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
PaddlePaddle
Paddle
提交
e91292c6
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2299
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
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
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
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
未验证
提交
e91292c6
编写于
3月 28, 2022
作者:
S
seemingwang
提交者:
GitHub
3月 28, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
reduce graph-engine warnings (#41015)
* fix dependency * reduce warnings
上级
630f5b89
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
22 addition
and
31 deletion
+22
-31
paddle/fluid/distributed/ps/table/common_graph_table.cc
paddle/fluid/distributed/ps/table/common_graph_table.cc
+12
-19
paddle/fluid/distributed/ps/table/common_graph_table.h
paddle/fluid/distributed/ps/table/common_graph_table.h
+1
-6
paddle/fluid/distributed/test/graph_node_test.cc
paddle/fluid/distributed/test/graph_node_test.cc
+9
-6
未找到文件。
paddle/fluid/distributed/ps/table/common_graph_table.cc
浏览文件 @
e91292c6
...
@@ -73,7 +73,7 @@ int CompleteGraphSampler::run_graph_sampling() {
...
@@ -73,7 +73,7 @@ int CompleteGraphSampler::run_graph_sampling() {
}
}
for
(
size_t
i
=
0
;
i
<
tasks
.
size
();
i
++
)
tasks
[
i
].
get
();
for
(
size_t
i
=
0
;
i
<
tasks
.
size
();
i
++
)
tasks
[
i
].
get
();
tasks
.
clear
();
tasks
.
clear
();
for
(
size_
t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
for
(
in
t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
tasks
.
push_back
(
tasks
.
push_back
(
graph_table
->
_shards_task_pool
[
i
%
graph_table
->
task_pool_size_
]
graph_table
->
_shards_task_pool
[
i
%
graph_table
->
task_pool_size_
]
->
enqueue
([
&
,
i
,
this
]()
->
int
{
->
enqueue
([
&
,
i
,
this
]()
->
int
{
...
@@ -101,7 +101,7 @@ int CompleteGraphSampler::run_graph_sampling() {
...
@@ -101,7 +101,7 @@ int CompleteGraphSampler::run_graph_sampling() {
pthread_rwlock_unlock
(
rw_lock
);
pthread_rwlock_unlock
(
rw_lock
);
return
0
;
return
0
;
}
}
for
(
size_
t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
for
(
in
t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
sample_res
[
i
].
node_list
=
sample_nodes
[
i
].
data
();
sample_res
[
i
].
node_list
=
sample_nodes
[
i
].
data
();
sample_res
[
i
].
neighbor_list
=
sample_neighbors
[
i
].
data
();
sample_res
[
i
].
neighbor_list
=
sample_neighbors
[
i
].
data
();
sample_res
[
i
].
node_size
=
sample_nodes
[
i
].
size
();
sample_res
[
i
].
node_size
=
sample_nodes
[
i
].
size
();
...
@@ -136,8 +136,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
...
@@ -136,8 +136,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
int
task_size
=
0
;
int
task_size
=
0
;
std
::
vector
<
std
::
future
<
int
>>
tasks
;
std
::
vector
<
std
::
future
<
int
>>
tasks
;
int
init_size
=
0
;
int
init_size
=
0
;
//__sync_fetch_and_add
std
::
function
<
int
(
int
,
int64_t
)
>
bfs
=
[
&
,
this
](
int
i
,
int64_t
id
)
->
int
{
std
::
function
<
int
(
int
,
int64_t
)
>
bfs
=
[
&
,
this
](
int
i
,
int
id
)
->
int
{
if
(
this
->
status
==
GraphSamplerStatus
::
terminating
)
{
if
(
this
->
status
==
GraphSamplerStatus
::
terminating
)
{
int
task_left
=
__sync_sub_and_fetch
(
&
task_size
,
1
);
int
task_left
=
__sync_sub_and_fetch
(
&
task_size
,
1
);
if
(
task_left
==
0
)
{
if
(
task_left
==
0
)
{
...
@@ -196,7 +195,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
...
@@ -196,7 +195,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
pthread_rwlock_unlock
(
rw_lock
);
pthread_rwlock_unlock
(
rw_lock
);
return
0
;
return
0
;
}
}
std
::
cout
<<
"bfs over"
<<
std
::
endl
;
VLOG
(
0
)
<<
"BasicBfsGraphSampler finishes the graph searching task"
;
sample_nodes
.
clear
();
sample_nodes
.
clear
();
sample_neighbors
.
clear
();
sample_neighbors
.
clear
();
sample_res
.
clear
();
sample_res
.
clear
();
...
@@ -244,7 +243,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
...
