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
wzpei9
Paddle
提交
b3afe30d
P
Paddle
项目概览
wzpei9
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
1
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1
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
1
Issue
1
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
b3afe30d
编写于
9月 06, 2017
作者:
C
Cao Ying
提交者:
GitHub
9月 06, 2017
浏览文件
操作
浏览文件
下载
差异文件
Merge pull request #3887 from lcy-seso/update_softmax_doc
update the doc of softmax_op.
上级
ba43904a
dc520da7
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
22 addition
and
4 deletion
+22
-4
paddle/operators/softmax_op.cc
paddle/operators/softmax_op.cc
+22
-4
未找到文件。
paddle/operators/softmax_op.cc
浏览文件 @
b3afe30d
...
@@ -24,7 +24,7 @@ class SoftmaxOp : public framework::OperatorWithKernel {
...
@@ -24,7 +24,7 @@ class SoftmaxOp : public framework::OperatorWithKernel {
protected:
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
PADDLE_ENFORCE
(
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
().
size
()
==
2UL
,
PADDLE_ENFORCE
(
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
().
size
()
==
2UL
,
"The input of softmax op must be
matrix
"
);
"The input of softmax op must be
a matrix.
"
);
ctx
.
Output
<
Tensor
>
(
"Y"
)
->
Resize
(
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
());
ctx
.
Output
<
Tensor
>
(
"Y"
)
->
Resize
(
ctx
.
Input
<
Tensor
>
(
"X"
)
->
dims
());
}
}
};
};
...
@@ -34,9 +34,27 @@ class SoftmaxOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -34,9 +34,27 @@ class SoftmaxOpMaker : public framework::OpProtoAndCheckerMaker {
SoftmaxOpMaker
(
framework
::
OpProto
*
proto
,
SoftmaxOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"input of softmax"
);
AddInput
(
"X"
,
AddOutput
(
"Y"
,
"output of softmax"
);
"The input tensor of softmax. "
AddComment
(
"Softmax Op"
);
"2-D with shape [batch_size, input_feature_dimensions]."
);
AddOutput
(
"Y"
,
"The normalized values with the same shape as X."
);
AddComment
(
R"DOC(
The input of softmax operator is a 2-D tensor with shape N x K (N is the
batch_size, K is the dimension of input feature). The output tensor has the
same shape as the input tensor.
For each row of the input tensor, the softmax operator squashes the
K-dimensional vector of arbitrary real values to a K-dimensional vector of real
values in the range [0, 1] that add up to 1. Specifically, it computes the
exponential of the given dimension and the sum of exponential values of all
the other dimensions in the K-dimensional vector input. Then the ratio of the
exponential of the given dimension and the sum of exponential values of all
the other dimensions is the output of the softmax operator.
For each row `i` and each column `j` in X, we have:
Y[i, j] = exp(X[i, j]) / sum_j(exp(X[i, j]))
)DOC"
);
}
}
};
};
...
...
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