Class ConversionOptions
Defined in tensorflow/python/autograph/impl/api.py
.
Container for conversion flags.
Attributes:
recursive
: bool, whether to recursively convert any user functions or classes that the converted function may use.verbose
: bool, whether to log the compiled code.strip_decorators
: Tuple[Callable], contains decorators that should be in excluded from the compiled output. By default, when converting a function before the decorators are applied, the compiled output will include those decorators.force_conversion
: bool, whether to force convertinng the target entity. When force_conversion is turned off, the converter may decide to return the function as-is.arg_types
: Optional[Dict[Text, Type]], type hints for symbols including function arguments.
__new__
__new__(
_cls,
recursive,
verbose,
strip_decorators,
force_conversion,
arg_types
)
Create new instance of ConversionOptions(recursive, verbose, strip_decorators, force_conversion, arg_types)
Properties
recursive
verbose
strip_decorators
force_conversion
arg_types
Methods
new
@classmethod
new(
cls,
recursive=False,
verbose=False,
strip_decorators=None,
force_conversion=False,
arg_types=None
)