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79a1a7cd
编写于
4月 18, 2018
作者:
Q
qiaolongfei
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
init async gprc server
上级
8352f938
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
697 addition
and
1 deletion
+697
-1
paddle/fluid/operators/CMakeLists.txt
paddle/fluid/operators/CMakeLists.txt
+2
-0
paddle/fluid/operators/async_listen_and_serv_op.cc
paddle/fluid/operators/async_listen_and_serv_op.cc
+217
-0
paddle/fluid/operators/async_listen_and_serv_op.h
paddle/fluid/operators/async_listen_and_serv_op.h
+55
-0
paddle/fluid/operators/detail/CMakeLists.txt
paddle/fluid/operators/detail/CMakeLists.txt
+1
-1
paddle/fluid/operators/detail/async_grpc_server.cc
paddle/fluid/operators/detail/async_grpc_server.cc
+311
-0
paddle/fluid/operators/detail/async_grpc_server.h
paddle/fluid/operators/detail/async_grpc_server.h
+111
-0
未找到文件。
paddle/fluid/operators/CMakeLists.txt
浏览文件 @
79a1a7cd
...
@@ -189,6 +189,8 @@ if(WITH_DISTRIBUTE)
...
@@ -189,6 +189,8 @@ if(WITH_DISTRIBUTE)
set_source_files_properties
(
recv_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
set_source_files_properties
(
recv_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
op_library
(
listen_and_serv_op DEPS
${
DISTRIBUTE_DEPS
}
)
op_library
(
listen_and_serv_op DEPS
${
DISTRIBUTE_DEPS
}
)
set_source_files_properties
(
listen_and_serv_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
set_source_files_properties
(
listen_and_serv_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
op_library
(
async_listen_and_serv_op DEPS
${
DISTRIBUTE_DEPS
}
)
set_source_files_properties
(
async_listen_and_serv_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
op_library
(
send_vars_op DEPS
${
DISTRIBUTE_DEPS
}
)
op_library
(
send_vars_op DEPS
${
DISTRIBUTE_DEPS
}
)
set_source_files_properties
(
send_vars_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
set_source_files_properties
(
send_vars_op.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
op_library
(
send_barrier_op DEPS
${
DISTRIBUTE_DEPS
}
)
op_library
(
send_barrier_op DEPS
${
DISTRIBUTE_DEPS
}
)
...
...
paddle/fluid/operators/async_listen_and_serv_op.cc
0 → 100644
浏览文件 @
79a1a7cd
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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 <fstream>
#include <ostream>
#include <thread> // NOLINT
#include <vector>
#include "paddle/fluid/operators/async_listen_and_serv_op.h"
namespace
paddle
{
namespace
operators
{
void
RunServer
(
std
::
shared_ptr
<
detail
::
SyncGRPCServer
>
service
)
{
service
->
RunAsyncUpdate
();
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
);
}
}
static
void
ParallelExecuteBlocks
(
const
std
::
vector
<
size_t
>
&
parallel_blkids
,
framework
::
Executor
*
executor
,
const
std
::
vector
<
std
::
shared_ptr
<
framework
::
ExecutorPrepareContext
>>
&
prepared
,
framework
::
ProgramDesc
*
program
,
framework
::
Scope
*
scope
)
{
std
::
vector
<
std
::
future
<
void
>>
fs
;
for
(
size_t
idx
:
parallel_blkids
)
{
fs
.
push_back
(
framework
::
Async
([
&
executor
,
&
prepared
,
&
program
,
&
scope
,
idx
]()
{
int
run_block
=
idx
;
// thread local
try
{
executor
->
RunPreparedContext
(
prepared
[
run_block
].
get
(),
scope
,
false
,
false
);
}
catch
(
std
::
exception
&
e
)
{
LOG
(
ERROR
)
<<
"run sub program error "
<<
e
.
what
();
}
}));
}
for
(
size_t
i
=
0
;
i
<
fs
.
size
();
++
i
)
fs
[
i
].
wait
();
}
static
void
AsyncExecuteBlock
(
size_t
block_id
,
framework
::
Executor
*
executor
,
std
::
shared_ptr
<
framework
::
ExecutorPrepareContext
>
ctx
,
framework
::
ProgramDesc
*
program
,
framework
::
Scope
*
scope
)
{}
AsyncListenAndServOp
::
AsyncListenAndServOp
(
const
std
::
string
&
type
,
const
framework
::
VariableNameMap
&
inputs
,
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
)
:
OperatorBase
(
type
,
inputs
,
outputs
,
attrs
)
{}
int
AsyncListenAndServOp
::
GetSelectedPort
()
const
{
return
rpc_service_
->
GetSelectedPort
();
}
void
AsyncListenAndServOp
::
Stop
()
{
rpc_service_
->
Push
(
LISTEN_TERMINATE_MESSAGE
);
server_thread_
->
join
();
}
void
AsyncListenAndServOp
::
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
{
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
auto
&
dev_ctx
=
*
pool
.
