Python flags.DEFINE_boolean方法代碼示例

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_flags(specs=None):
  """Define a command line flag for each ParamSpec in flags.param_specs."""
  specs = specs or param_specs
  define_flag = {
      'boolean': absl_flags.DEFINE_boolean,
      'float': absl_flags.DEFINE_float,
      'integer': absl_flags.DEFINE_integer,
      'string': absl_flags.DEFINE_string,
      'enum': absl_flags.DEFINE_enum,
      'list': absl_flags.DEFINE_list
  }
  for name, param_spec in six.iteritems(specs):
    if param_spec.flag_type not in define_flag:
      raise ValueError('Unknown flag_type %s' % param_spec.flag_type)
    else:
      define_flag[param_spec.flag_type](name, param_spec.default_value,
                                        help=param_spec.description,
                                        **param_spec.kwargs) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def _define_flags(options):
  for option in _filter_options(options):
    name, type_, default_ = option[:3]
    if type_ == 'boolean':
      flags.DEFINE_boolean(name, default_, '')
    elif type_ == 'integer':
      flags.DEFINE_integer(name, default_, '')
    elif type_ == 'float':
      flags.DEFINE_float(name, default_, '')
    elif type_ == 'string':
      flags.DEFINE_string(name, default_, '')
    elif type_ == 'list_of_ints':
      flags.DEFINE_string(name, default_, '')
    else:
      assert 'Unexpected option type %s' % type_


# Define command-line flags for all options (unless `internal`). 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def duplicate_flags(flagnames=None):
  """Returns a new FlagValues object with the requested flagnames.

  Used to test DuplicateFlagError detection.

  Args:
    flagnames: str, A list of flag names to create.

  Returns:
    A FlagValues object with one boolean flag for each name in flagnames.
  """
  flag_values = flags.FlagValues()
  for name in flagnames:
    flags.DEFINE_boolean(name, False, 'Flag named %s' % (name,),
                         flag_values=flag_values)
  return flag_values 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_flags(flag_values=FLAGS):
  """Defines some flags.

  Args:
    flag_values: The FlagValues object we want to register the flags
      with.
  """
  # The 'tmod_bar_' prefix (short for 'test_module_bar') ensures there
  # is no name clash with the existing flags.
  flags.DEFINE_boolean('tmod_bar_x', True, 'Boolean flag.',
                       flag_values=flag_values)
  flags.DEFINE_string('tmod_bar_y', 'default', 'String flag.',
                      flag_values=flag_values)
  flags.DEFINE_boolean('tmod_bar_z', False,
                       'Another boolean flag from module bar.',
                       flag_values=flag_values)
  flags.DEFINE_integer('tmod_bar_t', 4, 'Sample int flag.',
                       flag_values=flag_values)
  flags.DEFINE_integer('tmod_bar_u', 5, 'Sample int flag.',
                       flag_values=flag_values)
  flags.DEFINE_integer('tmod_bar_v', 6, 'Sample int flag.',
                       flag_values=flag_values) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_wide_deep_flags():
  """Add supervised learning flags, as well as wide-deep model type."""
  flags_core.define_base(clean=True, train_epochs=True,
                         epochs_between_evals=True)
  flags_core.define_benchmark()
  flags_core.define_performance(
      num_parallel_calls=False, inter_op=True, intra_op=True,
      synthetic_data=False, max_train_steps=False, dtype=False,
      all_reduce_alg=False)

  flags.adopt_module_key_flags(flags_core)

  flags.DEFINE_enum(
      name="model_type", short_name="mt", default="wide_deep",
      enum_values=['wide', 'deep', 'wide_deep'],
      help="Select model topology.")
  flags.DEFINE_boolean(
      name="download_if_missing", default=True, help=flags_core.help_wrap(
          "Download data to data_dir if it is not already present.")) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_flags():
  """Define a command line flag for each ParamSpec in flags.param_specs."""
  define_flag = {
      'boolean': absl_flags.DEFINE_boolean,
      'float': absl_flags.DEFINE_float,
      'integer': absl_flags.DEFINE_integer,
      'string': absl_flags.DEFINE_string,
      'enum': absl_flags.DEFINE_enum,
      'list': absl_flags.DEFINE_list
  }
  for name, param_spec in six.iteritems(param_specs):
    if param_spec.flag_type not in define_flag:
      raise ValueError('Unknown flag_type %s' % param_spec.flag_type)
    else:
      define_flag[param_spec.flag_type](name, param_spec.default_value,
                                        help=param_spec.description,
                                        **param_spec.kwargs) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_wide_deep_flags():
  """Add supervised learning flags, as well as wide-deep model type."""
  flags_core.define_base()
  flags_core.define_benchmark()
  flags_core.define_performance(
      num_parallel_calls=False, inter_op=True, intra_op=True,
      synthetic_data=False, max_train_steps=False, dtype=False,
      all_reduce_alg=False)

  flags.adopt_module_key_flags(flags_core)

