// 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 = "proto2"; package baidu.paddle_serving.configure; message EngineDesc { required string name = 1; required string type = 2; required string reloadable_meta = 3; required string reloadable_type = 4; required string model_dir = 5; repeated int32 gpu_ids = 6; optional string version_file = 7; optional string version_type = 8; /* * Sparse Parameter Service type. Valid types are: * "None": not use sparse parameter service * "Local": Use local kv service (rocksdb library & API) * "Remote": Use remote kv service (cube) */ enum SparseParamServiceType { NONE = 0; LOCAL = 1; REMOTE = 2; } optional SparseParamServiceType sparse_param_service_type = 10; optional string sparse_param_service_table_name = 11; optional bool enable_memory_optimization = 12; optional bool enable_ir_optimization = 13; optional bool use_trt = 14; optional bool use_lite = 15; optional bool use_xpu = 16; optional bool use_gpu = 17; optional bool combined_model = 18; optional bool encrypted_model = 19; optional bool gpu_multi_stream = 20; optional bool use_ascend_cl = 21; /* * "runtime_thread_num": n == 0 means don`t use Asynchronous task scheduling * mode. * n > 0 means how many Predictor for this engine in Asynchronous task * scheduling mode. * "batch_infer_size": the max batch for this engine in Asynchronous task * scheduling mode. * "enable_overrun": always put a whole task into the TaskQueue even if the * total batch is bigger than "batch_infer_size". * "allow_split_request": allow to split task(which is corresponding to * request). */ optional int32 runtime_thread_num = 30 [ default = 0 ]; optional int32 batch_infer_size = 31 [ default = 32 ]; optional bool enable_overrun = 32 [ default = false ]; optional bool allow_split_request = 33 [ default = true ]; }; // model_toolkit conf message ModelToolkitConf { repeated EngineDesc engines = 1; }; // reource conf message ResourceConf { repeated string model_toolkit_path = 1; repeated string model_toolkit_file = 2; repeated string general_model_path = 3; repeated string general_model_file = 4; optional string cube_config_path = 10; optional string cube_config_file = 11; optional int32 cube_quant_bits = 12; optional string cube_cache_path = 13; optional string auth_product_name = 20; optional string auth_container_id = 21; }; // DAG node depency info message DAGNodeDependency { required string name = 1; required string mode = 2; }; // DAG Node message DAGNode { required string name = 1; required string type = 2; repeated DAGNodeDependency dependencies = 3; }; // workflow entry message Workflow { required string name = 1; required string workflow_type = 2; repeated DAGNode nodes = 3; }; // Workflow conf message WorkflowConf { repeated Workflow workflows = 1; } // request_field_key: specifies use which request field as mapping key (see // request_field_key in InferService below) // // If the value of the user request field specified by `request_field_key` // matches the value of `request_field_value` in one of the // ValueMappedWorkflows, the request will be directed to the workflow specified // in the `workflow` field of that ValueMappedWorkflow // message ValueMappedWorkflow { required string request_field_value = 1; required string workflow = 2; }; message InferService { required string name = 1; optional string merger = 2; optional bool enable_map_request_to_workflow = 3 [ default = false ]; // If enable_map_request_to_workfow = true // // Each request will be mapped to a workflow according to the value in // in user request field specified by `request_field_key` (see the // comments for ValueMappedWorkflow above) optional string request_field_key = 4; repeated ValueMappedWorkflow value_mapped_workflows = 5; // If enable_map_request_to_workflow = false repeated string workflows = 6; }; // InferService conf message InferServiceConf { optional uint32 port = 1; repeated InferService services = 2; };