Get
(
dev_place
);
framework
::
Scope
&
recv_scope
=
scope
.
NewScope
();
if
(
!
rpc_service_
)
{
std
::
string
endpoint
=
Attr
<
std
::
string
>
(
"endpoint"
);
rpc_service_
.
reset
(
new
detail
::
SyncGRPCServer
(
endpoint
));
}
auto
*
optimize_block
=
Attr
<
framework
::
BlockDesc
*>
(
kOptimizeBlock
);
auto
*
prefetch_block
=
Attr
<
framework
::
BlockDesc
*>
(
kPrefetchBlock
);
auto
*
program
=
optimize_block
->
Program
();
size_t
num_blocks
=
program
->
Size
();
PADDLE_ENFORCE_GE
(
num_blocks
,
2
,
"server program should have at least 2 blocks"
);
framework
::
Executor
executor
(
dev_place
);
std
::
vector
<
int
>
block_list
;
for
(
size_t
blkid
=
1
;
blkid
<
num_blocks
;
++
blkid
)
{
if
(
blkid
!=
static_cast
<
size_t
>
(
prefetch_block
->
ID
()))
{
block_list
.
push_back
(
blkid
);
}
}
auto
optimize_prepared
=
executor
.
Prepare
(
*
program
,
block_list
);
// Insert placeholder for block0 which holds current op itself.
optimize_prepared
.
insert
(
optimize_prepared
.
begin
(),
std
::
shared_ptr
<
framework
::
ExecutorPrepareContext
>
(
nullptr
));
rpc_service_
->
SetScope
(
&
recv_scope
);
rpc_service_
->
SetDevCtx
(
&
dev_ctx
);
// TODO(qiao) set proper fields for table lookup and update
rpc_service_
->
SetExecutor
(
&
executor
);
VLOG
(
3
)
<<
"prefetch block id is "
<<
prefetch_block
->
ID
();
auto
prefetch_prepared
=
executor
.
Prepare
(
*
program
,
prefetch_block
->
ID
());
rpc_service_
->
SetPrefetchPreparedCtx
(
prefetch_prepared
.
get
());
prefetch_prepared
.
release
();
rpc_service_
->
SetProgram
(
program
);
// start the server listening after all member initialized.
server_thread_
.
reset
(
new
std
::
thread
(
RunServer
,
rpc_service_
));
VLOG
(
3
)
<<
"wait server thread to become ready..."
;
sleep
(
5
);
// Write to a file of server selected port for python use.
std
::
ofstream
port_file
;
port_file
.
open
(
"/tmp/paddle.selected_port"
);
port_file
<<
rpc_service_
->
GetSelectedPort
();
port_file
.
close
();
bool
exit_flag
=
false
;
// Record received sparse variables, so that
// we could reset those after execute optimize program
std
::
vector
<
framework
::
Variable
*>
sparse_vars
;
while
(
!
exit_flag
)
{
const
detail
::
ReceivedMessage
v
=
rpc_service_
->
Get
();
auto
recv_var_name
=
v
.
first
;
if
(
recv_var_name
==
LISTEN_TERMINATE_MESSAGE
)
{
LOG
(
INFO
)
<<
"received terminate message and exit"
;
exit_flag
=
true
;
break
;
}
else
{
VLOG
(
3
)
<<
"received grad: "
<<
recv_var_name
;
auto
var
=
v
.
second
->
GetVar
();
if
(
var
==
nullptr
)
{
LOG
(
ERROR
)
<<
"Can not find server side var: "
<<
recv_var_name
;
PADDLE_THROW
(
"Can not find server side var"
);
}
if
(
var
->
IsType
<
framework
::
SelectedRows
>
())
{
sparse_vars
.
push_back
(
var
);
}
AsyncExecuteBlock
();
}
if
(
exit_flag
)
{
rpc_service_
->
ShutDown
();
break
;
}
// NOTE: if is_gpu_place, CUDA kernels are launched by multiple threads
// and this will still work.
