// Copyright (c) 2019 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 = "proto3"; package baidu.paddle_serving.predictor.general_model; option java_multiple_files = true; message Tensor { // VarType: INT64 repeated int64 int64_data = 1; // VarType: FP32 repeated float float_data = 2; // VarType: INT32 repeated int32 int_data = 3; // VarType: FP64 repeated double float64_data = 4; // VarType: UINT32 repeated uint32 uint32_data = 5; // VarType: BOOL repeated bool bool_data = 6; // (No support)VarType: COMPLEX64, 2x represents the real part, 2x+1 // represents the imaginary part repeated float complex64_data = 7; // (No support)VarType: COMPLEX128, 2x represents the real part, 2x+1 // represents the imaginary part repeated double complex128_data = 8; // VarType: STRING repeated string data = 9; // Element types: // 0 => INT64 // 1 => FP32 // 2 => INT32 // 3 => FP64 // 4 => INT16 // 5 => FP16 // 6 => BF16 // 7 => UINT8 // 8 => INT8 // 9 => BOOL // 10 => COMPLEX64 // 11 => COMPLEX128 // 20 => STRING int32 elem_type = 10; // Shape of the tensor, including batch dimensions. repeated int32 shape = 11; // Level of data(LOD), support variable length data, only for fetch tensor // currently. repeated int32 lod = 12; // Correspond to the variable 'name' in the model description prototxt. string name = 13; // Correspond to the variable 'alias_name' in the model description prototxt. string alias_name = 14; // get from the Model prototxt // VarType: FP16, INT16, INT8, BF16, UINT8 bytes tensor_content = 15; }; message Request { repeated Tensor tensor = 1; repeated string fetch_var_names = 2; bool profile_server = 3; uint64 log_id = 4; }; message Response { repeated ModelOutput outputs = 1; repeated int64 profile_time = 2; bool profile_server = 3; uint64 log_id = 4; // Error code int32 err_no = 5; // Error messages string err_msg = 6; }; message ModelOutput { repeated Tensor tensor = 1; string engine_name = 2; } service GeneralModelService { rpc inference(Request) returns (Response); rpc debug(Request) returns (Response); };