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cpp/benchmarks/stream_compaction/drop_duplicates_benchmark.cpp
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| /* | ||
| * Copyright (c) 2020, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
|
||
| #include <cudf/column/column_view.hpp> | ||
| #include <cudf/stream_compaction.hpp> | ||
| #include <cudf/types.hpp> | ||
| #include <cudf_test/base_fixture.hpp> | ||
| #include <cudf_test/column_wrapper.hpp> | ||
| #include <fixture/benchmark_fixture.hpp> | ||
| #include <synchronization/synchronization.hpp> | ||
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|
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| #include <memory> | ||
| #include <random> | ||
|
|
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| class Compaction : public cudf::benchmark { | ||
| }; | ||
|
|
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| template <typename Type> | ||
| void BM_compaction(benchmark::State& state, cudf::duplicate_keep_option keep) | ||
| { | ||
| auto const n_rows = static_cast<cudf::size_type>(state.range(0)); | ||
|
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| cudf::test::UniformRandomGenerator<long> rand_gen(0, 100); | ||
| auto elements = cudf::test::make_counting_transform_iterator( | ||
| 0, [&rand_gen](auto row) { return rand_gen.generate(); }); | ||
| auto valids = cudf::test::make_counting_transform_iterator( | ||
| 0, [](auto i) { return i % 100 == 0 ? false : true; }); | ||
| cudf::test::fixed_width_column_wrapper<Type, long> values(elements, elements + n_rows, valids); | ||
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| auto input_column = cudf::column_view(values); | ||
| auto input_table = cudf::table_view({input_column, input_column, input_column, input_column}); | ||
|
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| for (auto _ : state) { | ||
| cuda_event_timer timer(state, true); | ||
| auto result = cudf::drop_duplicates(input_table, {0}, keep); | ||
| } | ||
| } | ||
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| #define concat(a, b, c) a##b##c | ||
| #define get_keep(op) cudf::duplicate_keep_option::KEEP_##op | ||
|
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| // TYPE, OP | ||
| #define RBM_BENCHMARK_DEFINE(name, type, keep) \ | ||
| BENCHMARK_DEFINE_F(Compaction, name)(::benchmark::State & state) \ | ||
| { \ | ||
| BM_compaction<type>(state, get_keep(keep)); \ | ||
| } \ | ||
| BENCHMARK_REGISTER_F(Compaction, name) \ | ||
| ->UseManualTime() \ | ||
| ->Arg(10000) /* 10k */ \ | ||
| ->Arg(100000) /* 100k */ \ | ||
| ->Arg(1000000) /* 1M */ \ | ||
| ->Arg(10000000) /* 10M */ | ||
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| #define COMPACTION_BENCHMARK_DEFINE(type, keep) \ | ||
| RBM_BENCHMARK_DEFINE(concat(type, _, keep), type, keep) | ||
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| COMPACTION_BENCHMARK_DEFINE(bool, NONE); | ||
| COMPACTION_BENCHMARK_DEFINE(int8_t, NONE); | ||
| COMPACTION_BENCHMARK_DEFINE(int32_t, NONE); | ||
| COMPACTION_BENCHMARK_DEFINE(int32_t, FIRST); | ||
| COMPACTION_BENCHMARK_DEFINE(int32_t, LAST); | ||
| using cudf::timestamp_ms; | ||
| COMPACTION_BENCHMARK_DEFINE(timestamp_ms, NONE); | ||
| COMPACTION_BENCHMARK_DEFINE(float, NONE); |
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