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[misc] Add deserialization tool for benchmarks (#4278)
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* [misc] Add deserialization tool for benchmarks

* update

* update

* add README.md

* typo
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yolo2themoon authored Mar 2, 2022
1 parent 35a9435 commit bf501f7
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41 changes: 41 additions & 0 deletions benchmarks/README.md
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Install a few of extra requirements:
```bash
python3 -m pip install -r requirements.txt
```

## Run

To run all benchmarks:
```bash
python3 run.py
```

## Result

The benchmark results will be stored in the `results` folder in your current directory.
If you wish to save the results as a single json file (`./results/results.json`):
```bash
python3 deserialize.py
```
Or you can specify the input and output path:
```bash
python3 deserialize.py --folder PATH_OF_RESULTS_FOLDER --output_path PATH_YOU_WIHS_TO_STORE
```

## Tools

After getting benchmark results (`./results`), you can use a visualization tool to profile performance problems:
```bash
python3 visualization.py
```

You can specify the results file path:
```bash
python3 visualization.py --folder PATH_OF_RESULTS_FOLDER
```

The default host and port is `localhost:5006\visualization`.
If you want to enable remote access, take the following steps:
```bash
python3 visualization.py --host YOUR_IP_ADDRESS --port PORT_YOU_WISH_TO_USE
```
99 changes: 99 additions & 0 deletions benchmarks/deserialize.py
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import argparse
import json
import os
from copy import deepcopy

from utils import dump2json


class ResultsBuilder():
def __init__(self, results_file_path: str):
self._suites_result = {}
self._file_path = results_file_path
self.load_suites_result()

def load_suites_result(self):
# benchmark info
info_path = os.path.join(self._file_path, '_info.json')
with open(info_path, 'r') as f:
info_dict = json.load(f)['suites']
# suite info
for suite_name, attrs in info_dict.items():
self._suites_result[suite_name] = {}
for arch in attrs['archs']:
self._suites_result[suite_name][arch] = {}
suite_info_path = os.path.join(self._file_path, suite_name,
arch, "_info.json")
with open(suite_info_path, 'r') as f:
suite_info_dict = json.load(f)
# case info
for case_name in suite_info_dict:
items = suite_info_dict[case_name]
items.pop('name')
items['metrics'] = items.pop('get_metric')
self._suites_result[suite_name][arch][case_name] = {
'items': items
}
# cases result
for suite_name in self._suites_result:
for arch in self._suites_result[suite_name]:
for case_name in self._suites_result[suite_name][arch]:
case_info_path = os.path.join(self._file_path, suite_name,
arch, case_name + ".json")
with open(case_info_path, 'r') as f:
case_results = json.load(f)
remove_none_list = []
for name, data in case_results.items():
# remove case_name
data['tags'] = data['tags'][1:]
if data['result'] is None:
remove_none_list.append(name)
for name in remove_none_list:
case_results.pop(name)
self._suites_result[suite_name][arch][case_name][
'results'] = case_results

def get_suites_result(self):
return self._suites_result

def save_results_as_json(self, costomized_dir=None):
file_path = os.path.join(self._file_path, 'results.json')
if costomized_dir != None:
file_path = os.path.join(costomized_dir, 'results.json')
with open(file_path, 'w') as f:
print(dump2json(self._suites_result), file=f)

def print_info(self):
# remove 'results' in self._suites_result, then print
info_dict = deepcopy(self._suites_result)
for suite_name in info_dict:
for arch in info_dict[suite_name]:
for case in info_dict[suite_name][arch]:
info_dict[suite_name][arch][case].pop('results')
print(dump2json(info_dict))


if __name__ == '__main__':
parser = argparse.ArgumentParser()

parser.add_argument('-f',
'--folder',
default='./results',
dest='folder',
type=str,
help='Path of result folder. Defaults to ./results')

parser.add_argument('-o',
'--output_path',
default='./results',
dest='output_path',
type=str,
help='Path of result folder. Defaults to ./results')

args = parser.parse_args()
result_folder = args.folder
output_path = args.output_path

results = ResultsBuilder(result_folder)
results.save_results_as_json(output_path)
results.print_info()
2 changes: 2 additions & 0 deletions benchmarks/requirements.txt
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jsbeautifier
bokeh

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