Python configargparse.ArgumentDefaultsHelpFormatter() Examples

The following are 8 code examples of configargparse.ArgumentDefaultsHelpFormatter(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module configargparse , or try the search function .
Example #1
Source File: preprocess.py    From ITDD with MIT License 6 votes vote down vote up 
def parse_args():
    parser = configargparse.ArgumentParser(
        description='preprocess.py',
        config_file_parser_class=configargparse.YAMLConfigFileParser,
        formatter_class=configargparse.ArgumentDefaultsHelpFormatter)

    opts.config_opts(parser)
    opts.add_md_help_argument(parser)
    opts.preprocess_opts(parser)

    opt = parser.parse_args()
    torch.manual_seed(opt.seed)

    check_existing_pt_files(opt)

    return opt
Example #2
Source File: argparser.py    From ngraph-python with Apache License 2.0 6 votes vote down vote up 
def __init__(self, *args, **kwargs):
        self._PARSED = False
        self.work_dir = os.path.join(os.path.expanduser('~'), 'nervana')
        if 'default_config_files' not in kwargs:
            kwargs['default_config_files'] = [os.path.join(self.work_dir, 'neon.cfg')]
        if 'add_config_file_help' not in kwargs:
            # turn off the auto-generated config help for config files since it
            # referenced unsettable config options like --version
            kwargs['add_config_file_help'] = False

        self.defaults = kwargs.pop('default_overrides', dict())
        super(NgraphArgparser, self).__init__(*args, **kwargs)

        # ensure that default values are display via --help
        self.formatter_class = configargparse.ArgumentDefaultsHelpFormatter

        self.setup_default_args()
Example #3
Source File: argparser.py    From neon with Apache License 2.0 6 votes vote down vote up 
def __init__(self, *args, **kwargs):
        self._PARSED = False
        self.work_dir = os.path.join(os.path.expanduser('~'), 'nervana')
        if 'default_config_files' not in kwargs:
            kwargs['default_config_files'] = [os.path.join(self.work_dir,
                                                           'neon.cfg')]
        if 'add_config_file_help' not in kwargs:
            # turn off the auto-generated config help for config files since it
            # referenced unsettable config options like --version
            kwargs['add_config_file_help'] = False

        self.defaults = kwargs.pop('default_overrides', dict())
        super(NeonArgparser, self).__init__(*args, **kwargs)

        # ensure that default values are display via --help
        self.formatter_class = configargparse.ArgumentDefaultsHelpFormatter

        self.setup_default_args()
Example #4
Source File: argparse2rst.py    From espnet with Apache License 2.0 5 votes vote down vote up 
def get_parser():
    parser = configargparse.ArgumentParser(
        description='generate RST from argparse options',
        config_file_parser_class=configargparse.YAMLConfigFileParser,
        formatter_class=configargparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('src', type=str, nargs='+',
                        help='source python files that contain get_parser() func')
    return parser


# parser
Example #5
Source File: parse.py    From encoder-agnostic-adaptation with MIT License 5 votes vote down vote up 
def __init__(
            self,
            config_file_parser_class=cfargparse.YAMLConfigFileParser,
            formatter_class=cfargparse.ArgumentDefaultsHelpFormatter,
            **kwargs):
        super(ArgumentParser, self).__init__(
            config_file_parser_class=config_file_parser_class,
            formatter_class=formatter_class,
            **kwargs)
Example #6
Source File: parse.py    From OpenNMT-py with MIT License 5 votes vote down vote up 
def __init__(
            self,
            config_file_parser_class=cfargparse.YAMLConfigFileParser,
            formatter_class=cfargparse.ArgumentDefaultsHelpFormatter,
            **kwargs):
        super(ArgumentParser, self).__init__(
            config_file_parser_class=config_file_parser_class,
            formatter_class=formatter_class,
            **kwargs)
Example #7
Source File: parse.py    From OpenNMT-kpg-release with MIT License 5 votes vote down vote up 
def __init__(
            self,
            config_file_parser_class=cfargparse.YAMLConfigFileParser,
            formatter_class=cfargparse.ArgumentDefaultsHelpFormatter,
            **kwargs):
        super(ArgumentParser, self).__init__(
            config_file_parser_class=config_file_parser_class,
            formatter_class=formatter_class,
            **kwargs)
Example #8
Source File: tts_decode.py    From adviser with GNU General Public License v3.0 4 votes vote down vote up 
def get_parser():
    """Get parser of decoding arguments."""
    parser = configargparse.ArgumentParser(
        description='Synthesize speech from text using a TTS model on one CPU',
        config_file_parser_class=configargparse.YAMLConfigFileParser,
        formatter_class=configargparse.ArgumentDefaultsHelpFormatter)
    # general configuration
    parser.add('--config', is_config_file=True, help='config file path')
    parser.add('--config2', is_config_file=True,
               help='second config file path that overwrites the settings in `--config`.')
    parser.add('--config3', is_config_file=True,
               help='third config file path that overwrites the settings in `--config` and `--config2`.')

    parser.add_argument('--ngpu', default=0, type=int,
                        help='Number of GPUs')
    parser.add_argument('--backend', default='pytorch', type=str,
                        choices=['chainer', 'pytorch'],
                        help='Backend library')
    parser.add_argument('--debugmode', default=1, type=int,
                        help='Debugmode')
    parser.add_argument('--seed', default=1, type=int,
                        help='Random seed')
    parser.add_argument('--out', type=str, required=True,
                        help='Output filename')
    parser.add_argument('--verbose', '-V', default=0, type=int,
                        help='Verbose option')
    parser.add_argument('--preprocess-conf', type=str, default=None,
                        help='The configuration file for the pre-processing')
    # task related
    parser.add_argument('--json', type=str, required=True,
                        help='Filename of train label data (json)')
    parser.add_argument('--model', type=str, required=True,
                        help='Model file parameters to read')
    parser.add_argument('--model-conf', type=str, default=None,
                        help='Model config file')
    # decoding related
    parser.add_argument('--maxlenratio', type=float, default=5,
                        help='Maximum length ratio in decoding')
    parser.add_argument('--minlenratio', type=float, default=0,
                        help='Minimum length ratio in decoding')
    parser.add_argument('--threshold', type=float, default=0.5,
                        help='Threshold value in decoding')
    parser.add_argument('--use-att-constraint', type=strtobool, default=False,
                        help='Whether to use the attention constraint')
    parser.add_argument('--backward-window', type=int, default=1,
                        help='Backward window size in the attention constraint')
    parser.add_argument('--forward-window', type=int, default=3,
                        help='Forward window size in the attention constraint')
    # save related
    parser.add_argument('--save-durations', default=False, type=strtobool,
                        help='Whether to save durations converted from attentions')
    parser.add_argument('--save-focus-rates', default=False, type=strtobool,
                        help='Whether to save focus rates of attentions')
    return parser