// The optimize blocks which have the same parent ID would run parallel
// TODO(Yancey1989): need to use ParallelExecutor for future
int32_t
last_parent_blkid
=
program
->
Block
(
1
).
Parent
();
VLOG
(
2
)
<<
"run all blocks spent "
<<
detail
::
GetTimestamp
()
-
ts
<<
"(ms)"
;
// Reset the received sparse variables, the sum operator would not
// sum the input sparse variables which rows is empty at the next
// mini-batch.
// TODO(Yancey1989): move the reset action into an operator, we couldn't
// have any hide logic in the operator.
for
(
auto
&
var
:
sparse_vars
)
{
var
->
GetMutable
<
framework
::
SelectedRows
>
()
->
mutable_rows
()
->
clear
();
}
// FIXME(typhoonzero): use another condition to sync wait clients get.
sparse_vars
.
clear
();
}
// while(true)
}
class
AsyncListenAndServOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
AsyncListenAndServOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"(Tensor) Variables that server recv."
).
AsDuplicable
();
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
<
framework
::
BlockDesc
*>
(
kPrefetchBlock
,
"prefetch block to run on server side."
);
AddAttr
<
int
>
(
"Fanin"
,
"How many clients send to this server."
)
.
SetDefault
(
1
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
async_listen_and_serv
,
ops
::
AsyncListenAndServOp
,
ops
::
AsyncListenAndServOpMaker
);
paddle/fluid/operators/async_listen_and_serv_op.h
0 → 100644
浏览文件 @
79a1a7cd
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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. */
#pragma once
#include <stdint.h>
#include <ostream>
#include <string>
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/threadpool.h"
#include "paddle/fluid/operators/detail/async_grpc_server.h"
namespace
paddle
{
namespace
operators
{
constexpr
char
kOptimizeBlock
[]
=
"OptimizeBlock"
;
constexpr
char
kPrefetchBlock
[]
=
"PrefetchBlock"
;
void
RunServer
(
std
::
shared_ptr
<
detail
::
SyncGRPCServer
>
service
);
class
AsyncListenAndServOp
:
public
framework
::
OperatorBase
{
public:
AsyncListenAndServOp
(
const
std
::
string
&
type
,
const
framework
::
VariableNameMap
&
inputs
,
const
framework
::
VariableNameMap
&
outputs
,
const
framework
::
AttributeMap
&
attrs
);
int
GetSelectedPort
()
const
;
void
Stop
()
override
;
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
;
protected:
mutable
std
::
shared_ptr
<
detail
::
SyncGRPCServer
>
rpc_service_
;
mutable
std
::
shared_ptr
<
std
::
thread
>
server_thread_
;
};
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/detail/CMakeLists.txt
浏览文件 @
79a1a7cd
if
(
WITH_DISTRIBUTE
)
if
(
WITH_DISTRIBUTE
)
grpc_library
(
sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc
grpc_library
(
sendrecvop_grpc SRCS bytebuffer_stream.cc sendrecvop_utils.cc grpc_client.cc
grpc_server.cc variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows
)
grpc_server.cc
async_grpc_server.cc
variable_response.cc PROTO send_recv.proto DEPS lod_tensor selected_rows
)
set
(
DISTRIBUTE_COMPILE_FLAGS
"-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor"
)
set
(
DISTRIBUTE_COMPILE_FLAGS
"-Wno-non-virtual-dtor -Wno-error=non-virtual-dtor -Wno-error=delete-non-virtual-dtor"
)
set_source_files_properties
(
serde_test.cc grpc_server_test.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
set_source_files_properties
(
serde_test.cc grpc_server_test.cc PROPERTIES COMPILE_FLAGS
${
DISTRIBUTE_COMPILE_FLAGS
}
)
cc_test
(
serde_test SRCS serde_test.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr
cc_test
(
serde_test SRCS serde_test.cc variable_response.cc DEPS grpc++_unsecure grpc_unsecure gpr
...
