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2e9a836c
编写于
3月 06, 2019
作者:
X
xjqbest
提交者:
dongdaxiang
3月 29, 2019
浏览文件
操作
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电子邮件补丁
差异文件
add DataSet and InMemoryDataFeed, support load data into memory and shuffle data
上级
8de4d31a
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
131 addition
and
2 deletion
+131
-2
paddle/fluid/framework/CMakeLists.txt
paddle/fluid/framework/CMakeLists.txt
+24
-0
paddle/fluid/framework/data_feed.cc
paddle/fluid/framework/data_feed.cc
+103
-0
paddle/fluid/pybind/data_set_py.cc
paddle/fluid/pybind/data_set_py.cc
+4
-2
未找到文件。
paddle/fluid/framework/CMakeLists.txt
浏览文件 @
2e9a836c
...
@@ -190,6 +190,30 @@ cc_library(parallel_executor SRCS parallel_executor.cc DEPS
...
@@ -190,6 +190,30 @@ cc_library(parallel_executor SRCS parallel_executor.cc DEPS
graph build_strategy
graph build_strategy
fast_threaded_ssa_graph_executor variable_helper
)
fast_threaded_ssa_graph_executor variable_helper
)
<<<<<<< HEAD
=======
if
(
WITH_PSLIB
)
cc_library
(
async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
trainer_factory.cc trainer.cc device_worker.cc hogwild_worker.cc
downpour_worker.cc pull_dense_worker.cc device_worker_factory.cc
data_set.cc
DEPS op_registry device_context scope framework_proto
trainer_desc_proto glog lod_rank_table fleet_wrapper lodtensor_printer
feed_fetch_method graph_to_program_pass async_executor_proto
variable_helper pslib_brpc pslib timer
)
else
()
cc_library
(
async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
trainer_factory.cc trainer.cc device_worker.cc hogwild_worker.cc
downpour_worker.cc pull_dense_worker.cc device_worker_factory.cc
data_set.cc
DEPS op_registry device_context scope framework_proto
trainer_desc_proto glog lod_rank_table fleet_wrapper lodtensor_printer
feed_fetch_method graph_to_program_pass async_executor_proto
variable_helper timer
)
endif
(
WITH_PSLIB
)
>>>>>>> 870b88bbd7... add DataSet and InMemoryDataFeed, support load data into memory and shuffle data
cc_library
(
async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
cc_library
(
async_executor SRCS async_executor.cc data_feed.cc data_feed_factory.cc
executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
executor_thread_worker.cc multi_trainer.cc dist_multi_trainer.cc
...
...
paddle/fluid/framework/data_feed.cc
浏览文件 @
2e9a836c
...
@@ -242,6 +242,109 @@ void InMemoryDataFeed<T>::GlobalShuffle(int trainer_num) {
...
@@ -242,6 +242,109 @@ void InMemoryDataFeed<T>::GlobalShuffle(int trainer_num) {
template
class
InMemoryDataFeed
<
std
::
vector
<
MultiSlotType
>
>
;
template
class
InMemoryDataFeed
<
std
::
vector
<
MultiSlotType
>
>
;
template
<
typename
T
>
InMemoryDataFeed
<
T
>::
InMemoryDataFeed
()
{
cur_channel_
=
0
;
shuffled_ins_
=
nullptr
;
shuffled_ins_out_
=
nullptr
;
}
template
<
typename
T
>
bool
InMemoryDataFeed
<
T
>::
Start
()
{
DataFeed
::
CheckSetFileList
();
if
(
memory_data_
.
size
()
!=
0
)
{
CHECK_EQ
(
cur_channel_
,
0
);
shuffled_ins_
->
Extend
(
std
::
move
(
memory_data_
));
std
::
vector
<
T
>
().
swap
(
memory_data_
);
}
DataFeed
::
finish_start_
=
true
;
return
true
;
}
template
<
typename
T
>
int
InMemoryDataFeed
<
T
>::
Next
()
{
DataFeed
::
CheckStart
();
std
::
shared_ptr
<
paddle
::
framework
::
BlockingQueue
<
T
>>
in_channel
=
nullptr
;
std
::
shared_ptr
<
paddle
::
framework
::
BlockingQueue
<
T
>>
out_channel
=
nullptr
;
if
(
cur_channel_
==
0
)
{
in_channel
=
shuffled_ins_
;
out_channel
=
shuffled_ins_out_
;
}
else
{
in_channel
=
shuffled_ins_out_
;
out_channel
=
shuffled_ins_
;
}
CHECK
(
in_channel
!=
nullptr
);
CHECK
(
out_channel
!=
nullptr
);
int
index
=
0
;
T
instance
;
T
ins_vec
;
while
(
index
<
DataFeed
::
default_batch_size_
)
{
if
(
in_channel
->
Size
()
==
0
)
{
break
;
}
in_channel
->
Pop
(
instance
);
AddInstanceToInsVec
(
&
ins_vec
,
instance
,
index
++
);
out_channel
->
Push
(
std
::
move
(
instance
));
}
DataFeed
::
batch_size_
=
index
;
if
(
DataFeed
::
batch_size_
!=
0
)
{
PutToFeedVec
(
ins_vec
);
}
else
{
cur_channel_
=
1
-
cur_channel_
;
}
return
DataFeed
::
batch_size_
;
}
template
<
typename
T
>
void
InMemoryDataFeed
<
T
>::
PutInsToChannel
(
const
std
::
string
&
ins_str
)
{
T
ins
;
DeserializeIns
(
ins
,
ins_str
);
shuffled_ins_
->
Push
(
std
::
move
(
ins
));
}
template
<
typename
T
>
void
InMemoryDataFeed
<
T
>::
LoadIntoMemory
()
{
std
::
vector
<
T
>
local_vec
;
std
::
string
filename
;
while
(
DataFeed
::
PickOneFile
(
&
filename
))
{
int
err_no
=
0
;
PrivateQueueDataFeed
<
T
>::
fp_
=
fs_open_read
(
filename
,
&
err_no
,
PrivateQueueDataFeed
<
T
>::
pipe_command_
);
__fsetlocking
(
&*
PrivateQueueDataFeed
<
T
>::
fp_
,
FSETLOCKING_BYCALLER
);
T
instance
;
while
(
ParseOneInstanceFromPipe
(
&
instance
))
{
local_vec
.
