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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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syntax = "proto2";
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package paddle;
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/**
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* Configuration structure for ParameterClient2.
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*/
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message ParameterClientConfig { required int32 trainer_id = 1; }
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/**
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* Configuration structure for ParameterServer2.
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*/
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message ParameterServerConfig {
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// Number of ports for sending dense parameter,
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// following ports on parameter server will be visited
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// for sending dense parameter: [port, port+ports_num-1]
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required int32 ports_num = 1 [ default = 1 ];
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// Number of ports for sending sparse parameter,
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// following ports on parameter server will be visited
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// for sending sparse parameter:
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// [port+ports_num, port+ports_num+ports_num_for_sparse-1]
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required int32 ports_num_for_sparse = 2 [ default = 0 ];
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// network device name for pservers
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required string nics = 3 [ default = "xgbe0,xgbe1" ];
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required string rdma_tcp = 4 [ default = "tcp" ];
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// Listening port for pserver
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required int32 port = 5 [ default = 20134 ];
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// number of gradient servers
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required int32 num_gradient_servers = 6 [ default = 1 ];
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// number of threads for sync op exec
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required int32 pserver_num_threads = 7 [ default = 1 ];
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// control config_.async_lagged_grad_discard_ratio() min value
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required double async_lagged_ratio_min = 8 [ default = 1.0 ];
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// if async_lagged_grad_discard_ratio is not set in trainer_config.conf
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// use it as defalut value
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required double async_lagged_ratio_default = 9 [ default = 1.5 ];
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}
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