Shortcuts

Source code for catalyst.settings

from typing import Any, Dict, List, Optional, Tuple
import configparser
import logging
import os

from catalyst.tools.frozen_class import FrozenClass

logger = logging.getLogger(__name__)

try:
    from git import Repo  # noqa: F401

    IS_GIT_AVAILABLE = True
except ImportError:
    IS_GIT_AVAILABLE = False

try:
    import torch_xla.core.xla_model as xm  # noqa: F401

    IS_XLA_AVAILABLE = True
except ModuleNotFoundError:
    IS_XLA_AVAILABLE = False

try:
    import torch.nn.utils.prune as prune  # noqa: F401

    IS_PRUNING_AVAILABLE = True
except ModuleNotFoundError:
    IS_PRUNING_AVAILABLE = False

try:
    import torch.quantization  # noqa: F401

    IS_QUANTIZATION_AVAILABLE = True
except ModuleNotFoundError:
    IS_QUANTIZATION_AVAILABLE = False

try:
    import optuna  # noqa: F401

    IS_OPTUNA_AVAILABLE = True
except ModuleNotFoundError:
    IS_OPTUNA_AVAILABLE = False


[docs]class Settings(FrozenClass): """Catalyst settings.""" def __init__( # noqa: D107 self, contrib_required: bool = False, cv_required: bool = False, ml_required: bool = False, nlp_required: bool = False, alchemy_logger_required: Optional[bool] = None, neptune_logger_required: Optional[bool] = None, visdom_logger_required: Optional[bool] = None, wandb_logger_required: Optional[bool] = None, optuna_required: Optional[bool] = None, plotly_required: Optional[bool] = None, telegram_logger_token: Optional[str] = None, telegram_logger_chat_id: Optional[str] = None, use_lz4: bool = False, use_pyarrow: bool = False, albumentations_required: Optional[bool] = None, kornia_required: Optional[bool] = None, segmentation_models_required: Optional[bool] = None, use_libjpeg_turbo: bool = False, nmslib_required: Optional[bool] = None, transformers_required: Optional[bool] = None, ): # [catalyst] self.contrib_required: bool = contrib_required self.cv_required: bool = cv_required self.ml_required: bool = ml_required self.nlp_required: bool = nlp_required # stages self.stage_train_prefix: str = "train" self.stage_valid_prefix: str = "valid" self.stage_infer_prefix: str = "infer" # loader self.loader_train_prefix: str = "train" self.loader_valid_prefix: str = "valid" self.loader_infer_prefix: str = "infer" # [catalyst-contrib] self.alchemy_logger_required: bool = self._optional_value( alchemy_logger_required, default=contrib_required ) self.neptune_logger_required: bool = self._optional_value( neptune_logger_required, default=contrib_required ) self.visdom_logger_required: bool = self._optional_value( visdom_logger_required, default=contrib_required ) self.wandb_logger_required: bool = self._optional_value( wandb_logger_required, default=contrib_required ) self.optuna_required: bool = self._optional_value( optuna_required, default=contrib_required ) self.plotly_required: bool = self._optional_value( plotly_required, default=contrib_required ) self.telegram_logger_token: str = telegram_logger_token self.telegram_logger_chat_id: str = telegram_logger_chat_id self.use_lz4: bool = use_lz4 self.use_pyarrow: bool = use_pyarrow # [catalyst-cv] self.albumentations_required: bool = self._optional_value( albumentations_required, default=cv_required ) self.kornia_required: bool = self._optional_value( kornia_required, default=cv_required ) self.segmentation_models_required: bool = self._optional_value( segmentation_models_required, default=cv_required ) self.use_libjpeg_turbo: bool = use_libjpeg_turbo # [catalyst-ml] self.nmslib_required: bool = self._optional_value( nmslib_required, default=ml_required ) # [catalyst-nlp] self.transformers_required: bool = self._optional_value( transformers_required, default=nlp_required ) @staticmethod def _optional_value(value, default): return value if value is not None else default
[docs] def type_hint(self, key: str): """Returns type hint for the specified ``key``. Args: key: key of interest Returns: type hint for the specified key """ # return get_type_hints(self).get(key, None) return type(getattr(self, key, None))
[docs] @staticmethod def parse() -> "Settings": """Parse and return the settings. Returns: Settings: Dictionary of the parsed and merged Settings. """ kwargrs = MergedConfigParser(ConfigFileFinder("catalyst")).parse() return Settings(**kwargrs)
DEFAULT_SETTINGS = Settings()
[docs]class ConfigFileFinder: """Encapsulate the logic for finding and reading config files. Adapted from: - https://gitlab.com/pwoolvett/flake8 (MIT License) - https://github.com/python/mypy (MIT License) """
[docs] def __init__(self, program_name: str) -> None: """Initialize object to find config files. Args: program_name: Name of the current program (e.g., catalyst). """ # user configuration file self.program_name = program_name self.user_config_file = self._user_config_file(program_name) # list of filenames to find in the local/project directory self.project_filenames = ("setup.cfg", "tox.ini", f".{program_name}") self.local_directory = os.path.abspath(os.curdir)