  flags.DEFINE_enum(
      name="model_type", short_name="mt", default="wide_deep",
      enum_values=['wide', 'deep', 'wide_deep'],
      help="Select model topology.")
  flags.DEFINE_boolean(
      name="download_if_missing", default=True, help=flags_core.help_wrap(
          "Download data to data_dir if it is not already present.")) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def DEFINE_boolean(name, default, help):  # pylint: disable=invalid-name,redefined-builtin
  param_specs[name] = ParamSpec('boolean', default, help, {}) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_flags():
    """Define a command line flag for each ParamSpec in _DEFAULT_PARAMS."""
    define_flag = {
        'boolean': flags.DEFINE_boolean,
        'float': flags.DEFINE_float,
        'integer': flags.DEFINE_integer,
        'string': flags.DEFINE_string,
    }
    for name, param_spec in six.iteritems(_DEFAULT_PARAMS):
        if param_spec.flag_type not in define_flag:
            raise ValueError('Unknown flag_type %s' % param_spec.flag_type)
        else:
            define_flag[param_spec.flag_type](name, param_spec.default_value,
                                              param_spec.description)
            flags.declare_key_flag(name) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_resnet_flags(resnet_size_choices=None):
  """Add flags and validators for ResNet."""
  flags_core.define_base()
  flags_core.define_performance(num_parallel_calls=False)
  flags_core.define_image()
  flags_core.define_benchmark()
  flags.adopt_module_key_flags(flags_core)

  flags.DEFINE_enum(
      name='resnet_version', short_name='rv', default='1',
      enum_values=['1', '2'],
      help=flags_core.help_wrap(
          'Version of ResNet. (1 or 2) See README.md for details.'))
  flags.DEFINE_bool(
      name='fine_tune', short_name='ft', default=False,
      help=flags_core.help_wrap(
          'If True do not train any parameters except for the final layer.'))
  flags.DEFINE_string(
      name='pretrained_model_checkpoint_path', short_name='pmcp', default=None,
      help=flags_core.help_wrap(
          'If not None initialize all the network except the final layer with '
          'these values'))
  flags.DEFINE_boolean(
      name='eval_only', default=False,
      help=flags_core.help_wrap('Skip training and only perform evaluation on '
                                'the latest checkpoint.'))

  choice_kwargs = dict(
      name='resnet_size', short_name='rs', default='50',
      help=flags_core.help_wrap('The size of the ResNet model to use.'))

  if resnet_size_choices is None:
    flags.DEFINE_string(**choice_kwargs)
  else:
    flags.DEFINE_enum(enum_values=resnet_size_choices, **choice_kwargs) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_keras_flags():
  flags.DEFINE_boolean(name='enable_eager', default=False, help='Enable eager?')
  flags.DEFINE_boolean(name='skip_eval', default=False, help='Skip evaluation?')
  flags.DEFINE_integer(
      name='train_steps', default=None,
      help='The number of steps to run for training. If it is larger than '
      '# batches per epoch, then use # batches per epoch. When this flag is '
      'set, only one epoch is going to run for training.')
  flags.DEFINE_integer(
      name='log_steps', default=100,
      help='For every log_steps, we log the timing information such as '
      'examples per second. Besides, for every log_steps, we store the '
      'timestamp of a batch end.') 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def define_flags(flag_values=FLAGS):
  """Defines a few flags."""
  module_bar.define_flags(flag_values=flag_values)
  # The 'tmod_foo_' prefix (short for 'test_module_foo') ensures that we
  # have no name clash with existing flags.
  flags.DEFINE_boolean('tmod_foo_bool', True, 'Boolean flag from module foo.',
                       flag_values=flag_values)
  flags.DEFINE_string('tmod_foo_str', 'default', 'String flag.',
                      flag_values=flag_values)
  flags.DEFINE_integer('tmod_foo_int', 3, 'Sample int flag.',
                       flag_values=flag_values) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def setUp(self):
    self.flag_values = flags.FlagValues()
    flags.DEFINE_string('unittest_message1', 'Foo!', 'You Add Here.',
                        flag_values=self.flag_values)
    flags.DEFINE_string('unittest_message2', 'Bar!', 'Hello, Sailor!',
                        flag_values=self.flag_values)
    flags.DEFINE_boolean('unittest_boolflag', 0, 'Some Boolean thing',
                         flag_values=self.flag_values)
    flags.DEFINE_integer('unittest_number', 12345, 'Some integer',
                         lower_bound=0, flag_values=self.flag_values)
    flags.DEFINE_list('UnitTestList', '1,2,3', 'Some list',
                      flag_values=self.flag_values)
    self.tmp_path = None
    self.flag_values.mark_as_parsed() 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def test_find_module_defining_flag_passing_module_name(self):
    my_flags = flags.FlagValues()
    module_name = sys.__name__  # Must use an existing module.
    flags.DEFINE_boolean('flag_name', True,
                         'Flag with a different module name.',
                         flag_values=my_flags,
                         module_name=module_name)
    self.assertEqual(module_name,
                     my_flags.find_module_defining_flag('flag_name')) 

# 需要導入模塊: from absl import flags [as 別名]
# 或者: from absl.flags import DEFINE_boolean [as 別名]
def test_find_module_id_defining_flag_passing_module_name(self):
    my_flags = flags.FlagValues()
    module_name = sys.__name__  # Must use an existing module.
    flags.DEFINE_boolean('flag_name', True,
                         'Flag with a different module name.',
                         flag_values=my_flags,
                         module_name=module_name)
    self.assertEqual(id(sys),
                     my_flags.find_module_id_defining_flag('flag_name'))