Files
FastDeploy/benchmark/cpp/flags.h
WJJ1995 47b1d27fbb [Benchmark] Add macros for benchmark (#1301)
* 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>
2023-02-13 16:12:54 +08:00

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2.1 KiB
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Executable File

// 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.
#pragma once
#include "gflags/gflags.h"
DEFINE_string(model, "", "Directory of the inference model.");
DEFINE_string(image, "", "Path of the image file.");
DEFINE_string(device, "cpu",
"Type of inference device, support 'cpu/gpu/xpu'.");
DEFINE_int32(device_id, 0, "device(gpu/xpu/...) id.");
DEFINE_int32(warmup, 200, "Number of warmup for profiling.");
DEFINE_int32(repeat, 1000, "Number of repeats for profiling.");
DEFINE_string(profile_mode, "runtime", "runtime or end2end.");
DEFINE_string(backend, "default",
"The inference runtime backend, support: ['default', 'ort', "
"'paddle', 'ov', 'trt', 'paddle_trt', 'lite']");
DEFINE_int32(cpu_thread_nums, 8, "Set numbers of cpu thread.");
DEFINE_bool(
include_h2d_d2h, false, "Whether run profiling with h2d and d2h.");
DEFINE_bool(
use_fp16, false,
"Whether to use FP16 mode, only support 'trt', 'paddle_trt' "
"and 'lite' backend");
DEFINE_bool(
collect_memory_info, false, "Whether to collect memory info");
DEFINE_int32(sampling_interval, 50, "How often to collect memory info(ms).");
void PrintUsage() {
std::cout << "Usage: infer_demo --model model_path --image img_path --device "
"[cpu|gpu|xpu] --backend "
"[default|ort|paddle|ov|trt|paddle_trt|lite] "
"--use_fp16 false"
<< std::endl;
std::cout << "Default value of device: cpu" << std::endl;
std::cout << "Default value of backend: default" << std::endl;
std::cout << "Default value of use_fp16: false" << std::endl;
}