tf.compat.v1.flags.DEFINE_multi_float | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.flags.DEFINE_multi_float
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Registers a flag whose value can be a list of arbitrary floats.
tf.compat.v1.flags.DEFINE_multi_float(
name,
default,
help,
lower_bound=None,
upper_bound=None,
flag_values=_flagvalues.FLAGS,
required=False,
**args
)
Use the flag on the command line multiple times to place multiple float values into the list. The 'default' may be a single float (which will be converted into a single-element list) or a list of floats.
| Args | |
|---|---|
| name | str, the flag name. |
| default | Union[Iterable[float], Text, None], the default value of the flag; see DEFINE_multi. |
| help | str, the help message. |
| lower_bound | float, min values of the flag. |
| upper_bound | float, max values of the flag. |
| flag_values | :class:FlagValues, the FlagValues instance with which the flag will be registered. This should almost never need to be overridden. |
| required | bool, is this a required flag. This must be used as a keyword argument. |
| **args | Dictionary with extra keyword args that are passed to theFlag.__init__. |
| Returns |
|---|
| a handle to defined flag. |
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Last updated 2024-04-26 UTC.