...
paddle/fluid/operators/detail/async_grpc_server.cc
0 → 100644
浏览文件 @
79a1a7cd
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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 "paddle/fluid/operators/detail/async_grpc_server.h"
#include <limits>
#include <string>
using
::
grpc
::
ServerAsyncResponseWriter
;
namespace
paddle
{
namespace
operators
{
namespace
detail
{
enum
CallStatus
{
PROCESS
=
0
,
FINISH
};
// reference:
// https://stackoverflow.com/questions/41732884/grpc-multiple-services-in-cpp-async-server
class
RequestBase
{
public:
explicit
RequestBase
(
GrpcService
::
AsyncService
*
service
,
::
grpc
::
ServerCompletionQueue
*
cq
,
const
platform
::
DeviceContext
*
dev_ctx
)
:
service_
(
service
),
cq_
(
cq
),
status_
(
PROCESS
),
dev_ctx_
(
dev_ctx
)
{
PADDLE_ENFORCE
(
cq_
);
}
virtual
~
RequestBase
()
{}
virtual
void
Process
()
{
assert
(
false
);
}
CallStatus
Status
()
{
return
status_
;
}
void
SetStatus
(
CallStatus
status
)
{
status_
=
status
;
}
virtual
std
::
string
GetReqName
()
{
assert
(
false
);
return
""
;
}
protected:
::
grpc
::
ServerContext
ctx_
;
GrpcService
::
AsyncService
*
service_
;
::
grpc
::
ServerCompletionQueue
*
cq_
;
CallStatus
status_
;
const
platform
::
DeviceContext
*
dev_ctx_
;
};
class
RequestSend
final
:
public
RequestBase
{
public:
explicit
RequestSend
(
GrpcService
::
AsyncService
*
service
,
::
grpc
::
ServerCompletionQueue
*
cq
,
framework
::
Scope
*
scope
,
ReceivedQueue
*
queue
,
const
platform
::
DeviceContext
*
dev_ctx
)
:
RequestBase
(
service
,
cq
,
dev_ctx
),
queue_
(
queue
),
responder_
(
&
ctx_
)
{
request_
.
reset
(
new
VariableResponse
(
scope
,
dev_ctx_
));
int
method_id
=
static_cast
<
int
>
(
detail
::
GrpcMethod
::
kSendVariable
);
service_
->
RequestAsyncUnary
(
method_id
,
&
ctx_
,
request_
.
get
(),
&
responder_
,
cq_
,
cq_
,
this
);
}
virtual
~
RequestSend
()
{}
virtual
std
::
string
GetReqName
()
{
return
request_
->
Varname
();
}
virtual
void
Process
()
{
queue_
->
Push
(
std
::
make_pair
(
request_
->
Varname
(),
request_
));
sendrecv
::
VoidMessage
reply
;
responder_
.
Finish
(
reply
,
::
grpc
::
Status
::
OK
,
this
);
status_
=
FINISH
;
}
protected:
std
::
shared_ptr
<
VariableResponse
>
request_
;
ReceivedQueue
*
queue_
;
ServerAsyncResponseWriter
<
sendrecv
::
VoidMessage
>
responder_
;
};
class
RequestGet
final
:
public
RequestBase
{
public:
explicit
RequestGet
(
GrpcService
::
AsyncService
*
service
,
::
grpc
::
ServerCompletionQueue
*
cq
,
framework
::
Scope
*
scope
,
const
platform
::
DeviceContext
*
dev_ctx
)
:
RequestBase
(
service
,
cq
,
dev_ctx
),
responder_
(
&
ctx_
),
scope_
(
scope
)
{
int
method_id
=
static_cast
<
int
>
(
detail
::
GrpcMethod
::
kGetVariable
);
service_
->
RequestAsyncUnary
(
method_id
,
&
ctx_
,
&
request_
,
&
responder_
,
cq_
,
cq_
,
this
);
}
virtual
~
RequestGet
()
{}
virtual
std
::
string
GetReqName
()
{
return
request_
.
varname
();
}
virtual
void
Process
()
{
// proc request.
std
::
string
var_name
=
request_
.
varname
();
auto
*
var
=
scope_
->
FindVar
(
var_name
);
::
grpc
::
ByteBuffer
reply
;
SerializeToByteBuffer
(
var_name
,
var
,
*
dev_ctx_
,
&
reply
);
responder_
.
