Oleksandr Pavlyk 0228d46c1d Keep robust timing comparisons per side ...

Select robust timing inputs independently for reference and compare data:
prefer robust summaries when present, otherwise recompute robust statistics from
that side's bulk samples. Fall back to mean/stdev summaries only when both sides
cannot provide robust timing inputs.

This allows modern JSON data with robust summaries to compare against legacy JSON
data that lacks robust summaries but includes bulk sample data, without mixing
summary families or unnecessarily falling back to mean/stdev.

2026-06-30 06:40:44 -05:00

..

run_1.py

Correct Python API signature of State.get_axis_values_as_strings (#346)

2026-05-04 08:40:29 -05:00

stubs.py

Add python api for cold warmup parameters (#363)

2026-05-18 10:56:44 -05:00

test_benchmark_result.py

Provide BenchmarkResult class for parsing JSON output of NVBench-instrumented benchmarks (#356)

2026-05-13 13:23:58 -05:00

test_cuda_bench.py

Add python api for cold warmup parameters (#363)

2026-05-18 10:56:44 -05:00

test_nvbench_compare.py

Keep robust timing comparisons per side

2026-06-30 06:40:44 -05:00

test_nvbench_json_summary.py

Provide BenchmarkResult class for parsing JSON output of NVBench-instrumented benchmarks (#356)

2026-05-13 13:23:58 -05:00