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92 lines
2.6 KiB
Plaintext
92 lines
2.6 KiB
Plaintext
/*
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* Copyright 2023 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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*/
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#include <nvbench/detail/entropy_criterion.cuh>
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#include <nvbench/stopping_criterion.cuh>
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#include <nvbench/types.cuh>
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#include "test_asserts.cuh"
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#include <vector>
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#include <random>
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#include <numeric>
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void test_const()
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{
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nvbench::criterion_params params;
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nvbench::detail::entropy_criterion criterion;
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criterion.initialize(params);
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for (int i = 0; i < 6; i++)
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{ // nvbench wants at least 5 to compute the standard deviation
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criterion.add_measurement(42.0);
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}
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ASSERT(criterion.is_finished());
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}
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void produce_entropy_arch(nvbench::detail::entropy_criterion &criterion)
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{
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/*
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* This pattern is designed to simulate the entropy:
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*
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* 0.0, 1.0, 1.5, 2.0, 2.3, 2.5 <---- no unexpected measurement after this point
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* 2.5, 2.4, 2.2, 2.1, 2.0, 1.9 <-+
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* 1.8, 1.7, 1.6, 1.6, 1.5, 1.4 |
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* 1.4, 1.3, 1.3, 1.3, 1.2, 1.2 |
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* 1.1, 1.1, 1.1, 1.0, 1.0, 1.0 +-- entropy only decreases after 5-th sample,
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* 1.0, 0.9, 0.9, 0.9, 0.9, 0.9 | so the slope should be negative
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* 0.8, 0.8, 0.8, 0.8, 0.8, 0.8 |
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* 0.7, 0.7, 0.7, 0.7, 0.7, 0.7 <-+
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*/
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for (nvbench::float64_t x = 0.0; x < 50.0; x += 1.0)
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{
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criterion.add_measurement(x > 5.0 ? 5.0 : x);
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}
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}
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void test_entropy_arch()
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{
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nvbench::detail::entropy_criterion criterion;
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// The R2 should be around 0.5
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// The angle should be around -1.83
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nvbench::criterion_params params;
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params.set_float64("min-r2", 0.3);
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params.set_float64("max-angle", -1.0);
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criterion.initialize(params);
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produce_entropy_arch(criterion);
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ASSERT(criterion.is_finished());
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params.set_float64("min-r2", 0.7);
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criterion.initialize(params);
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produce_entropy_arch(criterion);
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ASSERT(!criterion.is_finished());
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params.set_float64("min-r2", 0.3);
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params.set_float64("max-angle", -2.0);
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criterion.initialize(params);
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produce_entropy_arch(criterion);
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ASSERT(!criterion.is_finished());
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}
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int main()
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{
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test_const();
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test_entropy_arch();
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}
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