PaddlePaddle Authors
.
All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
...
...
@@ -13,8 +13,97 @@
limitations under the License. */
#define EIGEN_USE_GPU
#include "softmax_with_cross_entropy_op.h"
#include "paddle/framework/op_registry.h"
#include "paddle/operators/math/softmax_function.h"
#include "paddle/operators/math/utils.h"
namespace
ops
=
paddle
::
operators
;
namespace
paddle
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
template
<
typename
T
>
__global__
void
CrossEntropyKernel
(
T
*
out
,
const
T
*
softmax_out
,
const
int
*
label
,
const
int
batch_size
,
const
int
class_num
)
{
int
i
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
if
(
i
>=
batch_size
)
return
;
PADDLE_ASSERT
(
label
[
i
]
>=
0
&&
label
[
i
]
<
class_num
);
out
[
i
]
=
-
math
::
tolerable_value
(
log
(
softmax_out
[
i
*
class_num
+
label
[
i
]]));
}
template
<
typename
T
>
__global__
void
CrossEntropyWithSoftmaxGradKernel
(
T
*
softmax_out
,
const
int
*
label
,
const
int
batch_size
,
const
int
class_num
)
{
int
i
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
if
(
i
>=
batch_size
)
return
;
PADDLE_ASSERT
(
label
[
i
]
>=
0
&&
label
[
i
]
<
class_num
);
softmax_out
[
i
*
class_num
+
label
[
i
]]
-=
1.
;
}
template
<
typename
T
>
class
SoftmaxWithCrossEntropyCUDAKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
PADDLE_ENFORCE
(
platform
::
is_gpu_place
(
context
.
GetPlace
()),
"This kernel only runs on GPU device."
);
// Calculate ths softmax outputs.
const
Tensor
*
logits
=
context
.
Input
<
Tensor
>
(
"Logits"
);
Tensor
*
softmax
=
context
.
Output
<
Tensor
>
(
"Softmax"
);
softmax
->
mutable_data
<
T
>
(
context
.
GetPlace
());
math
::
SoftmaxFunctor
<
platform
::
GPUPlace
,
T
>
()(
logits
,
softmax
,
context
);
T
*
softmax_out
=
softmax
->
data
<
T
>
();
// Calculate the cross entropy loss based on hard labels.
const
int
*
label_data
=
context
.
Input
<
Tensor
>
(
"Label"
)
->
data
<
int
>
();
Tensor
*
loss
=
context
.
Output
<
Tensor
>
(
"Out"
);
loss
->
mutable_data
<
T
>
(
context
.
GetPlace
());
T
*
loss_data
=
loss
->
data
<
T
>
();
const
int
batch_size
=
logits
->
dims
()[
0
];
const
int
class_num
=
logits
->
dims
()[
1
];
int
block
=
512
;
int
grid
=
(
batch_size
+
block
-
1
)
/
block
;
// TODO(caoying) add GPU kernel
CrossEntropyKernel
<
T
><<<
grid
,
block
>>>
(
loss_data
,
softmax_out
,
label_data
,
batch_size
,
class_num
);
}
};
template
<
typename
T
>
class
SoftmaxWithCrossEntropyGradCUDAKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
PADDLE_ENFORCE
(
platform
::
is_gpu_place
(
context
.
GetPlace
()),
"This kernel only runs on GPU device."
);
Tensor
*
logit_grad
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"Logits"
));
logit_grad
->
ShareDataWith
<
T
>
(
*
context
.
Input
<
Tensor
>
(
"Softmax"
));
T
*
logit_grad_data
=
logit_grad
->
data
<
T
>
();
const
int
batch_size
=
logit_grad
->
dims
()[
0
];
const
int
class_num
=
logit_grad
->
dims
()[
1
];
const
int
*
label_data
=
context
.
