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ccefde20
编写于
1月 30, 2018
作者:
T
typhoonzero
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4 changed file
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214 addition
and
16 deletion
+214
-16
paddle/operators/listen_and_serv_op.cc
paddle/operators/listen_and_serv_op.cc
+207
-0
paddle/operators/recv_op.cc
paddle/operators/recv_op.cc
+1
-8
paddle/operators/send_op.cc
paddle/operators/send_op.cc
+5
-7
python/paddle/v2/fluid/tests/test_recv_op.py
python/paddle/v2/fluid/tests/test_recv_op.py
+1
-1
未找到文件。
paddle/operators/listen_and_serv_op.cc
0 → 100644
浏览文件 @
ccefde20
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <stdint.h>
#include <sys/stat.h>
#include <ostream>
#include <thread>
#include <unistd.h>
#include "paddle/framework/executor.h"
#include "paddle/framework/framework.pb.h"
#include "paddle/framework/lod_tensor.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/proto_desc.h"
#include "paddle/operators/detail/grpc_server.h"
#include "paddle/operators/detail/sendrecvop_utils.h"
#include "paddle/operators/detail/simple_block_queue.h"
#include "paddle/string/printf.h"
namespace
paddle
{
namespace
operators
{
constexpr
char
kOptimizeBlock
[]
=
"OptimizeBlock"
;
void
RunServer
(
std
::
shared_ptr
<
detail
::
AsyncGRPCServer
>
service
)
{
service
->
RunSyncUpdate
();
VLOG
(
4
)
<<
"RunServer thread end"
;
}
static
void
CreateTensorFromMessageType
(
framework
::
Variable
*
var
,
sendrecv
::
VarType
var_type
)
{
if
(
var_type
==
sendrecv
::
VarType
::
LOD_TENSOR
)
{
var
->
GetMutable
<
framework
::
LoDTensor
>
();
}
else
if
(
var_type
==
sendrecv
::
VarType
::
SELECTED_ROWS
)
{
var
->
GetMutable
<
framework
::
SelectedRows
>
();
}
else
{
PADDLE_THROW
(
"VariableMessage type %d is not in "
"[LoDTensor, SelectedRows]"
,
var_type
);
}
}
class
ListenAndServOp
:
public
framework
::
OperatorBase
{
public:
ListenAndServOp
(
const
std
::
string
&
type
,
const
framework
::
VariableNameMap
&
inputs
,
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
:
OperatorBase
(
type
,
inputs
,
outputs
,
attrs
)
{
if
(
!
rpc_service_
)
{
std
::
string
endpoint
=
Attr
<
std
::
string
>
(
"endpoint"
);
rpc_service_
.
reset
(
new
detail
::
AsyncGRPCServer
(
endpoint
));
server_thread_
.
reset
(
new
std
::
thread
(
RunServer
,
rpc_service_
));
}
}
void
Stop
()
override
{
detail
::
MessageWithName
term_msg
;
term_msg
.
first
=
LISTEN_TERMINATE_MESSAGE
;
rpc_service_
->
Push
(
term_msg
);
rpc_service_
->
ShutDown
();
server_thread_
->
join
();
}
std
::
string
GetGradVarNameForTrainer
(
const
std
::
string
&
varname
)
const
{
if
(
grads_counter_
.
find
(
varname
)
==
grads_counter_
.
end
())
{
grads_counter_
[
varname
]
=
0
;
}
return
string
::
Sprintf
(
"%s.trainer_%d"
,
varname
,
grads_counter_
[
varname
]
++
);
}
void
Run
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
auto
&
dev_ctx
=
*
pool
.
Get
(
dev_place
);
framework
::
Scope
&
recv_scope
=
scope
.
