/* 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 = "proto2";

package paddle;

message ParameterClientConfig {
  required int32 trainer_id = 1;
}

message ParameterServerConfig {
  // The ports number for parameter send,
  // increment based on default port number
  required int32 ports_num = 1 [default = 1];
  // The ports number for parameter send,
  // increment based on default (port + ports_num
  required int32 ports_num_for_sparse = 2 [default = 0];
  // network device name for pservers
  required string nics = 3 [default = "xgbe0,xgbe1"];
  required string rdma_tcp = 4 [default = "tcp"];
  // Listening port for pserver
  required int32 port = 5 [default = 20134];
  // number of gradient servers
  required int32 num_gradient_servers = 6 [default = 1];
  // number of threads for sync op exec
  required int32 pserver_num_threads = 7 [default = 1];
  // control config_.async_lagged_grad_discard_ratio() min value
  required double async_lagged_ratio_min = 8 [default = 1.0];
  // if async_lagged_grad_discard_ratio is not set in trainer_config.conf
  // use it as defalut value
  required double async_lagged_ratio_default = 9 [default = 1.5];
}