push_back
(
instance
);
}
memory_data_
.
insert
(
memory_data_
.
end
(),
local_vec
.
begin
(),
local_vec
.
end
());
std
::
vector
<
T
>
().
swap
(
local_vec
);
}
}
template
<
typename
T
>
void
InMemoryDataFeed
<
T
>::
LocalShuffle
()
{
std
::
random_shuffle
(
memory_data_
.
begin
(),
memory_data_
.
end
());
}
// todo global shuffle
/*
template <typename T>
void InMemoryDataFeed<T>::GlobalShuffle(int trainer_num) {
std::random_shuffle(memory_data_.begin(), memory_data_.end());
for (int64_t i = 0; i < memory_data_.size(); ++i) {
// todo get ins id
//std::string ins_id = memory_data_[i].ins_id;
// todo hash
int64_t hash_id = paddle::ps::local_random_engine()();
//int64_t hash_id = hash(ins_id);
int64_t node_id = hash_id % trainer_num_;
std::string str;
SerializeIns(memory_data_[i], str);
auto fleet_ptr = FleetWrapper::GetInstance();
auto ret = fleet_ptr->send_client2client_msg(0, node_id, str);
}
}
*/
void
MultiSlotDataFeed
::
Init
(
void
MultiSlotDataFeed
::
Init
(
const
paddle
::
framework
::
DataFeedDesc
&
data_feed_desc
)
{
const
paddle
::
framework
::
DataFeedDesc
&
data_feed_desc
)
{
finish_init_
=
false
;
finish_init_
=
false
;
...
...
paddle/fluid/pybind/data_set_py.cc
浏览文件 @
2e9a836c
...
@@ -12,6 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
...
@@ -12,6 +12,8 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
See the License for the specific language governing permissions and
limitations under the License. */
limitations under the License. */
#include <fcntl.h>
#include <fcntl.h>
// To avoid conflicting definition in gcc-4.8.2 headers and pyconfig.h (2.7.3)
#ifdef _POSIX_C_SOURCE
#ifdef _POSIX_C_SOURCE
#undef _POSIX_C_SOURCE
#undef _POSIX_C_SOURCE
#endif
#endif
...
@@ -41,7 +43,7 @@ namespace paddle {
...
@@ -41,7 +43,7 @@ namespace paddle {
namespace
pybind
{
namespace
pybind
{
void
BindDataset
(
py
::
module
*
m
)
{
void
BindDataset
(
py
::
module
*
m
)
{
py
::
class_
<
framework
::
Data
s
et
>
(
*
m
,
"Dataset"
)
py
::
class_
<
framework
::
Data
S
et
>
(
*
m
,
"Dataset"
)
.
def
(
py
::
init
([]()
{
.
def
(
py
::
init
([]()
{
return
std
::
unique_ptr
<
framework
::
Dataset
>
(
new
framework
::
Dataset
());
return
std
::
unique_ptr
<
framework
::
Dataset
>
(
new
framework
::
Dataset
());
}))
}))
...
@@ -51,7 +53,7 @@ void BindDataset(py::module* m) {
...
@@ -51,7 +53,7 @@ void BindDataset(py::module* m) {
.
def
(
"set_data_feed_desc"
,
&
framework
::
Dataset
::
SetDataFeedDesc
)
.
def
(
"set_data_feed_desc"
,
&
framework
::
Dataset
::
SetDataFeedDesc
)
.
def
(
"load_into_memory"
,
&
framework
::
Dataset
::
LoadIntoMemory
)
.
def
(
"load_into_memory"
,
&
framework
::
Dataset
::
LoadIntoMemory
)
.
def
(
"local_shuffle"
,
&
framework
::
Dataset
::
LocalShuffle
)
.
def
(
"local_shuffle"
,
&
framework
::
Dataset
::
LocalShuffle
)
.
def
(
"global_shuffle"
,
&
framework
::
Dataset
::
G
lobalShuffle
);
.
def
(
"global_shuffle"
,
&
framework
::
Dataset
::
G
LobalShuffle
)
}
}
}
// end namespace pybind
}
// end namespace pybind
...
...
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