NewScope
();
// FIXME(Yancey1989): initialize rpc server with lazy mode.
rpc_service_
->
SetScope
(
&
recv_scope
);
rpc_service_
->
SetDevCtx
(
&
dev_ctx
);
auto
param_list
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"ParamList"
);
auto
grad_list
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"GradList"
);
auto
fan_in
=
Attr
<
int
>
(
"Fanin"
);
auto
*
block
=
Attr
<
framework
::
BlockDesc
*>
(
kOptimizeBlock
);
auto
*
program
=
block
->
Program
();
framework
::
Executor
executor
(
dev_place
);
// TODO(typhoonzero): change this to a while_op for every cluster-batch.
bool
exit_flag
=
false
;
while
(
!
exit_flag
)
{
// Get from multiple trainers, we don't care about the order in which
// the gradients arrives, just add suffix 0~n and merge the gradient.
rpc_service_
->
SetCond
(
0
);
size_t
recv_var_cnt
=
0
;
int
batch_barrier
=
0
;
while
(
batch_barrier
!=
fan_in
)
{
const
detail
::
MessageWithName
&
v
=
rpc_service_
->
Get
();
auto
grad_var_name
=
v
.
first
;
if
(
grad_var_name
==
LISTEN_TERMINATE_MESSAGE
)
{
LOG
(
INFO
)
<<
"received terminate message and exit"
;
exit_flag
=
true
;
break
;
}
else
if
(
grad_var_name
==
BATCH_BARRIER_MESSAGE
)
{
VLOG
(
3
)
<<
"recv batch barrier message"
;
batch_barrier
++
;
continue
;
}
else
{
// receive a variable
recv_var_cnt
++
;
auto
it
=
std
::
find
(
grad_list
.
begin
(),
grad_list
.
end
(),
grad_var_name
);
std
::
string
param_var_name
;
if
(
it
!=
grad_list
.
end
())
{
param_var_name
=
param_list
[
it
-
grad_list
.
begin
()];
}
else
{
LOG
(
ERROR
)
<<
"grad has no paired param:"
<<
grad_var_name
;
}
VLOG
(
3
)
<<
"received grad: "
<<
grad_var_name
<<
" updating param: "
<<
param_var_name
;
if
(
fan_in
>
1
)
{
grad_var_name
=
this
->
GetGradVarNameForTrainer
(
grad_var_name
);
}
auto
*
var
=
recv_scope
.
FindVar
(
grad_var_name
);
if
(
var
==
nullptr
)
{
LOG
(
ERROR
)
<<
"Can not find server side var: "
<<
grad_var_name
;
PADDLE_THROW
(
"Can not find server side var"
);
}
detail
::
DeserializeFromMessage
(
v
.
second
,
dev_ctx
,
var
);
}
}
VLOG
(
3
)
<<
"recv "
<<
recv_var_cnt
<<
" parmeters for one barrier."
;
// TODO(Yancey1989): merge SelectedRows variables here
if
(
exit_flag
)
{
rpc_service_
->
ShutDown
();
}
try
{
executor
.
Run
(
*
program
,
&
recv_scope
,
block
->
ID
(),
/*global_block*/
false
/*create_local_scope*/
,
false
/*create_vars*/
);
}
catch
(
std
::
exception
&
e
)
{
LOG
(
ERROR
)
<<
"run sub program error "
<<
e
.
what
();
}
rpc_service_
->
SetCond
(
1
);
rpc_service_
->
WaitClientGet
(
recv_var_cnt
);
grads_counter_
.
clear
();
}
// while(true)
}
protected:
std
::
shared_ptr
<
detail
::
AsyncGRPCServer
>
rpc_service_
;
std
::
shared_ptr
<
std
::
thread
>
server_thread_
;
mutable
std
::
unordered_map
<
std
::
string
,
int
>
grads_counter_
;
};
class
ListenAndServOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
ListenAndServOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddComment
(
R"DOC(
ListenAndServ operator
This operator will start a RPC server which can receive variables
from send_op and send back variables to recv_op.
)DOC"
);
AddAttr
<
std
::
string
>
(
"endpoint"
,
"(string, default 127.0.0.1:6164)"
"IP address to listen on."
)
.
SetDefault
(
"127.0.0.1:6164"
)
.
AddCustomChecker
([](
const
std
::
string
&
ip
)
{
return
!
ip
.
empty
();
});
AddAttr
<
framework
::
BlockDesc
*>
(
kOptimizeBlock
,
"BlockID to run on server side."
);
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"ParamList"
,
"type list of string"
,
"grad->param name mapping to find which parameters to optimize."
