/* 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 = @cc_generic_services@;

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;
  int64 trainer_id = 12;
}

message VoidMessage {}