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Add gbenchmark for nvtext tokenize functions (#7684)
Reference #5696 Creates gbenchmarks for `nvtext::tokenize()`, `nvtext::count_tokens()` and `nvtext::ngrams_tokenize()` functions. The benchmarks measures various string lengths and number of rows. These functions use the `make_strings_column` factory optimized in #7576 Authors: - David (@davidwendt) Approvers: - Conor Hoekstra (@codereport) - Nghia Truong (@ttnghia) - Mark Harris (@harrism) URL: #7684
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/* | ||
* Copyright (c) 2021, 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. | ||
*/ | ||
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#include <benchmark/benchmark.h> | ||
#include <benchmarks/common/generate_benchmark_input.hpp> | ||
#include <benchmarks/fixture/benchmark_fixture.hpp> | ||
#include <benchmarks/string/string_bench_args.hpp> | ||
#include <benchmarks/synchronization/synchronization.hpp> | ||
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#include <cudf/scalar/scalar.hpp> | ||
#include <cudf/strings/strings_column_view.hpp> | ||
#include <cudf_test/base_fixture.hpp> | ||
#include <cudf_test/column_wrapper.hpp> | ||
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#include <nvtext/ngrams_tokenize.hpp> | ||
#include <nvtext/tokenize.hpp> | ||
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class TextTokenize : public cudf::benchmark { | ||
}; | ||
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enum class tokenize_type { single, multi, count, count_multi, ngrams }; | ||
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static void BM_tokenize(benchmark::State& state, tokenize_type tt) | ||
{ | ||
auto const n_rows = static_cast<cudf::size_type>(state.range(0)); | ||
auto const max_str_length = static_cast<cudf::size_type>(state.range(1)); | ||
data_profile table_profile; | ||
table_profile.set_distribution_params( | ||
cudf::type_id::STRING, distribution_id::NORMAL, 0, max_str_length); | ||
auto const table = | ||
create_random_table({cudf::type_id::STRING}, 1, row_count{n_rows}, table_profile); | ||
cudf::strings_column_view input(table->view().column(0)); | ||
cudf::test::strings_column_wrapper delimiters({" ", "+", "-"}); | ||
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for (auto _ : state) { | ||
cuda_event_timer raii(state, true, 0); | ||
switch (tt) { | ||
case tokenize_type::single: nvtext::tokenize(input); break; | ||
case tokenize_type::multi: | ||
nvtext::tokenize(input, cudf::strings_column_view(delimiters)); | ||
break; | ||
case tokenize_type::count: nvtext::count_tokens(input); break; | ||
case tokenize_type::count_multi: | ||
nvtext::count_tokens(input, cudf::strings_column_view(delimiters)); | ||
break; | ||
case tokenize_type::ngrams: | ||
// default is bigrams | ||
nvtext::ngrams_tokenize(input); | ||
break; | ||
} | ||
} | ||
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state.SetBytesProcessed(state.iterations() * input.chars_size()); | ||
} | ||
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static void generate_bench_args(benchmark::internal::Benchmark* b) | ||
{ | ||
int const min_rows = 1 << 12; | ||
int const max_rows = 1 << 24; | ||
int const row_mult = 8; | ||
int const min_rowlen = 1 << 5; | ||
int const max_rowlen = 1 << 13; | ||
int const len_mult = 4; | ||
generate_string_bench_args(b, min_rows, max_rows, row_mult, min_rowlen, max_rowlen, len_mult); | ||
} | ||
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#define NVTEXT_BENCHMARK_DEFINE(name) \ | ||
BENCHMARK_DEFINE_F(TextTokenize, name) \ | ||
(::benchmark::State & st) { BM_tokenize(st, tokenize_type::name); } \ | ||
BENCHMARK_REGISTER_F(TextTokenize, name) \ | ||
->Apply(generate_bench_args) \ | ||
->UseManualTime() \ | ||
->Unit(benchmark::kMillisecond); | ||
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NVTEXT_BENCHMARK_DEFINE(single) | ||
NVTEXT_BENCHMARK_DEFINE(multi) | ||
NVTEXT_BENCHMARK_DEFINE(count) | ||
NVTEXT_BENCHMARK_DEFINE(count_multi) | ||
NVTEXT_BENCHMARK_DEFINE(ngrams) |