Finish
(
reply
,
::
grpc
::
Status
::
OK
,
this
);
status_
=
FINISH
;
}
protected:
sendrecv
::
VariableMessage
request_
;
ServerAsyncResponseWriter
<::
grpc
::
ByteBuffer
>
responder_
;
framework
::
Scope
*
scope_
;
};
class
RequestPrefetch
final
:
public
RequestBase
{
public:
explicit
RequestPrefetch
(
GrpcService
::
AsyncService
*
service
,
::
grpc
::
ServerCompletionQueue
*
cq
,
framework
::
Scope
*
scope
,
const
platform
::
DeviceContext
*
dev_ctx
,
framework
::
Executor
*
executor
,
framework
::
ProgramDesc
*
program
,
framework
::
ExecutorPrepareContext
*
prefetch_ctx
)
:
RequestBase
(
service
,
cq
,
dev_ctx
),
responder_
(
&
ctx_
),
scope_
(
scope
),
executor_
(
executor
),
program_
(
program
),
prefetch_ctx_
(
prefetch_ctx
)
{
request_
.
reset
(
new
VariableResponse
(
scope
,
dev_ctx_
));
int
method_id
=
static_cast
<
int
>
(
detail
::
GrpcMethod
::
kPrefetchVariable
);
service_
->
RequestAsyncUnary
(
method_id
,
&
ctx_
,
request_
.
get
(),
&
responder_
,
cq_
,
cq_
,
this
);
}
virtual
~
RequestPrefetch
()
{}
virtual
std
::
string
GetReqName
()
{
return
request_
->
Varname
();
}
virtual
void
Process
()
{
// prefetch process...
::
grpc
::
ByteBuffer
reply
;
std
::
string
var_name
=
request_
->
OutVarname
();
VLOG
(
3
)
<<
"prefetch var "
<<
var_name
;
auto
var_desc
=
program_
->
Block
(
0
).
FindVar
(
var_name
);
framework
::
Scope
*
local_scope
=
&
scope_
->
NewScope
();
auto
*
var
=
local_scope
->
FindVar
(
var_name
);
InitializeVariable
(
var
,
var_desc
->
GetType
());
executor_
->
RunPreparedContext
(
prefetch_ctx_
,
scope_
,
false
,
false
);
SerializeToByteBuffer
(
var_name
,
var
,
*
dev_ctx_
,
&
reply
);
responder_
.
Finish
(
reply
,
::
grpc
::
Status
::
OK
,
this
);
status_
=
FINISH
;
}
protected:
std
::
shared_ptr
<
VariableResponse
>
request_
;
ServerAsyncResponseWriter
<::
grpc
::
ByteBuffer
>
responder_
;
framework
::
Scope
*
scope_
;
framework
::
Executor
*
executor_
;
framework
::
ProgramDesc
*
program_
;
framework
::
ExecutorPrepareContext
*
prefetch_ctx_
;
};
void
SyncGRPCServer
::
RunAsyncUpdate
()
{
::
grpc
::
ServerBuilder
builder
;
builder
.
AddListeningPort
(
address_
,
::
grpc
::
InsecureServerCredentials
(),
&
selected_port_
);
builder
.
SetMaxSendMessageSize
(
std
::
numeric_limits
<
int
>::
max
());
builder
.
SetMaxReceiveMessageSize
(
std
::
numeric_limits
<
int
>::
max
());
builder
.
RegisterService
(
&
service_
);
cq_send_
=
builder
.
AddCompletionQueue
();
cq_get_
=
builder
.
AddCompletionQueue
();
cq_prefetch_
=
builder
.
AddCompletionQueue
();
server_
=
builder
.
BuildAndStart
();
LOG
(
INFO
)
<<
"Server listening on "
<<
address_
<<
" selected port: "
<<
selected_port_
;
std
::
function
<
void
()
>
send_register
=
std
::
bind
(
&
SyncGRPCServer
::
TryToRegisterNewSendOne
,
this
);
std
::
function
<
void
()
>
get_register
=
std
::
bind
(
&
SyncGRPCServer
::
TryToRegisterNewGetOne
,
this
);
std
::
function
<
void
()
>
prefetch_register
=
std
::
bind
(
&
SyncGRPCServer
::
TryToRegisterNewPrefetchOne
,
this
);
// TODO(wuyi): Run these "HandleRequest" in thread pool
t_send_
.
