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chore: import upstream snapshot with attribution
2026-07-13 12:32:31 +08:00

94 lines
3.6 KiB
Python

# Copyright (c) 2026 LightSeek Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
from __future__ import annotations
from dataclasses import dataclass, field
from tokenspeed_kernel.profiling import ProfilingConfig
__all__ = ["BenchmarkConfig"]
@dataclass
class BenchmarkConfig:
"""Configuration for a benchmark run."""
warmup_iters: int = 10
bench_iters: int = 100
verify: bool = True
percentiles: list[float] = field(default_factory=lambda: [50.0, 90.0, 99.0])
use_cuda_events: bool = True
seed: int = 42
proton_profile: bool = False
proton_config: ProfilingConfig | None = None
def validate(self) -> None:
if self.warmup_iters < 0:
raise ValueError("warmup_iters must be >= 0")
if self.bench_iters <= 0:
raise ValueError("bench_iters must be > 0")
if not isinstance(self.verify, bool):
raise ValueError("verify must be a bool")
if not self.percentiles:
raise ValueError("percentiles must not be empty")
for percentile in self.percentiles:
if percentile < 0 or percentile > 100:
raise ValueError("percentiles must be in [0, 100]")
if not isinstance(self.proton_profile, bool):
raise ValueError("proton_profile must be a bool")
if self.proton_config is None:
return
if not isinstance(self.proton_config, ProfilingConfig):
raise ValueError("proton_config must be a ProfilingConfig")
if not self.proton_config.output:
raise ValueError("proton_config.output must be non-empty")
if self.proton_config.data not in {"tree", "trace"}:
raise ValueError("proton_config.data must be one of: tree, trace")
if self.proton_config.backend not in {None, "cupti", "roctracer"}:
raise ValueError(
"proton_config.backend must be one of: None, cupti, roctracer"
)
if self.proton_config.mode not in {None, "pcsampling", "periodic_flushing"}:
raise ValueError(
"proton_config.mode must be one of: None, pcsampling, periodic_flushing"
)
if self.proton_config.hook not in {None, "triton"}:
raise ValueError("proton_config.hook must be one of: None, triton")
if self.proton_config.output_format not in {
"",
"hatchet",
"hatchet_msgpack",
"chrome_trace",
}:
raise ValueError(
"proton_config.output_format must be one of: '', hatchet, "
"hatchet_msgpack, chrome_trace"
)