Files
pytorch/benchmarks/upload_scribe.py
Xuehai Pan a229b4526f [BE] Prefer dash over underscore in command-line options (#94505)
Preferring dash over underscore in command-line options. Add `--command-arg-name` to the argument parser. The old arguments with underscores `--command_arg_name` are kept for backward compatibility.

Both dashes and underscores are used in the PyTorch codebase. Some argument parsers only have dashes or only have underscores in arguments. For example, the `torchrun` utility for distributed training only accepts underscore arguments (e.g., `--master_port`). The dashes are more common in other command-line tools. And it looks to be the default choice in the Python standard library:

`argparse.BooleanOptionalAction`: 4a9dff0e5a/Lib/argparse.py (L893-L895)

```python
class BooleanOptionalAction(Action):
    def __init__(...):
            if option_string.startswith('--'):
                option_string = '--no-' + option_string[2:]
                _option_strings.append(option_string)
```

It adds `--no-argname`, not `--no_argname`. Also typing `_` need to press the shift or the caps-lock key than `-`.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94505
Approved by: https://github.com/ezyang, https://github.com/seemethere
2023-02-09 20:16:49 +00:00

139 lines
5.3 KiB
Python

"""Scribe Uploader for Pytorch Benchmark Data
Currently supports data in pytest-benchmark format but can be extended.
New fields can be added just by modifying the schema in this file, schema
checking is only here to encourage reusing existing fields and avoiding typos.
"""
import argparse
import time
import json
import os
import requests
import subprocess
from collections import defaultdict
class ScribeUploader:
def __init__(self, category):
self.category = category
def format_message(self, field_dict):
assert 'time' in field_dict, "Missing required Scribe field 'time'"
message = defaultdict(dict)
for field, value in field_dict.items():
if field in self.schema['normal']:
message['normal'][field] = str(value)
elif field in self.schema['int']:
message['int'][field] = int(value)
elif field in self.schema['float']:
message['float'][field] = float(value)
else:
raise ValueError("Field {} is not currently used, "
"be intentional about adding new fields".format(field))
return message
def _upload_intern(self, messages):
for m in messages:
json_str = json.dumps(m)
cmd = ['scribe_cat', self.category, json_str]
subprocess.run(cmd)
def upload(self, messages):
if os.environ.get('SCRIBE_INTERN'):
return self._upload_intern(messages)
access_token = os.environ.get("SCRIBE_GRAPHQL_ACCESS_TOKEN")
if not access_token:
raise ValueError("Can't find access token from environment variable")
url = "https://graph.facebook.com/scribe_logs"
r = requests.post(
url,
data={
"access_token": access_token,
"logs": json.dumps(
[
{
"category": self.category,
"message": json.dumps(message),
"line_escape": False,
}
for message in messages
]
),
},
)
print(r.text)
r.raise_for_status()
class PytorchBenchmarkUploader(ScribeUploader):
def __init__(self):
super().__init__('perfpipe_pytorch_benchmarks')
self.schema = {
'int': [
'time', 'rounds',
],
'normal': [
'benchmark_group', 'benchmark_name', 'benchmark_executor',
'benchmark_fuser', 'benchmark_class', 'benchmark_time',
'pytorch_commit_id', 'pytorch_branch', 'pytorch_commit_time', 'pytorch_version',
'pytorch_git_dirty',
'machine_kernel', 'machine_processor', 'machine_hostname',
'circle_build_num', 'circle_project_reponame',
],
'float': [
'stddev', 'min', 'median', 'max', 'mean',
]
}
def post_pytest_benchmarks(self, pytest_json):
machine_info = pytest_json['machine_info']
commit_info = pytest_json['commit_info']
upload_time = int(time.time())
messages = []
for b in pytest_json['benchmarks']:
test = b['name'].split('[')[0]
net_name = b['params']['net_name']
benchmark_name = '{}[{}]'.format(test, net_name)
executor = b['params']['executor']
fuser = b['params']['fuser']
m = self.format_message({
"time": upload_time,
"benchmark_group": b['group'],
"benchmark_name": benchmark_name,
"benchmark_executor": executor,
"benchmark_fuser": fuser,
"benchmark_class": b['fullname'],
"benchmark_time": pytest_json['datetime'],
"pytorch_commit_id": commit_info['id'],
"pytorch_branch": commit_info['branch'],
"pytorch_commit_time": commit_info['time'],
"pytorch_version": None,
"pytorch_git_dirty": commit_info['dirty'],
"machine_kernel": machine_info['release'],
"machine_processor": machine_info['processor'],
"machine_hostname": machine_info['node'],
"circle_build_num": os.environ.get("CIRCLE_BUILD_NUM"),
"circle_project_reponame": os.environ.get("CIRCLE_PROJECT_REPONAME"),
"stddev": b['stats']['stddev'],
"rounds": b['stats']['rounds'],
"min": b['stats']['min'],
"median": b['stats']['median'],
"max": b['stats']['max'],
"mean": b['stats']['mean'],
})
messages.append(m)
self.upload(messages)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--pytest-bench-json", "--pytest_bench_json", type=argparse.FileType('r'),
help='Upload json data formatted by pytest-benchmark module')
args = parser.parse_args()
if args.pytest_bench_json:
benchmark_uploader = PytorchBenchmarkUploader()
json_data = json.load(args.pytest_bench_json)
benchmark_uploader.post_pytest_benchmarks(json_data)