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https://github.com/pytorch/pytorch.git
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45411d1fc9
Changes: 1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()` 2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory. Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409 Approved by: https://github.com/albanD
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
import glob
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import json
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import os
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from pathlib import Path
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from typing import Any, Dict
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REPO_ROOT = Path(__file__).absolute().parents[2]
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def flatten_data(d: Dict[str, Any]) -> Dict[str, Any]:
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# Flatten the sccache stats data from a possibly nested dictionary to a flat
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# dictionary. For example, the input:
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# {
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# "cache": {
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# "hit": 1,
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# "miss": 2,
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# },
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# }
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# will be transformed to:
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# {
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# "cache_hit": 1,
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# "cache_miss": 2,
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# }
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flat_data = {}
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for key, value in d.items():
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if isinstance(value, dict):
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for k, v in flatten_data(value).items():
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flat_data[f"{key}_{k}"] = v
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else:
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flat_data[key] = value
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return flat_data
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def main() -> None:
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records = []
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for file in glob.glob(str(REPO_ROOT / "sccache-stats-*.json")):
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with open(file) as f:
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data = json.load(f)
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# I don't know what sccache info will be most useful yet, and the
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# sccache json has a decent number of keys, so just flatten the data
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# and store all of it
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records.append(
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{
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"benchmark": {
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"name": "sccache_stats",
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},
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"metric": {
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"name": "sccache_stats",
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"benchmark_values": [int(os.environ.get("BUILD_TIME") or 0)],
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"extra_info": flatten_data(data),
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},
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}
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)
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output_file = REPO_ROOT / "test" / "test-reports" / "sccache-stats.json"
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os.makedirs(output_file.parent, exist_ok=True)
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with open(output_file, "w") as f:
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json.dump(records, f)
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if __name__ == "__main__":
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main()
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