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[Benchmark] Support PaddleClas cpp benchmark (#1324)

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* 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

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
This commit is contained in:
WJJ1995
2023-02-15 17:25:49 +08:00
committed by GitHub
parent 6a2cfde8d1
commit da94fc46cf
12 changed files with 86 additions and 35 deletions
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36
benchmark/cpp/benchmark_ppcls.cc Executable file
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// Copyright (c) 2023 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.
#include "flags.h"
#include "macros.h"
#include "option.h"
int main(int argc, char* argv[]) {
// Initialization
auto option = fastdeploy::RuntimeOption();
if (!CreateRuntimeOption(&option, argc, argv, true)) {
return -1;
}
auto im = cv::imread(FLAGS_image);
// Set max_batch_size 1 for best performance
option.trt_option.max_batch_size = 1;
auto model_file = FLAGS_model + sep + "inference.pdmodel";
auto params_file = FLAGS_model + sep + "inference.pdiparams";
auto config_file = FLAGS_model + sep + "inference_cls.yaml";
auto model_ppcls = fastdeploy::vision::classification::PaddleClasModel(
model_file, params_file, config_file, option);
fastdeploy::vision::ClassifyResult res;
BENCHMARK_MODEL(model_ppcls, model_ppcls.Predict(im, &res))
return 0;
}