Support all exported metrics in plotting scripts (#981)

This commit is contained in:
David Peter authored and GitHub committed 2026-10-05 22:48:06 +02:00
1 parent f26c015518
commit ef86c830b5
6 files changed
+115 -40

No files matched your search

+13 -8
View File
@@ -20,7 +20,10 @@ import pathlib
import matplotlib.pyplot as plt
import numpy as np
from plot_utils import METRICS, add_metric_argument, validate_metric
parser = argparse.ArgumentParser(description=__doc__)
add_metric_argument(parser)
parser.add_argument(
"files", nargs="+", type=pathlib.Path, help="JSON files with benchmark results"
)
@@ -31,27 +34,29 @@ parser.add_argument(
parser.add_argument("-o", "--output", help="Save image to the given filename")
args = parser.parse_args()
metric_label, metric_scale = METRICS[args.metric]
commands = None
data = []
inputs = []
if args.benchmark_names:
assert len(args.files) == len(
args.benchmark_names
), "Number of benchmark names must match the number of input files."
assert len(args.files) == len(args.benchmark_names), (
"Number of benchmark names must match the number of input files."
)
for i, filename in enumerate(args.files):
with open(filename) as f:
results = json.load(f)["results"]
validate_metric(parser, results, args.metric)
benchmark_commands = [b.get("name", b["command"]) for b in results]
if commands is None:
commands = benchmark_commands
else:
assert (
commands == benchmark_commands
), f"Unexpected commands in {filename}: {benchmark_commands}, expected: {commands}"
data.append([b["summary"]["time_wall_clock"]["mean"] for b in results])
assert commands == benchmark_commands, (
f"Unexpected commands in {filename}: {benchmark_commands}, expected: {commands}"
)
data.append([b["summary"][args.metric]["mean"] / metric_scale for b in results])
if args.benchmark_names:
inputs.append(args.benchmark_names[i])
else:
@@ -74,7 +79,7 @@ ax.grid(visible=True, axis="y")
if args.title:
plt.title(args.title)
plt.xlabel("Benchmark")
plt.ylabel("Time [s]")
plt.ylabel(metric_label)
plt.legend(title="Command")
if args.output: