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";
option optimize_for = LITE_RUNTIME;
import "data_feed.proto";
import "framework.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;
  optional bool debug = 6 [ default = false ];
  optional FetchConfig fetch_config = 7;
  optional bool use_cvm = 8 [ default = false ];
  optional bool dump_slot = 9 [ default = false ];
  optional float scale_datanorm = 10 [ default = -1 ];

  // device worker parameters
  optional HogwildWorkerParameter hogwild_param = 101;
  optional DownpourWorkerParameter downpour_param = 103;
  optional PullDenseWorkerParameter pull_dense_param = 102;
  optional SectionWorkerParameter section_param = 104;
  // datafeed desc
  optional DataFeedDesc data_desc = 201;
}

message HogwildWorkerParameter { repeated string skip_ops = 1; }

message DownpourWorkerParameter {
  repeated TableParameter sparse_table = 1;
  repeated TableParameter dense_table = 2;
  repeated string skip_ops = 3;
  repeated ProgramConfig program_config = 4;
  optional bool push_sparse = 5 [ default = true ];
  optional bool push_dense = 6 [ default = true ];
}

message SectionWorkerParameter {
  repeated SectionConfig section_config = 1;
  optional int32 queue_size = 2 [ default = 1 ];
  optional int64 sync_steps = 3 [ default = 1 ];
  optional int32 start_cpu_core_id = 4 [ default = 1 ];
  repeated string param_need_sync = 5;
}

message SectionConfig {
  enum Place {
    CPUPlace = 0;
    CUDAPlace = 1;
    CUDAPinnedPlace = 2;
  }

  // FIXME: How to use proto::ProgramDesc
  // required string program_desc_str = 1;
  optional proto.ProgramDesc program_desc = 1;
  optional Place place = 2;
  optional int32 concurrency = 3 [ default = 1 ];
  repeated string section_in_var_names = 4;
  repeated string section_out_var_names = 5;
}

message FetchConfig {
  enum Method { PRINT = 0; }
  repeated string fetch_var_names = 1;
  repeated string fetch_var_str_format = 2;
  optional int32 print_period = 3 [ default = 100 ];
  optional Method method = 4 [ default = PRINT ];
}

message ProgramConfig {
  required string program_id = 1;
  repeated int32 push_sparse_table_id = 2;
  repeated int32 push_dense_table_id = 3;
  repeated int32 pull_sparse_table_id = 4;
  repeated int32 pull_dense_table_id = 5;
}

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 uint64 table_id = 1;
  repeated string dense_value_name = 2;
  repeated string dense_grad_name = 3;
  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;
}