@staticmethod def _user_config_file(program_name: str) -> str: if os.name == "nt": # if running on Windows home_dir = os.path.expanduser("~") config_file_basename = f".{program_name}" else: home_dir = os.environ.get( "XDG_CONFIG_HOME", os.path.expanduser("~/.config") ) config_file_basename = program_name return os.path.join(home_dir, config_file_basename) @staticmethod def _read_config( *files: str, ) -> Tuple[configparser.RawConfigParser, List[str]]: config = configparser.RawConfigParser() found_files: List[str] = [] for filename in files: try: found_files.extend(config.read(filename)) except UnicodeDecodeError: logger.exception( f"There was an error decoding a config file." f" The file with a problem was {filename}." ) except configparser.ParsingError: logger.exception( f"There was an error trying to parse a config file." f" The file with a problem was {filename}." ) return config, found_files
[docs] def generate_possible_local_files(self): """Find and generate all local config files. Yields: str: Path to config file. """ parent = tail = os.getcwd() found_config_files = False while tail and not found_config_files: for project_filename in self.project_filenames: filename = os.path.abspath( os.path.join(parent, project_filename) ) if os.path.exists(filename): yield filename found_config_files = True self.local_directory = parent (parent, tail) = os.path.split(parent)
[docs] def local_config_files(self) -> List[str]: # noqa: D202 """ Find all local config files which actually exist. Returns: List[str]: List of files that exist that are local project config files with extra config files appended to that list (which also exist). """ return list(self.generate_possible_local_files())
[docs] def local_configs(self): """Parse all local config files into one config object.""" config, found_files = self._read_config(*self.local_config_files()) if found_files: logger.debug(f"Found local configuration files: {found_files}") return config
[docs] def user_config(self): """Parse the user config file into a config object.""" config, found_files = self._read_config(self.user_config_file) if found_files: logger.debug(f"Found user configuration files: {found_files}") return config
[docs]class MergedConfigParser: """Encapsulate merging different types of configuration files. This parses out the options registered that were specified in the configuration files, handles extra configuration files, and returns dictionaries with the parsed values. Adapted from: - https://gitlab.com/pwoolvett/flake8 (MIT License) - https://github.com/python/mypy (MIT License) """ #: Set of actions that should use the #: :meth:`~configparser.RawConfigParser.getbool` method. GETBOOL_ACTIONS = {"store_true", "store_false"} # noqa: WPS115
[docs] def __init__(self, config_finder: ConfigFileFinder): """Initialize the MergedConfigParser instance. Args: config_finder: Initialized ConfigFileFinder. """ self.program_name = config_finder.program_name self.config_finder = config_finder
def _normalize_value(self, option, value): final_value = option.normalize( value, self.config_finder.local_directory ) logger.debug( f"{value} has been normalized to {final_value}" f" for option '{option.config_name}'", ) return final_value def _parse_config(self, config_parser): type2method = { bool: config_parser.getboolean, int: config_parser.getint, } config_dict: Dict[str, Any] = {} if config_parser.has_section(self.program_name): for option_name in config_parser.options(self.program_name): type_ = DEFAULT_SETTINGS.type_hint(option_name) method = type2method.get(type_, config_parser.get) config_dict[option_name] = method( self.program_name, option_name ) return config_dict
[docs] def parse(self) -> dict: """Parse and return the local and user config files. First this copies over the parsed local configuration and then iterates over the options in the user configuration and sets them if they were not set by the local configuration file. Returns: dict: Dictionary of the parsed and merged configuration options. """ user_config = self._parse_config(self.config_finder.user_config()) config = self._parse_config(self.config_finder.local_configs()) for option, value in user_config.items(): config.setdefault(option, value) return config
SETTINGS = Settings.parse() setattr(SETTINGS, "IS_GIT_AVAILABLE", IS_GIT_AVAILABLE) # noqa: B010 setattr(SETTINGS, "IS_XLA_AVAILABLE", IS_XLA_AVAILABLE) # noqa: B010 setattr(SETTINGS, "IS_PRUNING_AVAILABLE", IS_PRUNING_AVAILABLE) # noqa: B010 setattr( # noqa: B010 SETTINGS, "IS_QUANTIZATION_AVAILABLE", IS_QUANTIZATION_AVAILABLE ) __all__ = [ "SETTINGS", "Settings", "ConfigFileFinder", "MergedConfigParser", "IS_PRUNING_AVAILABLE", "IS_XLA_AVAILABLE", "IS_GIT_AVAILABLE", "IS_QUANTIZATION_AVAILABLE", ]