pytorch/tools/stats/upload_dynamo_perf_stats.py

119 lines
3.7 KiB
Python

import argparse
import csv
import os
import re
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Any, Dict, List
from tools.stats.upload_stats_lib import download_s3_artifacts, unzip, upload_to_rockset
ARTIFACTS = [
"test-reports",
]
ARTIFACT_REGEX = re.compile(
r"test-reports-test-(?P<name>\w+)-\d+-\d+-(?P<runner>[\w\.]+)_(?P<job>\d+).zip"
)
def upload_dynamo_perf_stats_to_rockset(
repo: str,
workflow_run_id: int,
workflow_run_attempt: int,
head_branch: str,
) -> List[Dict[str, Any]]:
perf_stats = []
with TemporaryDirectory() as temp_dir:
print("Using temporary directory:", temp_dir)
os.chdir(temp_dir)
for artifact in ARTIFACTS:
artifact_paths = download_s3_artifacts(
artifact, workflow_run_id, workflow_run_attempt
)
# Unzip to get perf stats csv files
for path in artifact_paths:
m = ARTIFACT_REGEX.match(str(path))
if not m:
print(f"Test report {path} has an invalid name. Skipping")
continue
test_name = m.group("name")
runner = m.group("runner")
job_id = m.group("job")
# Extract all files
unzip(path)
for csv_file in Path(".").glob("**/*.csv"):
filename = os.path.splitext(os.path.basename(csv_file))[0]
print(f"Processing {filename} from {path}")
with open(csv_file) as csvfile:
reader = csv.DictReader(csvfile, delimiter=",")
for row in reader:
# If the row doesn't have a dev and a name column, it's not
# a torch dynamo perf stats csv file
if "dev" not in row or "name" not in row:
break
row.update(
{
"workflow_id": workflow_run_id, # type: ignore[dict-item]
"run_attempt": workflow_run_attempt, # type: ignore[dict-item]
"test_name": test_name,
"runner": runner,
"job_id": job_id,
"filename": filename,
"head_branch": head_branch,
}
)
perf_stats.append(row)
# Done processing the file, removing it
os.remove(csv_file)
return perf_stats
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Upload dynamo perf stats from S3 to Rockset"
)
parser.add_argument(
"--workflow-run-id",
type=int,
required=True,
help="id of the workflow to get perf stats from",
)
parser.add_argument(
"--workflow-run-attempt",
type=int,
required=True,
help="which retry of the workflow this is",
)
parser.add_argument(
"--repo",
type=str,
required=True,
help="which GitHub repo this workflow run belongs to",
)
parser.add_argument(
"--head-branch",
type=str,
required=True,
help="Head branch of the workflow",
)
args = parser.parse_args()
perf_stats = upload_dynamo_perf_stats_to_rockset(
args.repo, args.workflow_run_id, args.workflow_run_attempt, args.head_branch
)
upload_to_rockset(
collection="torch_dynamo_perf_stats",
docs=perf_stats,
workspace="inductor",
)