Oleksandr Pavlyk f885d4cb69 Add python/examples/benchmark_result_autotune.py ...

This example demonstrates using cuda.bench and cuda.bench.results
to implement simple auto-tuning, demonstrated on selecting of
tile shape hyperparameter for naive stencil kernel implemented
in numba-cuda.

2026-05-12 14:12:24 -05:00

..

auto_throughput.py

Remove cupti from cuda-bench dependencies

2026-02-02 15:37:13 -06:00

axes.py

cuda.core.experimental -> cuda.core

2026-04-01 08:16:04 -05:00

benchmark_result_autotune.py

Add python/examples/benchmark_result_autotune.py

2026-05-12 14:12:24 -05:00

cpu_activity.py

cuda.core.experimental -> cuda.core

2026-04-01 08:16:04 -05:00

cuda_compute_segmented_reduce.py

Correct cuda cccl examples per change in api (#353)

2026-05-06 13:30:44 -05:00

cuda_coop_block_reduce.py

Correct cuda cccl examples per change in api (#353)

2026-05-06 13:30:44 -05:00

cupy_extract.py

Replace use of cupy.cuda.ExternalStream with cupy.cuda.Stream.from_external

2026-04-01 08:17:12 -05:00

cute_dsl_sgemm.py

Add patch to cutlass.base_dsl.dsl.BaseDSL to work-around a bug

2026-04-02 10:29:31 -05:00

exec_tag_sync.py

cuda.core.experimental -> cuda.core

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pytorch_bench.py

cuda.nvbench -> cuda.bench

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requirements.txt

Add python/examples/benchmark_result_autotune.py

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skip.py

cuda.core.experimental -> cuda.core

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throughput.py

cuda.nvbench -> cuda.bench

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