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Add gbenchmark for nvtext tokenize functions (#7684)
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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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davidwendt authored Mar 24, 2021
1 parent de55832 commit 6ed360c
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1 change: 1 addition & 0 deletions cpp/benchmarks/CMakeLists.txt
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Expand Up @@ -177,6 +177,7 @@ ConfigureBench(BINARYOP_BENCH binaryop/binaryop_benchmark.cu)
ConfigureBench(TEXT_BENCH
text/normalize_benchmark.cpp
text/normalize_spaces_benchmark.cpp
text/tokenize_benchmark.cpp
text/subword_benchmark.cpp)

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92 changes: 92 additions & 0 deletions cpp/benchmarks/text/tokenize_benchmark.cpp
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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.
*/

#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>

#include <cudf/scalar/scalar.hpp>
#include <cudf/strings/strings_column_view.hpp>
#include <cudf_test/base_fixture.hpp>
#include <cudf_test/column_wrapper.hpp>

#include <nvtext/ngrams_tokenize.hpp>
#include <nvtext/tokenize.hpp>

class TextTokenize : public cudf::benchmark {
};

enum class tokenize_type { single, multi, count, count_multi, ngrams };

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({" ", "+", "-"});

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;
}
}

state.SetBytesProcessed(state.iterations() * input.chars_size());
}

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);
}

#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);

NVTEXT_BENCHMARK_DEFINE(single)
NVTEXT_BENCHMARK_DEFINE(multi)
NVTEXT_BENCHMARK_DEFINE(count)
NVTEXT_BENCHMARK_DEFINE(count_multi)
NVTEXT_BENCHMARK_DEFINE(ngrams)

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