@@ -244,7 +243,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
pthread_rwlock_unlock
(
rw_lock
);
pthread_rwlock_unlock
(
rw_lock
);
return
0
;
return
0
;
}
}
for
(
size_t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
for
(
size_t
i
=
0
;
i
<
(
size_t
)
gpu_num
;
i
++
)
{
tasks
.
push_back
(
tasks
.
push_back
(
graph_table
->
_shards_task_pool
[
i
%
graph_table
->
task_pool_size_
]
graph_table
->
_shards_task_pool
[
i
%
graph_table
->
task_pool_size_
]
->
enqueue
([
&
,
i
,
this
]()
->
int
{
->
enqueue
([
&
,
i
,
this
]()
->
int
{
...
@@ -253,19 +252,15 @@ int BasicBfsGraphSampler::run_graph_sampling() {
...
@@ -253,19 +252,15 @@ int BasicBfsGraphSampler::run_graph_sampling() {
return
0
;
return
0
;
}
}
int
total_offset
=
0
;
int
total_offset
=
0
;
size_t
ind
=
i
%
graph_table
->
task_pool_size_
;
for
(
int
j
=
0
;
j
<
this
->
graph_table
->
task_pool_size_
;
j
++
)
{
for
(
int
j
=
0
;
j
<
this
->
graph_table
->
task_pool_size_
;
j
++
)
{
for
(
size_t
k
=
0
;
k
<
sample_nodes_ex
[
j
][
i
nd
].
size
();
k
++
)
{
for
(
size_t
k
=
0
;
k
<
sample_nodes_ex
[
j
][
i
].
size
();
k
++
)
{
sample_nodes
[
i
].
push_back
(
sample_nodes_ex
[
j
][
i
nd
][
k
]);
sample_nodes
[
i
].
push_back
(
sample_nodes_ex
[
j
][
i
][
k
]);
sample_nodes
[
i
].
back
().
neighbor_offset
+=
total_offset
;
sample_nodes
[
i
].
back
().
neighbor_offset
+=
total_offset
;
// neighbor_offset[i].push_back(total_offset +
// neighbor_offset_ex[j][i][k]);
}
}
size_t
neighbor_size
=
sample_neighbors_ex
[
j
][
i
nd
].
size
();
size_t
neighbor_size
=
sample_neighbors_ex
[
j
][
i
].
size
();
total_offset
+=
neighbor_size
;
total_offset
+=
neighbor_size
;
for
(
size_t
k
=
0
;
k
<
neighbor_size
;
k
++
)
{
for
(
size_t
k
=
0
;
k
<
neighbor_size
;
k
++
)
{
sample_neighbors
[
ind
].
push_back
(
sample_neighbors
[
i
].
push_back
(
sample_neighbors_ex
[
j
][
i
][
k
]);
sample_neighbors_ex
[
j
][
ind
][
k
]);
}
}
}
}
return
0
;
return
0
;
...
@@ -276,9 +271,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
...
@@ -276,9 +271,7 @@ int BasicBfsGraphSampler::run_graph_sampling() {
pthread_rwlock_unlock
(
rw_lock
);
pthread_rwlock_unlock
(
rw_lock
);
return
0
;
return
0
;
}
}
// int64_t total_neighbors =
for
(
int
i
=
0
;
i
<
gpu_num
;
i
++
)
{
// std::accumulate(shard_neighbor_size.begin(),shard_neighbor_size.end(),0);
for
(
size_t
i
=
0
;
i
<
gpu_num
;
i
++
)
{
sample_res
[
i
].
node_list
=
sample_nodes
[
i
].
data
();
sample_res
[
i
].
node_list
=
sample_nodes
[
i
].
data
();
sample_res
[
i
].
neighbor_list
=
sample_neighbors
[
i
].
data
();
sample_res
[
i
].
neighbor_list
=
sample_neighbors
[
i
].
data
();
sample_res
[
i
].
node_size
=
sample_nodes
[
i
].
size
();
sample_res
[
i
].
node_size
=
sample_nodes
[
i
].
size
();
...
@@ -683,7 +676,7 @@ int32_t GraphTable::load_edges(const std::string &path, bool reverse_edge) {
...
