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Merge branch 'main' into change-nvbench-main-target-to-build-static-library-not-object-file
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@@ -1,4 +1,4 @@
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# Copyright 2025 NVIDIA Corporation
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# Copyright 2025-2026 NVIDIA Corporation
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#
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# Licensed under the Apache License, Version 2.0 with the LLVM exception
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# (the "License"); you may not use this file except in compliance with
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@@ -109,7 +109,7 @@ class State:
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self, column_name: str, value: Union[SupportsInt, SupportsFloat, str]
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) -> None: ...
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def get_axis_values(self) -> dict[str, int | float | str]: ...
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def get_axis_values_as_string(self) -> str: ...
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def get_axis_values_as_string(self, color: bool = ...) -> str: ...
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def get_stopping_criterion(self) -> str: ...
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def register(fn: Callable[[State], None]) -> Benchmark: ...
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@@ -1,5 +1,5 @@
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/*
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* Copyright 2025 NVIDIA Corporation
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* Copyright 2025-2026 NVIDIA Corporation
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*
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* Licensed under the Apache License, Version 2.0 with the LLVM exception
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* (the "License"); you may not use this file except in compliance with
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@@ -1097,7 +1097,9 @@ Get string of space-separated name=value pairs for this configuration
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)XXXX";
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pystate_cls.def("get_axis_values_as_string",
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&nvbench::state::get_axis_values_as_string,
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method_get_axis_values_as_string_doc);
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method_get_axis_values_as_string_doc,
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py::kw_only{},
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py::arg("color") = false);
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// method State.get_axis_values
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static constexpr const char *method_get_axis_values_doc = R"XXXX(
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@@ -1,3 +1,19 @@
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# Copyright 2026 NVIDIA Corporation
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#
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# Licensed under the Apache License, Version 2.0 with the LLVM exception
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# (the "License"); you may not use this file except in compliance with
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# the License.
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#
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# You may obtain a copy of the License at
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#
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# http://llvm.org/foundation/relicensing/LICENSE.txt
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import sys
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import cuda.bench as bench
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@@ -27,6 +43,9 @@ def add_two(state: bench.State):
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a = cuda.to_device(np.random.random(N))
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c = cuda.device_array_like(a)
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colorized_av = state.get_axis_values_as_string(color=True)
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assert isinstance(colorized_av, str)
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assert "elements" in state.get_axis_values()
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assert "elements=" in state.get_axis_values_as_string()
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@@ -100,9 +119,10 @@ def add_three(state: bench.State):
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def register_benchmarks():
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(
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bench.register(add_two).add_int64_axis(
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"elements", [2**pow2 - 1 for pow2 in range(20, 23)]
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)
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bench.register(add_two)
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.add_int64_axis("elements", [2**pow2 - 1 for pow2 in range(20, 23)])
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.set_stopping_criterion("entropy")
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.set_criterion_param_float64("min-r2", 0.85)
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)
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(
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bench.register(add_float)
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@@ -1,4 +1,4 @@
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# Copyright 2025 NVIDIA Corporation
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# Copyright 2025-2026 NVIDIA Corporation
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#
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# Licensed under the Apache License, Version 2.0 with the LLVM exception
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# (the "License"); you may not use this file except in compliance with
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@@ -20,7 +20,7 @@ from typing import Dict, Optional, Tuple
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import cuda.bench as bench
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import cuda.cccl.headers as headers
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import cuda.core.experimental as core
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import cuda.core as core
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def as_core_Stream(cs: bench.CudaStream) -> core.Stream:
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