)
.
SetDefault
({});
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"GradList"
,
"type list of string"
,
"grad->param name mapping to find which parameters to optimize."
)
.
SetDefault
({});
AddAttr
<
int
>
(
"Fanin"
,
"type int"
,
"Number of trainers in the current cluster job"
)
.
SetDefault
(
1
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
listen_and_serv
,
ops
::
ListenAndServOp
,
ops
::
ListenAndServOpMaker
);
\ No newline at end of file
paddle/operators/recv_op.cc
浏览文件 @
ccefde20
...
...
@@ -55,19 +55,12 @@ class RecvOpMaker : public framework::OpProtoAndCheckerMaker {
public:
RecvOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"(Tensor) Input tensor to be sent"
).
AsDuplicable
();
AddOutput
(
"Out"
,
"(Tensor) Output tensor to be received from server"
)
.
AsDuplicable
();
AddOutput
(
"Out"
,
"(Tensor) Variables to get from server."
).
AsDuplicable
();
AddComment
(
R"DOC(
Recv operator
This operator can get variables from server side.
)DOC"
);
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"endpoints"
,
"(string vector, default 127.0.0.1:6164)"
"Server endpoints to recv variables"
"from."
)
.
SetDefault
({});
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"epmap"
,
"(string vector, default 127.0.0.1:6164)"
"Server endpoints in the order of input "
...
...
paddle/operators/send_op.cc
浏览文件 @
ccefde20
...
...
@@ -37,7 +37,6 @@ class SendOp : public framework::OperatorBase {
auto
ins
=
Inputs
(
"X"
);
auto
outs
=
Outputs
(
"Out"
);
std
::
vector
<
std
::
string
>
epmap
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"epmap"
);
bool
do_get
=
Attr
<
bool
>
(
"DoGet"
);
std
::
vector
<
std
::
string
>
endpoints
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"endpoints"
);
...
...
@@ -55,7 +54,7 @@ class SendOp : public framework::OperatorBase {
}
PADDLE_ENFORCE
(
client_
.
Wait
());
if
(
do_get
)
{
if
(
outs
.
size
()
>
0
)
{
for
(
size_t
i
=
0
;
i
<
outs
.
size
();
i
++
)
{
VLOG
(
3
)
<<
"getting "
<<
outs
[
i
]
<<
" from "
<<
epmap
[
i
];
client_
.
AsyncGetVariable
(
epmap
[
i
],
ctx
,
scope
,
outs
[
i
]);
...
...
@@ -65,7 +64,8 @@ class SendOp : public framework::OperatorBase {
}
private:
// TODO(typhoonzero): put RPCClient in a Variable.
// TODO(typhoonzero): put RPCClient in a Variable, so that
// send and recv can use the same connection.
mutable
detail
::
RPCClient
client_
;
};
...
...
@@ -81,6 +81,8 @@ Send operator
This operator will send tensor to recv_op at the parameter server.
)DOC"
);
// TODO(typhoonzero): remove this attr generate de-duplicated vector from
// epmap when initializing.
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"endpoints"
,
"(string vector, default 127.0.0.1:6164)"
"Server endpoints to send variables to."
)
...
...
@@ -90,10 +92,6 @@ This operator will send tensor to recv_op at the parameter server.
"Server endpoints in the order of input "
"variables for mapping"
)
.
SetDefault
({});
AddAttr
<
bool
>
(
"DoGet"
,
"(bool, default true)"
"Whether do GetVariable call after send"
)
.
SetDefault
(
true
);
}
};
...
...
python/paddle/v2/fluid/tests/test_recv_op.py
浏览文件 @
ccefde20
...
...
@@ -29,7 +29,7 @@ class TestRecvOp(unittest.TestCase):
p
=
Process
(
target
=
self
.
init_serv
,
args
=
(
place
,
))
p
.
daemon
=
True
p
.
start
()
time
.
sleep
(
5
)
time
.
sleep
(
1
)
self
.
init_client
(
place
)
# FIXME(typhoonzero): find a way to gracefully shutdown the server.
os
.
system
(
"kill -9 %d"
%
p
.
pid
)
...
...
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