@@ -683,7 +676,7 @@ int32_t GraphTable::load_edges(const std::string &path, bool reverse_edge) {
sort
(
index
.
begin
(),
index
.
end
(),
[
&
](
int
&
a
,
int
&
b
)
{
sort
(
index
.
begin
(),
index
.
end
(),
[
&
](
int
&
a
,
int
&
b
)
{
return
has_alloc
[
a
]
-
alloc
[
a
]
<
has_alloc
[
b
]
-
alloc
[
b
];
return
has_alloc
[
a
]
-
alloc
[
a
]
<
has_alloc
[
b
]
-
alloc
[
b
];
});
});
int
left
=
0
,
right
=
index
.
size
()
-
1
;
int
left
=
0
,
right
=
(
int
)
index
.
size
()
-
1
;
while
(
left
<
right
)
{
while
(
left
<
right
)
{
if
(
has_alloc
[
index
[
right
]]
-
alloc
[
index
[
right
]]
==
0
)
break
;
if
(
has_alloc
[
index
[
right
]]
-
alloc
[
index
[
right
]]
==
0
)
break
;
int
x
=
std
::
min
(
alloc
[
index
[
left
]]
-
has_alloc
[
index
[
left
]],
int
x
=
std
::
min
(
alloc
[
index
[
left
]]
-
has_alloc
[
index
[
left
]],
...
@@ -1152,7 +1145,7 @@ int32_t GraphTable::initialize(const GraphParameter &graph) {
...
@@ -1152,7 +1145,7 @@ int32_t GraphTable::initialize(const GraphParameter &graph) {
shard_end
=
shard_start
+
shard_num_per_server
;
shard_end
=
shard_start
+
shard_num_per_server
;
VLOG
(
0
)
<<
"in init graph table shard idx = "
<<
_shard_idx
<<
" shard_start "
VLOG
(
0
)
<<
"in init graph table shard idx = "
<<
_shard_idx
<<
" shard_start "
<<
shard_start
<<
" shard_end "
<<
shard_end
;
<<
shard_start
<<
" shard_end "
<<
shard_end
;
for
(
in
t
i
=
0
;
i
<
shard_num_per_server
;
i
++
)
{
for
(
size_
t
i
=
0
;
i
<
shard_num_per_server
;
i
++
)
{
shards
.
push_back
(
new
GraphShard
());
shards
.
push_back
(
new
GraphShard
());
}
}
use_duplicate_nodes
=
false
;
use_duplicate_nodes
=
false
;
...
...
paddle/fluid/distributed/ps/table/common_graph_table.h
浏览文件 @
e91292c6
...
@@ -204,7 +204,7 @@ class RandomSampleLRU {
...
@@ -204,7 +204,7 @@ class RandomSampleLRU {
}
}
void
process_redundant
(
int
process_size
)
{
void
process_redundant
(
int
process_size
)
{
size_
t
length
=
std
::
min
(
remove_count
,
process_size
);
in
t
length
=
std
::
min
(
remove_count
,
process_size
);
while
(
length
--
)
{
while
(
length
--
)
{
remove
(
node_head
);
remove
(
node_head
);
remove_count
--
;
remove_count
--
;
...
@@ -306,12 +306,10 @@ class ScaledLRU {
...
@@ -306,12 +306,10 @@ class ScaledLRU {
if
((
size_t
)
node_size
<=
size_t
(
1.1
*
size_limit
)
+
1
)
return
0
;
if
((
size_t
)
node_size
<=
size_t
(
1.1
*
size_limit
)
+
1
)
return
0
;
if
(
pthread_rwlock_wrlock
(
&
rwlock
)
==
0
)
{
if
(
pthread_rwlock_wrlock
(
&
rwlock
)
==
0
)
{
// VLOG(0)<"in shrink\n";
global_count
=
0
;
global_count
=
0
;
for
(
size_t
i
=
0
;
i
<
lru_pool
.
size
();
i
++
)
{
for
(
size_t
i
=
0
;
i
<
lru_pool
.
size
();
i
++
)
{
global_count
+=
lru_pool
[
i
].
node_size
-
lru_pool
[
i
].
remove_count
;
global_count
+=
lru_pool
[
i
].
node_size
-
lru_pool
[
i
].
remove_count
;
}
}
// VLOG(0)<<"global_count "<<global_count<<"\n";
if
((
size_t
)
global_count
>
size_limit
)
{
if
((
size_t
)
global_count
>
size_limit
)
{
size_t
remove
=
global_count
-
size_limit
;
size_t
remove
=
global_count
-
size_limit
;
for
(
size_t
i
=
0
;
i
<
lru_pool
.
size
();
i
++
)
{
for
(
size_t
i
=
0
;
i
<
lru_pool
.
size
();
i
++
)
{
...
@@ -319,7 +317,6 @@ class ScaledLRU {
...
