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executor.py 8.89 KB
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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.

"""SuperBench Executor."""

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import os
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import json
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from pathlib import Path

from omegaconf import ListConfig

from superbench.benchmarks import Platform, Framework, BenchmarkRegistry
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from superbench.common.utils import SuperBenchLogger, logger, rotate_dir
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from superbench.common.devices import GPU
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from superbench.monitor import Monitor
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class SuperBenchExecutor():
    """SuperBench executor class."""
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    def __init__(self, sb_config, sb_output_dir):
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        """Initilize.

        Args:
            sb_config (DictConfig): SuperBench config object.
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            sb_output_dir (str): SuperBench output directory.
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        """
        self._sb_config = sb_config
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        self._sb_output_dir = sb_output_dir
        self._output_path = Path(sb_output_dir).expanduser().resolve()
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        self.__set_logger('sb-exec.log')
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        logger.debug('Executor uses config: %s.', self._sb_config)
        logger.debug('Executor writes to: %s.', str(self._output_path))
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        self.__validate_sb_config()
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        self._sb_monitor_config = self._sb_config.superbench.monitor
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        self._sb_benchmarks = self._sb_config.superbench.benchmarks
        self._sb_enabled = self.__get_enabled_benchmarks()
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        logger.debug('Executor will execute: %s', self._sb_enabled)
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    def __set_logger(self, filename):
        """Set logger and add file handler.

        Args:
            filename (str): Log file name.
        """
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        SuperBenchLogger.add_handler(logger.logger, filename=str(self._output_path / filename))
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    def __validate_sb_config(self):
        """Validate SuperBench config object.

        Raise:
            InvalidConfigError: If input config is invalid.
        """
        # TODO: add validation

    def __get_enabled_benchmarks(self):
        """Get enabled benchmarks list.

        Return:
            list: List of benchmarks which will be executed.
        """
        if self._sb_config.superbench.enable:
            if isinstance(self._sb_config.superbench.enable, str):
                return [self._sb_config.superbench.enable]
            elif isinstance(self._sb_config.superbench.enable, (list, ListConfig)):
                return list(self._sb_config.superbench.enable)
        # TODO: may exist order issue
        return [k for k, v in self._sb_benchmarks.items() if v.enable]

    def __get_platform(self):
        """Detect runninng platform by environment."""
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        try:
            gpu = GPU()
            if gpu.vendor == 'nvidia':
                return Platform.CUDA
            elif gpu.vendor == 'amd':
                return Platform.ROCM
        except Exception as e:
            logger.error(e)
        return Platform.CPU
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    def __get_arguments(self, parameters):
        """Get command line arguments for argparse.

        Args:
            parameters (DictConfig): Parameters config dict.

        Return:
            str: Command line arguments.
        """
        argv = []
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        if not parameters:
            return ''
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        for name, val in parameters.items():
            if val is None:
                continue
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            if isinstance(val, bool):
                if val:
                    argv.append('--{}'.format(name))
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            elif isinstance(val, (str, int, float)):
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                argv.append('--{} {}'.format(name, val))
            elif isinstance(val, (list, ListConfig)):
                argv.append('--{} {}'.format(name, ' '.join(val)))
        return ' '.join(argv)

    def __exec_benchmark(self, context, log_suffix):
        """Launch benchmark for context.

        Args:
            context (BenchmarkContext): Benchmark context to launch.
            log_suffix (str): Log string suffix.
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        Return:
            dict: Benchmark results.
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        """
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        try:
            benchmark = BenchmarkRegistry.launch_benchmark(context)
            if benchmark:
                logger.info(
                    'benchmark: %s, return code: %s, result: %s.', benchmark.name, benchmark.return_code,
                    benchmark.result
                )
                if benchmark.return_code.value == 0:
                    logger.info('Executor succeeded in %s.', log_suffix)
                else:
                    logger.error('Executor failed in %s.', log_suffix)
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                return json.loads(benchmark.serialized_result)
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            else:
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                logger.error('Executor failed in %s, invalid context.', log_suffix)
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        except Exception as e:
            logger.error(e)
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            logger.error('Executor failed in %s.', log_suffix)
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        return None

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    def __get_rank_id(self):
        """Get rank ID for current process.