reset
(
new
std
::
thread
(
std
::
bind
(
&
SyncGRPCServer
::
HandleRequest
,
this
,
cq_send_
.
get
(),
"cq_send"
,
send_register
)));
t_get_
.
reset
(
new
std
::
thread
(
std
::
bind
(
&
SyncGRPCServer
::
HandleRequest
,
this
,
cq_get_
.
get
(),
"cq_get"
,
get_register
)));
t_prefetch_
.
reset
(
new
std
::
thread
(
std
::
bind
(
&
SyncGRPCServer
::
HandleRequest
,
this
,
cq_prefetch_
.
get
(),
"cq_prefetch"
,
prefetch_register
)));
// wait server
server_
->
Wait
();
t_send_
->
join
();
t_get_
->
join
();
t_prefetch_
->
join
();
}
void
SyncGRPCServer
::
ShutdownQueue
()
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
cq_mutex_
);
cq_send_
->
Shutdown
();
cq_get_
->
Shutdown
();
cq_prefetch_
->
Shutdown
();
}
// This URL explains why shutdown is complicate:
void
SyncGRPCServer
::
ShutDown
()
{
is_shut_down_
=
true
;
ShutdownQueue
();
server_
->
Shutdown
();
}
void
SyncGRPCServer
::
TryToRegisterNewSendOne
()
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
cq_mutex_
);
if
(
is_shut_down_
)
{
VLOG
(
3
)
<<
"shutdown, do not TryToRegisterNewSendOne"
;
return
;
}
RequestSend
*
send
=
new
RequestSend
(
&
service_
,
cq_send_
.
get
(),
scope_
,
&
var_recv_queue_
,
dev_ctx_
);
VLOG
(
4
)
<<
"Create RequestSend status:"
<<
send
->
Status
();
}
void
SyncGRPCServer
::
TryToRegisterNewGetOne
()
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
cq_mutex_
);
if
(
is_shut_down_
)
{
VLOG
(
3
)
<<
"shutdown, do not TryToRegisterNewGetOne"
;
return
;
}
RequestGet
*
get
=
new
RequestGet
(
&
service_
,
cq_get_
.
get
(),
scope_
,
dev_ctx_
);
VLOG
(
4
)
<<
"Create RequestGet status:"
<<
get
->
Status
();
}
void
SyncGRPCServer
::
TryToRegisterNewPrefetchOne
()
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
cq_mutex_
);
if
(
is_shut_down_
)
{
VLOG
(
3
)
<<
"shutdown, do not TryToRegisterNewPrefetchOne"
;
return
;
}
RequestPrefetch
*
prefetch
=
new
RequestPrefetch
(
&
service_
,
cq_prefetch_
.
get
(),
scope_
,
dev_ctx_
,
executor_
,
program_
,
prefetch_ctx_
);
VLOG
(
4
)
<<
"Create RequestPrefetch status:"
<<
prefetch
->
Status
();
}
void
SyncGRPCServer
::
HandleRequest
(
::
grpc
::
ServerCompletionQueue
*
cq
,
const
std
::
string
&
cq_name
,
std
::
function
<
void
()
>
TryToRegisterNewOne
)
{
TryToRegisterNewOne
();
void
*
tag
=
NULL
;
bool
ok
=
false
;
while
(
true
)
{
VLOG
(
3
)
<<
"HandleRequest for "
<<
cq_name
<<
" while in"
;
if
(
!
cq
->
Next
(
&
tag
,
&
ok
))
{
LOG
(
INFO
)
<<
cq_name
<<
" CompletionQueue shutdown!"
;
break
;
}
VLOG
(
3
)
<<
"HandleRequest for "
<<
cq_name
<<
" while after Next"
;
PADDLE_ENFORCE
(
tag
);
RequestBase
*
base
=
reinterpret_cast
<
RequestBase
*>
(
tag
);
// reference:
// https://github.com/tensorflow/tensorflow/issues/5596
// https://groups.google.com/forum/#!topic/grpc-io/xftlRy-IQwM
// https://groups.google.com/forum/#!topic/grpc-io/ywATt88Ef_I
if
(
!