@@ -319,7 +317,6 @@ class ScaledLRU {
lru_pool
[
i
].
remove_count
+=
lru_pool
[
i
].
remove_count
+=
1.0
*
(
lru_pool
[
i
].
node_size
-
lru_pool
[
i
].
remove_count
)
/
1.0
*
(
lru_pool
[
i
].
node_size
-
lru_pool
[
i
].
remove_count
)
/
global_count
*
remove
;
global_count
*
remove
;
// VLOG(0)<<i<<" "<<lru_pool[i].remove_count<<std::endl;
}
}
}
}
pthread_rwlock_unlock
(
&
rwlock
);
pthread_rwlock_unlock
(
&
rwlock
);
...
@@ -332,8 +329,6 @@ class ScaledLRU {
...
@@ -332,8 +329,6 @@ class ScaledLRU {
if
(
diff
!=
0
)
{
if
(
diff
!=
0
)
{
__sync_fetch_and_add
(
&
global_count
,
diff
);
__sync_fetch_and_add
(
&
global_count
,
diff
);
if
(
global_count
>
int
(
1.25
*
size_limit
))
{
if
(
global_count
>
int
(
1.25
*
size_limit
))
{
// VLOG(0)<<"global_count too large "<<global_count<<" enter start
// shrink task\n";
thread_pool
->
enqueue
([
this
]()
->
int
{
return
shrink
();
});
thread_pool
->
enqueue
([
this
]()
->
int
{
return
shrink
();
});
}
}
}
}
...
...
paddle/fluid/distributed/test/graph_node_test.cc
浏览文件 @
e91292c6
...
@@ -649,11 +649,12 @@ void testCache() {
...
@@ -649,11 +649,12 @@ void testCache() {
ASSERT_EQ
((
int
)
r
.
size
(),
0
);
ASSERT_EQ
((
int
)
r
.
size
(),
0
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
for
(
in
t
i
=
0
;
i
<
st
.
get_ttl
();
i
++
)
{
for
(
size_
t
i
=
0
;
i
<
st
.
get_ttl
();
i
++
)
{
st
.
query
(
0
,
&
skey
,
1
,
r
);
st
.
query
(
0
,
&
skey
,
1
,
r
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
for
(
int
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
for
(
size_t
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
r
.
clear
();
r
.
clear
();
}
}
st
.
query
(
0
,
&
skey
,
1
,
r
);
st
.
query
(
0
,
&
skey
,
1
,
r
);
...
@@ -662,22 +663,24 @@ void testCache() {
...
@@ -662,22 +663,24 @@ void testCache() {
strcpy
(
str
,
"54321678"
);
strcpy
(
str
,
"54321678"
);
result
=
new
::
paddle
::
distributed
::
SampleResult
(
strlen
(
str
),
str
);
result
=
new
::
paddle
::
distributed
::
SampleResult
(
strlen
(
str
),
str
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
for
(
in
t
i
=
0
;
i
<
st
.
get_ttl
()
/
2
;
i
++
)
{
for
(
size_
t
i
=
0
;
i
<
st
.
get_ttl
()
/
2
;
i
++
)
{
st
.
query
(
0
,
&
skey
,
1
,
r
);
st
.
query
(
0
,
&
skey
,
1
,
r
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
for
(
int
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
for
(
size_t
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
r
.
clear
();
r
.
clear
();
}
}
str
=
new
char
[
18
];
str
=
new
char
[
18
];
strcpy
(
str
,
"343332d4321"
);
strcpy
(
str
,
"343332d4321"
);
result
=
new
::
paddle
::
distributed
::
SampleResult
(
strlen
(
str
),
str
);
result
=
new
::
paddle
::
distributed
::
SampleResult
(
strlen
(
str
),
str
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
st
.
insert
(
0
,
&
skey
,
result
,
1
);
for
(
in
t
i
=
0
;
i
<
st
.
get_ttl
();
i
++
)
{
for
(
size_
t
i
=
0
;
i
<
st
.
get_ttl
();
i
++
)
{
st
.
query
(
0
,
&
skey
,
1
,
r
);
st
.
query
(
0
,
&
skey
,
1
,
r
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
ASSERT_EQ
((
int
)
r
.
size
(),
1
);
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
char
*
p
=
(
char
*
)
r
[
0
].
second
.
buffer
.
get
();
for
(
int
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
for
(
size_t
j
=
0
;
j
<
r
[
0
].
second
.
actual_size
;
j
++
)
ASSERT_EQ
(
p
[
j
],
str
[
j
]);
r
.
clear
();
r
.
clear
();
}
}
st
.
query
(
0
,
&
skey
,
1
,
r
);
st
.
query
(
0
,
&
skey
,
1
,
r
);
...
...
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