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[Benches] Fix too long bench names in charts legends #21417

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Merged
KornevNikita merged 10 commits into from
Mar 12, 2026
Merged

[Benches] Fix too long bench names in charts legends #21417

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abf9e29
[Benches] Fix too long bench names in charts legends
PatKamin Mar 2, 2026
f2922df
rename common_args
PatKamin Mar 3, 2026
685312c
update tests
PatKamin Mar 3, 2026
6821cca
fix args names
PatKamin Mar 5, 2026
e3a52b7
fix event record wait
PatKamin Mar 6, 2026
3dbf2f1
decrease number of iterations in integration tests
PatKamin Mar 6, 2026
7872ac2
fix graph single q args
PatKamin Mar 9, 2026
449fb43
reorder graph single q args list
PatKamin Mar 9, 2026
2ad682e
fix kernel count arg name
PatKamin Mar 10, 2026
942345e
fix KernelSubmitGraphMultiQueue arg in tests
PatKamin Mar 10, 2026
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36 changes: 21 additions & 15 deletions devops/scripts/benchmarks/benches/compute/compute.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -317,15 +317,15 @@ def createTorchSingleQueueBench(variant_name: str, **kwargs):
runtime,
variant_name,
profiler_type,
**{
**kwargs,
fixed_args={
"KernelBatchSize": 512,
"KernelName": "Add",
"KernelParamsNum": 5,
"KernelSubmitPattern": "Single",
"Profiling": 0,
"UseEvents": 0,
},
**kwargs,
)

benches += [
Expand Down Expand Up @@ -378,28 +378,30 @@ def createTorchMultiQueueBench(variant_name: str, **kwargs):
variant_name,
profiler_type,
measure_completion,
**{
**kwargs,
fixed_args={
"KernelWGCount": 512,
"KernelWGSize": 256,
"MeasureCompletionTime": measure_completion,
"Profiling": 0,
"UseEvents": 0,
},
**kwargs,
)

benches += [
createTorchMultiQueueBench(
"large",
KernelsPerQueue=20,
MeasureCompletionTime=measure_completion,
),
createTorchMultiQueueBench(
"medium",
KernelsPerQueue=10,
MeasureCompletionTime=measure_completion,
),
createTorchMultiQueueBench(
"small",
KernelsPerQueue=4,
MeasureCompletionTime=measure_completion,
),
]

Expand All @@ -414,26 +416,28 @@ def createTorchSlmSizeBench(variant_name: str, **kwargs):
variant_name,
profiler_type,
measure_completion,
**{
**kwargs,
fixed_args={
"KernelBatchSize": 512,
"MeasureCompletionTime": measure_completion,
"Profiling": 0,
},
**kwargs,
)

benches += [
createTorchSlmSizeBench(
"small",
SlmNum=1,
MeasureCompletionTime=measure_completion,
),
createTorchSlmSizeBench(
"medium",
SlmNum=1024,
MeasureCompletionTime=measure_completion,
),
createTorchSlmSizeBench(
"large",
SlmNum=16384,
MeasureCompletionTime=measure_completion,
),
]

Expand Down Expand Up @@ -491,11 +495,11 @@ def createTorchLinearKernelSizeBench(variant_name: str, **kwargs):
runtime,
variant_name,
profiler_type,
**{
**kwargs,
fixed_args={
"KernelBatchSize": 512,
"Profiling": 0,
},
**kwargs,
)

benches += [
Expand Down Expand Up @@ -536,29 +540,31 @@ def createTorchGraphSingleQueueBench(variant_name: str, **kwargs):
runtime,
variant_name,
profiler_type,
**{
**kwargs,
"KernelName": kernel_name.value,
fixed_args={
"KernelWGCount": 512,
"KernelWGSize": 256,
"Profiling": 0,
"UseEvents": 0,
},
**kwargs,
)