ok
)
{
LOG
(
WARNING
)
<<
cq_name
<<
" recv no regular event:argument name["
<<
base
->
GetReqName
()
<<
"]"
;
TryToRegisterNewOne
();
delete
base
;
continue
;
}
switch
(
base
->
Status
())
{
case
PROCESS
:
{
VLOG
(
4
)
<<
cq_name
<<
" status:"
<<
base
->
Status
();
TryToRegisterNewOne
();
base
->
Process
();
break
;
}
case
FINISH
:
{
VLOG
(
4
)
<<
cq_name
<<
" status:"
<<
base
->
Status
();
delete
base
;
break
;
}
default:
{
assert
(
false
);
}
}
}
}
}
// namespace detail
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/detail/async_grpc_server.h
0 → 100644
浏览文件 @
79a1a7cd
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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. */
#pragma once
#include <string>
#include <thread> // NOLINT
#include <utility>
#include "grpc++/grpc++.h"
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/selected_rows.h"
#include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/operators/detail/grpc_service.h"
#include "paddle/fluid/operators/detail/send_recv.grpc.pb.h"
#include "paddle/fluid/operators/detail/send_recv.pb.h"
#include "paddle/fluid/operators/detail/sendrecvop_utils.h"
#include "paddle/fluid/operators/detail/simple_block_queue.h"
namespace
paddle
{
namespace
operators
{
namespace
detail
{
typedef
std
::
pair
<
std
::
string
,
std
::
shared_ptr
<
VariableResponse
>>
ReceivedMessage
;
typedef
SimpleBlockQueue
<
ReceivedMessage
>
ReceivedQueue
;
typedef
std
::
pair
<
std
::
string
,
sendrecv
::
VariableMessage
>
MessageWithName
;
class
RequestBase
;
class
SyncGRPCServer
final
{
public:
explicit
SyncGRPCServer
(
const
std
::
string
&
address
)
:
address_
(
address
)
{}
void
RunAsyncUpdate
();
void
SetScope
(
framework
::
Scope
*
scope
)
{
scope_
=
scope
;
}
void
SetDevCtx
(
const
platform
::
DeviceContext
*
dev_ctx
)
{
dev_ctx_
=
dev_ctx
;
}
void
SetProgram
(
framework
::
ProgramDesc
*
program
)
{
program_
=
program
;
}
void
SetExecutor
(
framework
::
Executor
*
executor
)
{
executor_
=
executor
;
}
void
SetPrefetchPreparedCtx
(
framework
::
ExecutorPrepareContext
*
prepared
)
{
prefetch_ctx_
=
prepared
;
}
int
GetSelectedPort
()
{
return
selected_port_
;
}
const
ReceivedMessage
Get
()
{
return
this
->
var_recv_queue_
.
Pop
();
}
void
Push
(
const
std
::
string
&
msg_name
)
{
this
->
var_recv_queue_
.
Push
(
std
::
make_pair
(
msg_name
,
nullptr
));
}
void
ShutDown
();
protected:
void
HandleRequest
(
::
grpc
::
ServerCompletionQueue
*
cq
,
const
std
::
string
&
cq_name
,
std
::
function
<
void
()
>
TryToRegisterNewOne
);
void
TryToRegisterNewSendOne
();
void
TryToRegisterNewGetOne
();
void
TryToRegisterNewPrefetchOne
();
void
ShutdownQueue
();
private:
std
::
mutex
cq_mutex_
;
volatile
bool
is_shut_down_
=
false
;
std
::
unique_ptr
<::
grpc
::
ServerCompletionQueue
>
cq_send_
;
std
::
unique_ptr
<::
grpc
::
ServerCompletionQueue
>
cq_get_
;
std
::
unique_ptr
<::
grpc
::
ServerCompletionQueue
>
cq_prefetch_
;
GrpcService
::
AsyncService
service_
;
std
::
unique_ptr
<::
grpc
::
Server
>
server_
;
std
::
string
address_
;
framework
::
Scope
*
scope_
;
const
platform
::
DeviceContext
*
dev_ctx_
;
// client send variable to this queue.
ReceivedQueue
var_recv_queue_
;
std
::
unique_ptr
<
std
::
thread
>
t_send_
;
std
::
unique_ptr
<
std
::
thread
>
t_get_
;
std
::
unique_ptr
<
std
::
thread
>
t_prefetch_
;
framework
::
ExecutorPrepareContext
*
prefetch_ctx_
;
framework
::
ProgramDesc
*
program_
;
framework
::
Executor
*
executor_
;
int
selected_port_
;
};
};
// namespace detail
};
// namespace operators
};
// namespace paddle
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