/* 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";
package paddle.framework;

message Slot {
  required string name = 1;
  required string type = 2;
  optional bool is_dense = 3 [ default = false ];
  optional bool is_used = 4 [ default = false ];
  repeated int32 shape = 5; // we can define N-D phi::DenseTensor
}

message MultiSlotDesc {
  repeated Slot slots = 1;
  optional string uid_slot = 2;
}

message GraphConfig {
  optional int32 walk_degree = 1 [ default = 1 ];
  optional int32 walk_len = 2 [ default = 20 ];
  optional int32 window = 3 [ default = 5 ];
  optional int32 once_sample_startid_len = 4 [ default = 8000 ];
  optional int32 sample_times_one_chunk = 5 [ default = 10 ];
  optional int32 batch_size = 6 [ default = 1 ];
  optional int32 debug_mode = 7 [ default = 0 ];
  optional string first_node_type = 8;
  optional string meta_path = 9;
  optional bool gpu_graph_training = 10 [ default = true ];
}

message DataFeedDesc {
  optional string name = 1;
  optional int32 batch_size = 2 [ default = 32 ];
  optional MultiSlotDesc multi_slot_desc = 3;
  optional string pipe_command = 4;
  optional int32 thread_num = 5;
  optional string rank_offset = 6;
  optional int32 pv_batch_size = 7 [ default = 32 ];
  optional int32 input_type = 8 [ default = 0 ];
  optional string so_parser_name = 9;
  optional GraphConfig graph_config = 10;
}
