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* optimiza cpu usage on openvino backend conver the hint varible to string * update with affinity mode set-up --------- Co-authored-by: Ethan <yicheng@intel.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
102 lines
2.9 KiB
C++
102 lines
2.9 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_type.h"
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#include <iostream>
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#include <memory>
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#include <string>
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#include <vector>
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#include <map>
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#include <set>
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namespace fastdeploy {
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/*! @brief Option object to configure OpenVINO backend
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*/
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struct OpenVINOBackendOption {
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std::string device = "CPU";
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int cpu_thread_num = -1;
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/// Number of streams while use OpenVINO
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int num_streams = 1;
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/// Affinity mode
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std::string affinity = "YES";
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/// Performance hint mode
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std::string hint = "UNDEFINED";
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/**
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* @brief Set device name for OpenVINO, default 'CPU', can also be 'AUTO', 'GPU', 'GPU.1'....
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*/
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void SetDevice(const std::string& name = "CPU") {
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device = name;
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}
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/**
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* @brief Set shape info for OpenVINO
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*/
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void SetShapeInfo(
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const std::map<std::string, std::vector<int64_t>>& _shape_infos) {
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shape_infos = _shape_infos;
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}
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/**
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* @brief While use OpenVINO backend with intel GPU, use this interface to specify operators run on CPU
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*/
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void SetCpuOperators(const std::vector<std::string>& operators) {
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for (const auto& op : operators) {
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cpu_operators.insert(op);
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}
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}
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/**
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* @brief Set Affinity mode
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*/
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void SetAffinity (const std::string& _affinity) {
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FDASSERT(_affinity == "YES" || _affinity == "NO" || _affinity == "NUMA" ||
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_affinity == "HYBRID_AWARE",
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"The affinity mode should be one of the list "
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"['YES', 'NO', 'NUMA', "
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"'HYBRID_AWARE'] ");
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affinity = _affinity;
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}
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/**
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* @brief Set the Performance Hint
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*/
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void SetPerformanceHint (const std::string& _hint) {
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FDASSERT(_hint == "LATENCY" || _hint == "THROUGHPUT" ||
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_hint == "CUMULATIVE_THROUGHPUT" || _hint == "UNDEFINED",
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"The performance hint should be one of the list "
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"['LATENCY', 'THROUGHPUT', 'CUMULATIVE_THROUGHPUT', "
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"'UNDEFINED'] ");
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hint = _hint;
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}
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/**
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* @brief Set the number of streams
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*/
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void SetStreamNum (int _num_streams) {
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FDASSERT(_num_streams > 0, "The stream_num must be greater than 0.");
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num_streams = _num_streams;
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}
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std::map<std::string, std::vector<int64_t>> shape_infos;
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std::set<std::string> cpu_operators{"MulticlassNms"};
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};
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} // namespace fastdeploy
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