        Return:
            int: Rank ID.
        """
        for rank_env in ['PROC_RANK', 'LOCAL_RANK']:
            if os.getenv(rank_env):
                return int(os.getenv(rank_env))

        return 0

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    def __get_benchmark_dir(self, benchmark_name):
        """Get output directory for benchmark's current rank.

        Args:
            benchmark_name (str): Benchmark name.
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        Return:
            Path: output directory.
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        """
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        return self._output_path / 'benchmarks' / benchmark_name / ('rank' + str(self.__get_rank_id()))
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    def __create_benchmark_dir(self, benchmark_name):
        """Create output directory for benchmark.

        Args:
            benchmark_name (str): Benchmark name.
        """
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        rotate_dir(self.__get_benchmark_dir(benchmark_name))
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        try:
            self.__get_benchmark_dir(benchmark_name).mkdir(mode=0o755, parents=True, exist_ok=True)
        except Exception:
            logger.exception('Failed to create output directory for benchmark %s.', benchmark_name)
            raise
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    def __write_benchmark_results(self, benchmark_name, benchmark_results):
        """Write benchmark results.

        Args:
            benchmark_name (str): Benchmark name.
            benchmark_results (dict): Benchmark results.
        """
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        with (self.__get_benchmark_dir(benchmark_name) / 'results.json').open(mode='w') as f:
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            json.dump(benchmark_results, f, indent=2)
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    def __get_monitor_path(self, benchmark_name):
        """Get the output file path for the monitor.

        Args:
            benchmark_name (str): Benchmark name.

        Return:
            str: monitor output file path.
        """
        return f'{self.__get_benchmark_dir(benchmark_name) / "monitor.jsonl"}'

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    def exec(self):
        """Run the SuperBench benchmarks locally."""
        for benchmark_name in self._sb_benchmarks:
            if benchmark_name not in self._sb_enabled:
                continue
            benchmark_config = self._sb_benchmarks[benchmark_name]
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            benchmark_results = list()
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            self.__create_benchmark_dir(benchmark_name)
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            monitor = None
            if self.__get_rank_id() == 0 and self._sb_monitor_config and self._sb_monitor_config.enable:
                if self.__get_platform() == Platform.CUDA:
                    monitor = Monitor(
                        None, int(self._sb_monitor_config.sample_duration or 10),
                        int(self._sb_monitor_config.sample_interval or 1), self.__get_monitor_path(benchmark_name)
                    )
                    monitor.start()
                else:
                    logger.warning('Monitor can not support ROCM/CPU platform.')

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            for framework in benchmark_config.frameworks or [Framework.NONE.value]:
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                if benchmark_name.endswith('_models'):
                    for model in benchmark_config.models:
                        log_suffix = 'model-benchmark {}: {}/{}'.format(benchmark_name, framework, model)
                        logger.info('Executor is going to execute %s.', log_suffix)
                        context = BenchmarkRegistry.create_benchmark_context(
                            model,
                            platform=self.__get_platform(),
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                            framework=Framework(framework.lower()),
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                            parameters=self.__get_arguments(benchmark_config.parameters)
                        )
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                        result = self.__exec_benchmark(context, log_suffix)
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                        benchmark_results.append(result)
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                else:
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                    log_suffix = 'micro-benchmark {}'.format(benchmark_name)
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                    logger.info('Executor is going to execute %s.', log_suffix)
                    context = BenchmarkRegistry.create_benchmark_context(
                        benchmark_name,
                        platform=self.__get_platform(),
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                        framework=Framework(framework.lower()),
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                        parameters=self.__get_arguments(benchmark_config.parameters)
                    )
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                    result = self.__exec_benchmark(context, log_suffix)
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                    benchmark_results.append(result)

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            if monitor:
                monitor.stop()
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            self.__write_benchmark_results(benchmark_name, benchmark_results)