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48634555
编写于
7月 31, 2018
作者:
X
Xin Pan
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paddle/fluid/operators/distributed/send_recv.proto
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/* 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. */
syntax
=
"proto3"
;
package
sendrecv
;
option
cc_generic_services
=
false
;
service
SendRecvService
{
// For parameter server round-robin like hashing, do not split tensors.
// Send and recv only one tensor
// TODO(typhoonzero): add streaming API
rpc
SendVariable
(
VariableMessage
)
returns
(
VoidMessage
)
{}
// Argument VariableMessage for GetVariable should only contain varname.
rpc
GetVariable
(
VariableMessage
)
returns
(
VariableMessage
)
{}
// pre-fetch variable by given variable name and Ids
rpc
PrefetchVariable
(
VariableMessage
)
returns
(
VariableMessage
)
{}
rpc
CheckpointNotify
(
VariableMessage
)
returns
(
VoidMessage
)
{}
}
// VariableMessage is serialized paddle variable message.
// It can be:
// LoDTensor
// SelectedRows
enum
VarType
{
LOD_TENSOR
=
0
;
SELECTED_ROWS
=
1
;
NCCL_ID
=
2
;
}
// NOTICE(gongwb):don't modify this proto if you are not
// not familar with how we serialize in sendrecvop_utils.h
// and deserilize it in variable_response.h.
message
VariableMessage
{
enum
Type
{
// Pod Types
BOOL
=
0
;
INT16
=
1
;
INT32
=
2
;
INT64
=
3
;
FP16
=
4
;
FP32
=
5
;
FP64
=
6
;
}
message
LodData
{
repeated
int64
lod_data
=
1
;
}
string
varname
=
1
;
// TODO(Yancey1989): reference framework::proto::VarDesc::VarType
VarType
type
=
2
;
// bool persistable is not needed for sending.
// tensor info:
Type
data_type
=
3
;
repeated
int64
dims
=
4
;
// lod details:
int64
lod_level
=
5
;
repeated
LodData
lod
=
6
;
// selected_rows height, aka. original dim0
int64
slr_height
=
7
;
// tensor data
bytes
serialized
=
8
;
// selected_rows data
bytes
rows
=
9
;
// Look up table block execution output variable name.
string
out_varname
=
10
;
// If 1, the ps server will start profiling, the ps
// server stops profiling and generates a profile to /tmp/profile_ps_*
// when profile switches from 1 to 2.
int64
profile
=
11
;
}
message
VoidMessage
{}
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