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体验新版 GitCode,发现更多精彩内容 >>
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2b3904a6
编写于
9月 02, 2017
作者:
Y
Yi Wang
浏览文件
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电子邮件补丁
差异文件
Explain auto code generation
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305aebc0
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17 addition
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4 deletion
+17
-4
doc/design/functions_operators_layers.md
doc/design/functions_operators_layers.md
+17
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未找到文件。
doc/design/functions_operators_layers.md
浏览文件 @
2b3904a6
...
...
@@ -42,7 +42,7 @@ class FCOp : public OperatorBase {
void
Run
(...)
{
add
(
mul
(
Input
<
T
>
(
"X"
),
Input
<
T
>
(
"W"
)),
Input
<
T
>
(
"b"
);
}
};
d
};
REGISTER_OP
(
FCOp
,
"fc"
);
```
...
...
@@ -52,17 +52,17 @@ Let's explain using an example. Suppose that we are going to compose the FC usi
```
python
def
operator
.
mul
(
X1
,
X2
):
O
=
Var
O
=
Var
()
paddle
.
cpp
.
create_operator
(
"mul"
,
input
=
{
X1
,
Y1
],
output
=
O
)
return
O
def
operator
.
add
(
X1
,
X2
):
O
=
Var
O
=
Var
()
paddle
.
cpp
.
create_operator
(
"add"
,
input
=
{
X1
,
X2
],
output
=
O
)
return
O
```
so that we
can define
Above code snippets are automatically generated. Given them, users
can define
```
python
def
layer
.
fc
(
X
):
...
...
@@ -71,6 +71,19 @@ def layer.fc(X):
return
operator
.
add
(
operator
.
mul
(
X
,
W
),
b
)
```
If we don't have
`operator.mul`
and
`operator.add`
, the definiton of
`layer.fc`
would be complicated:
```
python
def
layer
.
fc
(
X
):
W
=
Var
()
b
=
Var
()
O1
=
Var
()
paddle
.
cpp
.
create_operator
(
"mul"
,
input
=
[
X
,
W
],
output
=
O1
)
O2
=
Var
()
paddle
.
cpp
.
create_operator
(
"add"
,
input
=
[
O1
,
b
],
output
=
O2
)
return
O2
```
We'd like to have Python bindings to operators in package
`paddle.operator`
, and Python compositions of operators in package
`paddle.layer`
. So we have the following concepts in above illustrative example:
```
...
...
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