mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 08:37:06 +08:00
47b1d27fbb
* add GPL lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * add GPL-3.0 lisence * support yolov8 * add pybind for yolov8 * add yolov8 readme * add cpp benchmark * add cpu and gpu mem * public part split * add runtime mode * fixed bugs * add cpu_thread_nums * deal with comments * deal with comments * deal with comments * rm useless code * add FASTDEPLOY_DECL * add FASTDEPLOY_DECL * fixed for windows * mv rss to pss * mv rss to pss * Update utils.cc * use thread to collect mem * Add ResourceUsageMonitor * rm useless code * fixed bug * fixed typo * update ResourceUsageMonitor * fixed bug * fixed bug * add note for ResourceUsageMonitor * deal with comments * add macros * deal with comments * deal with comments * deal with comments * re-lint --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
93 lines
3.2 KiB
C++
Executable File
93 lines
3.2 KiB
C++
Executable File
// Copyright (c) 2023 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/vision.h"
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static bool CreateRuntimeOption(fastdeploy::RuntimeOption* option) {
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if (FLAGS_profile_mode == "runtime") {
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option->EnableProfiling(FLAGS_include_h2d_d2h, FLAGS_repeat, FLAGS_warmup);
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}
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if (FLAGS_device == "gpu") {
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option->UseGpu(FLAGS_device_id);
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if (FLAGS_backend == "ort") {
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option->UseOrtBackend();
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} else if (FLAGS_backend == "paddle") {
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option->UsePaddleInferBackend();
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} else if (FLAGS_backend == "trt" || FLAGS_backend == "paddle_trt") {
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option->UseTrtBackend();
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if (FLAGS_backend == "paddle_trt") {
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option->EnablePaddleToTrt();
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}
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if (FLAGS_use_fp16) {
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option->EnableTrtFP16();
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}
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} else if (FLAGS_backend == "default") {
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return true;
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} else {
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std::cout << "While inference with GPU, only support "
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"default/ort/paddle/trt/paddle_trt now, "
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<< FLAGS_backend << " is not supported." << std::endl;
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return false;
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}
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} else if (FLAGS_device == "cpu") {
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option->SetCpuThreadNum(FLAGS_cpu_thread_nums);
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if (FLAGS_backend == "ort") {
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option->UseOrtBackend();
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} else if (FLAGS_backend == "ov") {
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option->UseOpenVINOBackend();
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} else if (FLAGS_backend == "paddle") {
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option->UsePaddleInferBackend();
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} else if (FLAGS_backend == "lite") {
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option->UsePaddleLiteBackend();
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if (FLAGS_use_fp16) {
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option->EnableLiteFP16();
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}
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} else if (FLAGS_backend == "default") {
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return true;
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} else {
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std::cout << "While inference with CPU, only support "
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"default/ort/ov/paddle/lite now, "
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<< FLAGS_backend << " is not supported." << std::endl;
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return false;
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}
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} else if (FLAGS_device == "xpu") {
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option->UseKunlunXin(FLAGS_device_id);
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if (FLAGS_backend == "ort") {
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option->UseOrtBackend();
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} else if (FLAGS_backend == "paddle") {
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option->UsePaddleInferBackend();
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} else if (FLAGS_backend == "lite") {
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option->UsePaddleLiteBackend();
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if (FLAGS_use_fp16) {
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option->EnableLiteFP16();
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}
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} else if (FLAGS_backend == "default") {
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return true;
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} else {
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std::cout << "While inference with XPU, only support "
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"default/ort/paddle/lite now, "
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<< FLAGS_backend << " is not supported." << std::endl;
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return false;
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}
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} else {
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std::cerr << "Only support device CPU/GPU/XPU now, " << FLAGS_device
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<< " is not supported." << std::endl;
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return false;
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}
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return true;
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}
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