NVIDIA/nvbench
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Add decorators for registering benchmarks and adding axis

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cuda.bench.register(fn) continues returning Benchmark, and supports
legacy use.

New signature added:
   cuda.bench.register():
      Returns a decorator

```
@bench.register()
@bench.axis.float64("Duration (s)", [7e-5, 1e-4, 5e-4])
@bench.option.min_samples(120)
def single_float64_axis(state: bench.State):
   ...
```
This commit is contained in:
Oleksandr Pavlyk
2026-05-04 08:21:41 -05:00
parent 338936b6fe
commit 63019a7e42
15 changed files with 592 additions and 80 deletions
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15
python/examples/cpu_activity.py
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@@ -1,4 +1,4 @@
# Copyright 2025 NVIDIA Corporation
# Copyright 2025-2026 NVIDIA Corporation
#
# Licensed under the Apache License, Version 2.0 with the LLVM exception
# (the "License"); you may not use this file except in compliance with
@@ -24,6 +24,8 @@ import cuda.core as core
host_sleep_duration = 0.1
@bench.register()
@bench.option.is_cpu_only()
def cpu_only_sleep_bench(state: bench.State) -> None:
def launcher(launch: bench.Launch):
time.sleep(host_sleep_duration)
@@ -66,6 +68,8 @@ __global__ void sleep_kernel(double seconds) {
return mod.get_kernel("sleep_kernel")
@bench.register()
@bench.axis.string("Sync", ["Do not sync", "Do sync"])
def mixed_sleep_bench(state: bench.State) -> None:
sync = state.get_string("Sync")
sync_flag = sync == "Do sync"
@@ -85,13 +89,4 @@ def mixed_sleep_bench(state: bench.State) -> None:
if __name__ == "__main__":
# time function only doing work (sleeping) on the host
# using CPU timer only
b = bench.register(cpu_only_sleep_bench)
b.set_is_cpu_only(True)
# time the function that does work on both GPU and CPU
b2 = bench.register(mixed_sleep_bench)
b2.add_string_axis("Sync", ["Do not sync", "Do sync"])
bench.run_all_benchmarks(sys.argv)