File size: 1,499 Bytes
3ccaf5a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | """Print a one-row-per-metrics-file summary table.
Lives as a standalone script (rather than inline `python -c "..."` in
run_all.sh) because bash `eval` mangles f-strings that contain double-quoted
literals like `f'{"Model":<25}'`.
"""
import argparse
import glob
import json
import os
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--metrics", required=True, help="Directory with *_metrics.json files")
args = parser.parse_args()
files = sorted(glob.glob(os.path.join(args.metrics, "*_metrics.json")))
if not files:
print("No metrics files found.")
return
print()
print("=" * 100)
header = f'{"Model":<25} {"Quant":<15} {"Acc":<8} {"ΔAcc":<8} {"FFS":<8} {"ECR":<8} {"Tokens":<10} {"Error Types"}'
print(header)
print("-" * 100)
for f in files:
with open(f) as fp:
m = json.load(fp)
model = m.get("model", "?")[:24]
quant = m.get("quantization", "?")[:14]
acc = f"{m.get('accuracy', 0):.1%}"
delta = f"{m.get('accuracy_delta', 0):+.1%}"
ffs = f"{m.get('avg_ffs', 0):.1f}"
ecr = f"{m.get('ecr', 0):.1%}"
tokens = f"{m.get('avg_token_count', 0):.0f}"
dist = m.get("error_type_dist", {})
err_str = ", ".join(f"{k[:4]}:{v:.0%}" for k, v in dist.items())
print(f"{model:<25} {quant:<15} {acc:<8} {delta:<8} {ffs:<8} {ecr:<8} {tokens:<10} {err_str}")
print("=" * 100)
if __name__ == "__main__":
main()
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