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123 lines
4.9 KiB
Python
Executable File
123 lines
4.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright (c) 2024 Advanced Micro Devices, Inc. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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import argparse
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from collections import namedtuple
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import os
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import re
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import stat
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import subprocess
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import sys
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import time
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BenchmarkContext = namedtuple('BenchmarkContext', ['gpu_architecture', 'benchmark_output_dir', 'benchmark_dir', 'benchmark_filename_regex', 'benchmark_filter_regex', 'seed'])
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def run_benchmarks(benchmark_context):
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def is_benchmark_executable(filename):
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if not re.match(benchmark_context.benchmark_filename_regex, filename):
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return False
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path = os.path.join(benchmark_context.benchmark_dir, filename)
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st_mode = os.stat(path).st_mode
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# we are not interested in permissions, just whether there is any execution flag set
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# and it is a regular file (S_IFREG)
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return (st_mode & (stat.S_IXUSR | stat.S_IXGRP | stat.S_IXOTH)) and (st_mode & stat.S_IFREG)
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success = True
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benchmark_names = [name for name in os.listdir(benchmark_context.benchmark_dir) if is_benchmark_executable(name)]
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benchmark_names.sort()
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print('The following benchmarks will be ran:\n{}'.format('\n'.join(benchmark_names)), file=sys.stderr, flush=True)
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for benchmark_name in benchmark_names:
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results_json_name = f'{benchmark_name}_{benchmark_context.gpu_architecture}.json'
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benchmark_path = os.path.join(benchmark_context.benchmark_dir, benchmark_name)
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results_json_path = os.path.join(benchmark_context.benchmark_output_dir, results_json_name)
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args = [
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benchmark_path,
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'--name_format',
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'json',
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'--benchmark_out_format=json',
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f'--benchmark_out={results_json_path}',
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f'--benchmark_filter={benchmark_context.benchmark_filter_regex}'
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]
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if benchmark_context.seed:
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args += ['--seed', benchmark_context.seed]
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try:
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start_time = time.time()
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subprocess.check_call(args)
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end_time = time.time()
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duration = end_time - start_time
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print(f'Benchmark {benchmark_name} took {duration:.3f} seconds to run', file=sys.stderr, flush=True)
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except subprocess.CalledProcessError as error:
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print(f'Could not run benchmark at {benchmark_path}. Error: "{error}"', file=sys.stderr, flush=True)
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success = False
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return success
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--benchmark_dir',
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help='The local directory that contains the benchmark executables',
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required=True)
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parser.add_argument('--benchmark_gpu_architecture',
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help='The architecture of the currently enabled GPU',
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required=True)
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parser.add_argument('--benchmark_output_dir',
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help='The directory to write the benchmarks to',
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required=True)
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parser.add_argument('--benchmark_filename_regex',
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help='Regular expression that controls the list of benchmark executables to run',
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default=r'^benchmark',
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required=False)
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parser.add_argument('--benchmark_filter_regex',
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help='Regular expression that controls the list of benchmarks to run in each benchmark executable',
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default='',
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required=False)
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parser.add_argument('--seed',
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help='Controls the seed for random number generation for each benchmark case',
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default='',
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required=False)
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args = parser.parse_args()
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benchmark_context = BenchmarkContext(
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args.benchmark_gpu_architecture,
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args.benchmark_output_dir,
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args.benchmark_dir,
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args.benchmark_filename_regex,
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args.benchmark_filter_regex,
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args.seed)
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benchmark_run_successful = run_benchmarks(benchmark_context)
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return benchmark_run_successful
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if __name__ == '__main__':
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success = main()
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if success:
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exit(0)
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else:
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exit(1)
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