trainer_desc.proto

/* Copyright (c) 2018 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. */

syntax = "proto2";
import "data_feed.proto";
package paddle.framework;

message TrainerDesc {
  // class name for create trainer desc
  // the matchness of trainer name and device worker name
  // will be checked in python API
  optional string class_name = 1;
  // class name for creating device worker
  optional string device_worker_name = 2;
  // thread number
  optional int32 thread_num = 3;
  // if we need to binding cpu
  optional bool binding_cpu = 4 [ default = false ];
  repeated string filelist = 5;

  // device worker parameters
  optional HogwildWorkerParameter hogwild_param = 101;
  optional DownpourWorkerParameter downpour_param = 103;
  optional PullDenseWorkerParameter pull_dense_param = 102;
  // datafeed desc
  optional DataFeedDesc data_desc = 201;
}

message HogwildWorkerParameter {}

message DownpourWorkerParameter {
  repeated TableParameter sparse_table = 1;
  repeated TableParameter dense_table = 2;
  repeated string skip_ops = 3;
  optional string label_var_name = 4;
}

message PullDenseWorkerParameter {
  // dense table only and specialized usage
  optional int32 threshold = 1 [ default = 1 ];
  optional int32 device_num = 2;
  optional int32 sleep_time_ms = 3 [ default = 2 ];
  repeated TableParameter dense_table = 4;
}

message TableParameter {
  // dense table only
  optional int64 table_id = 1;
  repeated string dense_value_name = 2;
  repeated string dense_grad_name = 3;
  repeated int32 dense_table_size = 4;
  repeated int32 push_dense_wait_times = 5;
  // sparse table only
  repeated string sparse_key_name = 6;
  repeated string sparse_value_name = 7;
  repeated string sparse_grad_name = 8;
  repeated int32 push_sparse_wait_times = 9;
  // sparse table only and specialized usage
  optional int32 emb_dim = 10;
  optional int32 fea_dim = 11;
  optional string label_var_name = 12;
}