mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-04 16:22:57 +08:00
[Benchmark] Support PaddleClas cpp benchmark (#1324)
* 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>
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@@ -15,11 +15,12 @@
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#pragma once
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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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const char sep = '\\';
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static const char sep = '\\';
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#else
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const char sep = '/';
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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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@@ -44,7 +45,7 @@ DEFINE_bool(
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collect_memory_info, false, "Whether to collect memory info");
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DEFINE_int32(sampling_interval, 50, "How often to collect memory info(ms).");
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void PrintUsage() {
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static void PrintUsage() {
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std::cout << "Usage: infer_demo --model model_path --image img_path --device "
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"[cpu|gpu|xpu] --backend "
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"[default|ort|paddle|ov|trt|paddle_trt|lite] "
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@@ -55,7 +56,7 @@ void PrintUsage() {
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std::cout << "Default value of use_fp16: false" << std::endl;
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}
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void PrintBenchmarkInfo() {
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static void PrintBenchmarkInfo() {
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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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@@ -76,7 +77,9 @@ void PrintBenchmarkInfo() {
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ss << "device_id: " << FLAGS_device_id << std::endl;
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}
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ss << "backend: " << FLAGS_backend << std::endl;
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ss << "cpu_thread_nums: " << FLAGS_cpu_thread_nums << std::endl;
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if (FLAGS_device == "cpu") {
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ss << "cpu_thread_nums: " << FLAGS_cpu_thread_nums << std::endl;
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}
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ss << "use_fp16: " << FLAGS_use_fp16 << std::endl;
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ss << "collect_memory_info: " << FLAGS_collect_memory_info << std::endl;
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if (FLAGS_collect_memory_info) {
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