Oleksandr Pavlyk debde4f4b2 Lazy-load nvbench-compare bulk timing data ...

Store JSON-bin sample time and frequency metadata in GpuTimingData instead of
reading the binary files during summary extraction.

Add Float32BinarySource and lazy cached accessors for samples and frequencies.
Use np.fromfile by default, but allow tests and alternate callers to inject a
float32 reader returning any buffer-compatible object convertable to "<f4" data
type.

Treat optional bulk-data failures as unavailable evidence instead of aborting
comparison: unreadable files, invalid buffers, count mismatches, and mismatched
sample/frequency metadata now emit RuntimeWarning and return None.

Update nvbench_compare tests to verify lazy loading, cache reuse, injected
reader behavior, warning-based degradation, and count mismatch handling.

2026-06-02 15:55:02 -05:00

..

nvbench_json

Build multi architecture cuda wheels (#302)

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__init__.py

Build multi architecture cuda wheels (#302)

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nvbench_compare.py

Lazy-load nvbench-compare bulk timing data

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nvbench_histogram.py

Build multi architecture cuda wheels (#302)

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nvbench_json_summary.py

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

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nvbench_plot_bwutil.py

Apply reviewer feedback

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nvbench_walltime.py

Build multi architecture cuda wheels (#302)

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test_cmp.json

Build multi architecture cuda wheels (#302)

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test_ref.json

Build multi architecture cuda wheels (#302)

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