Input
<
Tensor
>
(
"Label"
)
->
data
<
int
>
();
const
int
block
=
512
;
const
int
grid
=
(
batch_size
+
block
-
1
)
/
block
;
CrossEntropyWithSoftmaxGradKernel
<
T
><<<
grid
,
block
>>>
(
logit_grad_data
,
label_data
,
batch_size
,
class_num
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
softmax_with_cross_entropy
,
ops
::
SoftmaxWithCrossEntropyCUDAKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
softmax_with_cross_entropy_grad
,
ops
::
SoftmaxWithCrossEntropyGradCUDAKernel
<
float
>
);
paddle/operators/softmax_with_cross_entropy_op.h
浏览文件 @
8f8ea005
...
...
@@ -30,8 +30,7 @@ template <typename T>
class
SoftmaxWithCrossEntropyKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
place
=
context
.
GetPlace
();
PADDLE_ENFORCE
(
platform
::
is_cpu_place
(
place
),
PADDLE_ENFORCE
(
platform
::
is_cpu_place
(
context
.
GetPlace
()),
"This kernel only runs on CPU."
);
// Calculate ths softmax outputs.
...
...
@@ -45,7 +44,7 @@ class SoftmaxWithCrossEntropyKernel : public framework::OpKernel {
T
*
softmax_out
=
softmax
->
data
<
T
>
();
const
int
*
label_data
=
context
.
Input
<
Tensor
>
(
"Label"
)
->
data
<
int
>
();
Tensor
*
loss
=
context
.
Output
<
Tensor
>
(
"
Loss
"
);
Tensor
*
loss
=
context
.
Output
<
Tensor
>
(
"
Out
"
);
loss
->
mutable_data
<
T
>
(
context
.
GetPlace
());
T
*
loss_data
=
loss
->
data
<
T
>
();
...
...
@@ -74,7 +73,7 @@ class SoftmaxWithCrossEntropyGradKernel : public framework::OpKernel {
const
int
*
label_data
=
context
.
Input
<
Tensor
>
(
"Label"
)
->
data
<
int
>
();
for
(
int
i
=
0
;
i
<
batch_size
;
++
i
)
{
int
index
=
i
*
class_num
+
label_data
[
i
];
logit_grad_data
[
index
]
-=
.1
;
logit_grad_data
[
index
]
-=
1.
;
}
}
};
...
...
python/paddle/v2/framework/tests/test_cross_entropy_op.py
浏览文件 @
8f8ea005
import
unittest
import
numpy
from
op_test
import
OpTest
import
pdb
class
TestCrossEntropy
(
OpTest
):
...
...
python/paddle/v2/framework/tests/test_softmax_with_cross_entropy_op.py
浏览文件 @
8f8ea005
import
unittest
import
numpy
as
np
import
pdb
from
op_test
import
OpTest
from
test_softmax_op
import
stable_softmax
...
...
@@ -11,7 +10,7 @@ class TestSoftmaxWithCrossEntropyOp(OpTest):
self
.
op_type
=
"softmax_with_cross_entropy"
MAX_BATCH_SIZE
=
23
MAX_CLASS_NUM
=
1
0
MAX_CLASS_NUM
=
1
7
batch_size
=
np
.
random
.
randint
(
1
,
MAX_BATCH_SIZE
,
1
)[
0
]
class_num
=
np
.
random
.
randint
(
2
,
MAX_CLASS_NUM
,
1
)[
0
]
...
...
@@ -26,13 +25,13 @@ class TestSoftmaxWithCrossEntropyOp(OpTest):
dtype
=
"float32"
)
self
.
inputs
=
{
"Logits"
:
logits
,
"Label"
:
labels
}
self
.
outputs
=
{
"Softmax"
:
softmax
,
"
Loss
"
:
cross_entropy
}
self
.
outputs
=
{
"Softmax"
:
softmax
,
"
Out
"
:
cross_entropy
}
def
test_check_output
(
self
):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
"Logits"
],
"
Loss"
)
self
.
check_grad
([
"Logits"
],
"
Out"
,
max_relative_error
=
0.05
)
if
__name__
==
"__main__"
:
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录