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体验新版 GitCode,发现更多精彩内容 >>
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42470f14
编写于
11月 23, 2018
作者:
J
JiabinYang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
test=develop
上级
0fca1684
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
50 addition
and
54 deletion
+50
-54
paddle/fluid/framework/selected_rows.cc
paddle/fluid/framework/selected_rows.cc
+0
-52
paddle/fluid/framework/selected_rows.h
paddle/fluid/framework/selected_rows.h
+49
-1
paddle/fluid/operators/math/matrix_bit_code.cc
paddle/fluid/operators/math/matrix_bit_code.cc
+1
-1
未找到文件。
paddle/fluid/framework/selected_rows.cc
浏览文件 @
42470f14
...
@@ -140,58 +140,6 @@ bool SelectedRows::HasKey(int64_t key) const {
...
@@ -140,58 +140,6 @@ bool SelectedRows::HasKey(int64_t key) const {
:
true
;
:
true
;
}
}
int64_t
SelectedRows
::
AutoGrownIndex
(
int64_t
key
,
bool
auto_grown
,
bool
is_test
)
{
if
(
is_test
)
{
auto
iter
=
id_to_index_
.
find
(
key
);
if
(
iter
==
id_to_index_
.
end
())
{
return
-
1
;
}
else
{
return
iter
->
second
;
}
}
rwlock_
->
RDLock
();
auto
iter
=
id_to_index_
.
find
(
key
);
if
(
iter
==
id_to_index_
.
end
())
{
rwlock_
->
UNLock
();
if
(
!
auto_grown
)
{
PADDLE_THROW
(
"key %d not found"
,
key
);
}
rwlock_
->
WRLock
();
auto
map_size
=
id_to_index_
.
size
();
auto
vector_size
=
rows_
.
size
();
if
(
map_size
!=
vector_size
)
{
rwlock_
->
UNLock
();
PADDLE_THROW
(
"id_to_index_ size %d should have the same size with rows_ %d"
,
map_size
,
vector_size
);
}
auto
write_iter
=
id_to_index_
.
find
(
key
);
if
(
write_iter
==
id_to_index_
.
end
())
{
int
row_num
=
rows_
.
size
();
if
(
row_num
==
value_
->
dims
()[
0
])
{
rwlock_
->
UNLock
();
PADDLE_THROW
(
"selected rows is full, then length exceed %d"
,
row_num
);
}
// key logic to put a key into id_to_index_
rows_
.
push_back
(
key
);
auto
index
=
static_cast
<
int64_t
>
(
rows_
.
size
()
-
1
);
id_to_index_
[
key
]
=
index
;
rwlock_
->
UNLock
();
return
index
;
}
else
{
auto
index
=
write_iter
->
second
;
rwlock_
->
UNLock
();
return
index
;
}
}
else
{
auto
index
=
iter
->
second
;
rwlock_
->
UNLock
();
return
index
;
}
}
void
SelectedRows
::
SyncIndex
()
{
void
SelectedRows
::
SyncIndex
()
{
rwlock_
->
WRLock
();
rwlock_
->
WRLock
();
id_to_index_
.
clear
();
id_to_index_
.
clear
();
...
...
paddle/fluid/framework/selected_rows.h
浏览文件 @
42470f14
...
@@ -118,7 +118,55 @@ class SelectedRows {
...
@@ -118,7 +118,55 @@ class SelectedRows {
*
*
* @return index of the key.
* @return index of the key.
*/
*/
int64_t
AutoGrownIndex
(
int64_t
key
,
bool
auto_grown
,
bool
is_test
=
false
);
int64_t
AutoGrownIndex
(
int64_t
key
,
bool
auto_grown
,
bool
is_test
=
false
)
{
if
(
is_test
)
{
auto
iter
=
id_to_index_
.
find
(
key
);
if
(
iter
==
id_to_index_
.
end
())
{
return
-
1
;
}
else
{
return
iter
->
second
;
}
}
rwlock_
->
RDLock
();
auto
iter
=
id_to_index_
.
find
(
key
);
if
(
iter
==
id_to_index_
.
end
())
{
rwlock_
->
UNLock
();
if
(
!
auto_grown
)
{
PADDLE_THROW
(
"key %d not found"
,
key
);
}
rwlock_
->
WRLock
();
auto
map_size
=
id_to_index_
.
size
();
auto
vector_size
=
rows_
.
size
();
if
(
map_size
!=
vector_size
)
{
rwlock_
->
UNLock
();
PADDLE_THROW
(
"id_to_index_ size %d should have the same size with rows_ %d"
,
map_size
,
vector_size
);
}
auto
write_iter
=
id_to_index_
.
find
(
key
);
if
(
write_iter
==
id_to_index_
.
end
())
{
int
row_num
=
rows_
.
size
();
if
(
row_num
==
value_
->
dims
()[
0
])
{
rwlock_
->
UNLock
();
PADDLE_THROW
(
"selected rows is full, then length exceed %d"
,
row_num
);
}
// key logic to put a key into id_to_index_
rows_
.
push_back
(
key
);
auto
index
=
static_cast
<
int64_t
>
(
rows_
.
size
()
-
1
);
id_to_index_
[
key
]
=
index
;
rwlock_
->
UNLock
();
return
index
;
}
else
{
auto
index
=
write_iter
->
second
;
rwlock_
->
UNLock
();
return
index
;
}
}
else
{
auto
index
=
iter
->
second
;
rwlock_
->
UNLock
();
return
index
;
}
}
void
SyncIndex
();
void
SyncIndex
();
/*
/*
...
...
paddle/fluid/operators/math/matrix_bit_code.cc
浏览文件 @
42470f14
...
@@ -142,7 +142,7 @@ void MatrixBitCodeFunctor<T>::MulGradWeight(const framework::LoDTensor& tmat,
...
@@ -142,7 +142,7 @@ void MatrixBitCodeFunctor<T>::MulGradWeight(const framework::LoDTensor& tmat,
for
(
size_t
k
=
0
;
k
<
input_width
;
++
k
)
{
for
(
size_t
k
=
0
;
k
<
input_width
;
++
k
)
{
int64_t
row_index
=
int64_t
row_index
=
weight
->
AutoGrownIndex
(
static_cast
<
int64_t
>
(
index
),
false
);
weight
->
AutoGrownIndex
(
static_cast
<
int64_t
>
(
index
),
false
,
true
);
weight_value
[
row_index
*
weight_width
+
k
]
+=
weight_value
[
row_index
*
weight_width
+
k
]
+=
tmat_value
[
i
*
tmat_width
+
j
]
*
input_value
[
input_width
*
i
+
k
];
tmat_value
[
i
*
tmat_width
+
j
]
*
input_value
[
input_width
*
i
+
k
];
...
...
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