:py:mod:`neural_compressor.ux.utils.parser` =========================================== .. py:module:: neural_compressor.ux.utils.parser .. autoapi-nested-parse:: Parsers for log files. Module Contents --------------- Classes ~~~~~~~ .. autoapisummary:: neural_compressor.ux.utils.parser.Parser neural_compressor.ux.utils.parser.OptimizationParser neural_compressor.ux.utils.parser.PerformanceParser neural_compressor.ux.utils.parser.AccuracyParser neural_compressor.ux.utils.parser.BenchmarkParserFactory neural_compressor.ux.utils.parser.ProfilingParser .. py:class:: Parser(logs: list) Bases: :py:obj:`abc.ABC` Parser abstract class. .. py:property:: patterns :type: dict :abstractmethod: Set patterns to get metrics from lines. .. py:method:: process() -> Dict[str, Any] :abstractmethod: Process log files. .. py:class:: OptimizationParser(logs: list) Bases: :py:obj:`Parser` Parser class is responsible for parsing optimization log files. .. py:property:: patterns :type: dict Set patterns to get metrics from lines. .. py:method:: process() -> Dict[str, Any] Process files. .. py:class:: PerformanceParser(logs: list) Bases: :py:obj:`Parser` Parser class is responsible for parsing performance benchmark log files. .. py:property:: patterns :type: dict Set patterns to get metrics from lines. .. py:method:: process() -> Dict[str, Any] Process files. .. py:method:: update_partial(partial: Dict[str, List], parsed_result: Dict[str, Union[float, int]]) -> Dict[str, List] :staticmethod: Update partial entries. .. py:method:: summarize_partial(partial: dict) -> dict Calculate final values. .. py:method:: summarize_value(key: str, value: list) -> Union[float, int] :staticmethod: Calculate final value. .. py:class:: AccuracyParser(logs: list) Bases: :py:obj:`Parser` Parser class is responsible for parsing accuracy benchmark log files. .. py:property:: patterns :type: dict Set patterns to get metrics from lines. .. py:method:: process() -> Dict[str, Any] Process accuracy logs. .. py:class:: BenchmarkParserFactory Benchmark parser factory. .. py:method:: get_parser(benchmark_mode: str, logs: List[str]) -> Parser :staticmethod: Get benchmark parser for specified mode. .. py:class:: ProfilingParser(logs: list) Bases: :py:obj:`Parser` Parser class is responsible for parsing profiling log files. .. py:property:: patterns :type: dict Set patterns to get metrics from lines. .. py:method:: unify_time(string_value: str) -> float :staticmethod: Unify time with unit to micro seconds float value. :param string_value: time value with unit, e.g. 125.6ms :type string_value: str :return: time value in microseconds :rtype: float .. py:method:: process() -> Dict[str, Any] Process profiling logs.