benches += [
createTorchGraphSingleQueueBench(
"small",
KernelName=kernel_name.value,
KernelsPerQueue=10,
KernelBatchSize=10,
),
createTorchGraphSingleQueueBench(
"medium",
KernelName=kernel_name.value,
KernelsPerQueue=32,
KernelBatchSize=32,
),
createTorchGraphSingleQueueBench(
"large",
KernelName=kernel_name.value,
KernelsPerQueue=64,
KernelBatchSize=64,
),
Expand All @@ -574,13 +580,13 @@ def createTorchGraphMultiQueueBench(variant_name: str, **kwargs):
runtime,
variant_name,
profiler_type,
**{
**kwargs,
fixed_args={
"workgroupCount": 512,
"workgroupSize": 256,
"Profiling": 0,
"UseEvents": 0,
},
**kwargs,
)

benches += [
Expand Down
23 changes: 21 additions & 2 deletions devops/scripts/benchmarks/benches/compute/compute_torch.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,13 +18,15 @@ def __init__(
variant_name: str,
profiler_type: PROFILERS,
measure_completion: int = 0,
fixed_args: dict | None = None,
**kwargs,
):
self._variant_name = variant_name
self._measure_completion_str = (
" with measure completion" if measure_completion else ""
)
self._torch_params = kwargs
self._torch_params: dict = kwargs
self._fixed_args: dict | None = fixed_args # args used for charts legends
self._iterations_regular = 1000
self._iterations_trace = 10
super().__init__(
Expand Down Expand Up @@ -63,10 +65,14 @@ def _supported_runtimes(self) -> list[RUNTIMES]:

def _bin_args(self, run_trace: TracingType = TracingType.NONE) -> list[str]:
iters = self._get_iters(run_trace)
if self._fixed_args is not None:
params = dict(self._fixed_args | self._torch_params)
else:
params = self._torch_params
return (
[f"--iterations={iters}"]
+ [f"--profilerType={self._profiler_type.value}"]
+ [f"--{k}={v}" for k, v in self._torch_params.items()]
+ [f"--{k}={v}" for k, v in params.items()]
)


Expand All @@ -78,6 +84,7 @@ def __init__(
runtime: RUNTIMES,
variant_name: str,
profiler_type: PROFILERS,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -86,6 +93,7 @@ def __init__(
"KernelSubmitSingleQueue",
variant_name,
profiler_type,
fixed_args=fixed_args,
**kwargs,
)

Expand All @@ -99,6 +107,7 @@ def __init__(
variant_name: str,
profiler_type: PROFILERS,
measure_completion: int = 0,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -108,6 +117,7 @@ def __init__(
variant_name,
profiler_type,
measure_completion=measure_completion,
fixed_args=fixed_args,
**kwargs,
)

Expand All @@ -121,6 +131,7 @@ def __init__(
variant_name: str,
profiler_type: PROFILERS,
measure_completion: int = 0,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -130,6 +141,7 @@ def __init__(
variant_name,
profiler_type,
measure_completion=measure_completion,
fixed_args=fixed_args,
**kwargs,
)

Expand All @@ -142,6 +154,7 @@ def __init__(
runtime: RUNTIMES,
variant_name: str,
profiler_type: PROFILERS,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -150,6 +163,7 @@ def __init__(
"KernelSubmitLinearKernelSize",
variant_name,
profiler_type,
fixed_args=fixed_args,
**kwargs,
)

Expand Down Expand Up @@ -182,6 +196,7 @@ def __init__(
runtime: RUNTIMES,
variant_name: str,
profiler_type: PROFILERS,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -190,17 +205,20 @@ def __init__(
"KernelSubmitGraphSingleQueue",
variant_name,
profiler_type,
fixed_args=fixed_args,
**kwargs,
)


class TorchGraphMultiQueue(TorchBenchmark):

def __init__(
self,
suite,
runtime: RUNTIMES,
variant_name: str,
profiler_type: PROFILERS,
fixed_args: dict | None = None,
**kwargs,
):
super().__init__(
Expand All @@ -209,6 +227,7 @@ def __init__(
"KernelSubmitGraphMultiQueue",
variant_name,
profiler_type,
fixed_args=fixed_args,
**kwargs,
)

Expand Down
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