本文整理汇总了Python中configargparse.ArgumentDefaultsHelpFormatter方法的典型用法代码示例。如果您正苦于以下问题：Python configargparse.ArgumentDefaultsHelpFormatter方法的具体用法？Python configargparse.ArgumentDefaultsHelpFormatter怎么用？Python configargparse.ArgumentDefaultsHelpFormatter使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类configargparse的用法示例。
在下文中一共展示了configargparse.ArgumentDefaultsHelpFormatter方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: parse_args
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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 示例2: __init__
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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() 示例3: __init__
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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() 示例4: get_parser
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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 示例5: __init__
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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) 示例6: get_parser
# 需要导入模块: import configargparse [as 别名]
# 或者: from configargparse import ArgumentDefaultsHelpFormatter [as 别名]
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