mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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11dd2512c5
* 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 * rm pmap and use mem api * rm pmap and use mem api * add mem api * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * Add PrintBenchmarkInfo func * deal with comments * fixed enable_paddle_to_trt * add log for paddle_trt * support ppcls benchmark * use new trt option api * update benchmark info * simplify benchmark.cc * simplify benchmark.cc * deal with comments * Add ppseg && ppocr benchmark * add OCR rec img * add ocr benchmark * fixed trt shape * add trt shape * resolve conflict * add ENABLE_BENCHMARK define * Add ClassifyDiff * Add Resize for ClassifyResult * deal with comments * add convert info script * resolve conflict * Add SaveBenchmarkResult func * fixed bug * fixed bug * fixed bug * add config.txt for option * fixed bug * fixed bug * fixed bug * add benchmark.sh * mv thread_nums from 8 to 1 * deal with comments * deal with comments * fixed readme * deal with comments * add all platform shell * Update config.arm.txt * Update config.gpu.txt * Update config.x86.txt * fixed printinfo bug * rm proxy * add more model support * all backend config.txt * deal with comments --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
94 lines
3.5 KiB
C++
Executable File
94 lines
3.5 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 <unordered_map>
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#include "gflags/gflags.h"
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#include "fastdeploy/benchmark/utils.h"
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#ifdef WIN32
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static const char sep = '\\';
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#else
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static const char sep = '/';
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#endif
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DEFINE_string(model, "", "Directory of the inference model.");
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DEFINE_string(image, "", "Path of the image file.");
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DEFINE_string(config_path, "config.txt", "Path of benchmark config.");
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DEFINE_int32(warmup, -1, "Number of warmup for profiling.");
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DEFINE_int32(repeat, -1, "Number of repeats for profiling.");
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static void PrintUsage() {
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std::cout << "Usage: infer_demo --model model_path --image img_path "
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"--config_path config.txt[Path of benchmark config.] "
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<< std::endl;
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std::cout << "Default value of device: cpu" << std::endl;
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std::cout << "Default value of backend: default" << std::endl;
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std::cout << "Default value of use_fp16: false" << std::endl;
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}
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static void PrintBenchmarkInfo(std::unordered_map<std::string,
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std::string> config_info) {
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#if defined(ENABLE_BENCHMARK) && defined(ENABLE_VISION)
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// Get model name
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std::vector<std::string> model_names;
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fastdeploy::benchmark::Split(FLAGS_model, model_names, sep);
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if (model_names.empty()) {
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std::cout << "Directory of the inference model is invalid!!!" << std::endl;
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return;
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}
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// Save benchmark info
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int warmup = std::stoi(config_info["warmup"]);
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int repeat = std::stoi(config_info["repeat"]);
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if (FLAGS_warmup != -1) {
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warmup = FLAGS_warmup;
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}
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if (FLAGS_repeat != -1) {
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repeat = FLAGS_repeat;
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}
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std::stringstream ss;
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ss.precision(3);
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ss << "\n======= Model Info =======\n";
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ss << "model_name: " << model_names[model_names.size() - 1] << std::endl;
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ss << "profile_mode: " << config_info["profile_mode"] << std::endl;
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if (config_info["profile_mode"] == "runtime") {
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ss << "include_h2d_d2h: " << config_info["include_h2d_d2h"] << std::endl;
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}
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ss << "\n======= Backend Info =======\n";
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ss << "warmup: " << warmup << std::endl;
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ss << "repeats: " << repeat << std::endl;
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ss << "device: " << config_info["device"] << std::endl;
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if (config_info["device"] == "gpu") {
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ss << "device_id: " << config_info["device_id"] << std::endl;
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}
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ss << "use_fp16: " << config_info["use_fp16"] << std::endl;
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ss << "backend: " << config_info["backend"] << std::endl;
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if (config_info["device"] == "cpu") {
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ss << "cpu_thread_nums: " << config_info["cpu_thread_nums"] << std::endl;
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}
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ss << "collect_memory_info: "
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<< config_info["collect_memory_info"] << std::endl;
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if (config_info["collect_memory_info"] == "true") {
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ss << "sampling_interval: " << config_info["sampling_interval"]
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<< "ms" << std::endl;
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}
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std::cout << ss.str() << std::endl;
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// Save benchmark info
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fastdeploy::benchmark::ResultManager::SaveBenchmarkResult(ss.str(),
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config_info["result_path"]);
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#endif
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return;
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}
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